A system for the production of a powder metallurgical component

Abstract

The application relates to a powder metallurgy part preparation system, which comprises a preparation equipment group for carrying out powder metallurgy part production, a PLC controller and a formula matching verification module; the formula matching verification module verifies a to-be-verified formula based on user-input requirement information, matches and determines an optimal preparation formula, and controls the preparation equipment group to carry out powder metallurgy part production through the PLC controller. The application has the effect of effectively improving powder preparation part production efficiency and product performance.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of powder sintering, and in particular to a powder metallurgy part preparation system. BACKGROUND

[0002] Powder metallurgy is a process technology that uses forming and sintering processes to make materials and products from metal powders (or mixtures of metal powders and non-metal powders). The application range of powder metallurgy products is very wide, from ordinary mechanical manufacturing to precision instruments; from hardware tools to large machinery; from electronic industry to motor manufacturing; from civilian industry to military industry; from general technology to cutting-edge high technology, all of which can see the presence of powder preparation technology.

[0003] At present, powder preparation parts are widely used in various fields, and powder metallurgy parts in different fields often have different performance requirements and application requirements. In the powder preparation field, due to the freedom of composition, adding some other trace metal element powder or lubricant to the main base raw material powder often produces powder preparation parts with different performance, and even can greatly improve the performance of powder preparation part products. When producing powder preparation parts, the existing process flow is often used to crush, press form, sinter and post-treat the raw materials after determining the target powder preparation part, which has low production efficiency and general product performance. For the improved formula, due to the time and effort required for verification, it is often verified or shelved, which prevents the production and research and development of powder preparation parts from being organically combined and mutually promoted, and affects the production efficiency, product performance and production cost of powder preparation parts. SUMMARY

[0004] In order to solve the problem that the existing powder preparation part production mode is fixed and cannot be organically combined with formula process research and development, resulting in the production efficiency, product performance and production cost of powder preparation parts being affected, the present application provides a powder metallurgy part preparation system.

[0005] In a first aspect, the present application provides a powder metallurgy part preparation system, which adopts the following technical solution:

[0006] A powder metallurgy part preparation system, comprising a preparation equipment group for powder metallurgy part production, a PLC controller and a formula matching verification module; the formula matching verification module verifies and matches the best preparation formula based on the user input requirement information, and controls the preparation equipment group to produce powder metallurgy parts through the PLC controller.

[0007] Preferably, the formula matching verification module verifies and matches the best preparation formula based on the user input requirement information, and controls the preparation equipment group to produce powder metallurgy parts through the PLC controller, which specifically includes the following steps:

[0008] The formula matching verification module obtains user input requirement information, the requirement information including performance requirement information and to-be-verified formula information; the performance requirement information including one or more of workpiece shape specifications, hole content rate, tensile strength, hardness, density, toughness, ductility, sound insulation performance, carbon content, thermal conductivity, finish, tolerance accuracy, oil content, and special properties, wherein the special properties are special properties of powder metallurgy parts caused by special materials;

[0009] The formula matching verification module determines the optimal preparation formula based on the performance requirement information and the to-be-verified formula information; the optimal preparation formula including at least one raw material information and preparation process flow information;

[0010] The formula matching verification module generates a raw material scheduling instruction according to the optimal preparation formula, and production personnel transport the raw materials to the preparation equipment group according to the raw material scheduling instruction;

[0011] The formula matching verification module generates preparation control parameters according to the preparation process flow information of the optimal preparation formula, and sends the preparation control parameters to the PLC controller. The PLC controller updates and sets the parameters of the preparation equipment group according to the preparation control parameters;

[0012] The formula matching verification module generates preparation control instructions according to the preparation process flow information of the optimal preparation formula and sends the preparation control instructions to the PLC controller. The PLC controller controls the preparation equipment group to produce powder preparation parts meeting user requirements based on the preparation control instructions and the preparation process flow.

[0013] Preferably, the formula matching verification module determines the optimal preparation formula based on the performance requirement information and the to-be-verified formula information, specifically including the following steps:

[0014] The formula matching verification module determines an existing target preparation formula based on the performance requirement information through a pre-set formula matching model; the formula matching model is a machine learning model trained through historical formula matching data;

[0015] The formula matching verification module determines whether there is a to-be-verified formula based on the to-be-verified formula information, the to-be-verified formula including at least one raw material information and preparation process flow information, formula performance expectation information, and formula performance qualified threshold information;

[0016] If not, the existing target preparation formula is selected as the optimal preparation formula;

[0017] If so, the to-be-verified formula is simulated, the performance information of the trial sample is determined based on the simulation result, and the trial sample is trial-produced;

[0018] The comprehensive score of the to-be-verified formula and the existing target preparation formula is calculated by a pre-set formula score calculation formula, and the formula with the highest comprehensive score is selected as the best preparation formula.

[0019] Preferably, the formula matching verification module matches and determines the existing target preparation formula based on the performance requirement information through a pre-set formula matching model, which specifically includes the following steps:

[0020] The formula matching verification module matches and determines at least one alternative formula that meets the performance requirement through a pre-set formula matching model, and the alternative formula includes at least one raw material information and preparation process flow information;

[0021] The comprehensive score of each alternative formula is calculated by a pre-set formula score calculation formula;

[0022] The alternative formula with the highest comprehensive score is selected and determined as the existing target preparation formula.

[0023] Preferably, the pre-set formula score calculation formula is specifically:

[0024] ;

[0025] Wherein, O i is the performance value of the i-th performance requirement item in the performance requirement information of the corresponding user in the formula product performance information, Q i is the requirement value of the i-th performance requirement item in the performance requirement information of the user, n is the total number of performance requirement items in the performance requirement information of the user; F is the raw material cost of producing a rated number of products, B is the rated number, G is the personnel salary cost of producing the rated number of products, H is the equipment wear and maintenance cost of producing the rated number of products, D is a pre-set cost threshold for producing the rated number of products; X is a performance score coefficient, S is a cost score coefficient, and X and S are set by the management personnel.

[0026] Preferably, the simulation of the to-be-verified formula based on the simulation result determines the sample performance of the trial production specifically includes the following steps:

[0027] The simulation performance information of the to-be-verified formula is obtained based on the simulation of the to-be-verified formula;

[0028] It is judged whether the simulation performance information of the to-be-verified formula meets the performance requirement of the user based on the performance requirement information;

[0029] If not, the simulation performance information is output to the formula development personnel for formula correction;

[0030] If yes, the to-be-verified formula is sent to the PLC controller to control the sample trial production of the preparation equipment group;

[0031] The performance of the trial sample is verified and detected to obtain performance information of the trial sample.

[0032] Preferably, the simulation based on the to-be-verified formula obtains simulation performance information of the to-be-verified formula, and the simulation performance information of the to-be-verified formula comprises the following steps:

[0033] The established machine learning model is trained by the historical formula verification data to obtain a performance prediction model;

[0034] The raw material information and the preparation process information of the to-be-verified formula are input into the performance prediction model, the performance prediction model verifies the raw material information, and it is judged whether there is uncollected raw material information;

[0035] If there is, it is judged that the to-be-verified formula is a new formula, the to-be-verified formula is sent to the PLC controller, and the preparation equipment group is controlled to perform sample trial production;

[0036] If not, the performance prediction model simulates based on the raw material information and the preparation process information of the to-be-verified formula to obtain simulation performance information of the to-be-verified formula.

[0037] Preferably, the sending of the to-be-verified formula to the PLC controller to control the preparation equipment group to perform sample trial production further comprises: if there are multiple to-be-verified formulas with simulation performance information meeting the user performance demand, calculating the predicted performance score of each to-be-verified formula by a pre-set performance score calculation formula, sorting the to-be-verified formulas based on the predicted performance score, and sending the to-be-verified formulas to the PLC controller in order to control the preparation equipment group to perform sample trial production.

[0038] Preferably, the pre-set performance score calculation formula is specifically:

[0039] ;

[0040] Among them, the performance item in the user input performance demand information is taken as a necessary performance demand item, and the remaining performance items are taken as secondary performance demand items, N1 is a necessary performance demand score coefficient, N2 is a secondary performance demand score coefficient, and both are set by the management personnel; L i is the simulation performance value of the i-th necessary performance demand item, J i is the demand value of the i-th performance demand item in the user's performance demand information, K i is the performance expected value of the i-th necessary performance demand item in the formula performance expected information; E i is the simulation performance value of the i-th secondary performance demand item, T i is the qualified threshold of the i-th secondary performance demand item in the formula performance qualified threshold information, R iis the performance expectation value of the i-th secondary performance requirement item in the formula performance expectation information, and w is the total number of secondary performance requirement items.

[0041] Preferably, the performance verification detection on the trial sample to obtain the performance information of the trial sample further comprises: determining whether the formula is qualified based on the performance information of the trial sample and the simulation performance information of the formula, and sending the simulation performance information of the formula, the performance information of the trial sample and the determination information to the formula research and development personnel.

[0042] In summary, the present application includes at least one of the following beneficial technical effects:

[0043] Through the setting of the formula matching verification module, based on the user demand information, the formula matching and formula verification are organically combined, the powder preparation formula research and development work is empowered on the basis of meeting the user workpiece performance demand, the production and research and development of powder preparation parts are organically combined, and each other is promoted, the formula verification process is simplified, the formula verification cost is saved, and the effect of effectively improving the powder preparation part production efficiency and product performance is achieved.

[0044] Based on the user's performance demand information and the to-be-verified formula information, the best preparation formula meeting the user's demand is accurately matched, if the to-be-verified formula information exists in the to-be-verified formula in the scheme matching process, the formula verification is simultaneously realized, the formula matching and formula verification are organically combined, the powder preparation formula research and development work is empowered on the basis of meeting the user workpiece performance demand, the production and research and development of powder preparation parts are organically combined, the production personnel are liberated from tedious parameter setting and control work, the manpower and material resources are saved, the powder preparation failure rate is effectively reduced, and the effect of effectively improving the powder preparation production efficiency and production quality is achieved.

[0045] Through the simulation of the to-be-verified formula, the preliminary verification and screening of the to-be-verified formula are realized, the formula not meeting the performance requirements and not meeting the user demand this time is screened out, the powder preparation production is mainly considered, the formula verification is auxiliary, the formula verification work is empowered, the superiority of formula matching is improved on the basis of saving the formula verification cost, the user satisfaction is improved, which is helpful for the vigorous development of formula research and development work, and the effect of simulation, preliminary verification and screening of the research and development formula is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 is a method flow chart of powder preparation by the preparation system in the embodiment of the present application;

[0047] Figure 2 is a method flow chart of matching and determining the best preparation formula in the embodiment of the present application;

[0048] Figure 3 is a method flow chart of matching and determining the existing target preparation formula in the embodiment of the present application;

[0049] Figure 4 is a method flowchart for determining the performance of a trial sample of a to-be-verified formula in an embodiment of the present application;

[0050] Figure 5 is a method flowchart for simulating a to-be-verified formula in an embodiment of the present application

[0051] Figure 6 is a system block diagram of a preparation system in an embodiment of the present application.

[0052] Legend: 1, preparation equipment group; 2, PLC controller; 3, formula matching verification module. DETAILED DESCRIPTION

[0053] The following will be described in detail below with reference to the accompanying drawings Figures 1-6 The present application will be further described in detail.

[0054] An embodiment of the present application discloses a preparation system of a powder metallurgy part. Referring to Figures 1-6 A preparation system of a powder metallurgy part includes a preparation equipment group 1 for powder metallurgy part production, a PLC controller 2, and a formula matching verification module 3. The formula matching verification module 3 verifies a to-be-verified formula based on user input demand information and matches to determine the best preparation formula, and controls the preparation equipment group 1 to produce the powder metallurgy part through the PLC controller 2. The powder preparation equipment in the preparation equipment group 1 is an existing equipment, and its specific structure is not described here. The specific model of the powder preparation equipment is purchased according to the enterprise demand. The existing powder preparation production process is that the production personnel set parameters of each preparation equipment in the preparation equipment group 1 based on the performance demand of the workpiece according to the fixed process flow to control the PLC controller 2, which is time-consuming and laborious and has low production efficiency. Through the setting of the formula matching verification module 3, the formula matching and formula verification are organically combined based on the user demand information, the powder preparation formula research and development work is empowered on the basis of meeting the user workpiece performance demand, the production and research and development of the powder preparation part are organically combined and promoted, the formula verification process is simplified, the formula verification cost is saved, and the effect of effectively improving the production efficiency and product performance of the powder preparation part is achieved.

[0055] Referring to Figure 1 The formula matching verification module verifies a to-be-verified formula based on user input demand information and matches to determine the best preparation formula, and controls the preparation equipment group to produce the powder metallurgy part through the PLC controller, which specifically includes the following steps:

[0056] S1, the formula matching verification module obtains the user input requirement information, the requirement information includes performance requirement information and to be verified formula information; the performance requirement information includes one or more of workpiece shape specification, hole rate, tensile strength, hardness, density, toughness, ductility, sound insulation performance, carbon content, thermal conductivity, finish, tolerance accuracy, oil content and special characteristics, wherein the special characteristics are special properties of powder metallurgy parts caused by special materials;

[0057] S2, the formula matching verification module determines the best preparation formula based on the performance requirement information and the to-be-verified formula information; the best preparation formula includes at least one raw material information and preparation process flow information;

[0058] S3, the formula matching verification module generates raw material scheduling instructions according to the best preparation formula, and the production personnel transports the raw materials to the preparation equipment group according to the raw material scheduling instructions;

[0059] S4, the PLC controller updates and sets the parameters of the preparation equipment group according to the preparation control parameters: the formula matching verification module generates the preparation control parameters according to the preparation process flow information of the best preparation formula, and sends the preparation control parameters to the PLC controller. The PLC controller updates and sets the parameters of the preparation equipment group according to the preparation control parameters;

[0060] S5, the PLC controller controls the preparation equipment group to produce powder preparation parts meeting the user's requirements based on the preparation control instructions: the formula matching verification module generates the preparation control instructions according to the preparation process flow information of the best preparation formula and sends them to the PLC controller. The PLC controller controls the preparation equipment group to produce powder preparation parts meeting the user's requirements based on the preparation control instructions according to the preparation process flow. Based on the performance requirement information and the to-be-verified formula information of the user, the best preparation formula meeting the user's requirements is accurately matched. If the to-be-verified formula information exists in the to-be-verified formula during the scheme matching process, the formula verification is simultaneously realized, the formula matching and the formula verification are organically combined, the powder preparation formula research and development work is enabled based on meeting the user's workpiece performance requirement, the production and research and development of the powder preparation parts are organically combined, the production personnel is liberated from the tedious parameter setting and control work, the manpower and material resources are saved, the powder preparation failure rate is effectively reduced, and the powder preparation production efficiency and production quality are effectively improved.

[0061] Reference Figure 2 The formula matching verification module determines the best preparation formula based on the performance requirement information and the to-be-verified formula information, specifically including the following steps:

[0062] A1, matching and determining an existing target preparation formula: the formula matching and verifying module matches and determines an existing target preparation formula based on the performance requirement information through a pre-set formula matching model; the formula matching model is a machine learning model trained through historical formula matching data;

[0063] The specific steps of training the machine learning model are prior art and are not described here.

[0064] A2, determining whether there is a to-be-verified formula: the formula matching and verifying module determines whether there is a to-be-verified formula based on to-be-verified formula information, wherein the to-be-verified formula includes at least one of raw material information, preparation process flow information, formula performance expectation information, and formula performance qualified threshold information;

[0065] A3, if not, selecting the existing target preparation formula as the best preparation formula;

[0066] A4, if yes, simulating the to-be-verified formula, determining the performance information of the trial sample based on the simulation result;

[0067] A5, selecting the best preparation formula: calculating the comprehensive scores of the to-be-verified formula and the existing target preparation formula through a pre-set formula score calculation formula, and selecting the formula with the highest comprehensive score as the best preparation formula. Through the setting of the formula matching and verifying module, the user's performance requirement is matched to the formula scheme in the existing formula library that best meets the user's requirement as the existing target preparation formula. Then, it is determined whether there is a to-be-verified formula. The product performance of the to-be-verified formula is judged by simulation, and it is determined whether the product performance can meet the user's performance requirement. The to-be-verified formula that meets the user's performance requirement is trial-produced, and the comprehensive scores of the to-be-verified formula and the existing target preparation formula matched out are calculated based on the performance information of the trial sample, and the best preparation formula is selected. The formula matching and formula verification are organically combined. When the to-be-verified formula is the best preparation formula, it can be directly used, improving the technical updating efficiency. In addition, the formula verification can effectively save the verification cost before product production, realizing the combination of verification and production, and achieving the effect of effectively improving the powder preparation part production efficiency and product performance.

[0068] Reference Figure 3 The formula matching and verifying module matches and determines an existing target preparation formula based on performance requirement information through a pre-set formula matching model, specifically including the following steps:

[0069] B1, matching and determining at least one candidate formula meeting the performance requirement: the formula matching and verifying module matches and determines at least one candidate formula meeting the performance requirement through a pre-set formula matching model, wherein the candidate formula includes at least one of raw material information and preparation process flow information;

[0070] B2, calculating the comprehensive score of each candidate formula by a pre-set formula score calculation formula;

[0071] B3, selecting the candidate formula with the highest comprehensive score as the existing target preparation formula.

[0072] The pre-set formula score calculation formula is specifically:

[0073]

[0074] wherein O i is the performance value of the i-th performance demand item in the performance demand information of the user in the formula product performance information, Q i is the demand value of the i-th performance demand item in the performance demand information of the user, n is the total number of performance demand items in the performance demand information of the user; F is the raw material cost of producing the rated number of products, B is the rated number, G is the personnel salary cost of producing the rated number of products, H is the equipment wear and maintenance cost of producing the rated number of products, D is the pre-set cost threshold of producing the rated number of products; X is the performance score coefficient, S is the cost score coefficient, and X and S are set by the management personnel. From the performance demand information of the user, the performance score of each formula is calculated, and the production cost of each workpiece of each formula under the condition of producing the standard rated number of products is calculated. From the two dimensions of performance and cost, the score of each formula is considered, on the basis of catering to the user's demand, the powder preparation production cost and product performance are taken into account, which helps to improve the accuracy of formula matching and realize customized generation of powder preparation formula.

[0075] Referring to Figure 4 The above simulation of the to-be-verified formula based on the simulation result to determine the performance of the trial sample includes the following steps:

[0076] C1, obtaining the simulation performance information of the to-be-verified formula based on simulation;

[0077] C2, judging whether the simulation performance information of the to-be-verified formula meets the performance demand of the user based on the performance demand information;

[0078] C3, if not, outputting the simulation performance information to the formula R&D personnel for formula correction;

[0079] C4, if yes, sending the to-be-verified formula to the PLC controller to control the preparation equipment group to perform sample trial production;

[0080] C5, performing performance verification detection on the trial sample to obtain the performance information of the trial sample.

[0081] ​In addition, if there are multiple simulation performance information satisfying the user performance demand of the to-be-verified formula, the predicted performance score of each to-be-verified formula is calculated by a pre-set performance score calculation formula, the to-be-verified formulas are sorted based on the predicted performance score, and the to-be-verified formulas are sent to the PLC controller in sequence according to the order to control the sample trial production of the preparation equipment group. Through the simulation of the to-be-verified formula, the preliminary verification and screening of the to-be-verified formula are realized, and the formulas with unqualified performance and not meeting the user demand are screened out. The powder preparation production is mainly used, the formula verification is auxiliary, the formula verification work is empowered, the superiority of formula matching is improved on the basis of saving the formula verification cost, the user satisfaction is improved, which is helpful for the vigorous development of formula research and development, achieves simulation, and realizes the preliminary verification and screening of the research and development formula.

[0082] After obtaining the performance information of the trial sample, it is determined whether the formula is qualified based on the performance information of the trial sample and the simulation performance information of the formula, and the simulation performance information of the formula, the performance information of the trial sample and the determination information are sent to the formula research and development personnel. The performance information of the trial sample is compared with the expected performance information of the research and development formula to determine whether the sample meets the expected performance of the research and development formula. If it meets, it is determined that the formula is qualified. The user can mark one-way or multiple performances according to the demand, and then determine whether the formula is qualified only by the comparison result of the marked one-way or multiple performances. In order to improve the accuracy of sample performance and avoid small probability events, the number of samples can be adjusted to improve the accuracy of sample performance.

[0083] Reference Figure 5 The simulation performance information of the to-be-verified formula obtained based on the simulation of the to-be-verified formula includes the following steps:

[0084] D1, the established machine learning model is trained by historical formula verification data to obtain a performance prediction model;

[0085] D2, the raw material information and preparation process information of the to-be-verified formula are input into the performance prediction model, the performance prediction model verifies the raw material information, and determines whether there is unrecorded raw material information;

[0086] D3, if there is, it is determined that the to-be-verified formula is a new formula, the to-be-verified formula is sent to the PLC controller, and the sample trial production of the preparation equipment group is controlled; and jump to step C5

[0087] D4, if not, the performance prediction model is based on the raw material information and preparation process information of the to-be-verified formula to obtain the simulation performance information of the to-be-verified formula. The to-be-verified formula raw material components are verified, and for the to-be-verified formula containing uncollected raw materials, direct trial production is carried out to avoid simulation misjudgment and promote the vigorous development of formula research and development. In addition, after the to-be-verified formula completes sample trial production and sample detection, the to-be-verified formula verification data can be fed back to the performance prediction model, and the performance prediction model is iteratively trained, which is helpful to promote the continuous improvement of the performance prediction model.

[0088] The preset performance score calculation formula is specifically:

[0089] ;

[0090] Wherein the performance item in the performance requirement information input by the user is taken as a necessary performance requirement item, and the remaining performance items are taken as secondary performance requirement items, N1 is a necessary performance requirement score coefficient, N2 is a secondary performance requirement score coefficient, and both are set by the management personnel; L i is the simulation performance value of the i-th necessary performance requirement item, J i is the requirement value of the i-th performance requirement item in the performance requirement information of the user, K i is the performance expectation value of the i-th necessary performance requirement item in the formula performance expectation information; E i is the simulation performance value of the i-th secondary performance requirement item, T i is the qualified threshold of the i-th secondary performance requirement item in the formula performance qualified threshold information, R i is the performance expectation value of the i-th secondary performance requirement item in the formula performance expectation information, and w is the total number of secondary performance requirement items.

[0091] The above examples are only used to illustrate the technical solutions of the present application, and do not limit the protection scope of the application. Obviously, the described examples are only some of the embodiments of the present application, not all. Based on these examples, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application. Although the present application has been described in detail with reference to the above examples, those skilled in the art can still combine, delete or make other adjustments to the features in the embodiments of the present application according to the circumstances without conflict and creative labor, so as to obtain different other technical solutions which do not deviate from the concept of the present application in essence. These technical solutions also belong to the scope of the present application.

Claims

1. A powder metallurgy part preparation system, characterized in that: It includes a preparation equipment group (1) for producing powder metallurgy parts, a PLC controller (2) and a formula matching and verification module (3); the formula matching and verification module (3) verifies and matches the formula to be verified based on the user input demand information, and determines the optimal preparation formula, and controls the preparation equipment group (1) to produce powder metallurgy parts through the PLC controller (2); The formula matching and verification module (3) verifies and matches the formula to be verified based on the user's input requirements to determine the optimal preparation formula. The PLC controller (2) controls the preparation equipment group (1) to produce powder metallurgy parts. The specific steps include: The formula matching and verification module obtains the user's input requirement information, which includes performance requirement information and formula information to be verified. The performance requirement information includes one or more of the following: workpiece shape and specifications, porosity, tensile strength, hardness, density, toughness, ductility, sound insulation performance, carbon content, thermal conductivity, surface finish, tolerance accuracy, oil content, and special characteristics. The special characteristics are the special properties of powder metallurgy parts caused by special materials. The formulation matching and verification module determines the optimal preparation formulation based on the performance requirement information and the formulation information to be verified; the optimal preparation formulation includes at least one raw material information and preparation process flow information. The formula matching and verification module generates raw material scheduling instructions based on the optimal preparation formula, and production personnel then deliver the raw materials to the preparation equipment group accordingly. The formula matching and verification module generates preparation control parameters based on the preparation process flow information of the optimal preparation formula, and sends the preparation control parameters to the PLC controller. The PLC controller updates and sets the parameters of the preparation equipment group according to the preparation control parameters. The formula matching and verification module generates preparation control instructions based on the preparation process flow information of the optimal preparation formula and sends them to the PLC controller. The PLC controller controls the preparation equipment group to produce powder preparation parts that meet the user's requirements based on the preparation control instructions and the preparation process flow. The formula matching and verification module determines the optimal preparation formula based on the performance requirement information and the formula information to be verified, specifically including the following steps: The formula matching and verification module determines the existing target preparation formula based on performance requirement information and a pre-set formula matching model; the formula matching model is a machine learning model trained on historical formula matching data. The formula matching and verification module determines whether a formula to be verified exists based on the information of the formula to be verified. The formula to be verified includes at least one raw material information, preparation process information, expected formula performance information, and formula performance qualification threshold information. If it does not exist, then the existing target preparation formula shall be selected as the optimal preparation formula; If it exists, then the formula to be verified is simulated, and the performance information of the trial sample is determined based on the simulation results. The comprehensive score of the formulation to be verified and the existing target preparation formulations is calculated using a pre-set formulation scoring formula, and the formulation with the highest comprehensive score is selected as the best preparation formulation. The formula matching and verification module determines the existing target preparation formula based on performance requirement information and through a pre-set formula matching model, specifically including the following steps: The formula matching and verification module determines at least one alternative formula that meets the performance requirements by matching a pre-set formula matching model. The alternative formula includes at least one raw material information and preparation process information. The comprehensive score of each candidate formula is calculated using a pre-set formula scoring formula. The candidate formulation with the highest comprehensive score was selected as the existing target preparation formulation. The pre-set formula for calculating the formula score is as follows: ； Among them O i Q represents the performance value of the i-th performance requirement item in the performance requirement information of the corresponding user in the product performance information. i Let F be the demand value of the i-th performance requirement item in the user's performance requirement information, and n be the total number of performance requirement items in the user's performance requirement information; F is the raw material cost for producing the rated quantity of products, B is the rated quantity, G is the personnel wage cost for producing the rated quantity of products, H is the equipment wear and maintenance cost for producing the rated quantity of products, and D is the preset cost threshold for producing the rated quantity of products; X is the performance scoring coefficient, and S is the cost scoring coefficient, and both X and S are set by the management personnel.

2. The powder metallurgy part preparation system according to claim 1, characterized in that, The process of simulating the formulation to be verified and then determining the performance of the trial-produced sample based on the simulation results specifically includes the following steps: Simulations were performed on the formulation to be verified to obtain its simulated performance information. Based on performance requirement information, determine whether the simulated performance information of the formulation to be validated meets the user's performance requirements; If the requirements are not met, the simulated performance information will be output and sent to the formulation R&D personnel for formulation correction. If the conditions are met, the formula to be verified is sent to the PLC controller to control the preparation equipment group to conduct sample preparation. The performance of the prototype samples was verified and tested to obtain their performance information.

3. The powder metallurgy part preparation system according to claim 2, characterized in that, The process of obtaining the simulated performance information of the formula to be verified through simulation includes the following steps: A performance prediction model is obtained by training the established machine learning model with historical formula verification data. The raw material information and preparation process information of the formulation to be verified are input into the performance prediction model. The performance prediction model verifies the raw material information and determines whether there is any raw material information that has not been included. If it exists, the formula to be verified is determined to be a new formula, and the formula to be verified is sent to the PLC controller to control the preparation equipment group to conduct sample preparation; If not, the performance prediction model will simulate the raw material information and preparation process information of the formulation to be verified to obtain the simulated performance information of the formulation to be verified.

4. The powder metallurgy part preparation system according to claim 2, characterized in that, The step of sending the formula to be verified to the PLC controller and controlling the preparation equipment group to conduct sample trial production also includes: if there are multiple formulas to be verified whose simulated performance information meets the user's performance requirements, then the predicted performance score of each formula to be verified is calculated by a preset performance scoring calculation formula, the formulas to be verified are sorted according to the predicted performance scores, and the formulas to be verified are sent to the PLC controller in sequence to control the preparation equipment group to conduct sample trial production.

5. The powder metallurgy part preparation system according to claim 4, characterized in that, The specific formula for calculating the pre-set performance score is as follows: ； In this system, performance items from user-inputted performance requirements are designated as essential performance requirements, while the remaining performance items are designated as secondary performance requirements. N1 is the scoring coefficient for essential performance requirements, and N2 is the scoring coefficient for secondary performance requirements, both set by administrators. i J is the simulated performance value of the i-th necessary performance requirement. i K represents the required value of the i-th performance requirement item in the user's performance requirement information. i E represents the expected performance value of the i-th necessary performance requirement item in the formulation performance expectation information. i T represents the simulated performance value of the i-th secondary performance requirement. i R is the pass threshold for the i-th secondary performance requirement in the formulation performance pass threshold information. i Let w be the expected performance value of the i-th secondary performance requirement in the formulation performance expectation information, and w be the total number of secondary performance requirements.

6. The powder metallurgy part preparation system according to claim 2, characterized in that, The process of verifying the performance of the trial sample and obtaining its performance information also includes: determining whether the formula is qualified based on the performance information of the trial sample and the simulated performance information of the formula, and sending the simulated performance information of the formula, the performance information of the trial sample, and the determination information to the formula development personnel.

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