JP2011112485A - Device and method for evaluating abrasion life of dynamo - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To accurately evaluate the abrasion life of a dynamo on the basis of an actual use state. <P>SOLUTION: An abrasion life evaluation device is equipped with a first memory part for storing a plurality of first abrasion data showing a change in the abrasion quantity of a base material with the elapse of time and a second memory part for storing second abrasion data showing the actually measured abrasion quantity of a predetermined base material to be evaluated and the correspondence data showing the corresponding relation of operation time, the abrasion speed of the base material, and a static strength parameter. The abrasion life of the predetermined base material is evaluated on the basis of the second abrasion data and the first abrasion data or the correspondence data. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a power generation equipment wear life evaluation apparatus and a wear life evaluation method for evaluating the wear life of power generation equipment of a gas turbine for thermal power generation, for example.

In a gas turbine for thermal power generation, vibration is generated at various locations (power generation equipment of the gas turbine) with rotation of the rotor during operation, passage of high-temperature gas or cooling air flowing at high speed, and the like. Due to this vibration, the power generating device and the mating material come into contact with each other and wear damage occurs.
Therefore, the sealing material is alumina-coated, and the other material is Stellite No. A gas turbine combustor using a cobalt-chromium alloy containing about 1.0% by weight of carbon such as 6 has been proposed (see, for example, Patent Document 1).

JP 2003-193866 A

  However, the above-described prior art shows a gas turbine power generation device that reduces wear, and describes the life expectancy and evaluation until the power generation device reaches the use limit against wear caused by actual use. Not.

  The present invention has been made to solve such a problem, and provides a wear life evaluation apparatus and a wear life evaluation method for a power generation device capable of accurately evaluating the wear life of the power generation device based on an actual use state. The purpose is to do.

  In order to solve the above-mentioned problems, the wear life evaluation apparatus for power generation equipment according to the present invention is a plurality of devices that represent changes over time in the amount of wear corresponding to a combination of a base material, a counterpart material, a contact form, and a contact surface pressure of a gas turbine equipment. A first storage unit for storing the first wear data; second wear data representing the amount of wear of the predetermined base material to be evaluated of the gas turbine power generator measured in contact with the counterpart material; A second storage unit that stores time, correspondence data representing a correspondence relationship between the wear rate of the base material and a static strength parameter, and the predetermined base material, counterpart material, and contact of the selected gas turbine device An input unit for inputting a form and a contact surface pressure, a search unit for searching for the first wear data according to the combination from the plurality of stored wear data, and the first wear according to the combination Data is retrieved If the second wear data representing the stored wear amount of the predetermined base material is extracted, and the first wear data corresponding to the combination is not retrieved, the stored wear amount of the predetermined base material is determined. An extraction unit that extracts second wear data to be represented and the corresponding data; the extracted second wear data; and the searched first wear data or the extracted corresponding data. And an evaluation unit that evaluates the wear life of the input predetermined base material.

  Further, in the method for evaluating the wear life of the power generation device according to the present invention, the input unit includes a predetermined base material to be evaluated of the selected gas turbine device, a counterpart material in contact with the predetermined base material, and the predetermined base material and the counterpart material. A step of inputting the contact form and the contact surface pressure, and a plurality of first steps in which the search unit represents a change in wear amount over time according to a combination of the base material and the counterpart material, the contact form and the contact surface pressure stored in the storage unit. A step of retrieving first wear data corresponding to a combination of the input predetermined base material, the counterpart material, the contact form and the contact surface pressure from the wear data of the first input; When the first wear data is retrieved, second wear data representing the amount of wear on the predetermined base material of the gas turbine power generation device that is actually measured and stored in the storage unit is extracted, and according to the combination First wear de The second wear data stored in the storage unit and the corresponding data representing the static strength parameter for the wear rate of the predetermined base material, and the evaluation unit And evaluating the inputted wear life of the predetermined base material based on the extracted second wear data or the corresponding second wear data or corresponding data.

  According to the present invention, it is possible to accurately evaluate the wear life of the power generation equipment based on the actual use situation.

It is a block diagram which shows schematic structure of the wear life evaluation apparatus of one Embodiment of this invention. It is a side view which shows the abrasion area | region of the base material measured. It is a figure which shows the correspondence of the contact surface pressure of a base material when an other party material contacts, and a wear rate. It is a figure which shows an example of a static intensity | strength parameter. It is a figure which shows an example of the correspondence of an initial wear rate and a static strength parameter. It is a figure which shows an example of the correspondence of a steady wear rate and a static strength parameter. As an example of a contact form, it is a figure which shows the magnitude | size of the amplitude in the contact surface of a base material and a counterpart material, (a) is a contact in a different area, when (a) contacts a base material and a counterpart material in the same area. Is the case. It is an example of the friction data memorize | stored in material DB, and is a figure which shows the correspondence of wear amount and sliding distance. It is a figure which shows an example which correct | amends the initial predicted wear amount by changing the boundary point of an initial wear state and a steady wear state. It is a figure which shows an example of the correction | amendment at the time of changing a contact surface pressure. It is a figure which shows an example of the correction | amendment at the time of changing the frequency in a contact surface. It is a flowchart for demonstrating the wear life evaluation operation | movement of a wear life evaluation apparatus. It is a figure which shows an example of the correspondence of the abrasion weight which concerns on Embodiment 2, and an abrasion powder total amount. It is an example of the wear data which concerns on Embodiment 3, and is a figure which shows the correspondence of wear amount and sliding distance. It is a figure which shows an example of the correspondence of the wear coefficient which concerns on Embodiment 4, and a sliding distance. It is a flowchart of the modification 1 for classifying an actual wear damage into a specific wear damage form. It is a figure which shows an example of the correspondence of the wear rate which concerns on the modification 2, and a static strength parameter.

(Embodiment 1)
Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing a schematic configuration of a wear life evaluation apparatus 10 according to an embodiment of the present invention.

  As shown in FIG. 1, this wear life evaluation apparatus 10 includes a history information database (hereinafter referred to as “history information DB”) 11, a material database (hereinafter referred to as “material DB”) 12, a data input unit 13, wear data. A search unit 14, a history information extraction unit 15, a wear data creation unit 16, a wear amount prediction unit 17, a condition determination unit 18, and a replacement time determination unit 19 are provided. The wear life evaluation apparatus 10 of this embodiment evaluates the wear damage life of the base material used for the gas turbine equipment to be evaluated based on the data stored in the history information DB 11 and the material DB 12.

  In addition, as a base material for evaluation, for example, there is a site where vibration is generated due to inflow of steam such as a transition piece of a combustor, a valve rod of a steam valve, a blade implantation part of a long blade, etc. A case of a transition piece of a combustor will be described as a representative.

  The history information DB 11 stores equipment data such as a base material used in a gas turbine equipment (transition piece) to be evaluated and a material of a mating material in contact with the base material, a use temperature, and a sliding speed. Further, the history information DB 11 stores operation history data such as an operation time from the start of the gas turbine device to the current time. Further, the history information DB 11 stores current wear damage data (second wear data) representing the measured wear amount of the base material of the gas turbine power generator. That is, the wear damage data includes time when actually measured (corresponding to the operation time at the time of actual measurement) data and actual value (wear amount) data.

The history information DB 11 stores static strength correspondence data representing static strength parameters with respect to the wear rate of the substrate to be evaluated. In the history information DB, for example, a static strength parameter of a material (base material) that is not stored in the material DB can be stored.
Furthermore, this history information DB 11 also stores the correspondence between the base material and the static strength parameter. As a result, it is possible to evaluate the service life of a combination of materials that are not currently used in gas turbine equipment. The history information DB 11 also stores information on the boundary point (sliding distance) between the initial wear state and the steady wear state of material wear data, which will be described later, in correspondence with the limit wear amount of the material and the combination of materials. Yes.

  Note that the equipment data includes, for example, data on wear conditions such as the shape of the part and contact pressure (contact surface pressure). Further, depending on the part such as the valve stem, the operation history data may include usage condition data such as the number of start and stop times of the gas turbine equipment.

  The material of the base material and the counterpart material is made of, for example, an alloy such as Hastelloy (registered trademark) X, IN750, or Stellite (registered trademark). The operating temperature is the temperature at each site in the usage environment of the gas turbine. The sliding speed is the reciprocating speed when the base material and the mating material are reciprocally oscillated, and the rotational speed is the rotational speed when the base material is rotating.

FIG. 2 is a side view showing a wear region of the actually measured base material A (base material to be evaluated).
As shown in FIG. 2, the wear damage data is, for example, a thinning amount (wear amount) of a wear region of the base material A. Since the amount of wear is generally difficult to disassemble the turbine equipment, the wear area is calculated from the average wear depth by measuring the shape of the surface with a surface roughness meter or the like.
As the wear damage data, for example, the amount of wear powder, the property data of the worn substrate surface, the chemical component analysis data of the worn substrate surface, and the like can be used instead of the above thinning amount.

Next, the correspondence data of the static strength of the base material A will be described. This static strength correspondence data is data representing the correspondence between the wear rate of the substrate A and the static strength parameters.
FIG. 3 is a diagram illustrating an example of a correspondence relationship between the contact surface pressure of the base material and the wear rate when the mating material is contacted. FIG. 3 shows a case where the base material and the counterpart material are in a one-to-one relationship, and black circles and white circles in the figure indicate a plurality of base materials having the same material but different material components.
As shown in FIG. 3, the wear rate does not necessarily match the contact surface pressure between the speed in the initial wear state (initial wear rate) and the speed in the subsequent steady wear state (steady wear rate). It can be seen that the wear rate tends to increase with increasing contact surface pressure.

FIG. 4 is a diagram illustrating an example of a static strength parameter.
As shown in FIG. 4, as the static strength parameter, for example, the deformation work of the material (base material) can be used. This static strength parameter (deformation work amount) is an amount expressed by the product of the yield strength of the material, the average value of the tensile strength, and the elongation at break (maximum strain) of the base material. Corresponds to the area shown and corresponds to the energy absorbed by the material in the event of a tensile break. When the material is subject to wear damage, the locally contacted part is deformed by tension with the mating material, and when it breaks, it is thought that wear powder is generated and wear loss occurs. This is a parameter for determining the ease of wear. In addition, as a static strength parameter, it is also possible to use general material strength characteristic values, such as tensile strength and hardness of a base material, for example.

  FIG. 5 is a diagram illustrating an example of a correspondence relationship between the initial wear rate and the static strength parameter. FIG. 6 is a diagram illustrating an example of a correspondence relationship between the steady wear rate and the static strength parameter. In FIGS. 5 and 6, two types of mating materials having different materials, such as Hastelloy (registered trademark) X and IN750 mating materials, are used for a plurality of base materials having the same material but different material components. The characteristics are shown. Since IN750 has a lower wear strength than Hastelloy X, it has been shown that the wear rate of the base material is smaller than that of Hastelloy X. Further, black circles and white circles in the figure indicate that there are two types of base material.

  Here, when the wear rate of the base material to be evaluated is the same as that of the white circle shown in FIGS. 5 and 6 and the material has a different static strength parameter, the wear rate and the static rate are detected. It can be obtained as shown by a dotted line from the correspondence relationship with the target strength parameter.

The material DB 12 shown in FIG. 1 includes a plurality of wear data (first wear data) representing a change in wear amount over time according to a combination of a base material, a counterpart material, a contact form, a contact surface pressure, and a frequency at the contact surface. Remember.
FIG. 7 is a diagram showing the amplitude of the contact surface between the base material A and the counterpart material B as an example of the contact form. FIG. 7A shows a case where the base material and the counterpart material are in contact with each other in the same area. ) Is the case of contact in different areas.
As shown in FIG. 7, (a) is a case in which wear damage progresses when the contacting base material A and the counterpart material B are in contact with each other in substantially the same area and vibrate with a small amplitude with a constant surface pressure. In this case, both wear conditions are exactly the same.

Further, (b) is a case where one member, for example, the base material A is larger than the counterpart material B and is worn due to vibration with a large amplitude. In this case, the contact area does not change, and the contact surface of the counterpart material B having the smaller area is always constant, but the contact area of the base material A having the larger area is constantly changing. In this case, the counterpart material B is worn and damaged at a certain portion, and the temperature rise due to friction is increased, so that the friction damage is further increased. If the wear in such a contact state is evaluated by applying the data of the same wear condition as in (a), the evaluation becomes erroneous.
For this reason, when applying the wear data of material DB12, it is necessary to consider the contact state with the counterpart material B. In the present embodiment, the material DB 12 includes a plurality of base materials A, a mating material B, a plurality of amplitude changes in the contact surface between the base material A and the mating material B, and a change over time according to a combination of vibration cycles. Wear data (first wear data) is stored.

FIG. 8 is an example of friction data stored in the material DB 12, and is a diagram illustrating a correspondence relationship between the wear amount and the sliding distance.
As shown in FIG. 8, the friction data (first friction data) is data representing a change in wear amount of the substrate over time according to a combination of the substrate, the counterpart material, the contact form, the contact surface pressure, and the frequency. And an initial wear state representing an initial stage of wear and a steady wear state indicating a subsequent steady stage of wear. Further, in FIG. 8, the dotted line indicates the boundary point (vibration distance) of the base material stored in the history information DB 11. This boundary point indicates a boundary where the wear changes from the initial wear state to the steady wear state. This boundary point is determined by the combination of the base material and the counterpart material, and is not affected by the contact surface pressure. The alternate long and short dash line is a limit wear amount indicating the limit of wear.

  When the contact surface between the initial base material A and the mating material B is subjected to wear damage, the surface roughness is rapidly increased, and the friction amount is rapidly increased accordingly. Next, on the contact surface in the stationary phase, the surface roughness is maintained almost constant, the wear with the mating material proceeds, and the generated wear powder is also fused or discharged to the base material by heat. Will also be a certain percentage.

  For this reason, the wear rate in the wear region is substantially constant, and the wear rate is generally lower in the steady wear state than in the initial wear state. That is, in the initial wear state, the wear amount increases rapidly as the sliding distance becomes longer, but in the steady wear state after a predetermined boundary point, even if the sliding distance becomes longer, the change in the wear amount is small. Increase at a constant rate. When the wear amount reaches the limit wear amount, it becomes a use limit in which the base material is broken.

  Note that the friction data in the present embodiment represents the change over time in the amount of friction for each contact surface pressure between the base material and the counterpart material, for example, 2 [MPa], 4 [MPa], and 6 [MPa]. Yes. That is, when the contact surface pressure decreases, both the initial wear amount and the steady wear amount decrease, and when the contact surface pressure increases, both the initial wear amount and the steady wear amount increase.

The amount of wear varies depending on the sliding speed, but the relationship between the amount of wear and the sliding distance shown in this embodiment is more general than the relationship between the amount of wear and the wear time. In other words, the relationship between the amount of wear and the sliding distance is shown by unifying the vibration frequency, amplitude, and test time. Even if the actual wear state of the gas turbine equipment is different from the amplitude and time, the sliding distance is the same. By converting, the test data can be applied as it is.
By the way, this sliding distance is
(Sliding distance) = (Frequency) × (Amplitude) × (Operating time) (1)
It is represented by Here, (frequency) = (sliding cycle on the contact surface) / (time), and (amplitude) = (distance) / (sliding cycle on the contact surface).

  As shown in FIG. 1, the data input part 13 consists of a keyboard, a mouse | mouth, etc., for example, The base material of the evaluation object of the apparatus (transition piece) selected by the user, a counterpart material, a contact form, a contact surface pressure, and a frequency are shown. Functions as an input unit for inputting.

  The wear data search unit 14 wears the base material according to the combination of the base material, the counterpart material, the contact form, the contact surface pressure, and the frequency input by the data input unit 13 from the plurality of wear data stored in the material DB 12. It functions as a search unit that searches for data.

  The history information extraction unit 15 is the device data of the transition piece according to the combination of the base material, the counterpart material, the contact form, the contact surface pressure, and the frequency input by the data input unit 13 from the information stored in the history information DB 11. Operation history data and substrate wear damage data are extracted.

  In addition, when the wear data corresponding to the combination is not searched by the wear data search unit 14, the history information extraction unit 15 extracts a static strength parameter corresponding to the input base material from the history information DB 11. It functions as an extraction unit that extracts the wear rate of the corresponding base material from the extracted static strength parameter and the corresponding data of FIGS. 5 and 6 stored in the history information DB 11. The history information extraction unit 15 also extracts boundary point information corresponding to the combination of the limit wear amount of the base material and the material.

The wear data creation unit 16 functions as a creation unit that creates the first wear data based on the extracted wear rate and the stored operation time.
That is, the wear data creation unit 16 creates the wear data (see FIG. 8) of the base material when the wear data search unit 14 does not search for wear data corresponding to the combination. Here, the wear rate of the base material extracted by the history information extraction unit 15 is an inclination in the correspondence relationship between the operation time and the friction amount in the initial wear state and the steady wear state. Further, the sliding distance is (sliding distance) = (frequency) × (amplitude) × (operation time) as shown in the above-described formula (1). In this case, the frequency and amplitude are known values input from the data input unit 13 (see FIG. 1). The contact surface pressure is also a known value input from the data input unit.

  Accordingly, the operation time can be converted into the sliding distance, and the wear data creation unit 16 can extract the wear speed, the sliding distance, the boundary point, and the limit wear amount in the initial wear state and the steady wear state of the extracted base material. Thus, wear data (see FIG. 8) at the input contact surface pressure can be created.

  As shown in FIG. 1, when there is wear data searched by the wear data search unit 14, the wear amount prediction unit 17 extracts the wear data shown in FIG. 8 and the history information extraction unit 15. The life of the base material is evaluated based on the wear damage data, and when there is no wear data searched by the wear data search unit 14, the base material based on the wear data similar to that shown in FIG. Perform lifespan evaluation.

  That is, the wear amount predicting unit 17 corresponds to the wear damage data extracted by the history information extracting unit 15 and the wear data searched by the wear data searching unit 14 or the static strength correspondence data extracted by the history information extracting unit 15. Based on the above, it functions as an evaluation unit that evaluates the wear life of the substrate input from the data input unit 13.

  By the way, in this embodiment, before performing the wear life evaluation of the base material described above, the wear data searched by the wear data search unit 14 (see FIG. 8), the data created by the wear data creation unit 16, and the history Comparison with the wear damage data extracted by the information extraction unit 15 is performed. In this embodiment, the condition determination unit 18 shown in FIG. 1 compares the wear amount of wear data with the same sliding distance or the same operation time, for example, with the wear amount of actually measured wear damage data. The condition determination unit 18 functions as a determination unit that determines whether or not the wear amount of the wear damage data matches the wear amount of the wear data.

  If the wear amount in the wear data and the wear amount in the wear damage data do not match, the condition judging unit 18 determines whether the wear condition such as the amplitude, contact surface pressure, boundary point, or the use condition such as the frequency is used. The conditions are reviewed one by one, and the wear amount predicting unit 17 is made to predict the wear amount under the reviewed conditions. Then, the condition determination unit 18 repeats the review of the above conditions until a match between the wear amount of the wear data and the wear amount of the wear damage data is obtained.

Next, wear amount prediction based on extracted or created wear data, that is, review of the above-described conditions will be described.
FIG. 9 is a diagram illustrating an example of correcting the first predicted wear amount (hereinafter referred to as “first predicted wear amount”) by changing the boundary point between the initial wear state and the steady wear state. In this example, the measured wear amount (hereinafter referred to as “measured wear amount”) exists in the steady wear state, and the wear amount in the steady wear state is predicted.

As described above, the boundary point is uniquely set by a combination of materials, but it may be changed due to the influence of the usage environment of the device.
Therefore, the predicted amount of wear is corrected by changing the set boundary point.

  As shown in FIG. 9, when the measured wear amount is smaller than the initial predicted wear amount (previous predicted wear amount from the second correction), the boundary point is changed to a shorter sliding distance side at an early stage. Even when switching to the steady wear state, it is possible to obtain a predicted wear amount that matches the measured wear amount. Also, if the measured wear amount is larger than the initial predicted wear amount, the boundary point is changed to the longer sliding distance side, so that even if the steady wear state becomes longer and the steady wear state becomes longer, A predicted wear amount that matches the wear amount can be obtained.

  FIG. 10 is a diagram illustrating an example of correction when the contact surface pressure is changed. In this example, the measured wear amount exists in both the initial wear state and the steady wear state, and the wear amount in the initial wear state and the steady wear state is predicted.

  As shown in FIG. 10, when the measured wear amount is larger than the initial predicted wear amount in the initial wear state, the correction can be made by changing the contact surface pressure. In this example, the wear amount was predicted at a contact surface pressure of 2 [MPa] for the first time. However, when the measured wear amount is larger than the predicted wear amount in the initial wear state, the contact surface pressure is higher than the set value. it is conceivable that.

  Therefore, for example, by predicting the wear amount by changing the contact surface pressure to 4 [MPa] higher than the initial value, a predicted wear amount that matches the measured wear amount existing in the initial wear state and the steady wear state is obtained. Can do. Further, when these measured wear amounts are smaller than the predicted wear amount in the initial wear state, for example, by predicting the wear amount by changing the contact surface pressure to 1 [MPa] smaller than the initial value, these measured wear amounts are calculated. It is possible to obtain a predicted wear amount that matches the amount.

FIG. 11 is a diagram illustrating an example of correction when the frequency on the contact surface is changed. In this example, the measured wear amount exists in both the initial wear state and the steady wear state, and the wear amount in the initial wear state and the steady wear state is predicted. Also in this case, it is assumed that the set vibration frequency changes due to the influence of the usage environment of the device.
As shown in FIG. 11, even when the contact surface pressure is confirmed to be the same as the design value, the frequency of the gas turbine device may change depending on the installation state of the device.

For this reason, for example, the wear amount is predicted on the assumption that the vibration is initially generated at a frequency of 2 [Hz], but the initial predicted wear amount may not match the actually measured wear amount.
Therefore, when the frequency of the actual device is 4 [Hz], the sliding distance is doubled in the same operation time, so the wear rate is doubled including the initial wear state and the steady wear state. Become. As a result, it is possible to obtain a predicted wear amount that matches the measured wear amount existing in the initial wear state and the steady wear state by changing the frequency higher. In addition, when the actual wear amount is smaller than the initial expected wear amount, the sliding distance is halved in the same operation time when the frequency of the actual device is set to 1 [Hz]. Becomes 1/2. As a result, by changing the frequency to a low value, it is possible to obtain a predicted wear amount that matches the measured wear amount existing in the initial wear state and the steady wear state.

As described above, the method for correcting the predicted value of the wear amount is not uniform, and it is necessary to perform correction in consideration of which parameter is different between the operation state of the gas turbine equipment and the design value.
In the present embodiment, when the predicted wear amount matches the measured wear amount, the wear life of the base material is evaluated based on the extracted or created wear data. It can be evaluated accurately based on this.

  In the present embodiment, when the predicted wear amount matches the measured wear amount, the wear life evaluation condition in that case is applied to future wear amount prediction to predict the wear amount in the scheduled operation time. At the same time, the obtained evaluation result is registered in the material DB 12 (see FIG. 1), and the wear data is updated by the obtained evaluation result to expand the material DB 12.

  As shown in FIG. 1, the replacement time determination unit 19 determines the part replacement time based on the predicted wear amount and the set limit wear amount (see FIG. 8). The replacement time determination unit 19 functions as a determination unit that determines the replacement time of the base material based on the wear life of the base material evaluated by the wear amount prediction unit 17.

Next, the wear life evaluation operation by the wear life evaluation apparatus 10 will be described.
FIG. 12 is a flowchart for explaining the wear life evaluation operation of the wear life evaluation apparatus 10.

  As shown in FIG. 12, first, the data input unit 13 inputs a base material, a counterpart material, a contact form, a contact surface pressure, and a frequency of a device selected by the user (step S101). The wear data search unit 14 extracts device data and operation history data of the device corresponding to the input base material, mating material, contact form, contact surface pressure, and frequency combination from the history information DB 11 (step S102). . Further, the wear data search unit 14 extracts wear damage data that is actual measurement data of the selected base material (step S103).

  Next, the wear data search unit 14 searches the material DB 12 for wear data of the base material corresponding to the input base material, mating material, contact mode, contact surface pressure, and frequency combination (step S104). It is determined whether wear data corresponding to the combination has been retrieved (step S105).

  Here, when the wear data corresponding to the combination is retrieved, the wear amount prediction unit 17 uses the wear data (predicted wear amount) and the wear damage data (measured wear amount) extracted by the history information extraction unit 15. The amount of wear is predicted by (step S106). At this time, the wear amount prediction is performed, for example, in two wear states. First, the amount of wear in the initial wear state of wear is predicted, and then the amount of wear in the steady wear state is predicted.

Then, the condition determination unit 18 compares the actual wear amount as the actual measurement data with the predicted wear amount predicted for the wear amount (step S107), and determines whether the actual wear amount and the predicted wear amount match (step S107). Step S108).
Here, when the measured wear amount and the predicted wear amount coincide with each other, the replacement time determination unit 19 estimates the wear amount in the scheduled operation time based on the wear data and evaluates the life of the base material (step S109). . Next, the replacement time determination unit 19 determines the replacement time of the base material of the device based on the evaluated base material life (step S110), and ends the wear life evaluation operation.

  If the measured wear amount and the predicted wear amount do not match in step S108, the process returns to step S101, the condition determination unit 18 determines one of the above-described conditions to be reviewed, and inputs the determined condition. The above conditions are judged and reviewed one by one until the actually measured wear amount matches the predicted wear amount.

  In step S105, when the wear data corresponding to the combination is not searched, the history information extraction unit 15 extracts the static strength parameter corresponding to the input base material from the history information DB 11, and the extracted static data. 5 and FIG. 6 stored in the history information DB 11, the corresponding wear rate of the base material is extracted, and the wear data creation unit 16 stores the extracted wear rate and the stored wear rate. Wear data is created based on the operated time (step S111).

  Next, the wear amount prediction unit 17 performs wear amount prediction based on the created wear data (step S112). The wear amount prediction here is a wear amount prediction based on the predicted wear amount and the actually measured wear amount as in step S106. Then, the condition determination unit 18 compares the measured wear amount with the predicted wear amount in step S107, and if they match, the replacement time determination unit 19 determines the lifetime of the base material and the replacement time (step) S109, S110). If they do not match, until the condition is met, the condition determination unit 18 performs input based on one of the above-mentioned conditions to be reviewed, and the condition is set to 1 until the measured wear amount and the predicted wear amount match. Review one by one.

  As described above, in the wear life evaluation apparatus according to the present embodiment, when the wear data corresponding to the input combination of parameters is searched, the wear amount prediction unit determines the base material based on the wear data. Evaluate the wear life, and if this wear data is not retrieved, create wear data based on the static strength parameters of the substrate, and based on the created wear data, wear life of the substrate To evaluate. As a result, it is possible to accurately evaluate the wear life of the power generation device based on the actual use situation.

  In addition, the wear life evaluation apparatus according to the present embodiment evaluates the entire life from the initial wear state to the steady wear state based on the actual measured value of the wear of the actual gas turbine equipment. In addition, it is possible to accurately predict future changes in the amount of wear.

  In addition, the wear life evaluation apparatus of the present embodiment can also be used for combinations of materials not stored in the material DB, and for combinations of materials that are not used as gas turbine equipment, using the static strength parameters of the materials. Life evaluation during use is possible. For this reason, the wear life evaluation apparatus of this embodiment can improve versatility and the safe operation of an apparatus.

(Embodiment 2)
In this embodiment, the case where the thinning amount of the base material is measured as the wear damage data has been described. However, the present invention is not limited to this, and the wear powder weight may be measured and the wear powder weight may be used as the wear damage data. Is possible.

FIG. 13 is a diagram illustrating an example of the relationship between the wear weight and the total amount of wear powder according to the second embodiment.
In the present embodiment, the predicted wear amount is evaluated using the wear weight of FIG. This wear powder is a material discharged outside the contact area due to wear damage. When the wear powder can be completely recovered, the wear weight (wear amount) of the substrate can be estimated by measuring the weight of the wear powder (total amount of wear powder).

  By the way, when the amount of wear powder is small, the estimation error of the wear amount becomes large. However, in a relatively large wear damage, the total amount of wear powder and the wear weight lost due to the wear damage correspond relatively well. Therefore, as shown in FIG. 13, the transition of wear damage can be estimated by periodically measuring the total amount of wear powder.

The wear powder generated by wear damage may remain on the contact surface and fuse to the mating material, but this fusion and dropout occur at a constant rate in the steady wear state, so the weight of the wear powder is Nearly equal to the weight of material worn from the contact surface due to wear. That is,
(Abrasion weight) = (Total amount of wear powder)
It becomes. A wear amount that is a depth reduced by wear can be obtained from the wear powder total amount and the area of the wear-damaged portion.

In addition, since wear powder is also generated by wear of the mating material, the obtained wear amount includes the wear weight of the mating material, but if only one material has wear, the wear weight is the base material. This is an estimated value of the amount of wear.
As described above, in the present embodiment, when the wear powder can be completely recovered, it is possible to easily measure the transition of the wear amount and estimate the subsequent wear damage by the wear amount prediction unit.

(Embodiment 3)
In the present embodiment, a plurality of wear damage data that are sequentially measured are stored in the history information DB 11 shown in FIG. Then, when evaluating the wear life of the base material, if there is no corresponding wear data, the history information extraction unit 15 extracts the plurality of stored wear damage data, and the wear data creation unit 16 extracts the wear data. Wear data is created based on the worn damage data. The wear amount prediction unit 17 evaluates the wear life of the inputted base material to be evaluated based on the created wear data.

FIG. 14 is an example of wear data according to the third embodiment, and shows a correspondence relationship between the wear amount and the sliding distance.
In this embodiment, the transition of the wear amount of the base material is estimated from the wear amount of the base material that is sequentially measured (hereinafter referred to as “sequentially measured wear amount”). When the surface shape is directly measured as in the first embodiment, the measured wear amount is an integrated amount. However, as in the second embodiment, when the wear amount is indirectly determined by the total amount of wear powder, The amount of wear is the amount of change from the previous measurement result. For this reason, the estimation of the total amount of wear can be obtained by integrating the total amount of wear powder that is sequentially measured.

Note that it is necessary to measure the wear amount periodically or sequentially with respect to the operating time of the gas turbine equipment or the sliding distance of the base material in order to grasp the wear life of the base material.
As described above, in the present embodiment, it is possible to estimate a total wear amount of the base material by storing a plurality of sequentially measured wear amounts and accumulating the sequentially measured wear amounts when evaluating the wear life of the base material. The wear data creation unit can create wear data by obtaining the cumulative wear amount shown in FIG. 14 from the total wear amount. This estimation of the amount of wear can be applied to various devices.

(Embodiment 4)
FIG. 15 is a diagram illustrating an example of a correspondence relationship between the wear coefficient and the sliding distance according to the fourth embodiment.
In the present embodiment, for example, by measuring a friction coefficient indicating a change in driving force of the base material due to inflow of combustion gas, that is, a change in friction force in the wear region, the wear amount prediction unit 17 (see FIG. 1) The wear life of the substrate is grasped.

  As shown in FIG. 15, in the initial wear state, the smooth flat surface becomes a shape with large irregularities due to wear, so the friction coefficient increases rapidly, and the driving force also increases accordingly. Further, in a steady state, since the surface irregularities are in a constant form, the friction coefficient is reduced to a substantially constant value, and the driving force is similarly reduced to be substantially constant. For this reason, in this embodiment, by measuring the friction coefficient, that is, the driving force of the device, it is possible to estimate the change in the wear form occurring on the base material and to grasp the wear life of the base material by the wear prediction unit. .

  As described above, in this embodiment, by measuring the driving force of the base material of the gas turbine equipment, the change in the wear form is estimated from the change in the friction coefficient, and the wear prediction unit evaluates the wear life. Proper wear life can be achieved.

(Modification 1)
In the first embodiment, the case of the thinning amount of the base material has been described as the wear damage data. However, actual wear damage forms include wear due to wear of the counterpart material, wear due to mutual wear, wear due to fusion of the counterpart material, and the like.
FIG. 16 is a flowchart for classifying actual wear damage into specific wear damage forms. In the present modification, for example, the image analysis device photographs the wear surface and analyzes the image data.

  As shown in FIG. 16, first, in this modification, in order to clarify the surface shape and clarify how wear damage occurs, the worn surface is washed (step S201), and then the surface is observed with a microscope. Then, the image data of the enlarged wear surface is captured (step S202).

Next, the image analysis apparatus measures the amount of wear from the acquired image data (step S203), and then analyzes the presence or absence of material fusion (step S204). Here, for example, the presence or absence of material fusion is determined based on the brightness of the image.
Here, if there is no material fusion as a result of the analysis, it is determined whether or not the measured wear amount is a positive value (step S205). Here, it is determined whether the amount of wear is positive, for example, by shading.

  As a result, if the wear amount is not a positive value, there is no wear of the base material of the own and no fusion has occurred, so it is determined that the wear is due to wear of only the counterpart material (step S206). If the wear amount is a positive value, it is determined that the wear is due to mutual wear (step S207).

  If there is material fusion in step S204, elemental analysis of the worn surface is performed (step S208). As a result of this elemental analysis (step S209), if the element of the counterpart material is detected and the wear amount is a negative value, that is, an increase in material is detected, it is determined that the counterpart material is in a worn form. (Step S210). In this wear mode, the wear of the mating material proceeds as a result, so that the wear of the base material to be evaluated hardly occurs.

  As a result of elemental analysis, if the element of the counterpart material is not detected, if the amount of wear is a positive value, it can be determined that the fused material includes its own base material, so wear due to mutual wear (Step S207).

  As described above, in this modification, the wear damage data of the base material can be measured and the wear damage shapes can be classified, so that the wear damage shapes are clarified and the comparison with the material DB is facilitated. As a result, it is possible to contribute to accurate wear life evaluation by the wear life evaluation apparatus. Further, if the wear damage mode according to this modification is also applied to the counterpart material, the wear damage mode becomes clearer.

(Modification 2)
FIG. 17 is a diagram illustrating an example of a correspondence relationship between the wear rate and the static strength parameter according to the second modification.
As shown in FIG. 17, in this modification, the wear life evaluation according to the present invention is applied at the design stage. As a result, it is possible to obtain an optimum combination of materials that brings the wear damage within the design limit value.

  In other words, when a mating material is determined for a given design limit wear rate, it is required by obtaining a static parameter (deformation work amount) of the evaluation material to be evaluated corresponding to the mating material. Material strength properties can be obtained and materials within that range can be selected.

On the other hand, when the evaluation material is determined, it is possible to select a material that satisfies the design conditions by selecting a counterpart material that is within the design limit wear rate.
As described above, in this modification, the optimum combination of materials can be selected by applying the characteristics indicating the correspondence relationship between the wear rate and the static strength parameter at the equipment design stage. Can be accurately evaluated.

  In addition, this invention is not limited only to the said embodiment, You may deform | transform a component in the range which does not deviate from the summary in an implementation stage. In addition, various inventions can be configured by appropriately combining a plurality of components disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, constituent elements over different embodiments may be appropriately combined.

  DESCRIPTION OF SYMBOLS 10 ... Wear life evaluation apparatus, 11 ... History information DB, 12 ... Material DB, 13 ... Data input part, 14 ... Wear data search part, 15 ... History information extraction part, 16 ... Wear data creation part, 17 ... Wear amount prediction Part 18 ... condition judgment part 19 ... exchange time determination part A ... base material B ... partner material.

Claims (10)

A first storage unit that stores a plurality of first wear data representing a change in wear amount over time according to a combination of a base material of a gas turbine device, a counterpart material, a contact form, and a contact surface pressure;
Correspondence between the second wear data representing the amount of wear of the predetermined base material to be evaluated of the gas turbine power generator, measured in contact with the counterpart material, the operating time, the wear speed of the base material, and the static strength parameter A second storage unit for storing correspondence data representing a relationship;
An input unit for inputting the predetermined base material, the counterpart material, the contact form and the contact surface pressure of the selected gas turbine equipment;
A search unit for searching for the first wear data according to the combination from the plurality of stored wear data;
When the first wear data corresponding to the combination is retrieved, second wear data representing the stored wear amount of the predetermined base material is extracted, and the first wear data corresponding to the combination is extracted. If not retrieved, an extraction unit for extracting the second wear data representing the stored wear amount of the predetermined base material and the corresponding data;
An evaluation unit that evaluates the wear life of the input predetermined base material based on the extracted second wear data and the searched first wear data or the extracted corresponding data;
A wear life evaluation apparatus for power generation equipment, comprising: The static strength parameter represents the work of deformation, which is the product of tensile strength, yield strength average value, elongation at break of the predetermined substrate,
The second storage unit stores a correspondence relationship between the base material and the static strength parameter,
The extraction unit extracts a static strength parameter corresponding to the input predetermined base material from the second storage unit, and from the extracted static strength parameter and the corresponding data, the corresponding predetermined base material Extract the wear rate,
The apparatus further includes a creation unit that creates the first wear data based on the extracted wear rate and the stored operation time,
The evaluation unit evaluates a wear life of the input predetermined base material based on the extracted second wear data and the created first data. The wear life evaluation apparatus of the described power generation equipment. The first wear data represents a correspondence relationship between the sliding distance of the base material and the wear amount, and includes an initial wear state and a regular wear state,
3. The apparatus according to claim 1, wherein the retrieval unit retrieves the first wear data including the initial wear state and the regular wear state. 4. The input contact form represents the amplitude of the contact surface of the predetermined base material and the counterpart material,
The input unit further inputs a frequency at the contact surface,
The creation unit calculates a sliding distance of the base material based on the input frequency, the amplitude, and the stored operation time, and correspondence between the calculated sliding distance and the wear amount of the predetermined base material The wear life evaluation apparatus for a power generator according to claim 2 or 3, wherein the first wear data representing a relationship and comprising an initial wear state and a steady wear state is created. A judgment unit for judging whether or not the wear amount of the second wear data matches the wear amount of the first wear data; and the evaluation unit includes a wear amount of the second wear data and When the wear amount of the first wear data matches, the wear life of the inputted predetermined base material is evaluated, the wear amount of the second wear data, and the wear amount of the first wear data. The wear life evaluation apparatus for a power generator according to any one of claims 1 to 4, wherein the search of the search unit is performed again if and does not match. The determination unit according to any one of claims 1 to 5, further comprising a determination unit that determines a replacement time of the base material based on a wear life of the predetermined base material evaluated by the evaluation unit. Wear life evaluation equipment for power generation equipment. The second wear data was obtained based on the measured weight of wear powder generated by wear damage between the predetermined base material and the counterpart material and the area of the wear area of the predetermined base material. Consisting of the depth of wear damage,
The apparatus according to claim 1, wherein the search unit extracts the obtained second wear data. The second storage unit stores a plurality of the second wear data measured sequentially,
The extraction unit extracts the plurality of stored second wear data,
3. The apparatus according to claim 2, wherein the creation unit creates the first wear data based on the plurality of extracted second wear data. 4. The evaluation unit estimates a change in a wear state from a correspondence relationship between a coefficient indicating a change in frictional force generated in the predetermined base material and the sliding distance, and evaluates a wear life of the predetermined base material. The wear life evaluation apparatus for a power generator according to claim 1. A step of inputting a predetermined base material to be evaluated of the selected gas turbine device, a counterpart material that comes into contact with the predetermined base material, a contact form and a contact surface pressure between the predetermined base material and the counterpart material;
The search unit is configured to input the predetermined basis from a plurality of first wear data representing a change in wear amount over time according to a combination of the base material, the counterpart material, the contact form, and the contact surface pressure stored in the storage unit. Retrieving first wear data according to the combination of the material, the mating material, the contact form and the contact surface pressure;
When the extraction unit retrieves the first wear data corresponding to the combination, a second value representing the amount of wear on the predetermined base material of the gas turbine power generation device measured and stored in the storage unit is obtained. If wear data is extracted and if the first wear data corresponding to the combination is not retrieved, the second wear data stored in the storage unit and the correspondence representing the static strength parameter for the wear rate of the predetermined substrate Extracting the data;
An evaluation unit evaluates the wear life of the input predetermined base material based on the retrieved first wear data and the extracted second wear data or corresponding data;
A method for evaluating the wear life of power generation equipment, comprising:

Images