Composite material hot press molding manufacturing capacity evaluation method considering two-dimensional space constraint and workpiece family compatibility

Abstract

The invention relates to a composite material hot-press forming manufacturing productivity evaluation method considering two-dimensional space constraint and workpiece family compatibility. The method comprises the following steps: step 1, acquiring workpiece information and autoclave information of composite material hot-press forming manufacturing; 2, analyzing two-dimensional spatial constraints of the workpiece and the autoclave; 3, analyzing the compatibility of the workpiece family; 4, according to the two-dimensional space constraint and the workpiece family compatibility constraint, grouping the workpieces by adopting a genetic algorithm, and distributing machining equipment; 5, batch workpieces are arranged into a tank, and a machining result is obtained; and step 6, analyzing a processing result, and carrying out productivity evaluation. According to the method, the characteristics of two-dimensional space constraint, workpiece family compatibility and the like are comprehensively considered, a production plan is reasonably arranged, the hot-press forming manufacturing capacity of the composite material is efficiently evaluated, and it is ensured that the enterprise capacity can meet the customer requirement.

Description

Technical Field

[0001] The present invention relates to the technical field of aviation composite material hot pressing molding manufacturing, and in particular to a composite material hot pressing molding manufacturing capacity evaluation method considering two-dimensional space constraints and workpiece family compatibility. Background Art

[0002] Composite materials are widely used in aerospace, automobile and other high-performance engineering fields due to their high specific strength, acid and alkali corrosion resistance and other excellent properties. They are used to manufacture lightweight and high-strength parts, and the demand has surged. However, the production process of composite materials is complicated, especially the hot pressing process. The shape and process requirements of the workpiece have put forward higher requirements for composite production.

[0003] Hot press molding manufacturing is a key process in the production of composite materials, which requires the curing of prepregs. This process requires precise control of temperature, pressure and time to ensure that the workpiece meets the expected mechanical properties and quality standards. However, due to the complexity of the workpiece shape, the space limitations of the autoclave equipment, and whether the workpiece family is compatible, the capacity evaluation of hot press molding manufacturing is relatively difficult. How to reasonably arrange production plans and accurately evaluate production capacity while meeting the two-dimensional space constraints and the compatibility of the workpiece family to ensure that the company's production capacity can meet customer needs has become a key issue that needs to be urgently resolved in the current field of composite material production.

[0004] At present, the technical means of capacity assessment usually consider a relatively single resource constraint, but the manufacturing scenario of aviation composite hot pressing is complex, and a more targeted capacity assessment solution that is more in line with actual production scenarios is needed. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a method for evaluating the manufacturing capacity of composite materials by hot press forming, which takes into account two-dimensional spatial constraints and the compatibility of workpiece families. This method solves the problem that the traditional method is difficult to evaluate the manufacturing capacity of hot press forming due to the complexity of the workpiece shape, the space limitations of the autoclave equipment, and the compatibility of the workpiece families. This method considers the two-dimensional spatial constraints and the compatibility of the workpiece families, and is used to calculate the production capacity of aviation composites, so as to solve the problem of evaluating aviation composite hot press forming products.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a composite material hot pressing molding manufacturing capacity evaluation method considering two-dimensional space constraints and workpiece family compatibility, comprising the following steps:

[0007] S1. Obtaining workpiece information and autoclave information for hot pressing of composite materials;

[0008] S2, analyzing the two-dimensional spatial constraints of the workpiece and the autoclave;

[0009] S3, analyze the compatibility of the artifact family;

[0010] S4. Based on the two-dimensional space constraints and the compatibility constraints of the workpiece family, the workpieces are grouped into batches using a genetic algorithm and the processing equipment is allocated;

[0011] S5, arranging batches of workpieces into tanks and obtaining processing results;

[0012] S6. Analyze processing results and conduct capacity assessment.

[0013] Furthermore, in step S2, the workpiece information and autoclave information of the composite material hot pressing molding manufacturing are obtained, including the length and width of the workpiece, the workpiece processing time, and the process parameters of the workpiece; the specific information of the autoclave to be used is obtained, including the length and width of the autoclave.

[0014] Furthermore, in step S2, the two-dimensional spatial constraints of the workpieces and the autoclave are analyzed, specifically including: considering the geometric constraints of the aviation composite material and the autoclave, determining the optimal arrangement of the workpieces, ensuring the maximum utilization of the molding space, and describing the spatial constraints and the relative positions of the workpieces by mathematical formulas, such as Figure 2 As shown in the figure, formulas (1)-(2) ensure that the placement of workpiece j cannot exceed the range of the load platform of the equipment r; formulas (3) and (4) indicate that workpieces i and j arranged in the same batch cannot overlap in the horizontal or vertical direction; formula (5) determines the relative position of any two workpieces i and j assigned to the same batch:

[0015]

[0016]

[0017] J = {1, ..., n}: artifact set; i, j∈J: artifact index;

[0018] B = {1, ..., m}: batch set; k∈B: batch index;

[0019] R = {1, ..., e}: batch set; r∈R: device index;

[0020] L r , W r : Length and width of autoclave;

[0021] l j , w j : length and width of workpiece j,

[0022] z jkr :z jkr =1, indicating that job j is assigned to batch k of machine r; otherwise, it is 0.

[0023] o j :o j =1, indicating that the length of workpiece j is parallel to the length of the machine; otherwise, it is 0;

[0024] lf ij :lf ij =1, indicating that workpiece i is to the left of workpiece j in the same batch; otherwise, it is 0.

[0025] b ij :b ij =1, indicating that workpiece i is below workpiece j in the same batch; otherwise, it is 0.

[0026] x j : The x-coordinate of the lower left corner of workpiece j in the batch,

[0027] y j : The y coordinate of the lower left corner of workpiece j in the batch,

[0028] Furthermore, in step S3, the compatibility of the workpiece family is analyzed, specifically including: the compatibility of the workpiece family means that different workpieces require different temperatures and pressures when they are solidified, and the parts in the same batch can only be processed when the workpiece family is compatible, such as Figure 3 As shown, formula (6) ensures that at most one workpiece family can be placed in the same batch:

[0029]

[0030] Where, T = {1, ..., e}: set of artifact families; t∈T: index of artifact family, J t : A collection of artifacts of type t.

[0031] Furthermore, in step S4, according to the two-dimensional space constraint and the compatibility constraint of the workpiece family, the genetic algorithm is used to group the workpieces into batches and allocate processing equipment to ensure that the workpieces in the same batch can be processed at the same time, such as Figure 4 As shown, the specific process includes the following steps:

[0032] S41. Analyze the workpiece processing time and determine the objective function to minimize the maximum completion time minC max , where T ik is the processing time of batch k:

[0033] C max =∑ k∈K T ik #(7);

[0034] S42, adopting an encoding method based on artifact sequence, the length of each chromosome is the artifact sequence, each gene of the chromosome represents an artifact, and different artifact arrangement orders represent different scheduling schemes;

[0035] S43, determining the algorithm population size, maximum number of iterations, crossover probability and mutation probability;

[0036] S44, determine the termination condition and fitness function f: the termination condition is that the current number of iterations reaches the maximum number of iterations, the fitness value is the total completion time, and the calculation formula is:

[0037] f=∑ k∈K T ik #(8);

[0038] S45, using random coding to initialize the population and perform fitness evaluation;

[0039] S46, decoding the chromosome: first, initializing the batch information, including the batch size, batch processing time and batch process parameter type; second, classifying the workpieces according to the process parameters, traversing the workpiece sequence, and assigning the workpieces to the batches; finally, determining whether there are any unassigned workpieces;

[0040] S47, perform binary tournament selection, sequential crossover and inversion mutation operations to generate offspring populations, merge parent and child populations, and screen individuals with better fitness to form a new population, and go to step S44.

[0041] Furthermore, in step S5, the workpiece processing time is analyzed, specifically including: T ik =max{T j}, T j is the processing time of each workpiece in the batch, T ik is the processing time of batch k, T ik Determined by the workpiece with the longest processing time in the batch.

[0042] Furthermore, in step S6, the processing results are analyzed and the production capacity is evaluated. The specific process includes the following steps:

[0043] S61. Determine processing time: calculate the processing time T for each batch ik :

[0044] T ik =max{T j}#(9)

[0045] Among them, i represents different types of workpiece families, T ik is the processing time of batch k, T j is the processing time of the workpieces in batch k;

[0046] S62. Calculate the time occupied by the workpiece family:

[0047] Calculate the processing time T available for different equipment based on different working hours ir , based on the processing time and the number of equipment used to process the i-th workpiece family N i , calculate the total time occupied by the workpiece family to ensure that it is consistent with the actual processing time T of the equipment i match:

[0048]

[0049] Among them, T ik is the processing time of the kth batch, which contains N k The number of times the equipment that can process type i workpieces is N is i , i is the workpiece family type index, r is the equipment index;

[0050] S63. Calculate the number of workpieces in the same batch:

[0051] According to the two-dimensional constraints and compatibility of the workpiece family, considering the capacity limit of the equipment, calculate the number of workpieces N that can be processed in each batch k ,The processing results required in this step are obtained by genetic algorithm;

[0052] S64. Calculate the machine production capacity and equipment area utilization:

[0053] The machine production capacity Q is calculated from the sum of the number of workpieces in each batch:

[0054]

[0055] Among them, K is the set of all processed batches, N k is the number of workpieces in the kth batch;

[0056] The equipment area utilization rate R is calculated from the workpiece area and equipment area in each batch:

[0057]

[0058] Among them, K is the set of all processed batches, w j and l j represents the width and length of workpiece j, z jkr W represents workpiece j processed in batch k on machine r. r and L r represents the width and length of the machine r.

[0059] By means of the above technical solution, the present invention provides a composite material hot pressing manufacturing capacity evaluation method considering two-dimensional space constraints and workpiece family compatibility, which has at least the following beneficial effects:

[0060] The present invention comprehensively considers the two-dimensional space constraints and the compatibility of the workpiece family, and efficiently evaluates the composite material hot press molding manufacturing capacity process. This method is suitable for hot press molding of composite materials of different rectangles, and has broad application prospects in the fields of aviation, automobiles, etc. Through the technical means provided by the present invention, the hot press molding processing information can be reasonably and effectively analyzed, providing a new solution for related capacity evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0062] Figure 1 It is a flowchart of a specific implementation method;

[0063] Figure 2 is a schematic diagram of a two-dimensional spatial constraint of a specific implementation method;

[0064] Figure 3 is a compatibility diagram of a family of artifacts of a specific implementation method;

[0065] Figure 4 It is a genetic algorithm flow chart of a specific implementation method. DETAILED DESCRIPTION

[0066] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods, so as to fully understand how the present application uses technical means to solve technical problems and achieve the process of realizing technical effects.

[0067] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by hardware related to program instructions, so the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0068] Please refer to Figure 1-Figure 4, which shows a specific implementation method of this embodiment. This embodiment comprehensively considers the two-dimensional space constraints and the compatibility of the workpiece family, and efficiently evaluates the composite material hot press molding manufacturing capacity process. This method is suitable for the hot press molding of composite materials of different rectangles, and has broad application prospects in the fields of aviation, automobiles, etc. Through the technical means provided by the present invention, the hot press molding processing information can be reasonably and effectively analyzed, providing a new solution for related capacity evaluation, and improving the reasonable arrangement of production plans and accurate evaluation of production capacity under the premise of satisfying the two-dimensional space constraints and the compatibility of the workpiece family, ensuring that the enterprise's production capacity can meet customer needs.

[0069] Please refer to Figure 1 This embodiment proposes a composite material hot pressing molding manufacturing capacity evaluation method considering two-dimensional space constraints and workpiece family compatibility, and the method includes the following steps:

[0070] S1. Obtaining workpiece information and autoclave information for hot pressing of composite materials;

[0071] As a preferred implementation of step S1, in step S1, the workpiece information and autoclave information of composite material hot pressing molding are obtained, including the length and width of the workpiece, the workpiece processing time, and the process parameters of the workpiece; the specific information of the autoclave to be used is obtained, including the length and width of the autoclave.

[0072] S2, analyzing the two-dimensional spatial constraints of the workpiece and the autoclave;

[0073] As a preferred implementation of step S2, in step S2, the two-dimensional spatial constraints of the workpieces and the autoclave are analyzed, specifically including: considering the geometric limitations of the aviation composite material and the autoclave, determining the optimal arrangement of the workpieces, ensuring the maximum utilization of the molding space, and describing the spatial constraints and the relative positions between the workpieces by mathematical formulas. Formulas (1)-(2) ensure that the placement of the workpiece j cannot exceed the range of the carrying platform of the equipment r; Formulas (3) and (4) indicate that the workpieces i and j arranged in the same batch cannot overlap in the horizontal or vertical direction; Formula (5) determines the relative positions of any two workpieces i and j assigned to the same batch:

[0074]

[0075] J = {1, ..., n}: artifact set; i, j∈J: artifact index;

[0076] B = {1, ..., m}: batch set; k∈B: batch index;

[0077] R = {1, ..., e}: batch set; r∈R: device index;

[0078] L r, W r : Length and width of autoclave;

[0079] l j , w j : length and width of workpiece j,

[0080] z jkr :z jkr =1, indicating that job j is assigned to batch k of machine r; otherwise, it is 0.

[0081] o j :o j =1, indicating that the length of workpiece j is parallel to the length of the machine; otherwise, it is 0;

[0082] lf ij :lf ij =1, indicating that workpiece i is to the left of workpiece j in the same batch; otherwise, it is 0.

[0083] b ij :b ij =1, indicating that workpiece i is below workpiece j in the same batch; otherwise, it is 0.

[0084] x j : The x-coordinate of the lower left corner of workpiece j in the batch,

[0085] y j : The y coordinate of the lower left corner of workpiece j in the batch,

[0086] S3, analyze the compatibility of the artifact family;

[0087] As a preferred implementation of step S3, in step S3, the compatibility of the workpiece family is analyzed, specifically including: the compatibility of the workpiece family means that different workpieces require different temperatures and pressures when solidifying, and the parts and workpiece families in the same batch can only be processed when they are compatible. Formula (6) ensures that at most one workpiece family can be placed in the same batch:

[0088]

[0089] Where, T = {1, ..., e}: set of artifact families; t∈T: index of artifact family, J t : A collection of artifacts of type t.

[0090] S4. Based on the two-dimensional space constraints and the compatibility constraints of the workpiece family, the workpieces are grouped into batches using a genetic algorithm and the processing equipment is allocated;

[0091] As a preferred implementation of step S4, in step S4, according to the two-dimensional space constraint and the workpiece family compatibility constraint, a genetic algorithm is used to group the workpieces and allocate processing equipment. The specific process includes the following steps:

[0092] S41. Analyze the workpiece processing time and determine the objective function to minimize the maximum completion time minC max , where T ik is the processing time of batch k:

[0093] C max =∑ k∈K T ik #(7);

[0094] S42, adopting an encoding method based on artifact sequence, the length of each chromosome is the artifact sequence, each gene of the chromosome represents an artifact, and different artifact arrangement orders represent different scheduling schemes;

[0095] S43, determining the algorithm population size, maximum number of iterations, crossover probability and mutation probability;

[0096] S44, determine the termination condition and fitness function f: the termination condition is that the current number of iterations reaches the maximum number of iterations gen> max_gen, the fitness value is the total completion time, and the calculation formula is:

[0097] f=∑ k∈K T ik #(8);

[0098] S45, using random coding to initialize the population and perform fitness evaluation;

[0099] S46, decoding the chromosome and calculating the target value: first, initializing the batch information, including the batch size, batch processing time and batch process parameter type; second, classifying the workpieces according to the process parameters, traversing the workpiece sequence, and assigning the workpieces to the batches; finally, determining whether there are any unassigned workpieces;

[0100] S47, perform binary tournament selection, sequential crossover and inversion mutation operations to generate offspring populations, merge parent and child populations, and screen individuals with better fitness to form a new population, and go to step S44.

[0101] S5, arranging batches of workpieces into tanks and obtaining processing results;

[0102] More specifically, the analysis of the workpiece processing time includes: T ik =max{T j}, T j is the processing time of each workpiece in the batch, Tik is the processing time of batch k, T ik Determined by the workpiece with the longest processing time in the batch.

[0103] S6. Analyze processing results and conduct capacity assessment.

[0104] As a preferred implementation of step S6, in step S6, the processing results are analyzed and the production capacity is evaluated. The specific process includes the following steps:

[0105] S61. Determine processing time: calculate the processing time T for each batch ik :

[0106] T ik =max{T j}#(9)

[0107] Among them, i represents different types of workpiece families, T ik is the processing time of batch k, T j is the processing time of workpieces in batch k;

[0108] S62. Calculate the time occupied by the workpiece family:

[0109] Calculate the processing time T available for different equipment based on different working hours ir , based on the processing time and the number of equipment used to process the i-th workpiece family N i , calculate the total time occupied by the workpiece family to ensure that it is consistent with the actual processing time T of the equipment i match:

[0110]

[0111] Among them, T ik is the processing time of the kth batch, which contains N k The number of times the equipment that can process type i workpieces is N is i , i is the workpiece family type index, r is the equipment index;

[0112] S63. Calculate the number of workpieces in the same batch:

[0113] According to the two-dimensional constraints and compatibility of the workpiece family, considering the capacity limit of the equipment, calculate the number of workpieces N that can be processed in each batch k ,The processing results required in this step are obtained by genetic algorithm;

[0114] S64. Calculate the machine production capacity and equipment area utilization:

[0115] The machine production capacity Q is calculated from the sum of the number of workpieces in each batch:

[0116]

[0117] Where K is the set of all processed batches, N k is the number of workpieces in the kth batch;

[0118] The equipment area utilization rate R is calculated from the workpiece area and equipment area in each batch:

[0119]

[0120] Among them, K is the set of all processed batches, w j and l j represents the width and length of workpiece j, z jkr W represents workpiece j processed in batch k on machine r. r and L r represents the width and length of the machine r.

[0121] The following is an example of a hot pressing process manufacturing process, and the method of the present invention is combined to perform capacity evaluation. As shown in Table 1, the workpiece information of a certain curing group in the factory is selected, where the process parameters (temperature and pressure) are represented by symbols A1, A2, etc., and the information of the autoclave responsible for processing the curing group is shown in Table 2.

[0122] Table 1 Workpiece information

[0123]

[0124]

[0125] Table 2 Autoclave information

[0126]

[0127] Apply formulas (1)-(6) to process the above information to obtain equipment allocation and batch arrangement. Apply formula (10) to obtain the actual processing time of each batch, as shown in Table 3.

[0128] Table 3 Batch plan and processing results

[0129]

[0130]

[0131] As shown in Table 3, among this batch of workpieces, equipment 1 needs to process 6 batches, the processing time is 54h, and a total of 16 workpieces are processed. The space utilization rate of the equipment is 51.92%; equipment 2 needs to process 4 batches, the processing time is 33h, and a total of 5 workpieces are processed. The space utilization rate of the equipment is 71.16%; equipment 3 needs to process 4 batches, the processing time is 44h, and a total of 9 workpieces are processed. The space utilization rate of the equipment is 63.78%.

[0132] Considering weekly plans, monthly plans and different shifts, the working hours of each device are calculated, as shown in Table 4 below.

[0133] Table 4 Working hours information

[0134]

[0135] Based on the above data, formula (8) and formula (9) are used to calculate the production capacity of each equipment, as shown in Table 5.

[0136] Table 5 Capacity evaluation

[0137]

[0138] In summary, the present invention comprehensively considers the two-dimensional space constraints and the compatibility of the workpiece family, and efficiently evaluates the composite material hot press molding manufacturing capacity process. This method is suitable for the hot press molding of composite materials of different rectangles, and has broad application prospects in the fields of aviation, automobiles, etc. Through the technical means provided by the present invention, the hot press molding processing information can be reasonably and effectively analyzed, providing a new solution for the relevant capacity evaluation. On the premise of satisfying the two-dimensional space constraints and the compatibility of the workpiece family, the production plan can be reasonably arranged, the production capacity can be accurately evaluated, and it can be ensured that the enterprise's production capacity can meet customer needs.

[0139] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0140] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processor or other system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

[0141] The above implementation methods have been described in detail. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A composite material hot pressing molding manufacturing capacity evaluation method considering two-dimensional space constraints and workpiece family compatibility, characterized in that: The following steps are involved: S1. Obtaining workpiece information and autoclave information for hot pressing of composite materials; S2, analyzing the two-dimensional spatial constraints of the workpiece and the autoclave; S3, analyze the compatibility of the artifact family; S4. Based on the two-dimensional space constraints and the compatibility constraints of the workpiece family, the workpieces are grouped into batches using a genetic algorithm and the processing equipment is allocated; S5, arranging batches of workpieces into tanks and obtaining processing results; S6. Analyze processing results and conduct capacity assessment.

2. The method for evaluating the manufacturing capacity of composite material hot pressing molding considering two-dimensional space constraints and workpiece family compatibility according to claim 1, characterized in that: In step S1, the workpiece information and autoclave information of composite material hot pressing molding are obtained, including the length and width of the workpiece, the workpiece processing time, and the process parameters of the workpiece; the specific information of the autoclave to be used is obtained, including the length and width of the autoclave.

3. The method for evaluating the manufacturing capacity of composite material hot pressing molding considering two-dimensional space constraints and workpiece family compatibility according to claim 1, characterized in that: In step S2, the two-dimensional spatial constraints of the workpieces and the autoclave are analyzed, specifically including: considering the geometric limitations of the aviation composite material and the autoclave, determining the optimal arrangement of the workpieces, ensuring the maximum utilization of the molding space, and describing the spatial constraints and the relative positions of the workpieces by mathematical formulas. Formulas (1)-(2) ensure that the placement of workpiece j cannot exceed the range of the carrying platform of the equipment r; Formulas (3) and (4) indicate that workpieces i and j arranged in the same batch cannot overlap in the horizontal or vertical direction; Formula (5) determines the relative positions of any two workpieces i and j assigned to the same batch: J = {1, ..., n}: artifact set; i, j∈J: artifact index; B = {1, ..., m}: batch set; k∈B: batch index; R = {1, ..., e}: batch set; r∈R: device index; L, W r : Length and width of autoclave; l j , w j : length and width of workpiece j, z jkr :z jkr =1, indicating that job j is assigned to batch k of machine r; otherwise, it is 0. o j :o j =1, indicating that the length of workpiece j is parallel to the length of the machine; otherwise, it is 0; lf ij :lf ij =1, indicating that workpiece i is to the left of workpiece j in the same batch; otherwise, it is 0. b ij :b ij =1, indicating that workpiece i is below workpiece j in the same batch; otherwise, it is 0. x j : The x-coordinate of the lower left corner of workpiece j in the batch, y j : The y coordinate of the lower left corner of workpiece j in the batch, 4. The method for evaluating the manufacturing capacity of composite material hot pressing molding considering two-dimensional space constraints and workpiece family compatibility according to claim 3, characterized in that: In step S3, the compatibility of the workpiece family is analyzed, including: the compatibility of the workpiece family means that different workpieces require different temperatures and pressures when solidifying. The parts in the same batch can only be processed when the workpiece families are compatible. Formula (6) ensures that at most one workpiece family can be placed in the same batch: Where, T = {1, ..., e}: set of artifact families; t∈T: index of artifact family, J t : A collection of artifacts of type t.

5. The method for evaluating the manufacturing capacity of composite material hot pressing molding considering two-dimensional space constraints and workpiece family compatibility according to claim 1, characterized in that: In step S4, according to the two-dimensional space constraint and the compatibility constraint of the workpiece family, the genetic algorithm is used to group the workpieces and allocate processing equipment. The specific process includes the following steps: S41. Analyze the workpiece processing time and determine the objective function to minimize the maximum completion time minC max , where T ik is the processing time of batch k: C max =∑ k∈K T ik #(7); S42, adopting an encoding method based on artifact sequence, the length of each chromosome is the artifact sequence, each gene of the chromosome represents an artifact, and different artifact arrangement orders represent different scheduling schemes; S43, determining the algorithm population size, maximum number of iterations, crossover probability and mutation probability; S44, determine the termination condition and fitness function f: the termination condition is that the current number of iterations reaches the maximum number of iterations, the fitness value is the total completion time, and the calculation formula is: f=∑ k∈K T ik #(8); S45, using random coding to initialize the population and perform fitness evaluation; S46, decoding the chromosome: first, initializing the batch information, including the batch size, batch processing time and batch process parameter type; second, classifying the workpieces according to the process parameters, traversing the workpiece sequence, and assigning the workpieces to the batches; finally, determining whether there are any unassigned workpieces; S47, perform binary tournament selection, sequential crossover and inversion mutation operations to generate offspring populations, merge parent and child populations, and screen individuals with better fitness to form a new population, and go to step S44.

6. The method for evaluating the manufacturing capacity of composite material hot pressing molding considering two-dimensional space constraints and workpiece family compatibility according to claim 5, characterized in that: In step S5, the workpiece processing time is analyzed, including: T ik =max{T j }, T j is the processing time of each workpiece in the batch, T ik is the processing time of batch k, T ik Determined by the workpiece with the longest processing time in the batch.

7. The method for evaluating the manufacturing capacity of composite material hot pressing molding considering two-dimensional space constraints and workpiece family compatibility according to claim 1, characterized in that: In step S6, the processing results are analyzed and the production capacity is evaluated. The specific process includes the following steps: S61. Determine processing time: calculate the processing time T for each batch ik : T ik =max{T j }#(9) Among them, i represents different types of workpiece families, T ik is the processing time of batch k, T j is the processing time of each workpiece in batch k; S62. Calculate the time occupied by the workpiece family: Calculate the processing time T available for different equipment based on different working hours ir , based on the processing time and the number of equipment used to process the i-th workpiece family N i , calculate the total time occupied by the workpiece family to ensure that it is consistent with the actual processing time T of the equipment i match: Among them, T ik is the processing time of the kth batch, which contains N k The number of times the equipment that can process type i workpieces is N is i , i is the workpiece family type index, r is the equipment index; S63. Calculate the number of workpieces in the same batch: According to the two-dimensional constraints and compatibility of the workpiece family, considering the capacity limit of the equipment, calculate the number of workpieces N that can be processed in each batch k , the processing results required in this step are obtained by genetic algorithm; S64. Calculate the machine production capacity and equipment area utilization: The machine production capacity Q is calculated from the sum of the number of workpieces in each batch: Where K is the set of all processed batches, N k is the number of workpieces in the kth batch; The equipment area utilization rate R is calculated from the workpiece area and equipment area in each batch: Among them, K is the set of all processed batches, w j and l j represents the width and length of workpiece j, z jkr W represents workpiece j processed in batch k on machine r. r and L r represents the width and length of the machine r.

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