WO2024029183A1

WO2024029183A1 - Additive fabrication processing system, and additive fabrication operator selection apparatus and method

Info

Publication number: WO2024029183A1
Application number: PCT/JP2023/020614
Authority: WO
Inventors: 友則木村; 啓嗣川中; 雄亮保田; 勝煥朴
Original assignee: 株式会社日立製作所
Priority date: 2022-08-01
Filing date: 2023-06-02
Publication date: 2024-02-08
Also published as: JP2024019842A

Abstract

Provided are an additive fabrication processing system, and an additive fabrication operator selection method and apparatus that propose a candidate fabrication operator on the basis of desired quality confirmation items, when a request for an additively fabricated product is made to a fabrication operator and quality confirmation is implemented on the basis of monitoring data. The additive fabrication processing system is characterized by comprising: a front step of determining a fabrication operator by using required fabrication specifications from a fabrication client; a design step of implementing a design according to the required fabrication specifications; a fabrication recipe generation step of setting a fabrication condition such that model data created in the design step gives a fabricated product satisfying the requirements from the client; a fabrication step of conducting fabrication by the fabrication operator determined in the front step; and a quality assessment step of assessing the quality of the fabricated product on the basis of monitoring data of the fabricated product manufactured in the fabrication step. The fabricated item after quality confirmation is delivered to the client. In the front step, a fabrication operator is extracted that possesses a manufacturing facility including a fabrication facility database that holds data of a fabrication facility possessed by the fabrication operator, and a fabrication monitoring device database that holds data of a fabrication monitoring device possessed by the fabrication operator, the manufacturing facility being capable of manufacturing a fabricated product indicated by the required specifications by using the required specifications and referencing the fabrication facility database, the fabrication operator further possessing a monitoring device capable of confirming the quality indicated by the required specifications by using the required specifications and referencing the fabrication monitoring device database.

Description

Additive manufacturing processing system, additive manufacturing operator selection device and method

The present invention relates to an additive manufacturing processing system, an additive manufacturing operator selection device, and a method for selecting an additive manufacturing operator.

Additive manufacturing is used for rapid prototyping of aftermarket parts, molds and specialized mechanical parts. In additive modeling, the manufacturer primarily designs, and the modeling business undertakes the modeling recipe design and modeling. The quality of the completed additively shaped object is checked by the modeling business or the manufacturer, and then applied to the equipment. However, because there are separate manufacturers who perform design and quality checks and additive manufacturing companies, it is difficult to improve quality and yield by linking design, manufacturing recipe design, manufacturing, and quality.

Regarding this point, for example, Patent Document 1 states that it is possible to provide additionally shaped parts that meet required specifications, and it is also possible to appropriately select a vendor.

JP2020-166383A

Since know-how is required to manage additively shaped products, it is difficult for the client to carry out all of the design, modeling recipe design, modeling, and quality confirmation. By having a third party undertake design, modeling recipe design, modeling, and quality confirmation, it is possible to efficiently manufacture additively shaped objects. However, because of the remarkable progress in printing equipment in recent years, it is not realistic to introduce printing equipment in-house.
On the other hand, when requesting a modeling business only for the modeling, the delivery date may be longer because the additive-printed object is sent to a third party once to confirm the quality of the object, and then sent to the manufacturer after the quality check. There are growing challenges.

Attempts have been made to monitor additively shaped objects during printing and estimate their quality. Estimating quality using monitoring data allows analysis to proceed by simply sending the data without sending the additively manufactured product, and is expected to reduce delivery times. On the other hand, there are various types of monitoring targets for additive manufacturing, such as infrared rays, visible light, and sound, and each monitoring device has a different sampling rate and resolution. For this reason, if a modeling client wants to perform quality confirmation using monitoring data, it is necessary to select appropriate monitoring targets and monitoring equipment.

Therefore, the present invention provides an additive manufacturing processing system and additive manufacturing system that proposes candidate manufacturing companies based on the desired quality confirmation items when requesting a manufacturing company to produce an additively formed object and performing quality confirmation using monitoring data. The purpose is to provide a device and method for selecting a modeling business.

From the above, in the present invention, "a front process in which a modeling business is determined using the required modeling specifications from a modeling client, a design process in which a design is implemented according to the required modeling specifications, and a design process" There is a modeling recipe generation process in which the modeling conditions are set so that the model data created in the process becomes a model that satisfies the client's requirements, a printing process in which the modeling is performed by the modeling company determined in the front process, and a manufacturing process in the printing process. The process includes a quality evaluation process in which the quality of the modeled object is evaluated using the monitoring data of the modeled object, and the modeled object is delivered to the client after quality confirmation. Equipped with a molding equipment database that holds data and a molding monitoring equipment database that holds data on molding monitoring equipment owned by the molding business, and uses the required specifications to refer to the molding equipment database and manufacture the molded object indicated by the required specifications. Extracting manufacturing businesses that have available manufacturing equipment and that also have monitoring equipment that can check the quality indicated by the required specifications by referring to the manufacturing monitoring equipment database using the required specifications. This is an additive manufacturing processing system with special features.

In addition, in the present invention, "a printing equipment database that holds data on printing equipment held by a printing business operator, a printing monitoring equipment database holding data on printing monitoring equipment held by a printing business operator, and a computer are provided. Accordingly, a modeling business that owns manufacturing equipment capable of manufacturing the object indicated by the required specifications by referring to the modeling equipment database using the required specifications from the modeling client, and using the required specifications. "An additive manufacturing business selection device characterized by extracting manufacturing businesses that have monitoring equipment that can confirm the quality indicated by required specifications by referring to a modeling monitoring equipment database."

In addition, in the present invention, "a front process in which a modeling business is determined using the required modeling specifications from a modeling client, a design process in which a design is implemented according to the required modeling specifications, and a A printing recipe generation process in which printing conditions are set so that the model data becomes a printed object that satisfies the client's requirements, a printing process in which printing is performed by a printing company determined in the front process, and a printing process in which the printing process produces a printed object. It includes a quality evaluation process that evaluates the quality of the modeled object based on object monitoring data, and the modeled object after quality confirmation is delivered to the client.In addition, in the front process, the modeled object indicated by the required specification is evaluated using the required specifications. An additive manufacturing processing method characterized by extracting a manufacturing business that owns manufacturing equipment capable of manufacturing and that also owns monitoring equipment that can confirm the quality indicated by the required specifications using the required specifications. ”.

In addition, in the present invention, ``a modeling business that owns manufacturing equipment capable of manufacturing a modeled object indicated by the required specifications using a computer using the required modeling specifications from a client for modeling, and that uses the required specifications] ``A method for selecting additive manufacturing companies that is characterized by extracting manufacturing companies that have monitoring equipment that can confirm the quality indicated by the required specifications.''

According to the present invention, it is possible to provide an additive manufacturing processing system, an additive manufacturing operator selection method, and a device that support the selection of a manufacturing operator according to desired quality check items when requesting an additively manufactured object, for example. .

1 is a diagram showing an example of an additive modeling processing system according to an embodiment of the present invention. 1 is a diagram illustrating an example of an additive manufacturing operator selection method and apparatus according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be specifically described with reference to the drawings. The present invention is not limited to the embodiments mentioned here, and may be appropriately combined with known techniques or improved based on known techniques without departing from the technical idea of the invention. be.

In Example 1, the overall flow of the modeling process will be explained, in Example 2, the front process will be explained, and in Example 3, the desirable quality items to be checked for the model will be explained below.

In Example 1, the overall flow of the modeling processing process (additive modeling processing system) will be described. FIG. 1 shows an example of an additive printing processing system (printing platform) according to an embodiment of the present invention.

Here, a series of processing steps S are shown, from when the client 10 requests the production of an additively-printed object, until the final product, the additively-printed object, is delivered from the modeling business 20 through quality confirmation through monitoring. It is described. The processing steps S are a front step S1, a design step S2, a modeling recipe generation step S3, a modeling step S4, and a quality evaluation step S5.

However, the client 10 has not yet decided which of the numerous modeling businesses 20 is appropriate to request the production of the additional object. For this reason, the embodiment of the present invention is characterized in that a front step S1 for selecting a business operator is provided at the beginning of the series of processing steps S.

Here, the modeling process S4 itself is executed by the modeling business operator 20. Other processes SP (front process S1, design process S2, modeling recipe generation process S3, quality evaluation process S5) may be handled by individual businesses, but preferably between the client 10 and the modeling business 20. It is preferable that the modeling platform business operator 30, which is an intermediary, handles the other processes SP consistently.

In the following description of the embodiments of the present invention, details of each processing step will be explained with consideration given to the response by the modeling platform operator 30.

In the front process S1, when the client 10 requests the production of an additional model, it has the function of determining the appropriate modeling business 20 to carry out the modeling, as well as organizing the requests of the client 10 and meeting the requested specifications of the client 10. It has the function of searching for similar cases according to the requirements and showing examples of additive manufacturing. It also has a function to share information with customers regarding procurement issues and manufacturing issues, such as when it is difficult to perform additive manufacturing in accordance with customer requests in the design process S2 described below.

As a result, after the design process S2 is completed, the modeling equipment is determined based on the modeling dimensions and materials determined in the design process S2, and the client is determined based on the order status, the equipment owned by the collaborating manufacturing business 20, and the equipment operating status. , we can give you an answer regarding the delivery date. In addition, by arbitrarily registering the modeling ability (printable size, type of modeling material, etc.) in the front process S1, the modeling business operator 20 can increase the number of modeling request destinations (modeling business operators 20). You can also perform cost analysis and create estimates based on design information and client information.

In the design process S2, a suitable design is implemented according to the required specifications. It is determined whether the designed shape can be manufactured based on the overhang angle, dimensions, internal structure, etc. of the completed modeling drawing. If it is determined that modeling is not possible, the process is returned to the front process S1 and the required specifications are readjusted with the customer (requester 10). If it is determined that the designed shape can be manufactured, materials and post-processes (cutting, surface treatment) are determined according to customer requirements (strength, specific gravity, corrosion resistance, surface roughness, etc.). In additive manufacturing, the design takes into account deformation and heat during manufacturing, and also considers the placement of supports. Decide the printing device according to the printing size and printing material. Set the printing posture, support, and number of pieces to be printed according to the printing capacity of the printing device. The completed three-dimensional model data is sent to the modeling recipe step S3 using three-dimensional CAD data or the like.

In the modeling recipe generation step S3, modeling conditions are set so that the three-dimensional model data created in the design step S2 becomes an additionally shaped object that satisfies customer requirements. The quality of additively shaped objects changes depending on the modeling conditions. In addition to the characteristics of the additively shaped object, quality includes the presence or absence of defects that occur during modeling and heterogeneous areas such as specific metal structures (pores, cracks, structural abnormalities, and geometric abnormalities). When applying the modeling platform business operator 30, the steps up to this point are consistently executed by the modeling platform business operator 30, and the determined design specifications and the like are passed to the determined modeling business operator 20.

In the modeling process S4 in the modeling business 20, additive modeling is performed based on the three-dimensional model data completed in the design process S2 and the modeling recipe completed in the modeling recipe generation process S3. Additional modeling is requested to the modeling business operator 20 selected in the front process S1. The modeling business operator 20 acquires monitoring data DM during additive modeling. Examples of the monitoring data DM include data DM1 based on visible light monitoring, data DM2 based on electromagnetic wave monitoring, and data DM3 based on acoustic monitoring.

When applying the modeling platform operator 30, the monitoring data DM is passed from the modeling operator 20 to the modeling platform operator 30, and the quality evaluation step S5 is implemented. In the quality evaluation step S5, defect information of the additively molded product is output from the monitoring data DM obtained in the modeling step S4, and the quality of the additively molded product is determined from the output result. Quality can be determined arbitrarily with respect to defect rate, defect size, density, defect position, number density of inclusions, material properties, etc. The quality determination described here may be performed not only after modeling, but also at the same time as modeling.

Next, the modeling platform business operator 30 evaluates the quality of the additional model created by the modeling business operator 20 based on the monitoring data DM provided by the modeling business operator 20, and in order to obtain approval from the client 10, The quality information is presented to the client, and if approval is obtained, the additional model is delivered from the modeling business 20 to the client 10.

The above is the entire flow of the modeling process in FIG. 1, and the embodiment of the present invention is characterized in that a front process S1 is provided. By providing the front process S1, when requesting an additionally shaped object to a modeling business operator 20 and performing quality confirmation using monitoring data DM, it is possible to propose a modeling business operator 20 as a candidate based on desired quality confirmation items. I can do it.

In the second embodiment, the selection of an additive manufacturing business, which is the process of the front process S1, will be explained.
Here, when selecting the modeling business 20, one of the things to keep in mind is that the modeling business 20 is equipped with sufficient equipment to manufacture products that can satisfy the specifications requested by the client 10. The other point is whether it is possible or not, and other matters are the ability to objectively guarantee the quality of the additively created object and present enough back data (monitoring data DM) to convince the client 10. The point is whether or not there is a system in place (equipped with monitoring equipment).

FIG. 2 shows a method showing the equipment and flow for selecting an additive manufacturing business according to a second embodiment of the present invention. In FIG. 2, reference numeral 100 denotes an additive modeling operator selection device that receives input from the input unit 200 and displays processing results and the like on the display unit 300 as appropriate.

The additive manufacturing operator selection device 100 has two sets of databases DB created in advance. One of them is a fabrication equipment database DB1 that holds data on fabrication equipment owned by the fabrication business 20, and the other is a fabrication monitoring equipment database that holds data on fabrication monitoring equipment held by the fabrication business 20. It is DB2.

According to the process using the additive manufacturing operator selection device 100, the above-mentioned modeling equipment data and modeling monitoring equipment data are held in advance. On the other hand, a first requirement specification and a second requirement specification are obtained as requirement specifications that organize the requests of the client 10.

First, in the modeling information input step S11, based on information from the modeling client 10, modeling data D1A such as the shape, size, and material of the desired object as the first required specification is inputted from the input unit 200. Furthermore, as a second required specification, quality items to be checked for the model are input as quality item data D1B.

Next, in the modeling equipment information output step S12, the modeling data D1A obtained in the modeling information input step S1 is compared with the modeling equipment database DB1, which is a database of the modeling capabilities of each modeling business 20, to create a model that allows the desired modeling. The modeling machine information D2 regarding the machine is output.

In the fabrication monitoring device information output step S13, the quality item data D1B obtained in the fabrication information input step S11 is compared with the fabrication monitoring device database DB2, and fabrication monitoring device information D3 regarding the fabrication monitoring device from which information on the desired quality item can be obtained. Output. The molding monitoring equipment database DB2 is a database of the capabilities of the molding monitoring equipment possessed by each molding business operator 20, and furthermore, the molding monitoring equipment and quality items are associated with each other.

Next, in the modeling business selection step S14, the modeling equipment database DB1 is referred to to extract the information D4 of the modeling business that owns the modeling machine outputted in the modeling equipment information output step S12, and the modeling monitoring equipment database DB2 is also referred to. Then, the modeling business operator information D4 that owns the modeling monitoring equipment outputted in the modeling monitoring equipment information output step is extracted, and the modeling business operator 20 that owns both devices and facilities is identified.

Finally, in the information output step S15, the modeling business operator D4 obtained in the modeling business operator selection process S14 is output as a modeling request destination candidate.

In this way, the additive manufacturing business selection device 100 determines whether the additive manufacturing business 20 is equipped with sufficient equipment and capable of manufacturing products that can satisfy the specifications requested by the client 10, and which is capable of manufacturing products that meet the specifications requested by the client 10, and which additive manufacturing businesses 20 have been manufactured by other manufacturers. A business operator that has a system that can objectively guarantee the quality of the product and present enough back data (monitoring data DM) to satisfy the client 10 is finally selected.

In Embodiment 3, desirable items regarding the quality item data D1B to be checked for the modeled object will be described below. In addition, desirable monitoring equipment and monitoring data will be explained.

First of all, when setting quality items, you should consider the heterogeneity related to quality. In addition to the characteristics of the additively shaped object, quality includes the presence or absence of defects that occur during modeling and non-uniformities such as specific metal structures. Here, the heterogeneity is classified into four categories: pores, cracks, structural abnormalities, and geometric abnormalities.

Among the heterogeneous parts, pores are caused by gas remaining in the additive-molded object during additive-molding. In the gas atomization method used to manufacture metal powder, gas is used to manufacture the metal powder, so it is assumed that gas components remaining in the metal powder become pores in the modeled object. In addition, excessive heat input during additive manufacturing causes pores to be formed in connection with metal melting phenomena such as Marangoni convection caused by changes in the surface tension of the molten pool, evaporation of elements, and keyhole formation. If the energy of the molten pool is insufficient and the powder particles cannot be melted, voids (hereinafter referred to as LOF) due to unfused portions (LOF) are generated. LOFs are typically irregularly shaped and may contain unfused powder.

With regard to cracks among the heterogeneous parts, cracks are also one of the defects that occur in additive-molded objects. The aforementioned pores and LOF remain in the form of cracks. Cracks may also occur if there is a difference in linear expansion coefficient between the substrate and the additive structure, or if there is a large thermal gradient in the molten pool during solidification.

Next, among the heterogeneous parts, structural heterogeneity (anisotropy, inclusions) will be described. Generally, when the amount of heat input during modeling is changed, the metal structure of the additionally-shaped object changes. The solidification rate changes with changes in the temperature gradient of the molten pool, which affects the microstructure such as the structural anisotropy of the modeled object. Additionally, the atmosphere during modeling and impurities in the metal powder, such as the formation of oxides due to oxygen, also affect the microstructure. Changes in the metallographic structure are directly linked to changes in the mechanical properties of the additive structure.

Finally, we will discuss geometric abnormalities among the heterogeneous parts. Geometric anomalies are related to dimensional changes and surface roughness. This relates to the stability of the melt value, and changes in the size and shape of the molten pool have a large effect on the dimensions and surface roughness. To minimize these geometric anomalies, a stable weld pool size and shape is required.

The pores (including LOF), cracks, structural abnormalities, and geometric abnormalities mentioned above are all thought to be formed due to melting phenomena during additive manufacturing, and therefore are related to melting phenomena during additive manufacturing. By monitoring the information obtained, it is possible to judge the quality of the additive-molded object. It is also believed that the occurrence of cracks can be determined by an acoustic sensor that captures the impact when cracks occur as sound.

From the above, it is best to consider the above points as quality items that should be checked for the modeled object. Next, desirable monitoring equipment and monitoring data DM will be explained. First, the monitoring data DM will be explained. There are various methods of additive manufacturing. For example, it is a powder bed fusion method, in which a flat sheet of metal powder is irradiated with a laser beam (L-PBF: Laser Powder Bed Fusion) or an electron beam (EBM: Electron Beam Melting), etc. and additive manufacturing.

On the other hand, the directional energy sedimentary method (Directed ENERGY DEPOSITION) method is formed while exciting metal powder, and LMD (LASER METAL DEPOSITION), DMP (DIRECT METAL PRINTINTIN). G), etc. Here, we will discuss monitoring of the molten pool in L-PBF as a representative example.

Melting in additive manufacturing is caused by laser irradiation, and the molten pool is affected by modeling parameters such as laser output and scanning speed, as well as material properties such as the enthalpy required to melt the metal powder and laser reflectance.

One of the changes in the molten pool is the temperature change in the molten pool, and the status of the molten pool can be estimated by monitoring information related to the temperature change in the molten pool. In L-PBF, a plasma plume consisting of reflected and scattered laser, electromagnetic waves such as infrared rays depending on the temperature, ionized gas and metal vapor is emitted from the molten pool. Since the electromagnetic waves and plasma plume emitted from the molten pool change depending on the state and temperature of the molten pool, they are important indicators for detecting the formation of various defects related to the melting phenomenon and determining quality.

In order to obtain the above-mentioned monitoring data DM, an appropriate monitoring device is required.
Common monitoring devices in additive manufacturing include visible light monitoring, electromagnetic wave monitoring, and acoustic monitoring. Here, electromagnetic wave monitoring will be explained in detail.

Electromagnetic wave monitoring mainly involves observing infrared rays (wavelength from 700 nm) whose intensity changes depending on temperature, and includes optical tomography (OT), photodiodes, two-color thermometers, thermography, spectrometers, etc. Photodiodes and two-color thermometers used for detailed observation of the molten pool (melt pool monitoring) do not have spatial resolution, but they are installed coaxially with the laser and measured, and compared with the set laser irradiation pattern. By doing so, the spatial relationship can be determined. In addition to thermal radiation from the molten pool, it is also necessary to consider reflection and scattering of laser light, but generally only the desired wavelength is observed using a spectral filter.

OT and thermography using CCD and CMOS cameras are characterized by spatial resolution. Therefore, in addition to the measurement method in which the laser is installed coaxially with the laser, it is also possible to monitor the entire printing area from the top of the printing chamber (hereinafter referred to as non-coaxial). Also, like the photodiode and the like described above, the wavelength range to be observed is selected using a spectral filter.

In this way, it is possible to observe information related to melting by coaxial and non-coaxial electromagnetic wave monitoring during additive manufacturing. Since changes in the molten pool (temperature, convection, size, fusion depth, etc.) are related to defect formation, it is possible to infer the defect location by arranging the relationship between defects formed in additive-molded objects and electromagnetic wave monitoring. becomes.

The wavelength, sampling rate, resolution, etc. selected for each monitoring device are different, and the installation position of the monitoring device is different for each printing device. For this reason, if you have decided on a quality item that you would like to check through electromagnetic wave monitoring, it is important to request a manufacturing business that has appropriate monitoring equipment for that quality item.

From the above, when monitoring to verify the quality of a modeled object, it is necessary to have monitoring equipment that can provide the above monitoring data. Manufacturers of built objects are required to have equipment that can produce additive objects that meet product specifications, as well as monitoring equipment that can provide monitoring data that can prove their quality.

Considering the above, in the front process S1 of FIG. 1, the client 10 should specifically specify the dimensions and material type of the additional object as the desired additional object information.
Furthermore, as the desired quality of the shaped object, it is preferable to specifically specify the characteristics of the additionally shaped object and the type of heterogeneous portions such as defects and specific metal structures that occur during modeling. These heterogeneities include pores, cracks, structural abnormalities, and geometric abnormalities.

According to such specific designation, in the front process S1, an additive modeling machine is selected from the modeling capability of the modeling equipment database DB1 based on the information of the inputted additive manufacturing object. Next, from the association between the inputted desired additional-structured product quality information and the modeling monitoring device/quality item of the modeling monitoring device information database DB2, a modeling monitoring device corresponding to the desired additional-printed product quality information is selected. A printing request destination that has equipment including the printing equipment and printing monitoring equipment selected up to this point is selected, and the requester can receive printing information.

10: Client 20: Modeling business operator 30: Modeling platform operator 100: Additive modeling operator selection device 200: Input section 300: Display section DB1: Modeling equipment database DB2: Modeling monitoring equipment database S: Processing process S1: Front process S2: Design process S3: Modeling recipe generation process S4: Modeling process S5: Quality evaluation process

Claims

There is a front process in which a modeling business is determined using the required modeling specifications from the modeling client, a design process in which a design is implemented according to the required modeling specifications, and a model data created in the design process is transferred to the client. A printing recipe generation process in which printing conditions are set to produce a printed object that satisfies the requirements, a printing process in which printing is performed by a printing company determined in the front process, and monitoring data for the printed object manufactured in the printing process. It includes a quality evaluation process in which the quality of the modeled object is evaluated using
The front process is equipped with a molding equipment database that holds data on molding equipment owned by the molding business and a molding monitoring equipment database that holds data on molding monitoring equipment owned by the molding business, and uses the required specifications. A manufacturing business that owns manufacturing equipment capable of manufacturing the object indicated by the required specifications by referring to the molding equipment database, and using the required specifications to refer to the molding monitoring equipment database and making the request. An additive manufacturing processing system characterized by extracting manufacturing businesses that have monitoring equipment that can confirm the quality indicated by specifications.
The additive modeling processing system according to claim 1,
The processing of the front process, the design process, the printing recipe generation process, and the quality evaluation process is carried out consistently by the printing platform operator, which is an intermediary between the client and the printing operator. An additive manufacturing processing system that is compatible with
The additive modeling processing system according to claim 1,
An additive modeling processing system characterized in that the results of the quality evaluation process are fed back to the modeling recipe generation process, and the modeling recipe generation process creates a new modeling recipe.
The additive modeling processing system according to claim 1,
An additive manufacturing processing system characterized in that the results of the quality evaluation process are fed back to the design process, and the design process creates a new design.
A molding equipment database that holds data on molding equipment held by the molding business operator, a molding monitoring equipment database that holds data on the molding monitoring equipment held by the molding business operator, and a computer, and the computer allows the molding requester to A manufacturing business that owns manufacturing equipment capable of manufacturing a molded object indicated by the required specifications by referring to the modeling equipment database using the required specifications for modeling, and monitors the modeling using the required specifications. An additive manufacturing business selection device characterized in that a manufacturing business that has monitoring equipment capable of confirming quality indicated by the required specifications is extracted by referring to an equipment database.
The additive manufacturing operator selection device according to claim 5,
The additive manufacturing business is characterized in that the required specifications include modeling data regarding the shape, size, and material of the desired object as a first required specification, and the first required specification refers to the modeling equipment database. Selection device.
The additive manufacturing operator selection device according to claim 5,
The additive manufacturing business selection is characterized in that the required specifications include quality item data regarding quality items to be checked for the molded object as a second required specification, and the modeling monitoring equipment database is referred to by the second required specifications. Device.
The additive manufacturing operator selection device according to claim 5,
The required specifications include modeling data regarding the shape, size, and material of the desired object as a first required specification, and the first required specification refers to the modeling equipment database. An additive manufacturing operator selection device comprising quality item data regarding quality items to be confirmed as a second required specification, and referring to the modeling monitoring equipment database based on the second required specification.
The additive manufacturing operator selection device according to claim 7,
An additive manufacturing contractor selection device characterized in that the quality item includes at least one of internal defect position, internal defect size, density, and defect rate.
The additive manufacturing operator selection device according to claim 7,
An additive modeling vendor selection device, wherein the quality item includes at least one of dimensions and surface roughness.
The additive manufacturing operator selection device according to claim 7,
The quality items include at least one of microstructure (segregation, grain size, precipitate/crystalline number density, precipitate/crystalline size, crystal direction), tensile properties, impact value, fatigue strength, and corrosion resistance. An additive manufacturing vendor selection device characterized by:
There is a front process in which a modeling business is determined using the required modeling specifications from the modeling client, a design process in which a design is implemented according to the required modeling specifications, and a model data created in the design process is transferred to the client. A printing recipe generation process in which printing conditions are set to produce a printed object that satisfies the requirements, a printing process in which printing is performed by a printing company determined in the front process, and monitoring data for the printed object manufactured in the printing process. The process includes a quality evaluation process in which the quality of the modeled object is evaluated using
In the front process, the manufacturing business is a manufacturing business that owns manufacturing equipment capable of manufacturing the object indicated by the required specifications using the required specifications, and is capable of confirming the quality indicated by the required specifications using the required specifications. An additive manufacturing processing method characterized by extracting manufacturing businesses that own monitoring equipment.
A modeling business that owns manufacturing equipment capable of manufacturing a modeled object indicated by the required specifications using a computer using the required specifications from the modeling client, and that uses the required specifications to produce the required specifications. A method for selecting additive manufacturing companies characterized by extracting manufacturing companies that have monitoring equipment that can confirm the quality shown.