JP6264981B2 - Measuring apparatus and measuring method - Google Patents

Description

The present invention relates to a measuring apparatus and how to measure the mass percentage of magnetic components in the magnetic powder granules which are charged to the holding cylinder coil is wound (wt%).

  FeO% of sintered ore, which is an example of a magnetic granular material, is a quality index representing the degree of firing of sintered ore, and a target value is determined according to the requirements of the blast furnace.

As a conventional measurement method for FeO% in this sintered ore (roughly speaking, an amount proportional to the mass percentage of the magnetic component in the magnetic granular material), the following Patent Document 1 discloses a magnetic granular material ( Magnetic powder loaded into a holding cylinder obtained by measurement using a calibration curve showing the relationship between the apparent specific magnetic susceptibility of the sintered ore) and the bulk density of the magnetic component in the magnetic powder. The bulk density of the magnetic component in the magnetic particle is calculated from the apparent specific magnetic susceptibility of the body, and based on the bulk density of the magnetic component in the magnetic particle and the separately calculated bulk density of the magnetic particle. Thus, a technique for calculating the mass percentage of the magnetic component in the magnetic granular material has been proposed. Here, in the following Patent Document 1, “apparent specific magnetic susceptibility (χ _eff )” means a magnetic granular material including air in a holding cylinder having a uniform cylindrical shape with a specific magnetic susceptibility of χ _eff . The specific magnetic susceptibility when considered as a substance, and the “bulk density (ρM) of the magnetic component in the magnetic granular material” is the magnetic component including air and other components in the holding cylinder. Is the density when the density is regarded as a uniform cylindrical substance having a density of ρM, and the “bulk density of the magnetic particles (ρ0)” is a magnetic property including air in the holding cylinder. This is the density when the powder is regarded as a uniform cylindrical substance having a density of ρ0.

JP 2012-189574 A Japanese Patent Publication No.57-28731

  The inventor of the present invention, in a production line for magnetic powder particles (sintered ore) on site, with a sample of sintered ore collected after cooling to 100 ° C. or less with a cooling cooler (at the time of collection about 60 ° C.) at room temperature When FeO% in sintered ore was measured according to the method of Patent Document 1 using the calibration curve created based on the measurement, measurement of FeO% proportional to the content of magnetite, which is a magnetic component in sintered ore, was performed. The result was that the value was higher than the chemical analysis value. This state is shown as “site” in FIG. On the other hand, when the same sample was naturally cooled to about room temperature and then re-measured, the measurement value of FeO% was the same as the chemical analysis value. This state is shown as “re-measurement” in FIG.

The inventor plotted the relationship between the bulk density ρM [kg / cm ³ ] of the magnetic component in the measurement sample and the apparent specific magnetic susceptibility χ _eff on a graph. Is larger than the above-described calibration curve prepared based on the measurement at room temperature, but the apparent specific magnetic susceptibility obtained by re-measurement at about room temperature obtained a result on the calibration curve. This is shown in FIG.

  Further, the inventor measured the surface temperature of the sample with a radiation thermometer in the field, and measured the temperature with a thermocouple inserted at an internal position of about 30 mm from the surface of the sample, thereby measuring the temperature near the surface of the sample. When the change in the apparent specific magnetic susceptibility with time was measured while monitoring the above, it was found that the apparent specific magnetic susceptibility decreased as the temperature of the sample decreased. This is shown in FIG.

  In this regard, in the technology of Patent Document 1, since the temperature change of the magnetic granular material (sintered ore) is not considered at all, in the production line of the magnetic granular material (sintered ore), When measuring the mass percentage of the magnetic component, if the temperature of the magnetic powder is higher than room temperature, which is the temperature at which the calibration curve was created, etc., the mass percentage of the magnetic component in the magnetic powder There was a problem that it was difficult to measure accurately.

In Patent Document 2, the FeO value of the sintered ore is estimated from the measured permeability value of the sintered ore using the correlation between the permeability value of the sintered ore and the FeO value of the sintered ore. In addition, a technique for correcting the FeO value of the sintered ore according to the temperature change of the thermometer 10 ₅ provided in the permeability detection coil 10 ₂ has been proposed.

However, in the technique of Patent Document 2, since the thermometer 10 ₅ measures heat transfer through the magnetic permeability detection coil 10 ₂ , it is difficult to accurately measure the temperature of the sintered ore, As a result, there is a problem that it is difficult to accurately measure the FeO value of the sintered ore at each scene in the production line of the sintered ore.

  The present invention has been made in view of such problems, and in each scene in the magnetic powder production line, the temperature in the magnetic powder is different from the reference temperature at which the calibration curve was created. Another object of the present invention is to provide a mechanism capable of accurately measuring the mass percentage of the magnetic component in the magnetic granular material.

The measuring device of the present invention is a measuring device for measuring the mass percentage of the magnetic component in the magnetic granular material charged in the holding cylinder around which the coil is wound, and is an apparent appearance of the magnetic granular material at a reference temperature. Calibration curve storage means for storing information of a first calibration curve indicating the relationship between the specific magnetic susceptibility and the bulk density of the magnetic component in the magnetic granular material, and the magnetic granular material inserted in the holding cylinder Surface temperature measuring means for measuring the surface temperature, atmosphere temperature measuring means for measuring the ambient temperature around the holding cylinder, the surface temperature, and the magnetism charged in the holding cylinder based on the ambient temperature Based on an average temperature estimating means for estimating an average temperature of the granular material, the average temperature, and a temperature correction coefficient which is a coefficient of a temperature correction function representing the temperature dependence in the apparent specific magnetic susceptibility of the magnetic granular material The first calibration curve Calibration curve generating means for correctly generating a second calibration curve, inductance acquisition means for acquiring the inductance of the coil in a state where the magnetic granular material is inserted in the holding cylinder, and the inductance acquisition means Based on the acquired inductance, the apparent specific magnetic susceptibility calculation means for calculating the apparent specific magnetic susceptibility of the magnetic granular material, and the apparent specific magnetic susceptibility calculation means using the second calibration curve First bulk density calculating means for calculating the bulk density of the magnetic component in the magnetic powder particles from the apparent specific magnetic susceptibility of the calculated magnetic powder particles, the empty weight of the holding cylinder, and the magnetic powder A holding cylinder weight acquisition means for acquiring a total weight of the holding cylinder in a state where a granule is charged; an empty weight of the holding cylinder; a total weight of the holding cylinder; and an internal volume of the holding cylinder. Based on the magnetic A second bulk density calculating means for calculating a bulk density of the granular material; a bulk density of the magnetic component in the magnetic granular material calculated by the first bulk density calculating means; and the second bulk density calculating means. in based on the bulk density of the calculated magnetic powder or granular material, have a, and the magnetic component% by mass calculation means for calculating a measure of the weight percentage of magnetic components in the magnetic powder granules, the calibration curve generated means the reference temperature T _0, the magnetic powder granules the ratio susceptibility apparent chi _eff of, when the bulk density [rho _M of the magnetic component in the magnetic powder granules, the at the reference temperature T ₀ second When the calibration curve of 1 is expressed by the following equation (A), the second calibration curve when the average temperature is T is expressed by the following equations (B) to (E), and the temperature correction coefficient p , Q are obtained in advance by measuring the average temperature T.
χ _eff (T ₀ ) = a (T ₀ ) · ρ _M ² + b (T ₀ ) · ρ _M (A)
χ _eff (T) = a (T) · ρ _M ² + b (T) · ρ _M (B)
a (T) = a (T ₀ ) · f (T) (C)
b (T) = b (T ₀ ) · f (T) (D)
f (T) = p · (T−T ₀ ) ² + q · (T−T ₀ ) +1 (E)
Another aspect of the measuring apparatus of the present invention is a measuring apparatus for measuring a mass percentage of a magnetic component in a magnetic powder particle inserted in a holding cylinder around which a coil is wound, and the magnetic powder particle at a reference temperature Calibration curve storage means for storing information of a first calibration curve indicating the relationship between the apparent specific magnetic susceptibility of the body and the bulk density of the magnetic component in the magnetic granular material, and the magnetism charged in the holding cylinder The holding cylinder is mounted on the basis of the surface temperature measuring means for measuring the surface temperature of the granular material, the atmospheric temperature measuring means for measuring the ambient temperature around the holding cylinder, the surface temperature, and the ambient temperature. Mean temperature estimation means for estimating an average temperature of the magnetic particles that have entered, temperature correction that is a coefficient of a temperature correction function that represents the temperature dependence of the average temperature and the apparent specific magnetic susceptibility of the magnetic particles Based on the coefficient and said Calibration curve generating means for correcting the calibration curve of 1 to generate a second calibration curve; inductance acquiring means for acquiring the inductance of the coil in a state where the magnetic powder particles are inserted into the holding cylinder; Based on the inductance acquired by the inductance acquisition means, the apparent specific magnetic susceptibility calculation means for calculating the apparent specific magnetic susceptibility of the magnetic granular material, and the apparent calibration ratio using the second calibration curve. First bulk density calculating means for calculating the bulk density of the magnetic component in the magnetic powder particles from the apparent specific susceptibility of the magnetic powder particles calculated by the magnetic susceptibility calculating means, and the empty weight of the holding cylinder Holding cylinder weight acquisition means for acquiring the total weight of the holding cylinder in a state where the magnetic powder particles are charged, the empty weight of the holding cylinder, the total weight of the holding cylinder, and the holding cylinder Based on the internal volume of The second bulk density calculating means for calculating the bulk density of the magnetic powder particles, the bulk density of the magnetic component in the magnetic powder particles calculated by the first bulk density calculating means, and the second A magnetic component mass percent calculating means for calculating a measured value of the mass percentage of the magnetic component in the magnetic granular material based on the bulk density of the magnetic granular material calculated by the bulk density calculating means of The average temperature of the magnetic particles charged in the holding cylinder is a value expressed in a linear form between the surface temperature of the magnetic particles and the ambient temperature around the magnetic particles, and the average temperature estimation means is The temperature estimation coefficient, which is a coefficient of the linear form, is the measured value of the mass percentage of the magnetic component in the magnetic granular material of the sample related to the magnetic granular material, and the magnetic component in the magnetic granular material of the sample. The surface temperature measuring means is determined in advance based on the analysis value of mass percent The average temperature of the magnetic granular material charged in the holding cylinder is estimated using the surface temperature measured in step 1, the ambient temperature measured by the ambient temperature measuring means, and the temperature estimation coefficient.
The invention also includes a measurement how by the above-described measuring device.

  ADVANTAGE OF THE INVENTION According to this invention, the measurement of the mass percentage of the magnetic component in the said magnetic granular material can be accurately performed in each scene in the production line of a magnetic granular material.

It is a schematic diagram which shows an example of the external appearance of the measuring apparatus 100 which concerns on embodiment of this invention. It is a block diagram which shows an example of the hardware constitutions of the computer shown in FIG. It is a flowchart which shows an example of the measurement procedure by the measuring apparatus shown in FIG. It is a schematic diagram which shows an example of the function structure which concerns on the calculation process of the magnetic component mass percentage by the computer shown in FIG. It is a figure which shows embodiment of this invention and shows an example of a calibration curve. FIG. 6 is a flowchart illustrating an example of a processing procedure of the calculation method of the magnetic component mass percentage by the computer illustrated in FIG. 1. It is a figure which shows embodiment of this invention and shows an example of the distribution map at the time of matching the chemical analysis value of the mass percentage of the magnetic component in the magnetic granular material of each sample, and its measured value. It is a flowchart which shows embodiment of this invention and shows an example of the process sequence of the determination method of a temperature estimation coefficient. It is a figure which shows Example 1 in embodiment of this invention, and shows the measurement result in the temperature dependence of apparent specific magnetic susceptibility χ _eff (T). It is a figure which shows Example 2 in embodiment of this invention, and shows the matching result of the measured value of FeO% before and after temperature correction, and the chemical analysis value of FeO%. The results of matching the measured values of FeO% and chemical analysis values in the field and remeasurement, and the results of measuring the relationship between the apparent specific magnetic susceptibility χ _eff and the bulk density ρM of the magnetic component in the field and remeasurement are shown. FIG. It is a figure which shows the result of having measured the relationship between apparent specific magnetic susceptibility χ _eff and temperature and elapsed time in the field.

  Hereinafter, embodiments (embodiments) for carrying out the present invention will be described with reference to the drawings.

<External configuration of measuring apparatus 100>
FIG. 1 is a schematic diagram illustrating an example of an appearance of a measuring apparatus 100 according to an embodiment of the present invention.
For example, the measurement apparatus 100 is installed in a measurement chamber as shown in FIG.

  In FIG. 1, 4 is a magnetic granular material, such as a sintered ore, to be measured.

  In FIG. 1, 3 is a holding cylinder for holding the charged magnetic powder particles 4, 1 is a coil wound and fixed on the holding cylinder, 2 is a state in which the holding cylinder 3 is empty or magnetic powder It is an LCR meter that measures the inductance of the coil 1 in a state where the granule 4 is inserted into the holding cylinder 3.

  In FIG. 1, reference numeral 5 denotes a weighing device for measuring an empty weight when the holding cylinder 3 is empty or a total weight when the magnetic powder particles 4 are inserted into the holding cylinder 3. It is a cradle for the device 5.

  In FIG. 1, reference numeral 7 denotes a surface thermometer (surface temperature measuring means) that measures the surface temperature of the magnetic granular material 4 charged in the holding cylinder 3.

  In FIG. 1, reference numeral 8 denotes an atmospheric thermometer (atmosphere temperature measuring means) that measures the atmospheric temperature of the atmosphere in the measurement chamber, more specifically, for example, the ambient temperature around the holding cylinder 3. It is installed in a place where it is not affected by heat from a certain magnetic granular material 4.

  In FIG. 1, reference numeral 6 denotes a computer which controls each device of the LCR meter 2, the weighing device 5, the surface thermometer 7, and the atmospheric thermometer 8, and receives signals from these devices, and receives these signals. Is used to calculate the measurement value of the mass percentage (wt%) of the magnetic component in the magnetic granular material.

<Hardware configuration of computer 6>
FIG. 2 is a block diagram illustrating an example of a hardware configuration of the computer 6 illustrated in FIG.

  In FIG. 2, reference numeral 601 denotes a CPU that controls the entire computer 6 using programs and data stored in a ROM 603 or an external memory 604, which will be described later.

  In FIG. 2, reference numeral 602 denotes an SDRAM, a DRAM, and the like, which includes an area for temporarily storing programs and data loaded from a ROM 603 or an external memory 604 described later, and is necessary for the CPU 601 to perform various processes. RAM having a work area.

  In FIG. 2, reference numeral 603 denotes a ROM that stores data such as programs that do not need to be changed and various parameters.

  In FIG. 2, an external memory 604 stores, for example, an operating system (OS), a program executed by the CPU 601, and data and information known in the description of the present embodiment. In the present embodiment, the program for the CPU 601 to execute the processing according to the present invention is stored in the external memory 604. However, the present invention can be applied to a mode stored in the ROM 603, for example. It is.

  In FIG. 2, 605 is configured to include, for example, a mouse, a keyboard, and the like. For example, an input device that is operated when the user gives various instructions to the computer 6 and inputs the instructions to the CPU 601 or the like. It is.

  In FIG. 2, reference numeral 606 is configured to include a monitor, for example, and is a display unit that outputs various data and various information to the monitor based on the control of the CPU 601.

  In FIG. 2, reference numeral 607 denotes a communication I / F (communication interface) that performs transmission and reception of various data and various information performed between the computer 6 and the external device G.

  In FIG. 2, reference numeral 608 denotes a bus that connects a CPU 601, a RAM 602, a ROM 603, an external memory 604, an input device 605, a display unit 606, and a communication I / F 607 so that they can communicate with each other.

<Measurement Procedure by Measuring Device 100>
FIG. 3 is a flowchart showing an example of a measurement procedure by the measurement apparatus 100 shown in FIG.
In the initial state, the holding cylinder 3 is in an empty state in which the magnetic granular material (sintered ore) 4 is not charged.

  First, in step S101, the computer 6 (CPU 601) controls a moving device (not shown) to place the holding cylinder 3 in an empty state on the weighing device 5 (more specifically, on the cradle 5a of the weighing device). Move to.

  Subsequently, in step S102, the computer 6 (CPU 601) first controls the weighing device 5 to measure the empty weight W0 of the holding cylinder 3. Next, the computer 6 (CPU 601) controls the LCR meter 2 in this state to measure the inductance L1 of the coil 1 when the holding cylinder 3 is empty.

  Subsequently, in step S <b> 103, the computer 6 (CPU 601) collects the magnetic granular material 4 using a sampler (not shown) and inserts it into the holding cylinder 3. At this time, the computer 6 (CPU 601) confirms the state in which the magnetic granular material 4 is inserted into the holding cylinder 3 by a level switch (not shown). Then, the computer 6 (CPU 601) controls a sampler (not shown) when the bulk of the magnetic granular material 4 substantially coincides with the upper surface of the holding cylinder 3 as a result of confirming the charged state of the magnetic granular material 4. The charging of the magnetic granular material 4 into the holding cylinder 3 is stopped.

Subsequently, in step S104, the computer 6 (CPU 601) uses a reference temperature T ₀ (a reference temperature for setting calibration data, for example, room temperature (20 ° C.), which is obtained in advance by measurement or the like. ) In a calibration curve showing the relationship between the apparent specific magnetic susceptibility χ _eff of the magnetic particle 4 and the bulk density ρM of the magnetic component in the magnetic particle (hereinafter referred to as “first calibration curve”). Information is received from the input device 605, for example. In the present embodiment, the "specific susceptibility apparent (chi _eff)", similarly to Patent Document 1, the magnetic powder or granular material 4 a specific magnetic susceptibility also include air within the holding cylinder 3 is chi _eff It is assumed that the specific magnetic susceptibility is assumed to be a uniform cylindrical material. In the present embodiment, the “bulk density (ρM) of the magnetic component in the magnetic granular material” means the density of the magnetic component including air and other components in the holding cylinder 3 as in Patent Document 1. Is a density when it is regarded as a uniform cylindrical substance of ρM.
Then, when the information of the first calibration curve is input from the input device 605, for example, the computer 6 (CPU 601) stores the information of the first calibration curve in, for example, the external memory 604. Here, it is assumed that information on the first calibration curve stored includes information on the coefficient of the first calibration curve and information on the reference temperature T ₀ .

  Subsequently, in step S105, the computer 6 (CPU 601) causes the temperature correction coefficient (which is a coefficient of a temperature correction function representing the temperature dependence of the apparent specific susceptibility of the magnetic granular material 4 obtained in advance by measurement or the like ( Information of p, q) described later is received from the input device 605, for example. When the temperature correction coefficient information is input from the input device 605, for example, the computer 6 (CPU 601) stores the temperature correction coefficient information in the external memory 604, for example.

Subsequently, in step S106, the computer 6 (CPU 601) determines the spatial average temperature of the magnetic powder particles 4 charged in the holding cylinder 3 as the surface temperature of the magnetic powder particles 4 and the ambient temperature around it. The temperature estimation coefficient α, which is a coefficient of the linear format, is expressed in the linear format. A specific processing procedure of the method for determining the temperature estimation coefficient α will be described later with reference to FIG. In the present embodiment, the computer 6 (CPU 601) performs the process of determining the temperature estimation coefficient α. However, the present invention is not limited to this form. For example, the information of the temperature estimation coefficient α obtained in advance by measurement or the like is received from, for example, the input device 605, and the computer 6 (CPU 601) acquires the information of the temperature estimation coefficient α input from the input device 605. Included in the invention.
Then, the computer 6 (CPU 601) stores the obtained temperature estimation coefficient α information in, for example, the external memory 604.

  Subsequently, in step S <b> 107, the computer 6 (CPU 601) first controls the weighing device 5 to measure the holding cylinder 3 and the total weight W <b> 1 of the magnetic granular material 4 charged in the holding cylinder 3. Next, the computer 6 (CPU 601) controls the LCR meter 2 in this state, and measures the inductance L of the coil 1 in a state where the magnetic granular material 4 is inserted into the holding cylinder 3.

Subsequently, in step S108, the computer 6 (CPU 601) controls the surface thermometer 7 and the atmospheric thermometer 8, and the surface temperature of the magnetic granular material 4 charged in the holding cylinder 3 by each thermometer. T _s and the ambient temperature T _r around the holding cylinder 3 are measured.

  Subsequently, in step S109, the computer 6 (CPU 601) controls the moving device (not shown) to move the holding cylinder 3, and then discharges the magnetic powder particles 4 in the holding cylinder 3.

<Functional configuration related to calculation processing of mass percentage of magnetic component by computer 6>
FIG. 4 is a schematic diagram showing an example of a functional configuration related to the calculation process of the magnetic component mass percentage by the computer 6 shown in FIG.

In FIG. 4, reference numeral 611 denotes a first calibration curve showing the relationship between the apparent specific magnetic susceptibility χ _eff of the magnetic particle 4 at the reference temperature T ₀ and the bulk density ρM of the magnetic component in the magnetic particle. It is a calibration curve storage unit for storing information. Here, it is assumed that the information on the first calibration curve stored in the calibration curve storage unit 611 includes information on the coefficient of the first calibration curve and information on the reference temperature T ₀ . Further, the calibration curve storage unit 611 includes, for example, the external memory 604 illustrated in FIG. 2, and the information on the first calibration curve is obtained by the process of step S <b> 104 in FIG. 3.

  In FIG. 4, 612 represents the spatial average temperature of the magnetic granular material 4 charged in the holding cylinder 3 in a linear form of the surface temperature of the magnetic granular material 4 and the ambient temperature around it. In this case, the temperature estimation coefficient storage unit stores information on the temperature estimation coefficient α which is a coefficient of the line format. Here, the temperature estimation coefficient storage unit 612 includes, for example, the external memory 604 illustrated in FIG. 2, and the information on the temperature estimation coefficient α is obtained by the process of step S <b> 106 in FIG. 3.

  In FIG. 4, reference numeral 613 denotes a surface temperature Ts of the magnetic granular material 4 charged in the holding cylinder 3 measured by the surface thermometer 7 and a periphery of the holding cylinder 3 measured by the ambient thermometer 8. It is an average temperature estimation part which estimates the spatial average temperature T of the magnetic granular material 4 inserted into the holding cylinder 3 based on the atmospheric temperature Tr. Specifically, in the present embodiment, the average temperature estimation unit 613 also performs the process of determining the temperature estimation coefficient α described above, the surface temperature Ts of the magnetic granular material 4 charged in the holding cylinder 3, and the holding Using the ambient temperature Tr around the cylinder 3 and the determined temperature estimation coefficient α, the spatial average temperature T of the magnetic granular material 4 charged in the holding cylinder 3 is estimated. Here, the average temperature estimation part 613 is comprised from the program memorize | stored in CPU601 and the external memory 604 shown in FIG. 2, and communication I / F607, for example.

In FIG. 4, reference numeral 614 denotes a temperature correction that stores information of a temperature correction coefficient (p, q described later) that is a coefficient of a temperature correction function that represents the temperature dependence of the apparent specific magnetic susceptibility χ _eff of the magnetic granular material 4. A coefficient storage unit. Here, the temperature correction coefficient storage unit 614 includes, for example, the external memory 604 illustrated in FIG. 2, and the information on the temperature correction coefficient is obtained by the process of step S <b> 105 in FIG. 3.

In FIG. 4, reference numeral 615 denotes a calibration curve storage based on the average temperature T estimated by the average temperature estimation unit 613 and a temperature correction coefficient (p, q described later) stored in the temperature correction coefficient storage unit 614. It is a calibration curve generation unit that corrects the first calibration curve stored in the unit 611 and generates a second calibration curve. Here, the calibration curve generation unit 615 includes, for example, programs stored in the CPU 601 and the external memory 604 shown in FIG.
FIG. 5 is a diagram illustrating an example of a calibration curve according to the embodiment of the present invention.
The calibration curve generation unit 615, for example, shows the relationship between the apparent specific magnetic susceptibility χ _eff of the magnetic particle 4 at the reference temperature T ₀ and the bulk density ρM of the magnetic component in the magnetic particle shown in FIG. The first calibration curve 510 shown is corrected to produce a second calibration curve 520 at temperature T.

  In FIG. 4, reference numeral 616 denotes an inductance acquisition unit that acquires, from the LCR meter 2, the inductance L of the coil 1 in a state where the magnetic granular material 4 is inserted into the holding cylinder 3. Here, since the inductance acquisition unit 616 is used for adjusting the number of turns of the coil 1 or the like, the inductance acquisition unit 616 may acquire the inductance L1 of the coil 1 in a state where the magnetic granular material 4 is not inserted into the holding cylinder 3. The inductance acquisition unit 616 includes, for example, a program stored in the CPU 601 and the external memory 604 illustrated in FIG. 2 and a communication I / F 607.

In FIG. 4, reference numeral 617 denotes an apparent specific magnetization for calculating the apparent specific magnetic susceptibility χ _eff of the magnetic powder particles 4 inserted in the holding cylinder 3 based on the inductance L acquired by the inductance acquisition unit 616. It is a rate calculation unit. Here, the apparent specific magnetic susceptibility calculation unit 617 includes, for example, programs stored in the CPU 601 and the external memory 604 shown in FIG.

In FIG. 4, reference numeral 618 denotes an apparent specific magnetic susceptibility χ _{eff of} the magnetic granular material 4 calculated by the apparent specific susceptibility calculation unit 617 using the second calibration curve generated by the calibration curve generation unit 615. From this, it is the 1st bulk density calculation part which calculates bulk density (rho) M of the magnetic component in the magnetic granular material 4. Here, the 1st bulk density calculation part 618 is comprised from the program memorize | stored in CPU601 and the external memory 604 shown in FIG. 2, for example.

  In FIG. 4, 619 is a holding cylinder weight acquisition unit that acquires the empty weight W0 of the holding cylinder 3 and the total weight W1 of the holding cylinder 3 in a state where the magnetic powder particles 4 are charged, from the weighing device 5. is there. Here, the holding cylinder weight acquisition unit 619 includes, for example, a program stored in the CPU 601 and the external memory 604 illustrated in FIG. 2 and a communication I / F 607.

  In FIG. 4, reference numeral 620 denotes an empty weight W0 of the holding cylinder 3 and a total weight W1 of the holding cylinder 3 acquired by the holding cylinder weight acquisition unit 619, and an internal volume V of the holding cylinder 3 input from the input device 605. Based on this, the second bulk density calculating unit calculates the bulk density ρ0 of the magnetic powder particles 4 in the holding cylinder 3. Here, in this embodiment, the “bulk density (ρ0) of the magnetic granular material” means that the magnetic granular material 4 including air in the holding cylinder 3 has a density of ρ0, as in Patent Document 1. It is the density when it is regarded as such a cylindrical material. Further, the second bulk density calculation unit 620 includes, for example, programs stored in the CPU 601 and the external memory 604 illustrated in FIG.

  In FIG. 4, reference numeral 621 denotes a bulk density ρM of the magnetic component in the magnetic powder 4 calculated by the first bulk density calculator 618 and a magnetic powder calculated by the second bulk density calculator 620. 4 is a magnetic component mass percent calculation unit that calculates a measurement value of the mass percent of the magnetic component in the magnetic granular material 4 based on the bulk density ρ0 of 4. Here, the magnetic component mass percent calculation unit 621 includes, for example, programs stored in the CPU 601 and the external memory 604 shown in FIG.

As shown in FIG. 12 described above, the apparent specific magnetic susceptibility χ _eff increases as the temperature of the magnetic granular material 4 increases. In this case, using the apparent specific magnetic susceptibility χ _eff that has increased in a high temperature state and a calibration curve (for example, the first calibration curve 510 at the reference temperature T ₀ shown in FIG. 5) created based on the measurement at room temperature. When the mass percentage of the magnetic component in the magnetic granular material 4 is measured, there is a problem that the measured value becomes higher than the actual value. In order to avoid this, in the measuring apparatus 100 according to the present embodiment, the spatial average temperature T of the magnetic granular material 4 charged in the holding cylinder 3 and the apparent specific magnetic susceptibility of the magnetic granular material 4 are obtained. Based on a temperature correction coefficient that is a coefficient of a temperature correction function representing temperature dependence in χ _eff, the first calibration curve at the reference temperature T ₀ is corrected to generate a second calibration curve at the temperature T, The mass percentage of the magnetic component in the magnetic granular material 4 is measured using the second calibration curve.

<Specific Calculation Method of Magnetic Component Mass Percent by Computer 6>
(Quantification of temperature dependence of apparent specific susceptibility χ _eff )
First, a method for measuring the apparent specific magnetic susceptibility χ _eff (T) at a temperature T [° C.] and quantifying the temperature dependence of the apparent specific magnetic susceptibility χ _eff will be described.

In order to quantitatively grasp the change of the apparent specific magnetic susceptibility χ _{eff due to} the temperature, the sample relating to the magnetic granular material 4 placed in the measurement container is placed in a thermostatic bath for about 1 to 2 hours and held at a constant temperature. Immediately after taking out the measurement container from the thermostat, the measurement container was inserted into the coil, and the apparent specific magnetic susceptibility χ _eff was measured. The change of the apparent specific magnetic susceptibility χ _eff with respect to the temperature was expressed by c, d, e. It was found that the coefficient can be approximated in the form of a quadratic expression shown in the following expression (1).

Here, in order to clarify the relationship between the apparent specific magnetic susceptibility χ _eff (T) at the temperature T shown in the equation (1) and the apparent specific susceptibility χ _eff (T ₀ ) at the reference temperature T ₀ , The expression (1) is transformed into the form of a quadratic expression of T−T _{0 as} the following expression (2).

Therefore, the apparent specific magnetic susceptibility χ _eff (T) at the temperature T is a temperature correction function f (T) expressed by a quadratic equation relating to temperature like the following equation (4) and the reference temperature T ₀ . Using the following formulas (5) to (7) representing the apparent specific magnetic susceptibility χ _eff (T ₀ ) and the temperature correction coefficients p and q, the following formula (3) can be used.

(Quantification of temperature dependence of calibration curve)
Based on the temperature dependence of the apparent specific magnetic susceptibility χ _eff (T) at the temperature T quantified above, a second calibration curve at the temperature T is obtained from the first calibration curve at the reference temperature T ₀ , and the calibration curve A method for quantifying the temperature dependence will be described.

The first calibration curve showing the relationship of the apparent specific magnetic susceptibility χ _eff (T ₀ ) to the bulk density ρM of the magnetic component in the magnetic granular material 4 at the reference temperature T ₀ is expressed by the following equation (8). Is expressed by a quadratic expression using coefficients a (T ₀ ) and b (T ₀ ) of the first calibration curve at the reference temperature T ₀ as coefficients.

  When the equation (8) is substituted into the equation (3), the second calibration curve at the temperature T is expressed by the following equation (9) using the conversion equation of the coefficient of the calibration curve shown in the following equation (10). It can be expressed as

Therefore, the second calibration curve at the temperature T can be derived from the first calibration curve at the reference temperature T ₀ by converting the coefficient of the calibration curve shown in the equation (10).
Furthermore, the bulk density ρM of the magnetic component in the magnetic granular material 4 can be calculated from the following formula (11) obtained by solving the formula (9) with respect to ρM.

(Processing procedure for specific calculation method of mass percentage of magnetic component)
FIG. 6 is a flowchart showing an example of the processing procedure of the calculation method of the mass percentage of the magnetic component by the computer 6 shown in FIG.

Before starting the process of FIG. 6, the calibration curve storage unit 611 stores information on the first calibration curve at the reference temperature T ₀ in advance (the process of S104 in FIG. 3 is completed). In addition, the temperature correction coefficient storage unit 614 stores information of a temperature correction coefficient that is a coefficient of a temperature correction function that represents the temperature dependence of the apparent specific magnetic susceptibility of the magnetic granular material 4 (in FIG. 3). In addition, the temperature estimation coefficient storage unit 612 stores the information of the temperature estimation coefficient α (the process of S106 in FIG. 3 is completed), and further the surface temperature. It is assumed that the surface temperature T _{s of} the magnetic granular material 4 charged in the holding cylinder 3 and the ambient temperature T _r around the holding cylinder 3 are measured by the total 7 and the atmospheric thermometer 8 ( Assume that the processing of S107 in FIG. ).
In order to clarify the correspondence with the above-described equation, the coefficients of the first calibration curve included in the information of the first calibration curve are a (T ₀ ) and b (T ₀ ), and the temperature correction coefficient is Let p, q.

  First, in step S <b> 201, the average temperature estimation unit 613 is measured with the surface temperature Ts of the magnetic granular material 4 charged in the holding cylinder 3 and the atmosphere thermometer 8 measured with the surface thermometer 7. The spatial average temperature T of the magnetic granular material 4 charged in the holding cylinder 3 is estimated using the ambient temperature Tr around the holding cylinder 3 and the temperature estimation coefficient α determined in step S106 of FIG. To do.

Subsequently, in step S202, the calibration curve generation unit 615 includes the reference temperature T ₀ and the first calibration curve coefficient a (T ₀₎ included in the information of the first calibration curve stored in the calibration curve storage unit 611. ), B (T ₀ ), the temperature correction coefficients p and q stored in the temperature correction coefficient storage unit 614, and the average temperature T estimated in step S201. Then, the calibration curve generation unit 615 uses the equations (4) and (10) based on the input information, and the coefficients a (T) and b (T) of the second calibration curve at the temperature T. ) Is calculated, and a second calibration curve at the temperature T shown in the equation (9) is generated.

  Further, in step S203, the inductance acquisition unit 616 has measured the inductance L1 of the coil 1 when the holding cylinder 3 is empty and the state in which the magnetic granular material 4 is inserted into the holding cylinder 3 as measured by the LCR meter 2. The inductance L of the coil 1 is acquired. Here, in the present embodiment, the inductance L1 of the coil 1 when the holding cylinder 3 is empty is not particularly used in the processing described later, but is used for adjusting the number of turns of the coil 1 in actual operation.

Subsequently, in step S <b> 204, the apparent specific susceptibility calculation unit 617 is charged into the holding cylinder 3 based on the inductance L of the coil 1 in a state where the magnetic granular material 4 is charged into the holding cylinder 3. The apparent specific magnetic susceptibility χ _eff of the magnetic granular material 4 at the temperature T is calculated. As a specific calculation method in step S204, for example, the method described in Patent Document 1 can be used.

Subsequently, in step S205, the first bulk density calculation unit 618 uses the second calibration curve at the temperature T generated in step S202, and the magnetic granular material 4 at the temperature T calculated in step S204. From the apparent specific magnetic susceptibility χ _eff , the bulk density ρM of the magnetic component in the magnetic granular material 4 is calculated.
Specifically, in step S205, the coefficients a (T) and b (T) of the second calibration curve at the temperature T calculated in step S202, and the magnetic powder 4 at the temperature T calculated in step S204. From the apparent specific magnetic susceptibility χ _eff , the bulk density ρM of the magnetic component in the magnetic granular material 4 is calculated using the equation (11).

  In step S206, the holding cylinder weight acquisition unit 619 determines the empty weight W0 of the holding cylinder 3 and the total weight W1 of the holding cylinder 3 in the state in which the magnetic granular material 4 is charged, which is measured by the weighing device 5. And get.

  Subsequently, in step S207, the second bulk density calculation unit 620 calculates the total weight in the state in which the empty weight W0 of the holding cylinder 3 obtained in step S206 and the magnetic granular material 4 is inserted into the holding cylinder 3. From the weight W1, first, the charged weight W = W1-W0 of the magnetic granular material 4 is calculated. Next, the second bulk density calculation unit 620 calculates the magnetic particles in the holding cylinder 3 from the charged weight W of the magnetic particles 4 and the internal volume V determined from the inner diameter and height of the holding cylinder 3. The bulk density ρ0 = W / V of the body 4 is calculated.

Subsequently, in step S208, the magnetic component mass percent calculation unit 621 calculates the bulk density ρM of the magnetic component in the magnetic particle 4 calculated in step S205 and the volume of the magnetic particle 4 calculated in step S207. From the density ρ0, the mass% (weight%) of the magnetic component is calculated as wt% = ρM / ρ0 × 100.
The mass% of the magnetic component obtained here is, for example, mass% of the magnetite Fe ₃ O _4. FeO in a component containing divalent iron such as magnetite Fe ₃ O ₄ = FeO · Fe ₂ O ₃ is eluted by chemical analysis. Not all FeO elutes from magnetite, but FeO% is correlated with the amount of magnetic components. Assuming that all of FeO is eluted from magnetite, the mass% in terms of magnetite is Fe ₃ O ₄ % = FeO% × 3.22. This “3.22” is a numerical value corresponding to the molecular weight ratio Fe ₃ O ₄ / FeO of the chemical formula Fe ₃ O ₄ and FeO. That is, in this embodiment, in order to obtain FeO% which is a quality index representing the degree of firing of the magnetic granular material (sintered ore), the calculated mass% of the magnetic component may be divided by “3.22”. It will be.

(Method for estimating the average temperature T of the magnetic granular material 4)
Next, a method for estimating the average temperature T of the magnetic granular material 4 in step S201 in FIG. 6 will be described.
Since the magnetic granular material 4 collected in the actual production line does not reach thermal equilibrium immediately after being taken out from the thermostatic bath, the average temperature T of the magnetic granular material 4 cannot be directly measured. For this reason, in the measuring apparatus 100 according to the present embodiment, a surface thermometer 7 for measuring the surface temperature Ts of the magnetic granular material 4 inserted in the holding cylinder 3 and an atmospheric temperature for measuring the atmospheric temperature Tr in the measurement chamber. A total 8 is installed, and a method of estimating the average temperature T of the magnetic granular material 4 from the surface temperature Ts and the ambient temperature Tr measured by each thermometer is adopted.

  Here, in this embodiment, a radiation thermometer is used as the surface thermometer 7. This is because, when a thermocouple is used as the surface thermometer 7, it takes a certain amount of time to measure the temperature, and there is a variation in the surface temperature of the magnetic granular material 4 inserted in the holding cylinder 3. On the other hand, when a radiation thermometer is used as the surface thermometer 7, there is a problem that the measurement can be instantaneously performed, and the surface of the magnetic granular material 4 inserted in the holding cylinder 3 can be measured. This is because there is an advantage that a temperature that is obtained by averaging the temperature of a wide area to some extent can be measured.

  In this embodiment, assuming that the surface temperature of the magnetic granular material 4 charged in the holding cylinder 3 is Ts, the atmospheric temperature is Tr, and the temperature estimation coefficient is α, the average temperature T of the magnetic granular material 4 is expressed by the following ( 12)

Next, a method for determining the temperature estimation coefficient α will be described.
As shown in the equation (12), the temperature estimation coefficient α is obtained by calculating the average temperature T of the magnetic powder particles 4 inserted in the holding cylinder 3 from the surface temperature Ts of the magnetic powder particles 4 and the surrounding ambient temperature Tr. This is the coefficient of the line format.
And in this embodiment, in the average temperature estimation part 613, the temperature estimation coefficient (alpha) is measured in the mass percentage of the magnetic component in the magnetic granular material of the sample which concerns on the magnetic granular material 4 with which the holding | maintenance cylinder 3 was inserted. It is determined based on the value and the analysis value (chemical analysis value) by chemical analysis of the mass percentage of the magnetic component in the magnetic granular material of the sample. More specifically, in the average temperature estimation unit 613, the measurement value in the mass percentage of the magnetic component in the magnetic powder particles of the plurality of samples and the chemical analysis value in the mass percentage of the magnetic component in the magnetic powder particles of the sample. The temperature estimation coefficient α is determined so that the integrated value related to the magnitude of the difference is minimized.

An example of a specific method for determining the temperature estimation coefficient α will be described below.
Samples required to determine the temperature estimation coefficient α are magnetic powder samples collected on the production line, or magnetic materials produced by the same raw materials and production methods as the magnetic powder samples collected on the production line. A granular sample is used.
Regarding the i-th sample among the number N of samples, let x (i) be the chemical analysis value of the mass percentage of the magnetic component in the magnetic granular material, and let y (i) be the measured value. Then, the measurement value y (i) is calculated for each sample i according to the processing procedure of the flowchart of FIG.
FIG. 7 shows an embodiment of the present invention, and is a diagram showing an example of a distribution diagram when the chemical analysis value of the mass percentage of the magnetic component in the magnetic granular material of each sample is matched with the measured value.
In the present embodiment, the temperature estimation coefficient α is set so that the distribution 710 before temperature correction shown in FIG. 7 is distributed in the vicinity of the line y = x (to be the distribution 720 after temperature correction shown in FIG. 7). To decide. For example, the temperature estimation coefficient α is determined by a process as shown in FIG.

  FIG. 8 is a flowchart showing an example of the processing procedure of the method for determining the temperature estimation coefficient α according to the embodiment of the present invention.

  First, in step S301, the average temperature estimation unit 613 sets a temporary value α (j) of the temperature estimation coefficient α. This α (j) starts from the initial value α0 and can be set up to a maximum of M ranges in increments of Δα.

  Subsequently, in step S302, the average temperature estimation unit 613 calculates the average temperature T (i) for the sample i from the surface temperature Ts (i) and the ambient temperature Tr (i) using the equation (12). To do.

Subsequently, in step S303, the average temperature estimation unit 613 calculates the average temperature T (i) calculated in step S302, the apparent specific magnetic susceptibility χ _eff (i), and the bulk density ρ0 of the sample i obtained by the measurement. From (i), the measurement value y (i) of the mass percentage of the magnetic component in the magnetic granular material of the sample i is calculated by the processing of the flowchart of FIG.

  And the process of step S302-S303 is repeated and the measured value y (i) (i = 1, 2, ..., N) for the number N of samples is obtained.

  Subsequently, in step S304, the average temperature estimation unit 613 sets, for example, β = 2 in the following equation (13) from the measured value y (i) calculated in step S303 and the chemical analysis value x (i). The expressed evaluation function value E (j) is calculated.

  Then, the processes in steps S301 to S304 are repeated, and E (j) corresponding to the provisional value α (j) (j = 0, 1,..., M−1) of the maximum M temperature estimation coefficients α is obtained. obtain.

Subsequently, in step S305, the average temperature estimation unit 613 calculates a temporary value α (jmin) of the temperature estimation coefficient α that gives the minimum evaluation function value E (j), and uses this as a final temperature estimation coefficient α. Determine as.
That is, in this embodiment, the difference between the measured value in mass percent of the magnetic component in the magnetic particles of a plurality of samples and the chemical analysis value in mass percent of the magnetic component in the magnetic particles of the sample is large. The temperature estimation coefficient α is determined so that the integrated value (the evaluation function value E (j) in this example) is minimized.
In the embodiment of the present invention, the difference between the evaluation function E (j) and the chemical analysis value in terms of mass percentage of the magnetic component in the magnetic granular material expressed as β = 2 in the equation (13) is shown. Although the integrated value related to the square of the square is used, an integrated value related to the β power of β ≧ 1 may be used.

  Thereafter, the average temperature estimation unit 613 uses the surface temperature Ts and the atmospheric temperature Tr measured in step S107 of FIG. 3 and the temperature estimation coefficient α determined by the processing of the flowchart of FIG. From this, the average temperature T of the magnetic granular material 4 charged in the holding cylinder 3 is estimated.

  In Example 1 in the embodiment of the present invention, a thermostatic bath test for determining the temperature correction coefficients p and q was performed.

  The sample was prepared by putting sintered ore with FeO% = 7.4% and particle size of 15 mm or less into an acrylic cylindrical container with an inner diameter of about 134 mm and a height of about 320 mm. Then, the cylindrical container containing the sample was placed in a thermostatic bath for about 1 to 2 hours to obtain a thermal equilibrium state.

And immediately after taking out the cylindrical container containing a sample from a thermostat, a cylindrical container is inserted in a coil (The outer diameter of a copper wire part is about 150 mm, and length is about 150 mm), The method in this embodiment mentioned above is used. The apparent specific magnetic susceptibility χ _eff (T) at temperature T was evaluated. Specifically, the temperature of the thermostatic bath was set from T = 20 ° C. to 60 ° C. below the heat resistance temperature of the cylindrical container in increments of 10 ° C., and the temperature dependence of the apparent specific magnetic susceptibility χ _eff (T) was measured.

FIG. 9 is a diagram illustrating Example 1 in the embodiment of the present invention and illustrating measurement results of the temperature dependence of the apparent specific magnetic susceptibility χ _eff (T).
The coefficients c, d, and e in the equation (1) obtained by approximating the measurement result shown in FIG. 9 by a quadratic expression are c = 1.420 × 10 ⁻⁶ , as shown in Table 1 below. It was determined that d = 1.737 × 10 ⁻⁴ and e = 2.341 × 10 ⁻¹ .
Further, when the reference temperature is T ₀ = 20 ° C. and the equations (5) to (7) are used from the coefficients c, d, e of the equation (1), the reference temperature T Apparent specific magnetic susceptibility at ₀ is determined as χ _eff (T ₀ ) = 2.379 × 10 ⁻¹ , and temperature correction coefficients are determined as p = 5.968 × 10 ⁻⁶ and q = 9.267 × 10 ^−4. did it.

  In Example 2 in the embodiment of the present invention, in order to determine the temperature estimation coefficient α, a sample was taken on a sintered ore production line and a field test was performed.

As the surface thermometer 7, a 10 μm wavelength radiation thermometer having high sensitivity near normal temperature was used, and the emissivity was set to 0.8. The atmosphere thermometer 8 was a platinum resistance thermometer.
In addition, the temperature correction coefficient uses the values of p and q obtained in Example 1, and the coefficient of the first calibration curve at the reference temperature T ₀ is a (T ₀ ) = obtained in the butt test at room temperature. 2.995 × 10 ⁻⁷ , b (T ₀ ) = 4.695 × 10 ⁻⁴ was used.

  FIG. 10 shows Example 2 in the embodiment of the present invention, and is a diagram showing a result of matching the measured value of FeO% before and after temperature correction with the chemical analysis value of FeO%.

FIG. 10A shows a result of matching the measured value of FeO% before temperature correction calculated using the first calibration curve at the reference temperature T _{0 with} the chemical analysis value of FeO%. From the results shown in FIG. 10A, the measured value of FeO% before temperature correction is a numerical value that is about 0.5% higher than the chemical analysis value of FeO% on average.
Then, the temporary value of the temperature estimation coefficient α is set to 1.0 to 3.0, the step size Δα = 0.1, and the temperature estimation coefficient α is determined according to the processing of the flowchart of FIG. α = 2.0.

  FIG. 10B shows the measured value of FeO% calculated using the second calibration curve obtained by correcting the temperature of the first calibration curve with the temperature estimation coefficient α = 2.0 and the chemistry of FeO%. The result of matching with the analysis value is shown. From the results shown in FIG. 10 (b), the measured value of FeO% after temperature correction was distributed in the vicinity of the y = x straight line, and on average, it was matched with the chemical analysis value of FeO%.

As described above, in the measuring apparatus 100 according to the present embodiment, the surface temperature Ts of the magnetic particle 4 inserted in the holding cylinder 3 and the ambient temperature Tr around the holding cylinder 3 are measured, and this surface temperature is measured. The spatial average temperature T of the magnetic granular material 4 charged in the holding cylinder 3 is estimated based on Ts and the ambient temperature Tr, and the first calibration curve at the reference temperature T ₀ is corrected according to the average temperature T. Then, after generating the second calibration curve at the temperature T, the measured value of the mass percentage of the magnetic component in the magnetic granular material 4 is calculated using the second calibration curve.
According to such a configuration, in the production line of the magnetic granular material, even when the temperature in the magnetic granular material is different from the reference temperature at which the calibration curve was created, the mass percentage of the magnetic component of the magnetic granular material is Measurement can be performed accurately. That is, it is possible to accurately measure the mass percentage of the magnetic component in the magnetic powder particles in each scene in the production line of the magnetic powder particles.

(Other embodiments)
In Example 2 and the like described above, the temperature estimation coefficient α is determined so that the measured value of the mass% (FeO%) of the magnetic component of the sample matches the chemical analysis value. For example, the effective density (bulk density) of the sample ), Specific heat, heat conduction coefficient, heat transfer coefficient, etc., and the relationship between the average temperature of the sample, the surface temperature and the ambient temperature is obtained by heat transfer calculation such as the finite element method, and the temperature estimation coefficient α is obtained. Also good.
Further, the method for analyzing the mass% of the magnetic component is not limited to chemical analysis. For example, magnetic components obtained from other analytical methods such as an X-ray diffraction method, a vibrating sample magnetometer or a magnetic balance for measuring magnetic properties, etc. The temperature estimation coefficient α may be obtained so as to match the analysis value.

The present invention can also be realized by executing the following processing.
That is, software (program) that realizes the functions of the above-described embodiments is supplied to a system or apparatus via a network or various storage media, and a computer (or CPU, MPU, or the like) of the system or apparatus reads the program. It is a process to be executed.
This program and a computer-readable storage medium storing the program are included in the present invention.

  Note that the above-described embodiments of the present invention are merely examples of implementation in practicing the present invention, and the technical scope of the present invention should not be construed as being limited thereto. It is. That is, the present invention can be implemented in various forms without departing from the technical idea or the main features thereof.

611 Calibration curve storage unit, 612 Temperature estimation coefficient storage unit, 613 Average temperature estimation unit, 614 Temperature correction coefficient storage unit, 615 Calibration curve generation unit, 616 Inductance acquisition unit, 617 Apparent specific magnetic susceptibility calculation unit, 618 First Bulk density calculation unit, 619 Holding cylinder weight acquisition unit, 620 Second bulk density calculation unit, 621 Magnetic component mass percent calculation unit

Claims (5)

A measuring device for measuring a mass percentage of a magnetic component in a magnetic granular material charged in a holding cylinder around which a coil is wound,
Calibration curve storage means for storing information of a first calibration curve indicating the relationship between the apparent specific magnetic susceptibility of the magnetic particles at a reference temperature and the bulk density of the magnetic component in the magnetic particles;
Surface temperature measuring means for measuring the surface temperature of the magnetic granular material charged in the holding cylinder;
Atmosphere temperature measuring means for measuring the ambient temperature around the holding cylinder;
Based on the surface temperature and the ambient temperature, an average temperature estimating means for estimating an average temperature of the magnetic powder particles charged in the holding cylinder;
Based on the average temperature and a temperature correction coefficient that is a coefficient of a temperature correction function representing temperature dependence in the apparent specific susceptibility of the magnetic granular material, the first calibration curve is corrected to obtain a second Calibration curve generating means for generating a calibration curve;
Inductance acquisition means for acquiring the inductance of the coil in a state where the magnetic granular material is inserted into the holding cylinder,
An apparent specific magnetic susceptibility calculating means for calculating an apparent specific magnetic susceptibility of the magnetic granular material based on the inductance acquired by the inductance acquiring means;
Using the second calibration curve, the bulk density of the magnetic component in the magnetic granular material is calculated from the apparent specific magnetic susceptibility of the magnetic granular material calculated by the apparent specific magnetic susceptibility calculating means. 1 bulk density calculating means,
Holding cylinder weight acquisition means for acquiring an empty weight of the holding cylinder and a total weight of the holding cylinder in a state where the magnetic powder particles are charged;
Second bulk density calculating means for calculating the bulk density of the magnetic powder particles based on the empty weight of the holding cylinder, the total weight of the holding cylinder, and the internal volume of the holding cylinder;
Based on the bulk density of the magnetic component in the magnetic granular material calculated by the first bulk density calculating means and the bulk density of the magnetic granular material calculated by the second bulk density calculating means, Magnetic component mass percent calculating means for calculating a measurement value of the mass percent of the magnetic component in the magnetic powder ,
I have a,
The calibration curve generating means includes
When the reference temperature is T ₀ , the apparent specific magnetic susceptibility of the magnetic particles is χ _eff , and the bulk density of the magnetic component in the magnetic particles is ρ _M , the first calibration at the reference temperature T ₀ is performed. When the curve is represented by the following formula (A),
When the average temperature is T, the second calibration curve is represented by the following formulas (B) to (E),
The temperature correction coefficients p and q are obtained by measuring the average temperature T and obtaining the temperature correction coefficients in advance .
χ _eff (T ₀ ) = a (T ₀ ) · ρ _M ² + b (T ₀ ) · ρ _M (A)
χ _eff (T) = a (T) · ρ _M ² + b (T) · ρ _M (B)
a (T) = a (T ₀ ) · f (T) (C)
b (T) = b (T ₀ ) · f (T) (D)
f (T) = p · (T−T ₀ ) ² + q · (T−T ₀ ) +1 (E) A measuring device for measuring a mass percentage of a magnetic component in a magnetic granular material charged in a holding cylinder around which a coil is wound,
Calibration curve storage means for storing information of a first calibration curve indicating the relationship between the apparent specific magnetic susceptibility of the magnetic particles at a reference temperature and the bulk density of the magnetic component in the magnetic particles;
Surface temperature measuring means for measuring the surface temperature of the magnetic granular material charged in the holding cylinder;
Atmosphere temperature measuring means for measuring the ambient temperature around the holding cylinder;
Based on the surface temperature and the ambient temperature, an average temperature estimating means for estimating an average temperature of the magnetic powder particles charged in the holding cylinder;
Based on the average temperature and a temperature correction coefficient that is a coefficient of a temperature correction function representing temperature dependence in the apparent specific susceptibility of the magnetic granular material, the first calibration curve is corrected to obtain a second Calibration curve generating means for generating a calibration curve;
Inductance acquisition means for acquiring the inductance of the coil in a state where the magnetic granular material is inserted into the holding cylinder,
An apparent specific magnetic susceptibility calculating means for calculating an apparent specific magnetic susceptibility of the magnetic granular material based on the inductance acquired by the inductance acquiring means;
Using the second calibration curve, the bulk density of the magnetic component in the magnetic granular material is calculated from the apparent specific magnetic susceptibility of the magnetic granular material calculated by the apparent specific magnetic susceptibility calculating means. 1 bulk density calculating means,
Holding cylinder weight acquisition means for acquiring an empty weight of the holding cylinder and a total weight of the holding cylinder in a state where the magnetic powder particles are charged;
Second bulk density calculating means for calculating the bulk density of the magnetic powder particles based on the empty weight of the holding cylinder, the total weight of the holding cylinder, and the internal volume of the holding cylinder;
Based on the bulk density of the magnetic component in the magnetic granular material calculated by the first bulk density calculating means and the bulk density of the magnetic granular material calculated by the second bulk density calculating means, Magnetic component mass percent calculating means for calculating a measurement value of the mass percent of the magnetic component in the magnetic powder,
Have
The average temperature of the magnetic granular material charged in the holding cylinder is a value expressed in a linear form of the surface temperature of the magnetic granular material and the ambient temperature around it,
The average temperature estimation means includes a temperature estimation coefficient that is a coefficient of the linear form, the measured value of the mass percentage of the magnetic component in the magnetic powder of the sample related to the magnetic powder, and the magnetic powder of the sample. The surface temperature measured by the surface temperature measuring means, the ambient temperature measured by the ambient temperature measuring means, and the temperature estimation coefficient are determined in advance based on the mass percent analysis value of the magnetic component in the granule. And measuring the average temperature of the magnetic granular material charged in the holding cylinder. The measurement apparatus according to claim 2 , wherein an analysis value obtained by chemical analysis is used as the analysis value. The average temperature estimating means is configured to calculate a difference between the measured value of the mass percentage of the magnetic component in the magnetic powder particles of the plurality of samples and the analysis value of the mass percentage of the magnetic component in the magnetic powder particles of the sample. as the integrated value of the magnitude is minimized, the measurement apparatus according to claim 2 or 3, characterized in that determining said temperature estimation coefficients. A measuring method by a measuring device for measuring a mass percentage of a magnetic component in a magnetic granular material charged in a holding cylinder around which a coil is wound,
A calibration curve storage that stores information of a first calibration curve indicating the relationship between the apparent specific magnetic susceptibility of the magnetic granular material at a reference temperature and the bulk density of the magnetic component in the magnetic granular material in the calibration curve storage means. Steps,
A surface temperature measuring step for measuring the surface temperature of the magnetic granular material charged in the holding cylinder;
An atmospheric temperature measuring step for measuring an ambient temperature around the holding cylinder;
Based on the surface temperature and the ambient temperature, an average temperature estimation step for estimating an average temperature of the magnetic granular material charged in the holding cylinder;
Based on the average temperature and a temperature correction coefficient that is a coefficient of a temperature correction function representing temperature dependence in the apparent specific susceptibility of the magnetic granular material, the first calibration curve is corrected to obtain a second A calibration curve generating step for generating a calibration curve;
An inductance obtaining step for obtaining the inductance of the coil in a state in which the magnetic granular material is inserted into the holding cylinder;
Based on the inductance acquired in the inductance acquisition step, an apparent specific magnetic susceptibility calculation step of calculating an apparent specific magnetic susceptibility of the magnetic granular material,
The second calibration curve is used to calculate the bulk density of the magnetic component in the magnetic granular material from the apparent specific magnetic susceptibility of the magnetic granular material calculated in the apparent specific magnetic susceptibility calculating step. 1 bulk density calculation step;
A holding cylinder weight obtaining step for obtaining an empty weight of the holding cylinder and a total weight of the holding cylinder in a state where the magnetic powder particles are charged;
A second bulk density calculating step for calculating the bulk density of the magnetic powder particles based on the empty weight of the holding cylinder, the total weight of the holding cylinder, and the internal volume of the holding cylinder;
Based on the bulk density of the magnetic component in the magnetic granular material calculated in the first bulk density calculating step and the bulk density of the magnetic granular material calculated in the second bulk density calculating step, A magnetic component mass percent calculating step for calculating a measured value of the mass percent of the magnetic component in the magnetic powder ,
I have a,
The calibration curve generating step includes:
When the reference temperature is T ₀ , the apparent specific magnetic susceptibility of the magnetic particles is χ _eff , and the bulk density of the magnetic component in the magnetic particles is ρ _M , the first calibration at the reference temperature T ₀ is performed. When the curve is represented by the following formula (A),
When the average temperature is T, the second calibration curve is represented by the following formulas (B) to (E),
The temperature correction coefficients p and q are obtained by measuring the average temperature T and obtaining the temperature correction coefficients in advance .
χ _eff (T ₀ ) = a (T ₀ ) · ρ _M ² + b (T ₀ ) · ρ _M (A)
χ _eff (T) = a (T) · ρ _M ² + b (T) · ρ _M (B)
a (T) = a (T ₀ ) · f (T) (C)
b (T) = b (T ₀ ) · f (T) (D)
f (T) = p · (T−T ₀ ) ² + q · (T−T ₀ ) +1 (E)

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