Module framework rapid checking calculation system and method based on DFMA

Abstract

The invention discloses a DFMA-based module framework rapid checking calculation system and method, and relates to the technical field of mechanical design and manufacturing, and the method comprises the steps: generating a module framework design model by combining product performance requirements and material selection initialization design parameters; by analyzing manufacturability of the module framework, manufacturing parameters are extracted, and a manufacturing complex coefficient is calculated according to the manufacturing parameters; the method comprises the following steps: extracting assembly parameters by analyzing the assembly complexity of a module frame, and calculating an assembly efficiency coefficient according to the assembly parameters; and inputting the manufacturing complexity coefficient and the assembly efficiency coefficient into a preset comprehensive checking calculation model, calculating an optimization adjustment coefficient of the module framework, and optimizing the module framework design according to the optimization adjustment coefficient. By introducing various design optimization parameters and material selection coefficients, the feasibility of manufacturing and assembling can be considered at the initial stage of design, the possibility of subsequent design modification is reduced, and the optimality and feasibility of a design scheme are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical design and manufacturing, and in particular to a DFMA-based module framework rapid calculation system and method. Background Art

[0002] With the development of modern manufacturing, the complexity and diversity of product design are increasing, and traditional design methods can no longer meet the requirements of rapid response to market demand. The concept of Design for Manufacturing and Assembly (DFMA) has gradually emerged in this context. It reduces manufacturing costs, shortens development cycles and improves product quality by considering the feasibility of manufacturing and assembly in the early stages of design.

[0003] However, the existing DFMA method mainly focuses on the design optimization of specific products or components, lacks a general and systematic module framework modeling method, and cannot efficiently handle the modular design requirements of complex products. In addition, the existing module framework design method often relies on experience or trial and error when considering product performance requirements and material selection, resulting in a long design cycle and difficulty in ensuring the optimality of the design solution. Summary of the invention

[0004] Based on the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a module framework fast verification system and method based on DFMA to solve the above-mentioned technical problems.

[0005] To achieve the above object, the present invention provides the following technical solution: a module framework fast verification method based on DFMA, comprising:

[0006] Generate a module frame design model by initializing design parameters based on product performance requirements and material selection;

[0007] By analyzing the manufacturability of the module framework, manufacturing parameters are extracted, and a manufacturing complexity coefficient is calculated according to the manufacturing parameters;

[0008] By analyzing the assembly complexity of the module frame, the assembly parameters are extracted, and the assembly efficiency coefficient is calculated according to the assembly parameters;

[0009] The manufacturing complexity coefficient and the assembly efficiency coefficient are input into a preset comprehensive verification model to calculate the optimization adjustment coefficient of the module frame, and the module frame design is optimized according to the optimization adjustment coefficient.

[0010] The present invention is further configured to generate a module framework design model by combining product performance requirements and material selection initialization design parameters, including:

[0011] Parameterizing product performance requirements, extracting key performance parameters, and calculating product performance requirement coefficients based on the key performance parameters;

[0012] parameterizing the material selection, extracting material parameters, and calculating material selection coefficients based on the material parameters;

[0013] Generate a module framework design model based on product performance requirement coefficients and material selection coefficients.

[0014] The present invention is further configured such that the calculation logic of the product performance requirement coefficient is: Among them, P total is the product performance requirement coefficient, n is the number of performance requirements, F i is the importance coefficient of the i-th performance requirement, DI i is the design complexity coefficient of the i-th performance requirement, T i is the realization time parameter of the i-th performance requirement;

[0015] The calculation logic of the material selection coefficient is: Among them, M opt is the material selection coefficient, m is the number of materials, C j is the cost coefficient of the jth material, SI j is the strength coefficient of the jth material, W j is the weight coefficient of the jth material;

[0016] The generation logic of the module framework design model is: init =∫(P total ·M opt )dx, where D init Design the model for the module framework, and dx is the variable integral in the module framework design space.

[0017] The present invention is further configured to extract manufacturing parameters by analyzing the manufacturability of the module framework, and calculate the manufacturing complexity coefficient according to the manufacturing parameters, including:

[0018] Extracting geometric parameters of the module frame, and calculating geometric feature complexity coefficients according to the geometric parameters;

[0019] Extracting characteristic parameters of material selection, and calculating material characteristic complexity coefficient according to the characteristic parameters;

[0020] The manufacturing complexity coefficient is calculated based on the geometric feature complexity coefficient and the material property complexity coefficient.

[0021] The present invention is further configured such that the calculation logic of the geometric feature complexity coefficient is: Among them, C geois the geometric characteristic complexity coefficient, V is the volume of the module frame, S is the surface area of ​​the module frame, and LO is the characteristic length of the module frame;

[0022] The calculation logic of the material property complexity coefficient is: Among them, C mat is the material property complexity coefficient, SI j is the strength coefficient of the jth material, D j is the processing difficulty of the jth material, H j is the hardness of the jth material;

[0023] The calculation logic of the manufacturing complexity coefficient is: Among them, C total To create a complex coefficient, α and β are correction coefficients, and α+β=1.

[0024] The present invention is further configured such that the calculation logic of the assembly efficiency coefficient is: Among them, E total is the assembly efficiency coefficient, p is the number of assembly steps, SS k is the weight coefficient of the kth assembly step, M k is the complexity of the kth assembly step, L k is the assembly position accuracy of the kth assembly step.

[0025] The present invention is further configured such that the construction logic of the preset comprehensive verification model includes:

[0026] Calculate quick verification value based on manufacturing complexity coefficient and assembly efficiency coefficient;

[0027] The optimization adjustment coefficient is calculated based on the quick verification value. When the optimization adjustment coefficient is larger than the tolerance range, the design parameters are reinitialized.

[0028] The present invention is further configured such that the calculation logic of the fast verification value is: V check =ln(1+C total ·E total ), where V check To quickly verify the value;

[0029] The calculation logic of the optimization adjustment coefficient is: Among them, Δ opt To optimize the adjustment factor, V target Design verification value for the target.

[0030] The present invention also provides a module framework fast verification system based on DFMA, the system comprising:

[0031] Model generation module: Initializes design parameters by combining product performance requirements and material selection to generate a module framework design model;

[0032] The first calculation module: extracts manufacturing parameters by analyzing the manufacturability of the module framework, and calculates the manufacturing complexity coefficient according to the manufacturing parameters;

[0033] The second calculation module: extracts assembly parameters by analyzing the assembly complexity of the module frame, and calculates the assembly efficiency coefficient according to the assembly parameters;

[0034] Optimization and adjustment module: by inputting the manufacturing complexity coefficient and the assembly efficiency coefficient into a preset comprehensive verification model, the optimization adjustment coefficient of the module frame is calculated, and the module frame design is optimized according to the optimization adjustment coefficient.

[0035] The present invention provides a module framework fast verification system and method based on DFMA. The method generates a module framework design model by initializing design parameters by combining product performance requirements and material selection; extracts manufacturing parameters by analyzing the manufacturability of the module framework, and calculates the manufacturing complexity coefficient according to the manufacturing parameters; extracts assembly parameters by analyzing the assembly complexity of the module framework, and calculates the assembly efficiency coefficient according to the assembly parameters; calculates the optimization adjustment coefficient of the module framework by inputting the manufacturing complexity coefficient and the assembly efficiency coefficient into a preset comprehensive verification model, and optimizes the module framework design according to the optimization adjustment coefficient. The beneficial effects produced include:

[0036] 1. Optimization of design scheme: The method of the present invention can consider the feasibility of manufacturing and assembly at the early stage of design by introducing a variety of design optimization parameters and material selection coefficients, reduce the possibility of subsequent design modifications, and ensure the optimality and feasibility of the design scheme;

[0037] 2. Enhance product performance matching: During the modeling process, the method of the present invention comprehensively considers multiple factors such as product performance requirements, material properties, and manufacturing processes, so that the generated module framework design is more in line with actual application requirements and improves the overall performance of the product;

[0038] 3. Reduce manufacturing costs: By optimizing the manufacturability and assemblability of the module frame during the design phase, the present invention can reduce the complexity and error rate during the manufacturing process, thereby effectively reducing production costs and improving production efficiency.

[0039] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0041] Figure 1 A flowchart of a DFMA-based module framework fast verification method is shown as an exemplary embodiment of the present invention;

[0042] Figure 2 The schematic diagram of the structure of a module framework fast verification system based on DFMA is shown as an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0043] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0044] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0045] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0046] Embodiment 1

[0047] A fast verification method for the module framework based on DFMA, such as Figure 1 As shown, including:

[0048] Generate a module frame design model by initializing design parameters based on product performance requirements and material selection;

[0049] By analyzing the manufacturability of the module framework, manufacturing parameters are extracted, and a manufacturing complexity coefficient is calculated according to the manufacturing parameters;

[0050] By analyzing the assembly complexity of the module frame, the assembly parameters are extracted, and the assembly efficiency coefficient is calculated according to the assembly parameters;

[0051] The manufacturing complexity coefficient and the assembly efficiency coefficient are input into a preset comprehensive verification model to calculate the optimization adjustment coefficient of the module frame, and the module frame design is optimized according to the optimization adjustment coefficient.

[0052] Specifically, at the beginning of the design, it is necessary to clarify the performance requirements and material selection of the product. The initial parameters determine the basic design form and material properties of the module frame. Based on the initial parameters, a preliminary module frame design model is generated. The present invention is further configured to generate a module frame design model by initializing the design parameters in combination with the product performance requirements and material selection, including:

[0053] The product performance requirements are parameterized, key performance parameters are extracted, and the product performance requirement coefficient is calculated according to the key performance parameters; the present invention is further configured such that the calculation logic of the product performance requirement coefficient is: Among them, P total is the product performance requirement coefficient, n is the number of performance requirements, F i is the importance coefficient of the i-th performance requirement, DI i is the design complexity coefficient of the i-th performance requirement, which is used to reflect the complexity of the design required to meet a specific performance requirement. i is the realization time parameter of the ith performance requirement; specifically, by parameterizing the product performance requirements, extracting key performance parameters, and calculating the product performance requirement coefficient based on the parameters, it is used to evaluate the effectiveness of the design in meeting the product performance requirements.

[0054] The material selection is parameterized, the material parameters are extracted, and the material selection coefficient is calculated according to the material parameters; the present invention is further configured such that the calculation logic of the material selection coefficient is: Among them, M opt is the material selection coefficient, m is the number of materials, C j is the cost coefficient of the jth material, SI j is the strength coefficient of the jth material, W j is the weight coefficient of the jth material; specifically, by analyzing the material selection, extracting the material characteristic parameters, and calculating the material selection coefficient, it is used to ensure that the selected material can meet the performance requirements while optimizing the cost and processing difficulty.

[0055] A module framework design model is generated according to the product performance requirement coefficient and the material selection coefficient; the present invention is further configured such that the generation logic of the module framework design model is: init =∫(P total ·M opt )dx, where D init is the module framework design model, dx is the variable integral in the module framework design space, which is used to integrate the parameters in the entire design space to obtain the overall design model; specifically, based on the above-calculated product performance requirement coefficient and material selection coefficient, the final module framework design model is generated by the integration method, which comprehensively considers the balance between performance requirements and material selection to ensure the optimization of the final design.

[0056] The present invention is further configured to extract manufacturing parameters by analyzing the manufacturability of the module framework, and calculate the manufacturing complexity coefficient according to the manufacturing parameters, including:

[0057] The geometric parameters of the module framework are extracted, and the geometric feature complexity coefficient is calculated according to the geometric parameters; the present invention is further configured such that the calculation logic of the geometric feature complexity coefficient is: Among them, C geo is the geometric feature complexity coefficient, V is the volume of the module frame, S is the surface area of ​​the module frame, LO is the characteristic length of the module frame, and is used to represent a typical size of the module frame, usually its most representative size. In a feasible embodiment of the present invention, it is the maximum length. Specifically, the geometric feature complexity coefficient is calculated through the geometric parameters of the module frame, including the surface area, volume and characteristic length. The geometric feature complexity coefficient reflects the complexity of the module frame in terms of geometric shape. The more complex the geometric features are, the higher the manufacturing difficulty is.

[0058] Extract the characteristic parameters of the material selection, and calculate the material characteristic complexity coefficient according to the characteristic parameters; the present invention is further configured that the calculation logic of the material characteristic complexity coefficient is: Among them, C mat is the material property complexity coefficient, SI j is the strength coefficient of the jth material, D j is the processing difficulty of the jth material, H j is the hardness of the jth material; specifically, the material property complexity coefficient is calculated through the material parameters of the module framework, and the material property complexity coefficient reflects the impact of material selection on manufacturing complexity.

[0059] The manufacturing complexity coefficient is calculated according to the geometric feature complexity coefficient and the material property complexity coefficient; the present invention is further configured such that the calculation logic of the manufacturing complexity coefficient is: Among them, C totalis the manufacturing complexity coefficient, α and β are correction coefficients, and α+β=1; specifically, the manufacturing complexity coefficient is calculated by the weighted average of the geometric feature complexity coefficient and the material property complexity coefficient. The manufacturing complexity coefficient comprehensively considers the geometric complexity and material complexity of the module frame and is an important indicator for optimal design.

[0060] The present invention is further configured such that the calculation logic of the assembly efficiency coefficient is: Among them, E total is the assembly efficiency coefficient, p is the number of assembly steps, SS k is the weight coefficient of the kth assembly step, M k is the complexity of the kth assembly step, L k is the assembly position accuracy of the kth assembly step; specifically, the assembly efficiency coefficient is calculated by analyzing the complexity, weight and accuracy of each assembly step of the module framework. The assembly efficiency coefficient is used to measure the complexity and efficiency of the overall assembly process.

[0061] The present invention is further configured such that the construction logic of the preset comprehensive verification model includes:

[0062] The rapid verification value is calculated according to the manufacturing complexity coefficient and the assembly efficiency coefficient; the present invention is further configured that the calculation logic of the rapid verification value is: V check =ln(1+C total ·E total ), where V check To quickly verify the value; specifically, the comprehensive verification model is calculated by adding the manufacturing complexity coefficient C total and assembly efficiency coefficient E total Combined together, a quick verification value V is calculated check , used to quickly evaluate the rationality and feasibility of the current design.

[0063] The optimization adjustment coefficient is calculated according to the fast verification value, and when the optimization adjustment coefficient is greater than the tolerance range, the design parameters are reinitialized; the present invention is further configured that the calculation logic of the optimization adjustment coefficient is: Among them, Δ opt To optimize the adjustment factor, V target Design the verification value for the target; specifically, based on the fast verification value V check and the target design verification value V target , calculate the optimization adjustment coefficient Δ opt When Δ optWhen the tolerance range is exceeded, the design parameters need to be readjusted to optimize the module frame design. Specifically, the problem areas in the design are identified through a comprehensive verification model. The problems include excessive manufacturing complexity, low assembly efficiency, or a combination of the two. Based on the calculation results of the optimization adjustment coefficient, it is determined which parameters need to be increased or decreased to achieve an optimized module frame design.

[0064] Embodiment 2

[0065] See also Figure 2 The exemplary DFMA-based module framework rapid verification system includes:

[0066] Model generation module: Initializes design parameters by combining product performance requirements and material selection to generate a module framework design model;

[0067] The first calculation module: extracts manufacturing parameters by analyzing the manufacturability of the module framework, and calculates the manufacturing complexity coefficient according to the manufacturing parameters;

[0068] The second calculation module: extracts assembly parameters by analyzing the assembly complexity of the module frame, and calculates the assembly efficiency coefficient according to the assembly parameters;

[0069] Optimization and adjustment module: by inputting the manufacturing complexity coefficient and the assembly efficiency coefficient into a preset comprehensive verification model, the optimization adjustment coefficient of the module frame is calculated, and the module frame design is optimized according to the optimization adjustment coefficient.

[0070] It should be noted that the DFMA-based module framework rapid verification system provided in the above embodiment and the DFMA-based module framework rapid verification method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs operations has been described in detail in the method embodiment and will not be repeated here. In actual applications, the DFMA-based module framework rapid verification system provided in the above embodiment can distribute the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0071] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0072] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0073] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0074] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0075] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0076] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0077] In the several embodiments provided in the present application, it should be understood that the disclosed system can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0078] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0079] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0080] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0081] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A fast verification method for module framework based on DFMA, characterized in that: include: Generate a modular framework design model by initializing design parameters based on product performance requirements and material selection; By analyzing the manufacturability of the module framework, manufacturing parameters are extracted, and a manufacturing complexity coefficient is calculated according to the manufacturing parameters; By analyzing the assembly complexity of the module frame, the assembly parameters are extracted, and the assembly efficiency coefficient is calculated according to the assembly parameters; The manufacturing complexity coefficient and the assembly efficiency coefficient are input into a preset comprehensive verification model to calculate the optimization adjustment coefficient of the module frame, and the module frame design is optimized according to the optimization adjustment coefficient.

2. The DFMA-based module framework rapid verification method according to claim 1 is characterized in that: Initialize design parameters by combining product performance requirements and material selection to generate a modular framework design model, including: Parameterizing product performance requirements, extracting key performance parameters, and calculating product performance requirement coefficients based on the key performance parameters; parameterizing the material selection, extracting material parameters, and calculating material selection coefficients based on the material parameters; Generate a module framework design model based on product performance requirement coefficients and material selection coefficients.

3. The DFMA-based module framework rapid verification method according to claim 2 is characterized in that: The calculation logic of the product performance requirement coefficient is: Among them, P total is the product performance requirement coefficient, n is the number of performance requirements, F i is the importance coefficient of the i-th performance requirement, DI i is the design complexity coefficient of the i-th performance requirement, T i is the realization time parameter of the i-th performance requirement; The calculation logic of the material selection coefficient is: Among them, M opt is the material selection coefficient, m is the number of materials, C j is the cost coefficient of the jth material, SI j is the strength coefficient of the jth material, W j is the weight coefficient of the jth material; The generation logic of the module framework design model is: init =∫(P total ·M opt )dx, where D init Design the model for the module framework, and dx is the variable integral in the module framework design space.

4. The DFMA-based module framework fast verification method according to claim 1 is characterized in that: By analyzing the manufacturability of the module framework, manufacturing parameters are extracted, and the manufacturing complexity coefficient is calculated according to the manufacturing parameters, including: Extracting geometric parameters of the module frame, and calculating geometric feature complexity coefficients according to the geometric parameters; Extracting characteristic parameters of material selection, and calculating material characteristic complexity coefficient according to the characteristic parameters; The manufacturing complexity coefficient is calculated based on the geometric feature complexity coefficient and the material property complexity coefficient.

5. The DFMA-based module framework rapid verification method according to claim 4 is characterized in that: The calculation logic of the geometric feature complexity coefficient is: Among them, C geo is the geometric characteristic complexity coefficient, V is the volume of the module frame, S is the surface area of ​​the module frame, and LO is the characteristic length of the module frame; The calculation logic of the material property complexity coefficient is: Among them, C mat is the material property complexity coefficient, SI j is the strength coefficient of the jth material, D j is the processing difficulty of the jth material, H j is the hardness of the jth material; The calculation logic of the manufacturing complexity coefficient is: Among them, C total To create a complex coefficient, α and β are correction coefficients, and α+β=1.

6. The DFMA-based module framework rapid verification method according to claim 1 is characterized in that: The calculation logic of the assembly efficiency coefficient is: Among them, E total is the assembly efficiency coefficient, p is the number of assembly steps, SS k is the weight coefficient of the kth assembly step, M k is the complexity of the kth assembly step, L k is the assembly position accuracy of the kth assembly step.

7. The DFMA-based module framework rapid verification method according to claim 1 is characterized in that: The construction logic of the preset comprehensive verification model includes: Calculate quick verification value based on manufacturing complexity coefficient and assembly efficiency coefficient; The optimization adjustment coefficient is calculated based on the quick verification value. When the optimization adjustment coefficient is larger than the tolerance range, the design parameters are reinitialized.

8. The DFMA-based module framework fast verification method according to claim 7 is characterized in that: The calculation logic of the fast verification value is: V check =ln(1+C total ·E total ), where V check To quickly verify the value; The calculation logic of the optimization adjustment coefficient is: Among them, Δ opt To optimize the adjustment factor, V target Design verification value for the target.

9. The module framework fast verification system based on DFMA is characterized by: include: Model generation module: Initializes design parameters by combining product performance requirements and material selection to generate a module framework design model; The first calculation module: extracts manufacturing parameters by analyzing the manufacturability of the module framework, and calculates the manufacturing complexity coefficient according to the manufacturing parameters; The second calculation module: extracts assembly parameters by analyzing the assembly complexity of the module frame, and calculates the assembly efficiency coefficient according to the assembly parameters; Optimization and adjustment module: by inputting the manufacturing complexity coefficient and the assembly efficiency coefficient into a preset comprehensive verification model, the optimization adjustment coefficient of the module frame is calculated, and the module frame design is optimized according to the optimization adjustment coefficient.

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