JP7290564B2 - Shrinkage rate prediction device, shrinkage rate prediction system, shrinkage rate prediction device control method, ceramic product manufacturing method - Google Patents

Description

The present invention provides a shrinkage rate prediction device for predicting the shrinkage rate in the firing process related to the manufacture of ceramics, a shrinkage rate prediction system including the same, a control method for the shrinkage rate prediction device, and a ceramic product using the shrinkage rate prediction device. It relates to a manufacturing method.

Ceramics have high hardness, excellent heat resistance, corrosion resistance, and electrical insulation, and are used in various places and fields. The manufacturing process of ceramics includes a step of firing a ceramic compact obtained by shaping a ceramic raw material, and after firing, the ceramic shrinks compared to before firing. Therefore, in order to manufacture a ceramic product, it is necessary to determine the size of the ceramic compact before firing, on the premise that the ceramic shrinks during firing. However, it is difficult to know in advance how much it will shrink.

In addition, the fired ceramics body after firing is much harder than the ceramics molded body before firing, and it is not easy to process.

Therefore, it has been practiced to actually fire a test piece of the target ceramic molded body to calculate the shrinkage ratio. However, since the firing requires a considerable number of days, it takes time to actually calculate the shrinkage rate, and in the end, it takes time to complete the ceramic product.

Moreover, Patent Literature 1 describes a simulation method for calculating a shape change due to shrinkage by simulation instead of actually firing ceramics. Specifically, using the density of the ceramic molded body before sintering as an initial value, the temperature of each part of the molded body at the ambient temperature during the sintering process was calculated based on the heat conduction analysis, and the density and temperature of each part of the molded body were calculated. Based on this, a method of simulating the manufacturing process of ceramics is described, which calculates the strain rate of each part of the molded body and calculates the shape change due to sintering (firing) shrinkage.

Japanese Patent Application Laid-Open No. 11-157946 (published on June 15, 1999)

In Patent Document 1 mentioned above, the sintering stress, volume viscosity coefficient, and volume strain rate are calculated from the temperature and density of the ceramic molded body, and the strain rate (shrinkage rate) is calculated using the shrinkage rate formula. However, the contraction rate formula described in Patent Document 1 is a formula containing constants based on experimental results, and in order to actually perform simulations, experiments are required to determine the contraction rate formula. Therefore, it takes labor and time to prepare for the simulation, and it is not easy to actually execute the simulation.

One aspect of the present invention has been made in view of the above problems, and an object thereof is to provide a shrinkage rate prediction apparatus that can easily predict the shrinkage rate due to firing of a ceramic molded body using the density of the ceramic molded body. The purpose is to realize

In order to solve the above-mentioned problems, a shrinkage rate prediction device according to an aspect of the present invention is a shrinkage rate prediction device that predicts the shrinkage rate due to firing accompanying the production of ceramics, and is created based on historical data, A shrinkage ratio calculation unit that calculates a predicted shrinkage ratio of the ceramic molded body due to firing by inputting the density of the target ceramic molded body into a prediction model showing the relationship between the density and the shrinkage ratio of the ceramic molded body. It is characterized by

According to the above configuration, the predicted shrinkage rate of the target ceramic molded body can be calculated simply by inputting the density of the ceramic molded body into the prediction model created based on the historical data. rate can be predicted. As a result, it is possible to easily predict the shrinkage rate of the ceramic molded body due to firing, without requiring much time and labor for preparation as in the conventional art.

In the shrinkage rate prediction device according to an aspect of the present invention, a plurality of prediction models exist corresponding to the shape of the ceramic molded body, and the shrinkage rate calculation unit corresponds to the shape of the target ceramic molded body. The prediction model may be used to calculate the predicted shrinkage rate.

According to the above configuration, it is possible to accurately predict the shrinkage rate for each shape of the ceramic molded body by using an appropriate prediction model according to the shape of the ceramic molded body.

In the shrinkage rate prediction device according to the aspect of the present invention, the shrinkage rate calculator may calculate the shrinkage rate of each of the vertical direction, the horizontal direction, and the height direction of the ceramic compact.

According to the above configuration, since the shrinkage rates in the vertical direction, the horizontal direction, and the height direction are calculated, the predicted shrinkage rate of the three-dimensional structure can be calculated.

In order to solve the above-described problems, a shrinkage rate prediction system according to an aspect of the present invention includes: a shrinkage rate prediction device; and a section, wherein the shrinkage rate prediction device calculates the predicted shrinkage rate using the density calculated by the density calculation section.

In order to solve the above-described problems, a shrinkage rate prediction method according to an aspect of the present invention is a shrinkage rate prediction method for predicting the shrinkage rate due to firing accompanying the production of ceramics, wherein the density of the ceramic molded body is obtained. By inputting the density into a prediction model showing the relationship between the density and the shrinkage rate of the ceramic molded body created based on the acquisition step and history data, the predicted shrinkage rate due to firing of the ceramic molded body is calculated. and a shrinkage ratio calculation step.

In order to solve the above-described problems, a ceramic product manufacturing system according to an aspect of the present invention calculates the density of some ceramic compacts among a plurality of ceramic compacts produced from the same raw material lot. A ceramic compact produced from the same raw material lot by inputting the density into a prediction model created based on the density calculation unit and history data and showing the relationship between the density and the shrinkage rate of the ceramic compact. A shrinkage rate calculation unit that calculates a predicted shrinkage rate due to firing, and a shape obtained by expanding the desired shape after firing by the shrinkage rate is set using the predicted shrinkage rate, and the ceramic compact is cut according to the shape. a cutting part for cutting, a firing part for firing the cut ceramic molded body, and a grinding part for grinding the fired ceramic fired body to produce a ceramic product.

It is highly probable that the shrinkage rates of ceramic compacts molded under the same production conditions using raw materials from the same raw material lot are similar. According to the above configuration, among a plurality of ceramic compacts molded from the same raw material lot, the density of some of the ceramic compacts is used to mold other ceramic compacts from the raw material of the same raw material lot. Calculate the shrinkage ratio of As a result, the density of all the ceramic molded bodies can be calculated without waiting for firing of some of the ceramic molded bodies (test pieces), so the shrinkage ratio of the ceramic molded bodies can be calculated efficiently.

In order to solve the above-described problems, a method for manufacturing a ceramic product according to an aspect of the present invention includes: an obtaining step of obtaining the density of the ceramic molded body; A shrinkage rate calculation step of calculating a predicted shrinkage rate due to firing of the target ceramic molded body by inputting the density into a prediction model showing the relationship between the shrinkage rate and the desired shrinkage rate after firing using the predicted shrinkage rate. A shape obtained by enlarging the shrinkage rate from the shape of is set, and according to the shape, a cutting step of cutting the ceramic compact, a firing step of firing the cut ceramic compact, and a fired ceramic fired body and a production step of grinding to produce a ceramic product.

In the method for manufacturing a ceramic product according to an aspect of the present invention, the obtaining step obtains the density of some ceramic molded bodies among a plurality of ceramic molded bodies produced from the same raw material lot, and the cutting step Then, the cutting may be performed using the predicted shrinkage rate of the target ceramic molded body and the ceramic molded body produced from the raw material of the same raw material lot.

According to the above configuration, it is possible to calculate the shrinkage rate used for cutting the target ceramic molded body using the density of a part of the ceramic molded body, so that the Processing can be reduced.

In the method for manufacturing a ceramic product according to an aspect of the present invention, the ceramic molded body is obtained by cutting out a raw material after molding it into a predetermined shape, and a plurality of the predetermined shapes molded from the same raw material lot. A measurement step of measuring the weight and volume of a ceramic molded body cut out from a predetermined shape, and calculating the density of the ceramic molded body using the weight and the volume measured in the measuring step and a density calculation step, wherein the acquisition step acquires the density calculated in the density calculation step, and the cutting step includes the target ceramic molded body and the raw material of the same raw material lot. Cutting may be performed using the predicted shrinkage rate of the ceramic compact.

According to the above configuration, when the ceramic molded body is cut out from a predetermined shape obtained by molding a raw material, the density can be calculated for each ceramic molded body after cutting. Thus, even if the density differs depending on the portion of the predetermined shape, the density can be accurately calculated for each ceramic compact.

According to one aspect of the present invention, it is possible to easily and quickly predict the shrinkage rate of a ceramic molded body due to firing without requiring time and labor for preparation as in the conventional art.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows the whole ceramics product manufacturing system outline|summary which concerns on embodiment of this invention. (a), (b) is a figure which shows the example of environment information. (a) is a diagram showing an example of raw material information, and (b) and (c) are diagrams showing an example of ceramic compact information. (a) and (b) are diagrams showing examples of ceramic compacts. FIG. 2 is a diagram showing a flow of determining a drawing (cutting drawing) for determining the shape of a ceramic molded body after cutting based on a product drawing. FIG. 4 is a diagram showing a shape change from a ceramic molded body to a ceramic portion of a product; (a) to (c) are diagrams showing examples of shapes of ceramic compacts. (a) and (b) are diagrams for comparing the effects of the conventional art and the present invention. It is a flow chart which shows a flow of processing in this embodiment. It is a flowchart which shows the flow of update of a prediction model. FIG. 10 illustrates another embodiment of the present invention;

[Embodiment 1]
An embodiment of the present invention will be described in detail below. First, a ceramic product manufacturing system (shrinkage rate prediction system) 1 according to the present embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an overall outline of a ceramic product manufacturing system 1. As shown in FIG.

As shown in FIG. 1, the ceramic product manufacturing system 1 manufactures ceramic products through the following steps. First, there is a ceramic raw material, and the government and economics department 200 forms the ceramic raw material to form a ceramic compact (forming step (forming step): S200). Next, the ceramic compact is cut by the cutting unit 300 (cutting step (cutting step): S300), the ceramic compact after cutting is fired by the firing unit 400 (firing step (firing step): S400), and after firing A ceramic product is manufactured by grinding the ceramic sintered body in the grinding section 500 (grinding step (grinding step): S500).

In the ceramics product manufacturing system 1 according to the present embodiment, in order to minimize the grinding allowance of the ceramics fired body in the grinding step S500 in the manufacture of this ceramics product, it is determined in advance how much the ceramics will shrink in the firing step S400. The amount of cut in the cutting step S300 is determined using the predicted shrinkage rate.

Specifically, description will be made with reference to FIGS. 5 and 6. FIG. Fig. 5 shows the flow of determining the drawing (cutting drawing) for determining the shape of the ceramic molded body after cutting based on the actual product drawing showing the shape of the ceramic part of the ceramic product, which is the final product. FIG. 4 is a diagram showing; As shown in FIG. 5, a metal part 201 and a ceramics part 202 are shown in the product drawing 31. Only the ceramics part 202 in the product drawing 31 is taken out to create a porcelain drawing 32, and finally the porcelain drawing 32 Considering the shrinkage in the firing step S400, a cutting drawing 33 is created so that the ceramics portion 203 is larger than the ceramics portion 202 shown in the porcelain drawing 32 so that the ceramics portion 202 shown in FIG.

Next, referring to FIG. 6, the change in shape from the ceramic compact to the ceramic portion (ceramic product) shown in the porcelain drawing will be described. FIG. 6 is a diagram showing a shape change from a ceramic compact to a ceramic product. As shown in FIG. 6, first, there is a ceramic molded body 301 molded from a raw material. The hatched portion is cut from the ceramic molded body 301 based on the cutting diagram to form a ceramic molded body 302 after cutting. The ceramic compact 302 after cutting is sintered to form a ceramic sintered body 303 . The ceramic sintered body 303 is shrunk (shrinkage rate α) more than the ceramic molded body 302 due to sintering. After that, the fired ceramic body 303 is ground to produce a ceramic portion (ceramic product) shown in the porcelain drawing 32 .

As described above, in the firing step S400, since the ceramic molded body 302 shrinks, the shrinkage is taken into account, that is, the shrinkage rate is increased, and the grinding allowance of the fired ceramic fired body 303 after firing is reduced as much as possible. It is necessary to determine the shape of the ceramic compact 302 after cutting so that it can be made smaller. Here, the shape of the ceramic molded body is explained by taking a columnar shape as an example, but the shape of the ceramic molded body is not limited to a cylindrical shape, and a conical shape such as a cone (for example, (a in FIG. 7) )), a plate shape such as a disc (eg, (b) in FIG. 7), a prism shape (eg, (c) in FIG. 7), a tubular shape, and a combination thereof.

Next, with reference to FIG. 1, details of the ceramic product manufacturing system 1 will be described. As shown in FIG. 1 , the ceramic product manufacturing system 1 includes an environment sensor 40 , a management device 10 , a shrinkage rate prediction device 20 and a drawing device 30 .

The environment sensor 40 is a sensor installed in a raw material warehouse where ceramic raw materials (raw materials used for molding ceramics) are stored and a storage location where ceramic compacts are stored. and humidity. The environment sensor 40 periodically measures the temperature and humidity, for example, every 10 minutes, and transmits the measured results to the management device 10 . The environment information management unit 11 of the management device 10 manages the measurement result of the environment sensor 40 in association with the measurement time and the measurement location.

The management device 10 performs manufacturing management of ceramic products in the ceramic product manufacturing system 1, and in addition to the environment information management unit 11 described above, a ceramic compact management unit 12, a storage unit 13, and a shrinkage rate data management unit 14. including. The storage unit 13 stores raw material information 131 , ceramic compact information 132 managed by the ceramic compact management unit 12 , and ceramic sintered compact information 133 managed by the shrinkage rate data management unit 14 .

The environment information management unit 11 acquires and manages the temperature and humidity of the raw material warehouse and storage location measured by the environment sensor 40 . More specifically, the environmental information management unit 11 manages the temperature and humidity in the raw material warehouse in association with the measurement time and measurement location. In addition, in this embodiment, temperature and humidity are integrated and called environment information. That is, the environmental information is at least one of the location where the raw material used for molding the ceramics is manufactured from the original raw material, the storage location of the raw material, the molding location of the ceramic molded body, and the storage location of the ceramic molded body. including temperature and humidity of

An example of environment information managed by the environment information management unit 11 is shown in FIG. As shown in FIG. 2, the environmental information is managed by associating the date, time, temperature, and humidity with each location. FIG. 2(a) shows an example in which date and time are associated with temperature and humidity for raw material warehouse X, and FIG. and humidity are associated with each other. For example, in the example shown in (a) of FIG. 2, at 10:00 on May 1st, the temperature in raw material warehouse X is 22 degrees and the humidity is 50 percent, and at 11:00 on the same day the temperature is 21 degrees and the humidity is 45 percent. ing. The same applies hereinafter. In the example shown in FIG. 2(b), at 10:00 on May 1st, the temperature and humidity at the storage location P of the ceramic molded body were 20 degrees and 40 percent, and at 11:00 on the same day, the temperature and humidity were 20 degrees and 40 percent, respectively. 45 percent. The same applies hereinafter. In this way, by associating the location, date and time, temperature, and humidity, it is possible to identify where the ceramic compact and the raw material from which the ceramic compact was stored at a certain point in time. For example, environmental information (temperature, humidity) at that time can be obtained.

The ceramic molded body management unit 12 manages information on ceramic molded bodies to be manufactured (target ceramic molded bodies). More specifically, the ceramic molded body management unit 12 includes a molded body storage ID used to identify the target ceramic molded body, a raw material lot number that is shipping inspection data of the raw material of the ceramic molded body, and information on the particle size distribution of the raw material. (average particle size, degree of dispersion, etc.), angle of repose (the angle between the slope of the mountain formed by dropping the raw material from a certain height and the horizontal plane), degree of dispersion, etc. are controlled. Information about these raw materials is collectively referred to as raw material information. The compact storage ID is a box number of a box in which one or more ceramic compacts are stored, and can specify one or more ceramic compacts. Furthermore, the box number also includes information for specifying the shape of the ceramic compact.

Examples of raw material information and compact information are shown in FIG. As shown in (a) of FIG. 3, raw material information is associated with raw material lot number, raw material name, raw material average particle size, angle of repose, and degree of dispersion. In addition to these, the product number and raw material box number may be associated. For example, in the example shown in the first row of (a) of FIG. 3, the raw material lot number "G1", the raw material name "A100", the average particle size "KR1", the repose angle "KA1", and the degree of dispersion "KB1" correspond. attached.

The raw material information 131 may be input by the user via a reception unit (not shown) provided in the management device 10, or may be automatically acquired by the management device 10 from the device to which the raw material information 131 is input. good too.

The raw material information 131 is information that may have different values depending on the conditions under which the raw materials are generated. Even with the same raw material, the average particle size, angle of repose, and degree of dispersion may differ due to different production conditions. In this embodiment, by using raw material information as information to be input to the prediction model 22, the shrinkage rate can be predicted for the same raw material with different raw material information as described above.

Further, as shown in FIG. 3B, the ceramic molded body information 132 is associated with a molded body storage ID, raw material lot number, environmental information, and measurement data. For example, in the example shown in the first line of FIG. day 10:00), the storage location P where the ceramic compact was stored and the date and time (10:00 on May 10)", and the measurement data "volume, weight" (150 g, 60 cm ³ ) are associated with each other. ing. The same applies hereinafter.

Incidentally, as shown in (c) of FIG. 3, the ceramic compact information 132 may be one in which measurement data is associated with each compact storage ID.

For example, as shown in FIG. 4(a), if the ceramic molded body formed from the raw material is to proceed to the cutting step S300 and the firing step S400 as it is, the preceding portion (part) of the ceramic molded body for each raw material lot is measured and the measured data is stored. However, as shown in FIG. 4B, when cutting out a ceramic molded body produced from a raw material and proceeding to the cutting step S300 and firing step S400 of the cut ceramic molded body (cut body), the ceramic molding before cutting is performed. The density can be calculated more accurately by using the measurement data of the cut-out body than by using the measurement data of the body. This is because the density may vary slightly depending on the part of the ceramic molded body before cutting.

Therefore, when proceeding to the cutting step S300 and the firing step S400 using the cut body, each cut body is measured and the measurement data is stored.

In the example shown in FIG. 3(c), the compact storage ID "BS11", the raw material lot number "G1", the environmental information "raw material warehouse X where raw materials were stored and the date and time (10:00 on May 1), The storage location P where the ceramic compact was stored and the date and time at that time (May 10, 10 o'clock)", and the measurement data "volume, weight" (150 g, 60 cm ³ ) are associated.

Since the compact storage ID identifies the box in which the ceramic compact is stored, when one cut-out object is stored in the box, the cut-out object can be identified. Therefore, in the ceramic compact information shown in FIG. 3(c), raw material lot numbers, environmental information, and measurement data are associated with each cut piece and stored.

Then, the ceramic molded body management unit 12 manages by acquiring environmental information corresponding to the target ceramic molded body from the environmental information management unit 11 . The corresponding environmental information is the temperature and humidity of the raw material warehouse when the target ceramic compact was in the original raw material state of the target ceramic compact, and the temperature and humidity of the storage location where the target ceramic compact is stored. be.

In addition, the ceramic molded body management unit 12 acquires and manages measurement data (volume, weight) of the target ceramic molded body. The measurement data are measured by an external measuring device. The measurement data may be input to the management device 10 by the user, or may be automatically acquired by the management device 10 from the measurement device.

A 3D scanner may be used to measure the volume of the ceramic molded body and the ceramic sintered body. A 3D scanner is a device that measures the three-dimensional shape of a three-dimensional object, and is broadly classified into a contact type and a non-contact type. The contact type measures by bringing the sensor into contact with the object. The non-contact method measures the object by irradiating it with light. The pattern light method projects a stripe or grid pattern to identify the surface shape, and the method irradiates a laser beam to measure the distance to the object. and laser light methods for measuring angles are well known.

The shrinkage rate data management unit 14 calculates the shrinkage rate from the measurement data of the ceramic compact and the measurement data of the fired ceramic compact, and calculates the calculated shrinkage rate and raw material information and environment corresponding to the ceramic compact. Information and density are sent to the prediction model updating unit 24 of the shrinkage rate prediction device 20 . Further, the ceramic fired body information 133 in the storage unit 13 stores measurement data of the ceramic fired body obtained by firing the ceramic molded body.

The management device 10 transmits environmental information, raw material information, and measurement data corresponding to the target ceramic compact to the shrinkage rate prediction device 20 .

The shrinkage rate prediction device 20 predicts the shrinkage rate in the firing step S400 of the target ceramic molded body using environmental information, raw material information, and the like. and prediction model update unit 24 .

The density calculator 21 uses the measurement data acquired from the management device 10 to calculate the density of the target ceramic compact.

In addition, when the density is calculated using the measurement data of a part of the ceramic molded body formed from the same raw material lot, the density may be calculated using the average value of the measurement data of the part. Density may be calculated using measured data. For example, when measurement data for three ceramic molded bodies molded from the same raw material lot is obtained, the average value of the three measured data may be used to calculate the density. , the density may be calculated using the remaining one piece of measurement data after removing the maximum and minimum.

The predictive model 22 is a predictive model created based on historical data and showing the relationship between various types of information on ceramics before firing and the shrinkage ratio. Examples of various types of information include raw material information, environmental information, density, and compact information. The prediction model 22 may use all of these pieces of information, any one of them, or an arbitrary plurality of them. For example, the prediction model may be a model showing the relationship between density and shrinkage, a model showing the relationship between environmental information and shrinkage, or a model showing the relationship between raw material information and shrinkage. It may be a model shown. As a result, the shrinkage rate can be predicted from raw material information, and the shrinkage rate can be easily predicted with simple information.

As the prediction model 22, for example, an approximation formula can be used. Note that the prediction model 22 is not limited to a formula as long as it can output a shrinkage rate for input information. For example, it may be program logic, deep learning by AI (Artificial Intelligence), or the like.

The shrinkage rate calculation unit 23 inputs various information (raw material information, environmental information, density, compact information) corresponding to the target ceramic compact to the prediction model 22 to calculate the shrinkage rate associated with firing of the target ceramic compact. calculate. Then, the calculated predicted shrinkage rate is transmitted to the drawing device 30 . The shrinkage rate calculator 23 calculates the shrinkage rate of each of the length, width, and height of the target ceramic compact. By calculating the respective shrinkage rates for the length, width, and height of the target ceramic molded body, the shrinkage rate in the three-dimensional structure can be expressed appropriately. Note that the shrinkage rate does not have to be calculated for each of the length, width, and height, and it is also possible to calculate only the shrinkage rate in a specific direction.

The prediction model updating unit 24 updates the prediction model 22 using the shrinkage rate and various information (raw material information, environmental information, density) acquired from the shrinkage rate data management unit 14 .

The drawing device 30 uses the predicted shrinkage rate obtained from the shrinkage rate prediction device 20 to generate cutting drawings and cutting programs for the ceramic compact, and includes a generation unit 35 and drawing data 36 .

The drawing data 36 includes a drawing corresponding to the porcelain drawing 32 described above, and the generation unit 35 creates a cutting drawing (corresponding to the cutting drawing 33 ). In addition, the generation unit 35 generates a cutting program for cutting a cutting allowance from the ceramic molded body before cutting, taking into consideration the predicted shrinkage rate. The cutting drawing is a drawing used for execution by the cutting machine in the cutting step S300, and the cutting program is a program for the cutting machine to execute cutting. Alternatively, only one of the creation of the cutting drawing and the generation of the cutting program may be performed.

As described above, according to the ceramic product manufacturing system 1 according to the present embodiment, the shrinkage rate is predicted by inputting information including raw material information into the prediction model 22. Shrinkage can be used to produce ceramic products.

As described above, the shrinkage rate prediction device 20 included in the ceramic product manufacturing system 1 according to the present embodiment predicts the shrinkage rate due to firing accompanying the manufacture of ceramics. Shrinkage ratio calculation for calculating the predicted shrinkage ratio due to firing of the ceramic molded body by inputting the raw material information of the ceramic molded body before firing into the prediction model 22 that shows the relationship between the raw material information on the raw material used for molding and the shrinkage ratio. A portion 23 is provided. As a result, the predicted shrinkage rate of the ceramic compact can be calculated simply by inputting the raw material information of the ceramics before firing into the prediction model created based on the history data, so the shrinkage rate can be easily predicted in a short time. In addition, since the predicted shrinkage rate is calculated according to the raw material information, it is possible to deal with differences in shrinkage rate due to variations in raw materials. That is, it is possible to calculate the predicted shrinkage rate corresponding to the case where the raw material is the same but the raw material information is different, that is, the case where the conditions for producing the raw material are different.

In addition to the raw material information, the prediction model 22 may indicate the relationship between the shrinkage rate and at least one of the density of the ceramic compact and environmental information indicating the environment in which the ceramics are manufactured. 23 may calculate a predicted shrinkage rate by inputting at least one of density and environmental information in addition to raw material information to the prediction model 22 .

In addition, for a product with a complicated shape or a product with partially different molding pressures, the shrinkage rate of each portion may be calculated.

In addition to the raw material information, the prediction model 22 may indicate the relationship between the molded body information indicating the shape of the ceramic molded body and the shrinkage rate. The predicted shrinkage rate may be calculated by inputting molded body information in addition to the information. The following effects can be obtained by using the compact information.

Conventionally, as shown in FIG. was cutting. That is, even if the products are different, if the ceramic compacts are formed from raw materials of the same raw material lot, they are cut (creation of cutting drawings, creation of cutting programs) assuming that the shrinkage rate is the same. For example, if the shrinkage rate of the ceramic molded body related to the raw material lot A is the shrinkage rate A, there are ceramic molded bodies molded from the raw material of the raw material lot A corresponding to the product X, the product Y, and the product Z. In this case, the shrinkage rate corresponding to these was uniformly set to the shrinkage rate A for cutting. Similarly, when the shrinkage rate of the ceramic molded body related to the raw material lot B is the shrinkage rate B, the ceramic molded bodies molded from the raw material of the raw material lot B correspond to the product α, the product β, and the product γ. In some cases, the shrinkage rate corresponding to these was uniformly set to the shrinkage rate B and cutting was performed.

On the other hand, if the compact information is used, as shown in FIG. 8(b), the shrinkage rate can be calculated for each ceramic compact corresponding to each product as well as for differences in raw material lots. Therefore, in the above example, the shrinkage rate can be calculated for each of the products X, Y, and Z even for the ceramic molded body related to the raw material lot A. For example, if the product X has a shrinkage rate of X, the product Y has a shrinkage rate of Y, and the product Z has a shrinkage rate of Z, the respective shrinkage rates can be used for cutting (generation of cutting drawings and cutting programs). Similarly, for the ceramic molded body related to the raw material lot B, the shrinkage rate is calculated corresponding to the product α, the product β, and the product γ, respectively. , for the product γ, if the shrinkage ratio is γ, cutting can be performed using each shrinkage ratio.

In this way, by using compact information, it is possible to manufacture a ceramic product using an appropriate shrinkage rate according to the shape of the product.

[Process flow]
Next, the flow of processing up to the cutting step S300 in the ceramic product manufacturing system 1 will be described with reference to FIG. FIG. 9 is a flow chart showing the flow of processing up to the cutting step S300 in the ceramic product manufacturing system 1. As shown in FIG.

As shown in FIG. 9, the management device 10 acquires environment information at a predetermined cycle (S401). As described above, the environmental information is the temperature and humidity of the storage warehouse where the raw material corresponding to the target ceramic compact is stored, and the temperature and humidity of the storage location where the target ceramic compact is stored. Next, raw material information corresponding to the target ceramic compact is acquired in the management device 10 (S402).

After that, when the ceramic molded body is produced from the raw material in the molding step S200, the management device 10 acquires the measurement data of the target ceramic molded body measured in the measurement step (S404, acquisition step). As the measurement data, the measurement data of the target ceramic molded body of the leading portion is acquired for each raw material lot number. The ceramic compacts in the leading portion refer to up to a predetermined number of ceramic compacts from the beginning among the ceramic compacts molded using the raw material of the raw material lot number.

Then, the management device 10 transmits the measurement data to the shrinkage rate prediction device 20, and the shrinkage rate prediction device 20 calculates the density of the target ceramic compact from the acquired measurement data (S405, density calculation step).

In addition, the management device 10 transmits raw material information and environmental information to the shrinkage rate prediction device 20, and the shrinkage rate prediction device 20 predicts the shrinkage rate of the target ceramic molded body using the raw material information, environmental information, and density ( S406, shrinkage rate calculation step). Then, the shrinkage rate prediction device 20 instructs the drawing device 30 to generate a cutting diagram and a cutting program in consideration of the predicted shrinkage rate (S407).

The drawing device 30 instructed by the shrinkage rate prediction device 20 to generate a cutting drawing and a cutting program generates a cutting drawing considering the shrinkage rate predicted by the shrinkage rate prediction device 20 (S408), and also generates a cutting program. Generate (S409). As described above, it is not always necessary to generate both the cutting drawing and the cutting program, and only one of the cutting drawing and the cutting program may be generated.

Next, with reference to FIG. 10, the flow of update processing of the prediction model 22 used by the shrinkage rate prediction device 20 will be described. FIG. 10 is a flow chart showing the flow of update processing of the prediction model 22. As shown in FIG. As shown in FIG. 10, the management device 10 acquires the measurement data of the ceramic sintered body after the target ceramic compact is actually sintered in the sintering step S400 (S501). Then, the shrinkage rate data management unit 14 compares it with the measurement data of the ceramic molded body before firing (S502), and calculates the actual shrinkage rate (S503). Next, the shrinkage rate data management unit 14 transmits the calculated actual shrinkage rate, the environmental information, raw material information, and density corresponding to the target ceramic compact as shrinkage rate data to the shrinkage rate prediction device 20 (S504). ). The prediction model updating unit 24 of the shrinkage rate prediction device 20 updates the prediction model 22 using the actual shrinkage rate of the target ceramic compact, environmental information, raw material information, and density corresponding to the target ceramic compact as learning data. (S505).

As a result, the shrinkage rate prediction device 20 can predict the shrinkage rate of the target ceramic compact while updating the prediction model 22 based on the actual shrinkage rate.

[Modification 1]
Next, a modification of the ceramic product manufacturing system 1 will be described with reference to FIG. 11 . In the above-described embodiment, the density calculation unit 21 of the shrinkage rate prediction device 20 calculates the density of the target ceramics from the measurement data (volume, weight) of the target ceramics.

This modification includes a density measuring device 25 capable of directly measuring the density of the target ceramic molded body, and the shrinkage rate prediction device 20A acquires the density of the target ceramic molded body from the density measuring device 25 .

An example of the density measuring device 25 is a device that irradiates a ceramic molded body with radiation such as X-rays and obtains the density of the ceramic molded body from information on its reflection or transmission.

[Modification 2]
In the embodiment described above, the shrinkage rate is predicted by the shrinkage rate prediction device 20 that is different from the management device 10 . The present invention is not limited to this, and the functions of the contraction rate prediction device 20 may be executed inside the management device 10 .

[Modification 3]
Various types of information (raw material information, environmental information, density, compact information) to be input to the prediction model 22 are acquired by each device as described above, and are finally notified to the shrinkage rate prediction device 20. Alternatively, various types of information may be systematically acquired, and the shrinkage rate prediction device 20 may use the acquired information to predict the shrinkage rate.

[Example of realization by software]
The control block of the shrinkage rate prediction device 20 may be implemented by a logic circuit (hardware) formed in an integrated circuit (IC chip) or the like, or may be implemented by software.

In the latter case, the shrinkage rate prediction device 20 comprises a computer that executes program instructions, which are software that implements each function. This computer includes, for example, at least one processor (control device) and at least one computer-readable recording medium storing the program. In the computer, the processor reads the program from the recording medium and executes it, thereby achieving the object of the present invention. As the processor, for example, a CPU (Central Processing Unit) can be used. As the recording medium, a "non-temporary tangible medium" such as a ROM (Read Only Memory), a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. In addition, a RAM (Random Access Memory) for developing the above program may be further provided. Also, the program may be supplied to the computer via any transmission medium (communication network, broadcast wave, etc.) capable of transmitting the program. Note that one aspect of the present invention can also be implemented in the form of a data signal embedded in a carrier wave in which the program is embodied by electronic transmission.

The management device 10 and the shrinkage rate prediction device 20 according to each aspect of the present invention may be realized by a computer. ) to realize the management device 10 and the shrinkage rate prediction device 20 by a computer, and a computer-readable recording medium recording the control program of the management device 10 and the shrinkage rate prediction device 20. come under the category of invention.

The present invention is not limited to the above-described embodiments, but can be modified in various ways within the scope of the claims, and can be obtained by appropriately combining technical means disclosed in different embodiments. is also included in the technical scope of the present invention. Furthermore, new technical features can be formed by combining the technical means disclosed in each embodiment.

For example, in the above embodiment, the shrinkage rate calculation unit calculates the predicted shrinkage rate due to firing of the ceramic molded body. You may calculate the predicted shrinkage amount by and the predicted dimension after baking.

1 Ceramic Product Manufacturing System 10 Management Device 11 Environmental Information Management Department 12 Ceramic Molded Body Management Department 13 Storage Department 14 Shrinkage Data Management Department 20 Shrinkage Rate Predictor 21 Density Calculator 22 Prediction Model 23 Shrinkage Rate Calculator 24 Prediction Model Updater 25 Density measuring device 30 Plotting device 35 Generation unit 40 Environment sensors 301 and 302 Ceramic compact 303 Ceramic sintered compact

Claims (8)

A shrinkage rate prediction device for predicting the shrinkage rate due to firing accompanying the manufacture of ceramics,
By inputting the density of the target ceramic compact into a prediction model that shows the relationship between the density and shrinkage rate of the ceramic compact created based on historical data, the predicted shrinkage rate due to firing of the ceramic compact is calculated. A shrinkage ratio calculation unit that calculates
A plurality of the prediction models exist corresponding to the shape of the ceramic compact,
The shrinkage rate prediction device, wherein the shrinkage rate calculator calculates the predicted shrinkage rate using the prediction model corresponding to the shape of the target ceramic compact. 2. The shrinkage rate prediction apparatus according to claim 1 , wherein the shrinkage rate calculator calculates the shrinkage rate of each of the vertical direction, the horizontal direction, and the height direction of the ceramic compact. a shrinkage rate prediction device according to claim 1 or 2 ;
a density calculation unit that calculates the density of the ceramic molded body using the weight and volume of the ceramic molded body,
A shrinkage rate prediction system, wherein the shrinkage rate prediction device calculates the predicted shrinkage rate using the density calculated by the density calculation unit. A shrinkage rate prediction method for predicting the shrinkage rate due to firing accompanying the manufacture of ceramics,
an obtaining step of obtaining the density of the ceramic molded body;
A shrinkage ratio calculation step of calculating a predicted shrinkage ratio due to firing of the ceramic compact by inputting the density into a prediction model created based on historical data and showing the relationship between the density and the shrinkage ratio of the ceramic compact. and including
A plurality of the prediction models exist corresponding to the shape of the ceramic compact,
The shrinkage rate prediction method, wherein in the shrinkage rate calculation step, the predicted shrinkage rate is calculated using the prediction model corresponding to the shape of the ceramic compact. a density calculation unit that calculates the density of some ceramic compacts among a plurality of ceramic compacts produced from the same raw material lot;
Ceramics produced from the same raw material lot by inputting the density into a prediction model created based on historical data and showing the relationship between the density of the ceramic compact and the shrinkage rate due to firing in the production of the ceramics. a shrinkage rate calculation unit that calculates a predicted shrinkage rate due to firing of the molded body;
a cutting unit that uses the predicted shrinkage rate to set a shape obtained by enlarging the desired shape after firing by the shrinkage rate, and cuts the ceramic compact according to the shape;
a firing section that fires the cut ceramic molded body;
a grinding unit that grinds the fired ceramic body to produce a ceramic product;
A manufacturing system for ceramic products, characterized by comprising: an obtaining step of obtaining the density of the ceramic molded body;
Shrinkage rate that calculates the predicted shrinkage rate due to firing of the target ceramic molded body by inputting the density into a prediction model that shows the relationship between the density and the shrinkage rate of the ceramic molded body created based on historical data. a calculation step;
a cutting step of setting a shape obtained by enlarging the desired shape after firing by the shrinkage rate using the predicted shrinkage rate, and cutting the ceramic compact according to the shape;
a firing step of firing the cut ceramic compact;
A method for manufacturing a ceramic product, comprising: a grinding step of grinding a fired ceramic body to produce a ceramic product. In the acquiring step, among a plurality of ceramic compacts produced from raw materials of the same raw material lot, densities of some of the ceramic compacts are acquired,
7. The ceramic product according to claim 6 , wherein in the cutting step, cutting is performed using a predicted shrinkage rate of a ceramic compact produced from raw materials of the same raw material lot as the target ceramic compact. Production method. The ceramic molded body is obtained by molding a raw material into a predetermined shape and then cutting it out.
a measuring step of measuring the weight and volume of ceramic compacts cut out from a predetermined shape out of the plurality of predetermined shapes formed from the same raw material lot;
a density calculation step of calculating the density of the ceramic molded body using the weight and the volume measured in the measurement step,
The acquisition step acquires the density calculated in the density calculation step,
7. The ceramic product according to claim 6 , wherein in the cutting step, cutting is performed using a predicted shrinkage rate of a ceramic compact produced from raw materials of the same raw material lot as the target ceramic compact. Production method.

Images