JP2006010661A - Method for identifying belt-reinforcing fabric - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method capable of identifying a reinforcing fabric with which the surface of a driving belt or a carrier belt is coated easily, and at a low cost. <P>SOLUTION: The method for identifying the belt-reinforcing fabric identifies the reinforcing fabric with which the driving surface of the driving belt, a carrying surface of the carrier belt or another surface is coated. A light wavelength of λ is brought to impinge on the surface of the reinforcing fabric 12 at an incident angle of θ1. The surface region of the reinforcing fabric 12, on which the light wave λ impinges, is imaged. Then, the degree of contrasting densities in a photographed image is measured, thereby identifying two or more kinds of reinforcing fabric 12 having different states of surface irregularities. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a method for identifying a reinforcing cloth covering a power transmission surface or a conveyance surface of a transmission or conveyance belt, or other surfaces.

  In recent years, the use environment of transmission or conveyance belts has become severe, and further durability is required for these belts. Taking an example of a toothed belt that drives a camshaft of an automobile engine or an injection pump or the like, the load on the belt increases with an increase in the output of the engine, and the use environment becomes extremely severe. In addition, toothed belts used for general industries are also required to extend the replacement period for high load driving such as injection molding machines.

  Here, the configuration of the toothed belt and the transmission belt as an example of the transmission or conveyance belt will be briefly described with reference to FIGS. 7 and 8, respectively. FIG. 7 is an overall perspective schematic view of a general toothed belt, and FIG. 8 is a partial front view of the transmission belt.

  In FIG. 7, the toothed belt 20 includes a plurality of tooth portions 23 arranged at predetermined intervals along the longitudinal direction, a back portion 22 continuous with the tooth portions 23, a core wire 21 embedded in the back portion 22, and a tooth portion. 23. A tooth cloth 24 coated on the surface of 23. The back portion 22 and the tooth portion 23 constitute a belt body formed of a rubber layer 27. Further, the tooth cloth 24 is constituted by using a fiber material formed by weaving a weft thread 25 extending in the longitudinal direction of the belt and a warp thread 26 extending in the width direction of the belt as a base material. As the fiber material, aramid fiber and nylon fiber are generally used.

  In FIG. 8, in the transmission belt 28, a core wire 30 made of a cord such as polyester fiber, aramid fiber, or glass fiber is embedded in an adhesive rubber layer 29, and a reinforcing cloth 31 is provided above and below the adhesive rubber layer 29, respectively. And a stretched rubber layer 33 in which a rubber layer 32 is laminated, and a compressed rubber layer 34 in which a reinforcing cloth 31 and a rubber layer 32 are similarly laminated. The compression rubber layer 34 is formed of two rubber layers 35a and 35b, and is provided with a lower cog portion 38 in which cog valleys 36 and cog mountain portions 37 are alternately arranged at a constant pitch along the longitudinal direction of the belt. It has been.

  As described above, since further improvement in durability of the transmission or conveyance belt and extension of the replacement cycle are required, the friction coefficient of the reinforcing cloth covering these power transmission surface, conveyance surface, and other surfaces is required. Transmission or conveyance belts having improved durability by lowering the height have been developed. For example, in a toothed belt, a toothed belt has been developed which has improved resistance to chipping by lowering the friction coefficient of the tooth cloth 24 coated on the surface of the tooth portion 23 (see, for example, Patent Document 1). . A tooth cloth 24 (hereinafter referred to as “low friction treated tooth cloth”) coated on the surface of the toothed portion 23 of the toothed belt with improved tooth chipping resistance is made of an antifriction material having a small particle diameter on glue rubber. By containing, the friction coefficient is made smaller than that of a conventional tooth cloth (hereinafter referred to as “normally treated tooth cloth”). As described above, two types of reinforcing fabrics having different friction coefficients are properly used in accordance with the application in consideration of the environment in which they are used. In addition, there is a possibility that the types of reinforcing cloths will increase further in the future.

JP 2003-156101 A

  However, when there are a plurality of types of reinforcing cloths having different uses as described above, a reinforcing cloth different from the reinforcing cloth that should be originally coated on the surface of the belt may be erroneously used in the belt production process. Therefore, in order to prevent such misuse, it is necessary to identify which reinforcing cloth is to be covered before covering the surface of the belt with the reinforcing cloth. The reinforcement cloth may be identified by measuring the slip ratio of the flat belt after covering the flat cloth with the reinforcement cloth. However, creating a flat belt, covering the flat belt with a reinforcing cloth, and a device for measuring the slip ratio are required, which takes a lot of time, man-hours, and costs.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a method for easily and inexpensively identifying a reinforcing cloth coated on the surface of a transmission or conveyance belt.

Means and effects for solving the problems

  In the present invention, the following features are provided alone or in combination as appropriate. A method for identifying a reinforcing cloth according to the present invention for solving the above-described problems is a method for identifying a reinforcing cloth for identifying a reinforcing cloth covering a power transmission surface or a conveying surface of a transmission or conveying belt or other surfaces. Then, a light wave is incident on the surface of the reinforcing cloth at a predetermined incident angle, the surface area of the reinforcing cloth on which the light wave is incident is imaged, and the unevenness of the surface is measured by measuring the intensity of the captured image. Two or more types of reinforcing fabrics having different states are distinguished.

  According to this method, if the unevenness state of the surface of the reinforcing cloth covered on the power transmission surface or the conveyance surface of the transmission or conveyance belt or the other surface is different, the reflection mode of the irradiated light wave is different. Therefore, two or more types of reinforcing fabrics with different surface irregularities are identified before they are coated on these belt surfaces by imaging the area irradiated with light waves and measuring the intensity of the captured image. Is possible. In addition, the detection of the uneven state on the surface of the reinforcing cloth is a very simple method of detecting the amount of reflection of the light irradiated on the surface of the reinforcing cloth, so it is easier and less expensive than making a flat belt and measuring the slip ratio. be able to.

  In particular, when a light wave is incident on the surface of the reinforcing cloth at an incident angle of θ1, and the area of the surface of the reinforcing cloth on which the light wave is incident is imaged from a direction different from the reflection angle θ1, unevenness on the surface of the reinforcing cloth is remarkable. If there is, the shade becomes small, and if the surface of the reinforcing cloth is relatively smooth, the shade becomes large. Therefore, two or more types of reinforcing fabrics having different surface irregularities can be easily identified.

  In addition, “measuring the intensity of the captured image” means, for example, converting a captured analog image signal into a white and black digital image signal using a binarization level, It can be measured by counting the number of pixels displayed as “black”.

  In the reinforcing cloth identifying method of the present invention, the two or more kinds of reinforcing cloths are reinforcing cloths having different antifriction material contents, and the reinforcing cloths to which light waves are incident at the predetermined incident angle are: It is preferable that the pressure is vulcanized and pressurized within the range of 1 to 2.5 MPa.

  According to this method, when the reinforcing cloth containing the antifriction material is vulcanized and pressurized within the range of 0.1 to 2.5 MPa, a part of the antifriction material is exposed from the surface of the reinforcing cloth. The uneven state on the surface of two or more kinds of reinforcing cloths having different contents is significantly different. Therefore, by containing the anti-friction material by vulcanizing and pressurizing the reinforcing cloth within the range of 0.1 to 2.5 MPa, and making the light wave incident on the surface of the vulcanized and pressed reinforcing cloth at a predetermined incident angle. It becomes possible to easily identify two or more types of reinforcing fabrics having different amounts.

  In the reinforcing cloth identifying method of the present invention, the surface area of the reinforcing cloth on which the predetermined incident angle is within a range of 15 to 60 ° and the light wave is incident is picked up from a direction facing the surface of the reinforcing cloth. It is preferable to do.

  According to this method, since the light wave incident on the reinforcing cloth with many irregularities on the surface is irregularly reflected, the intensity of the captured image is reduced. Moreover, the light wave incident on the reinforcing cloth with less surface irregularities is easily reflected at the reflection angle θ1. Therefore, it is possible to easily identify reinforcing fabrics having different surface irregularities.

  In the method for identifying a reinforcing cloth according to the present invention, the identifying method is a method for identifying two types of reinforcing cloth having different surface irregularities, and the intensity of the captured image and a predetermined predetermined intensity It is preferable to identify which one of the two types of reinforcing cloths by comparing the degree.

  According to this method, it is possible to easily identify which of the two types of reinforcing cloth is the reinforcing cloth whose density is measured.

  In the reinforcing cloth identifying method of the present invention, the two kinds of reinforcing cloths have different surface irregularities depending on the presence or absence of the anti-friction material on the surface of the reinforcing cloth. Further, it is preferable that the antifriction material is graphite.

  According to this method, the graphite on the surface of the reinforcing cloth reduces the coefficient of friction on the surface of the reinforcing cloth and exhibits the effect of irregularly reflecting the light wave incident on the surface of the reinforcing cloth.

  The reinforcing cloth identifying method of the present invention is a reinforcing cloth identifying method for identifying a reinforcing cloth covering a power transmission surface or a conveying surface of a power transmission or conveying belt, and other surfaces. The light wave that has been vulcanized and pressurized within a range of 1 to 2.5 MPa, a light wave is incident at an incident angle θ1 on the surface of the reinforced pressured reinforcing cloth, and is reflected from the surface of the reinforcing cloth at a predetermined angle θ2. The two or more types of reinforcing cloths having different surface irregularities are identified by measuring the reflection intensity of the light and comparing the intensity of the light wave incident on the surface of the reinforcing cloth at the incident angle θ1 with the reflection intensity. It is characterized by doing.

  According to this method, when the reinforcing cloth is vulcanized and pressurized, the uneven state of the surface varies depending on the content of the antifriction material. If the uneven state of the surface is different, the reflection mode of the light wave incident at the incident angle θ1 on the surface of the reinforcing cloth is different. More specifically, the incident light wave is easily reflected at the reflection angle θ1 if the surface is relatively smooth, and the incident light wave is irregularly reflected if the surface has many irregularities. Therefore, by comparing the intensity of the light wave incident at the incident angle θ1 with respect to the surface of the reinforcing cloth and the reflection intensity of the light wave reflected at the predetermined angle θ2 from the surface of the reinforcing cloth, It becomes possible to distinguish the reinforcing fabric having a relatively smooth surface.

  In the identification method of the present invention, the transmission or conveyance belt is a toothed belt having a tooth portion along a longitudinal direction, and the reinforcing cloth is covered with a tooth portion of the toothed belt. It is preferable that

  According to this method, in the method for identifying the tooth cloth covered on the tooth portion of the toothed belt, the low friction treated tooth cloth and the normal treated tooth cloth can be easily and inexpensively identified.

  Hereinafter, an example of a preferred embodiment of a method for identifying a reinforcing cloth covering a power transmission surface or a conveyance surface of a transmission or conveyance belt according to the present invention or other surfaces will be described. In this embodiment, as a specific example of the reinforcing cloth that covers the power transmission surface or the conveyance surface of the transmission or conveyance belt, or other surfaces, the tooth portion of the toothed belt having a tooth portion along the longitudinal direction is used. A method for identifying a tooth cloth to be coated will be described as an example.

  First, a detection device capable of detecting the surface state of a toothed belt tooth cloth will be described with reference to FIG. FIG. 1 is a schematic configuration diagram of such a detection apparatus. In FIG. 1, the detection device 1 according to the present embodiment includes a mounting table 2, a lighting fixture 3, a camera 4, and an image processing device 5.

  On the mounting table 2, the tooth cloth sample 12 is placed such that the weft direction of the tooth cloth is a predetermined direction. The sample 12 may be fixed to the mounting table 2.

  The luminaire 3 includes two LEDs 3a and 3b that emit visible light, and the LEDs 3a and 3a for the area to be measured on the surface of the sample 12 mounted on the mounting table 2 (hereinafter referred to as "imaging area"). It arrange | positions so that the incident angle (theta) of the light wave (lambda) of the visible ray from 3b may exist in the range of 15-60 degrees. Moreover, in this embodiment, although installed so that distance L1 of LED3a * 3b and the sample 12 about an illumination direction may be set to 100 mm, it is not restricted to this.

  The camera 4 is arranged so as to be able to image the imaging area of the sample 12 mounted on the mounting table 2. More specifically, the imaging region where the light wave λ from the LEDs 3a and 3b is incident can be imaged, and is arranged facing the imaging region. Here, the camera 4 is installed such that the distance L2 from the imaging region of the sample 12 to the camera 4 is 110 mm, but is not limited thereto.

  The image processing device 5 is a device that processes a captured image of the imaging region of the sample 12 captured by the camera 4. Here, the configuration of the image processing apparatus 5 will be described with reference to FIG. FIG. 2 is a schematic diagram of a block diagram of the image processing apparatus 5.

  As illustrated in FIG. 2, the image processing apparatus 5 includes an A / D converter 6, a control unit 7, and a display 11. The A / D converter 6 is electrically connected to the camera 4 and the control unit 7, converts an analog image signal of a captured image output from the camera 4 into a digital image signal, and then outputs the digital image signal to the control unit 7. The control unit 7 includes a CPU (Central Processing Unit) 8, a ROM (Read Only Memory) 9, and a RAM (Random Access Memory) 10. The CPU 8 calculates various data based on the image data of the analog signal output from the A / D converter 6, the program in the ROM 9, and the like. The ROM 9 is a read-only storage device, and stores various programs used for processing by the CPU 8. The RAM 10 is a readable / writable volatile storage device, and stores image data of analog signals output from the A / D converter 6, various calculation results in the CPU 8, and the like. The display 11 is electrically connected to the control unit 7 and displays the image data of the imaging region converted into a digital image signal by the A / D converter 6 and the gradation based on the image data.

  Next, processing in the image processing apparatus 5 will be described with reference to FIGS. 2 and 3. FIG. 3 is a diagram illustrating an example of an analog image signal and a digital image signal obtained by converting the analog image signal. An image of the imaging region of the sample 12 captured by the camera 4 is represented as a grayscale analog image signal illustrated in FIG. This analog image signal is output from the camera 4 to the A / D converter 6. The A / D converter 6 converts the analog image signal output from the camera 4 into a white and black digital signal as illustrated in FIG. 3 using the binarization level. Here, “binarization” refers to a method of converting an analog signal output from the camera 4 into a white and black digital signal using a binarization level. In the image processing apparatus 5 in the present embodiment, two binarization levels, an upper limit and a lower limit, are used. That is, an area brighter than the upper limit and an area darker than the lower limit are black, and an intermediate color between the upper limit and the lower limit is white.

  Data converted from an analog image signal to a digital image signal by the A / D converter 6 is output to the control unit 7. This digital image signal is stored in the RAM 10 of the control unit 7. The CPU 8 of the control unit 7 calculates the gray level of the image data converted into the digital image signal stored in the RAM 10 based on a program in the ROM 9 by calculation. This calculation is performed by counting the number of pixels that are “black”. That is, the greater the number of pixels set to “black”, the greater the gray level. The density of the digital image data calculated in this way is stored in the RAM 10. The gradation (number of pixels) of the digital image signal and image data stored in the RAM 10 is output to the display 11. In other words, the display 11 displays a digital image of the imaging area captured by the camera 4 and a gray level based on the image data. In the present embodiment, a high-speed color sensor (CV-700 manufactured by Keyence Corporation) is used as the image processing apparatus 5, but a monochrome sensor (CV-100 manufactured by Keyence Corporation) may be used.

  Next, a method for identifying whether it is a normal processing tooth cloth or a low friction processing will be described.

(Pretreatment process)
First, press vulcanization is performed from the front and back surfaces of the target sample 12. The vulcanization conditions are carried out at a temperature of 150 to 180 ° C., a time of 5 to 60 minutes, and a pressure of 0.1 to 2.5 MPa. When the press vulcanization of the sample 12 is performed in this way, a part of the minute antifriction material contained in the glue rubber of the low friction treated tooth cloth is exposed from the surface of the sample 12. That is, a large number of fine irregularities due to fine particles of the antifriction material are formed on the surface of the low friction processing tooth cloth in which the antifriction material is contained in the glue rubber. Therefore, the unevenness state of the surface after press vulcanization differs between the normal treatment tooth cloth and the low friction treatment tooth cloth. This is because normally treated tooth cloth generally does not contain an antifriction material in glue rubber. However, an extremely small amount of an antifriction material may be contained in the glue rubber as compared with the low friction treated tooth cloth. In general, graphite is used as the antifriction material. Moreover, in order to make the uneven state of the surface of the sample 12 remarkable, it is preferable to press vulcanize the sample 12 at a pressure of 0.5 MPa or more.

  Next, the press vulcanized sample 12 is washed. For the cleaning treatment, a chemical agent such as toluene or IPA (isopropyl alcohol) is used. The sample 12 that has been subjected to press vulcanization and cleaning treatment is placed on the mounting table 2 of the detection apparatus 1 and the illumination fixture 3 is adjusted so that the irradiation angle θ of the LEDs 3a and 3b with respect to the sample 12 is 15 to 60 °. Make adjustments. The sample 12 subjected to press vulcanization is preferably left for 24 hours or more under conditions of an air temperature of 25 ± 5 ° C. and a humidity of 40 to 50%.

(Tooth cloth identification process)
The tooth cloth is identified by placing the tooth cloth sample 12 press-vulcanized in the pretreatment process on the placing table 2. The tooth cloth identification process is further subdivided into a light wave irradiation process, an imaging process, and a density measurement process.

  The light wave irradiation step is a step of irradiating the imaging region on the surface of the sample 12 mounted on the mounting table 2 with the light wave λ (see FIG. 1) emitted from the LEDs 3a and 3b. As described in the pre-processing step, the angles of the LEDs 3a and 3b are adjusted so that the incident angle θ1 with respect to the imaging region of the sample 12 is within a range of 15 to 60 °.

  The imaging step is a step in which the camera 4 images an imaging region (that is, a region where the light wave λ is incident on the surface of the sample 12). Here, when the sample 12 of the tooth cloth subjected to press vulcanization is a low friction processed tooth cloth, as described above, a large number of fine irregularities made of graphite are formed on the surface of the sample 12. Accordingly, the light wave λ incident on the sample 12 from the LEDs 3a and 3b at the incident angle θ1 is irregularly reflected. That is, when the imaging region is imaged by the camera 4, many diffusely reflected light waves λ are incident on the camera 4. On the other hand, when the sample 12 is a normal processing tooth cloth or a low friction processing tooth cloth that has not been subjected to press vulcanization, since the surface of the sample 12 is smooth, it is incident on the surface of the sample 12. Most of the light wave λ is reflected at the reflection angle θ1.

  In the intensity measurement step, the image of the imaging area of the sample 12 imaged by the camera 4 is converted from an analog image signal to a digital image signal by the A / D converter 6, and the intensity of the digital image is calculated by calculation. It is a process. As described above, the unevenness state of the surface is different between the normal-treated toothbrush after press vulcanization and the low-friction-treated toothcloth due to the presence or absence of the antifriction material. Therefore, when the sample 12 is a normal processing tooth cloth, most of the light wave λ incident on the surface of the sample 12 at the incident angle θ1 is reflected at the reflection angle θ1. On the other hand, when the sample 12 is a low-friction treated tooth cloth, the light wave λ incident on the surface of the sample 12 at an incident angle θ1 is irregularly reflected. Therefore, if the sample 12 imaged by the camera 4 is a normal processing tooth cloth, the intensity of the reflected light wave from the sample 12 incident on the camera 4 is small, so that the gray level is increased. On the other hand, if the sample 12 captured by the camera 4 is a low-friction treated tooth cloth, the intensity of the reflected light wave from the sample 12 incident on the camera 4 is greater than that of the normal friction-treated tooth cloth, resulting in a lower intensity.

  The sample 12 whose density is measured is identified as a normal process tooth cloth or a low friction process tooth cloth by comparing the measurement result of the sample 12 with a predetermined threshold value. That is, it can be identified as a low-friction processed tooth cloth when the density measurement result is larger than a predetermined threshold value, and as a normal processed tooth cloth when smaller than the threshold value. A preferred threshold will be described later.

  In addition, for the measurement of the lightness of the surface of the sample 12, it is preferable to measure the lightness at a plurality of locations by appropriately changing the imaging region from the viewpoint of increasing the reliability. Furthermore, it is preferable to determine whether the sample 12 is a normal treatment tooth cloth or a low friction treatment tooth cloth by calculating an average value of the measurement results of the lightness at a plurality of places measured in this way. In this case, it is preferable that the CPU 8 of the image processing apparatus 5 calculates the average value of the lightness measurement results measured at a plurality of locations by the calculation, and displays the average value on the display 11. However, it is not always necessary to display such an average value on the display 11, and the mode is not limited as long as the measurer can know the data.

Experimental example

  Next, based on the detection device 1 and the detection method described above, the surfaces of the aramid fiber normal processing tooth cloth and the low friction processing tooth cloth, and the nylon fiber normal processing tooth cloth and the low friction processing tooth cloth are implemented. An experiment was performed in which the image was captured by the camera 4 in the form and the intensity of the captured image was measured. The experimental results will be described below with reference to FIGS. Note that the low friction treated tooth cloth used in this experiment contains graphite having a particle diameter of 8 ± 3 μm as an antifriction material.

(Experiment 1)
FIG. 4 shows the lightness (number of pixels of “black”) for the normal treatment tooth fabric and the low friction treatment tooth fabric of aramid fibers obtained from the experimental results. Sample preparation was carried out for each of the normal and low-friction treated tooth fabrics of aramid fibers. It was carried out by obtaining a tooth cloth from three lots A to C. That is, three samples of normal processing tooth cloth with different lots (one for each of Lot. A to C) and three samples of low friction processing tooth fabrics with different lots (one for each of Lot. A to C). A total of 6 samples were prepared.

  The vulcanization conditions were vulcanization temperature T = 153 ° C., vulcanization time t = 30 minutes, and press pressure P = 1.5 MPa. Then, the press vulcanized sample was allowed to stand for 24 hours or more under conditions of an air temperature of 25 ± 5 ° C. and a humidity of 40-50%.

  Each of the six samples obtained under the above conditions was placed on the mounting table 2 of the detection apparatus 1, irradiated with a light wave λ on the imaging region, and imaged with the camera 4 disposed facing the imaging region. Here, two LED3a * 3b was used as the lighting fixture 3, and the high-speed color sensor (Keyence Corporation CV-700) was used as the camera 4 and the image processing apparatus 5. FIG. Therefore, an analog image captured by the camera 4 is displayed as a digital image on the display 11, and the gray level of the digital image is displayed on the display 11. The two LEDs 3a and 3b were installed such that the irradiation angle θ with respect to the imaging region of the sample was 45 °. Further, data acquisition was performed for five imaging regions arbitrarily selected for each sample, and the average values of the five locations are shown in FIG.

  As shown in FIG. 4, the density of the normal processing toothbrush is determined by Lot. A is 36,420 pixels, Lot. B is 31,023 pixels, Lot. C was 23,320 pixels. On the other hand, the pixel of the low friction processing tooth cloth is the Lot. A is 396 pixels, Lot. B is 3660 pixels, Lot. C was 1,100 pixels. This is probably because the light particles λ incident on the imaging region are diffusely reflected by the exposure of the graphite particles on the surface of the vulcanized low friction treated tooth cloth, and the lightness is lowered.

  Thus, in each lot, since the shade of the normal processing tooth cloth and the shading of the low friction treatment tooth cloth show greatly different values, it can be easily identified which tooth cloth. In addition, about the tooth cloth of an aramid fiber, a threshold value can be arbitrarily determined in the range of 5,000 to 20,000 pixels. However, in order to more reliably identify which tooth cloth, it is preferable to set a value around 15,000 pixels as a threshold value.

(Experiment 2)
FIG. 5 shows the lightness (number of pixels of “black”) when the vulcanization conditions for the normal treatment tooth fabric and the low friction treatment tooth fabric of aramid fibers obtained from the experimental results are changed. In addition, about each of the aramid fiber normal processing tooth cloth and the low friction processing tooth cloth, three tooth cloths were obtained from one lot, and samples were prepared by changing vulcanization conditions. That is, a total of six samples were prepared, including three samples of normal processing tooth cloth having different vulcanization conditions and three samples of low friction processing tooth cloth having different vulcanization conditions.

  Specifically, for each of the aramid fiber normal treatment and low friction treatment tooth fabrics, the first sample was a non-vulcanized sample, and the second and third samples were samples having different vulcanization conditions. The vulcanization conditions for the second sample are vulcanization temperature T = 153 ° C., vulcanization time t = 30 minutes, press pressure P = 0.5 MPa, and the vulcanization conditions for the third sample are vulcanization temperature T = 153. A sample with a vulcanization time of t = 30 minutes and a press pressure of P = 1.5 MPa was used. The vulcanized second and third samples were allowed to stand for 24 hours or more under conditions of an air temperature of 25 ± 5 ° C. and a humidity of 40-50%.

  For each of the six samples obtained under the above conditions, the shades of five arbitrarily selected imaging regions were measured in the same manner as in Experiment 1, and the average values are shown in FIG.

  As shown in FIG. 5, the density of the normal processed tooth cloth is 32,490 pixels for the first sample without vulcanization, 27,760 pixels for the second sample with a press pressure P = 0.5 MPa, The third sample with a press pressure P = 1.5 MPa was 31,023 pixels. On the other hand, the density of the low friction treated tooth cloth is 34,500 pixels for the first sample without vulcanization, 14,860 pixels for the second sample with a press pressure P = 0.5 MPa, and press pressure P = 1. The third sample at 5 MPa had 3,660 pixels.

  As described above, in the first sample without vulcanization, there is no difference in the density of the normal processing tooth cloth and the low friction processing tooth cloth, and it is difficult to identify which tooth cloth. I found out.

  Further, in the second sample with the press pressure P = 0.5 MPa, a difference in density appears between the normal processing tooth cloth and the low friction processing tooth cloth, and it is possible to identify which tooth cloth is the one. I think it is possible. In this case, the threshold value can be arbitrarily determined in the range of 15,000 to 25,000 pixels. However, in order to more reliably identify which tooth cloth, it is preferable to use a value of around 20,000 pixels as a threshold value.

  Furthermore, in the 3rd sample of press pressure P = 1.5MPa, the difference in the shade between a normal process tooth cloth and a low friction process tooth cloth becomes larger, and it is easy to determine which tooth cloth is a tooth cloth. It becomes possible to identify. In this case, the threshold value can be arbitrarily determined in the range of 4,000 to 30,000 pixels. However, in order to more reliably identify which tooth cloth, it is preferable to determine the threshold value in the range of 15,000 to 20,000 pixels.

As described above, unless the sample is vulcanized, it is difficult to distinguish between the normal processing tooth cloth and the low friction processing tooth cloth. By increasing the press pressure during vulcanization, the normal processing tooth cloth is reduced. It was found that it was easy to distinguish from the friction treated tooth cloth. This is presumably because the graphite fine particles are exposed more clearly from the surface of the tooth cloth when the press pressure is increased. In addition, in order to reliably identify the normal treatment tooth cloth and the low friction treatment tooth cloth, it is considered that the press pressure P at the time of vulcanization is preferably P = 0.5 MPa or more.
(Experiment 3)
FIG. 6 shows the lightness (number of pixels of “black”) for normal and low-friction toothpastes of nylon fibers obtained from the experimental results. Samples were prepared for each of a normal processing cloth and a low friction processing cloth of nylon fiber. It was carried out by obtaining a tooth cloth from three lots A to C. That is, three samples of normal processing tooth cloth with different lots (one for each of Lot. A to C) and three samples of low friction processing tooth fabrics with different lots (one for each of Lot. A to C). A total of 6 samples were prepared.

  The vulcanization conditions were vulcanization temperature T = 153 ° C., vulcanization time t = 30 minutes, and press pressure P = 1.5 MPa. Then, the press vulcanized sample was allowed to stand for 24 hours or more under conditions of an air temperature of 25 ± 5 ° C. and a humidity of 40-50%.

  For each of the six samples obtained under the above conditions, the shades of five arbitrarily selected imaging regions were measured in the same manner as in Experiment 1, and the average value is shown in FIG.

  As shown in FIG. 6, the lightness of the normal processing toothbrush is determined by Lot. A is 39,120 pixels, Lot. B is 40,200 pixels, Lot. C was 43,560 pixels. On the other hand, the density of the low friction treated tooth cloth is determined by Lot. A is 2,144 pixels, Lot. B is 740 pixels, Lot. C was 1,236 pixels.

  In this way, in the case of nylon fibers, as in the case of aramid fibers, in each lot, the density of the normal treatment tooth cloth and the density of the low friction treatment tooth cloth show greatly different values. It can be easily identified. In addition, about the tooth cloth of nylon fiber, a threshold value can be arbitrarily determined in the range of 3,000 to 35,000 pixels. However, it is preferable to determine the threshold value in the range of 10,000 to 20,000 pixels in order to more reliably identify which tooth cloth.

  As described above, in the present embodiment, the light wave λ is incident on the imaging region of the sample 12 at the incident angle θ1, the imaging region where the light wave λ is incident is captured as an analog image, and the captured analog image is captured. The image is converted into a digital image, and the gray level of the digital image is measured. In this case, the magnitude of the lightness and darkness measured by the surface irregularity state is different. Accordingly, it is possible to easily distinguish between the normal processing tooth cloth and the low friction processing tooth cloth. In addition, since the detection device 1 has a simple configuration including the mounting table 2, the two LEDs 3a and 3b, the camera 4, and the image processing device 5, the sample 12 is a normal processing tooth cloth easily and at low cost. Or low-friction treated tooth cloth.

  In the present embodiment, when the tooth cloth is press-vulcanized at 0.5 MPa or more, the normal treatment tooth cloth in which the glue rubber does not contain graphite and the tooth cloth in which the glue rubber contains graphite are used. The uneven state is significantly different. That is, when a tooth cloth containing graphite is press-vulcanized, a part of the graphite is exposed from the surface, so that the normal treatment tooth cloth and the low friction treatment tooth cloth can be more easily distinguished.

  In the present embodiment, the light wave λ is incident so that the incident angle θ1 with respect to the imaging region of the sample 12 is 45 °, and the image is captured by the camera 4 disposed opposite to the imaging region. If it is a low-friction treated tooth cloth, the shade will be lower than that of a normal treated tooth cloth.

  In addition, by determining a predetermined threshold value in advance and comparing the threshold value obtained from the sample 12 with the threshold value, it is possible to more easily identify the normal processing tooth cloth and the low friction processing tooth cloth.

  The preferred embodiment of the present invention has been described above. However, the present invention is not limited to the above-described embodiment, and various modifications can be made as long as they are described in the claims. is there. For example, in the present embodiment, the tooth cloth covered on the tooth portion of the toothed belt has been described, but instead, it is covered on the power transmission surface or the conveying surface of the transmission or conveying belt, or other surfaces. A reinforcing cloth may be used.

  Further, in the above-described embodiment, the light wave λ is incident on the imaging region of the sample 12 at the incident angle θ1, and this imaging region is captured by the camera 4 disposed facing the surface of the sample 12. The image is output as a gray analog image signal, which is converted into a digital image signal by the A / D converter 6 to calculate the gray level. However, instead of this, the light wave λ may be incident on the imaging region of the sample 12 at the incident angle θ1, and the intensity of the reflected light wave reflected from the surface of the sample 12 at the predetermined angle θ2 may be measured. In this case, by comparing the intensity of the light wave λ incident on the surface of the sample 12 at an incident angle θ1 with the intensity of the reflected light wave reflected from the surface of the sample 12 at a predetermined angle θ2, Two or more different tooth cloths can be identified. In this case, two or more types of tooth cloth can be identified regardless of whether the predetermined angle θ2 is substantially the same as or different from the reflection angle θ1. For example, when the predetermined angle θ2 and the reflection angle θ1 are substantially the same, if the sample 12 is a normal processing tooth cloth, the intensity of the incident light wave λ and the intensity of the light wave reflected at the predetermined angle θ2 are approximately the same. If the sample 12 is a low-friction treated tooth cloth, it is considered that the intensity of the incident light wave λ and the intensity of the light wave reflected at the predetermined angle θ2 are different. In addition, when the predetermined angle θ2 and the reflection angle θ1 are different, if the sample 12 is a normal processing tooth cloth, the intensity of the incident light wave λ and the intensity of the light wave reflected at the predetermined angle θ2 will be different. If the sample 12 is a low-friction treated tooth cloth, the intensity of the incident light wave λ and the intensity of the light wave reflected at the predetermined angle θ2 are considered to be substantially the same. In this case as well, by subjecting the sample 12 to press vulcanization within a range of 0.1 to 2.5 MPa, if the sample 12 is a low-friction treated tooth cloth, fine unevenness is caused by the fine particles of the antifriction material on the surface. Formed.

  In the above-described embodiment, the camera 4 is disposed so as to face the imaging region of the sample 12. However, the present invention is not limited to this. For example, the camera 4 is inclined with respect to the imaging region of the sample 12. May be arranged. However, from the viewpoint of reducing the measurement error, it is preferable that the camera 4 is disposed so as to face the imaging region of the sample 12.

  In addition, although this invention is described in said preferable embodiment, this invention is not restrict | limited only to it. It will be understood that various other embodiments may be made without departing from the spirit and scope of the invention.

It is a schematic block diagram of the detection apparatus which can detect the surface state of the tooth cloth for toothed belts. It is the schematic of the control block of the main-body part of an image processing apparatus. It is a figure showing the example of the digital image signal which converted the analog image signal and the analog image signal. It is a figure which shows the lightness and darkness about the normal processing tooth cloth of the aramid fiber obtained from the experimental result, and the low friction processing tooth cloth. It is a figure which shows the intensity | strength at the time of changing the vulcanization conditions about the normal processing tooth cloth of the aramid fiber obtained from the experimental result, and the low friction processing tooth cloth. It is a figure which shows the lightness and darkness about the normal processing tooth cloth of the nylon fiber obtained from the experimental result, and the low friction processing tooth cloth. It is the whole general perspective view of a toothed belt. It is a partial front view of a transmission belt.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Detection apparatus 2 Mounting base 3a, 3b LED (lighting fixture)
4 Camera 5 Image Processing Device 6 A / D Converter 7 Control Unit 8 CPU
9 ROM
10 RAM
11 Display 12 Sample 20 Toothed belt 21 Core wire 22 Back portion 23 Tooth portion 24 Tooth fabric 25 Weft yarn 26 Warp yarn 27 Rubber layer 28 Transmission belt 29 Adhesive rubber layer 30 Core wire 31 Reinforcement fabric 32 Rubber layer 33 Stretch rubber layer 34 Compression Rubber layer 35a, 35b Rubber layer 36 Cog valley 37 Cog mountain 38 Lower cog λ Incident light wave

Claims (8)

A method for identifying a reinforcing cloth for identifying a reinforcing cloth covering a power transmission surface or a conveying surface of a transmission or conveying belt, or other surface,
A light wave is incident on the surface of the reinforcing cloth at a predetermined incident angle;
Imaging the surface area of the reinforcing fabric on which the light wave is incident,
A method for identifying a reinforcing cloth, wherein two or more types of reinforcing cloths having different surface irregularities are identified by measuring the intensity of the captured image. The two or more kinds of reinforcing cloths are reinforcing cloths having different antifriction material contents,
2. The reinforcing cloth identification according to claim 1, wherein the reinforcing cloth to which the light wave is incident at the predetermined incident angle is vulcanized and pressurized within a range of 0.1 to 2.5 MPa. Method. The predetermined incident angle is within a range of 15 to 60 degrees;
The method for identifying a reinforcing cloth according to claim 1, wherein the surface area of the reinforcing cloth on which the light wave is incident is imaged from a direction facing the surface of the reinforcing cloth. The method for identifying the reinforcing cloth is a method for identifying two types of reinforcing cloth having different surface irregularities,
2. The two types of reinforcing cloths are identified by comparing the intensity of the captured image with a predetermined predetermined intensity. The identification method of the reinforcement cloth of any one of -3.   5. The reinforcing cloth identifying method according to claim 4, wherein the two kinds of reinforcing cloths have different surface irregularities depending on the presence or absence of an antifriction material on the surface of the reinforcing cloth.   6. The reinforcing cloth identifying method according to claim 5, wherein the antifriction material is graphite. A method of identifying a reinforcing cloth for identifying a reinforcing cloth covering a power transmission surface or a conveying surface of a transmission or conveying belt, or other surface,
The reinforcing cloth is vulcanized and pressurized within a range of 0.1 to 2.5 MPa,
A light wave is incident at an incident angle θ1 on the surface of the reinforced pressure-treated reinforcing fabric,
Measure the reflection intensity of the light wave reflected at a predetermined angle θ2 from the surface of the reinforcing cloth,
Reinforcement characterized in that two or more types of reinforcement cloths having different surface irregularities are identified by comparing the intensity of light waves incident on the surface of the reinforcement cloth at the incident angle θ1 and the reflection intensity. Cloth identification method. The transmission or conveyance belt is a toothed belt having a tooth portion along the longitudinal direction,
The tooth cloth identification method according to any one of claims 1 to 7, wherein the reinforcing cloth is a tooth cloth covered by a tooth portion of the toothed belt.

Images