Structure optimization method and device of sealing rubber strip, electronic equipment and storage medium

Abstract

The invention discloses a structure optimization method and device of a sealing rubber strip, electronic equipment and a storage medium. The method comprises the steps that a topological optimization model of the sealing rubber strip structure is constructed, and the topological optimization model of the sealing rubber strip structure comprises an objective function and constraint conditions; and based on an Arrhenius model, carrying out iterative solution on the objective function and the constraint condition of the topological optimization model of the sealing rubber strip structure to obtain the shape information of the objective optimization structure of the sealing rubber strip. According to the technical scheme, the Arrhenius model is fitted into the design process of structure optimization, the problem of the aging life of the sealing rubber strip is considered in the design iteration process, and the target optimization structure shape meeting the permanent compression deformation requirement of the sealing rubber strip is iterated. And compared with a current commonly-adopted sealing rubber strip design method of firstly designing and then predicting the service life, the tedious process that design modification is carried out after verification is not passed is avoided, and the efficiency and accuracy of sealing rubber strip design are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sealing strip design, and in particular to a structural optimization method, device, electronic equipment and storage medium for a sealing strip. Background Art

[0002] During the design process of sealing strips, the current design does not take into account the nonlinear aging factors of the sealing strips. Instead, it is evaluated in subsequent verification. If the life assessment fails, the design will be modified. This results in a long design cycle for the sealing strips, an inability to respond to design requirements and existing problems in a timely manner, and low design efficiency. Summary of the Invention

[0003] The present invention provides a structural optimization method, device, electronic device and storage medium for a sealing strip, so as to improve the design efficiency and accuracy of the sealing strip.

[0004] According to one aspect of the present invention, a method for optimizing the structure of a sealing strip is provided, comprising:

[0005] Constructing a topology optimization model of the sealing strip structure, wherein the topology optimization model of the sealing strip structure includes an objective function and constraint conditions;

[0006] Based on the Arrhenius model, the objective function and constraint conditions of the topology optimization model of the sealing strip structure are iteratively solved to obtain the target optimized structural shape information of the sealing strip.

[0007] According to another aspect of the present invention, a structure optimization device for a sealing strip is provided, comprising:

[0008] A topology optimization model building module for a sealing strip structure, used to build a topology optimization model of the sealing strip structure, wherein the topology optimization model of the sealing strip structure includes an objective function and constraint conditions;

[0009] The target optimized structural shape determination module of the sealing strip is used to iteratively solve the objective function and constraint conditions of the topological optimization model of the sealing strip structure based on the Arrhenius model to obtain the target optimized structural shape information of the sealing strip.

[0010] According to another aspect of the present invention, an electronic device is provided, comprising:

[0011] at least one processor;

[0012] and a memory communicatively coupled to the at least one processor;

[0013] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the structural optimization method of the sealing strip described in any embodiment of the present invention.

[0014] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the structural optimization method of the sealing strip according to any embodiment of the present invention when executed.

[0015] The technical solution of the embodiment of the present invention is to construct a topological optimization model of the sealing strip structure, and then iteratively solve the objective function and constraint conditions of the topological optimization model of the sealing strip structure based on the Arrhenius model to obtain the target optimized structural shape information of the sealing strip. The above technical solution fits the Arrhenius model into the design process of structural optimization, considers the problem of the aging life of the sealing strip in the process of design iteration, and iteratively obtains the target optimized structural shape that meets the permanent compression deformation requirements of the sealing strip. Compared with the currently commonly used sealing strip design method of first designing and then predicting the life span, it avoids the tedious process of modifying the design after verification fails, and effectively improves the efficiency and accuracy of the sealing strip design.

[0016] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of 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.

[0018] Figure 1 This is a flow chart of a method for optimizing the structure of a sealing strip provided in accordance with the first embodiment of the present invention;

[0019] Figure 2 This is a flow chart of a method for optimizing the structure of a sealing strip provided in accordance with a second embodiment of the present invention;

[0020] Figure 3 This is a flow chart of a method for optimizing the structure of a sealing strip provided in accordance with a third embodiment of the present invention;

[0021] Figure 4Schematic diagram of the structural cross-section boundary and load of a sealing strip provided according to an embodiment of the present invention;

[0022] Figure 5 This is a flow chart of a method for optimizing the structure of a sealing strip provided in accordance with an embodiment of the present invention;

[0023] Figure 6 is a schematic diagram of simulation results of structural optimization of a sealing strip provided by an embodiment of the present invention;

[0024] Figure 7 is a schematic cross-sectional view of a sealing strip after structural optimization according to an embodiment of the present invention;

[0025] Figure 8 This is a schematic structural diagram of a sealing strip structure optimization device provided according to a fourth embodiment of the present invention;

[0026] Figure 9 It is a structural schematic diagram of an electronic device for implementing the structural optimization method of a sealing strip according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0029] Example 1

[0030] Figure 1This is a flow chart of a method for optimizing the structure of a sealing strip provided in the first embodiment of the present invention. This embodiment is applicable to the case of optimizing the structural shape of a sealing strip. The method can be executed by a structural optimization device for a sealing strip. The structural optimization device for a sealing strip can be implemented in the form of hardware and / or software. The structural optimization device for a sealing strip can be configured in electronic devices such as terminals and servers. Figure 1 As shown, the method includes:

[0031] S110 , constructing a topology optimization model of the sealing strip structure, wherein the topology optimization model of the sealing strip structure includes an objective function and constraint conditions.

[0032] Among them, the topology optimization model refers to an optimization model that converts the optimal structural layout problem into an optimization model that achieves the optimal distribution of sealing strips within a given design optimization range. It may include an objective function and constraints. The objective function and constraints are used to iteratively optimize the structural shape of the sealing strip. The structural shape can be the structural cross-sectional shape of the sealing strip or the shape of other structural positions, which is not specifically limited here.

[0033] Specifically, the electronic device can construct a topology optimization model of the sealing strip structure in response to the objective function and constraint conditions input by the user through an input device such as a keyboard or a mouse.

[0034] S120. Based on the Arrhenius model, iteratively solve the objective function and constraint conditions of the topology optimization model of the sealing strip structure to obtain target optimized structural shape information of the sealing strip.

[0035] Among them, the Arrhenius model is used to describe the effect of temperature on the reaction rate or aging of rubber materials. In other words, the aging reaction rate or life of the sealing strip can be predicted by the Arrhenius model. Furthermore, the solution in the iterative process of the topology optimization model can be screened according to the aging reaction rate of the sealing strip, so that the optimal structural shape of the sealing strip can be screened from the solution of the topology optimization model. The target optimized structural shape information refers to the geometric parameters of the optimal structural cross-sectional shape of the sealing strip, which may include but is not limited to the length, height and width of the structural cross-sectional shape, etc., and is not specifically limited here.

[0036] Specifically, the Arrhenius model is fitted into the structural optimization design process. The aging life of the sealing strip is taken into account during the iterative solution of the topology optimization model, and the target optimized structural shape that meets the permanent compression deformation requirements of the sealing strip is iteratively obtained. Permanent compression deformation refers to the irreversible deformation of the rubber material under long-term compression conditions.

[0037] The technical solution of the embodiment of the present invention is to construct a topological optimization model of the sealing strip structure, and then iteratively solve the objective function and constraint conditions of the topological optimization model of the sealing strip structure based on the Arrhenius model to obtain the target optimized structural shape information of the sealing strip. The above technical solution fits the Arrhenius model into the design process of structural optimization, considers the problem of the aging life of the sealing strip in the process of design iteration, and iteratively obtains the target optimized structural shape that meets the permanent compression deformation requirements of the sealing strip. Compared with the currently commonly used sealing strip design method of first designing and then predicting the life span, it avoids the tedious process of modifying the design after verification fails, and effectively improves the efficiency and accuracy of the sealing strip design.

[0038] Example 2

[0039] Figure 2 A flowchart of a structural optimization method for a sealing strip provided in the second embodiment of the present invention, the method of this embodiment can be combined with the various optional schemes in the structural optimization method for the sealing strip provided in the above embodiments. The structural optimization method for the sealing strip provided in this embodiment is further optimized. Optionally, based on the Arrhenius model, the objective function and constraint conditions of the topology optimization model of the sealing strip structure are iteratively solved to obtain the target optimized structural shape information of the sealing strip, including: for any iteration, the objective function and constraint conditions of the topology optimization model of the sealing strip structure are solved to obtain the current optimized structural shape information of the sealing strip under the current iteration; based on the Arrhenius model, the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip under the current iteration is determined; when the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip under the current iteration is greater than a preset compression permanent deformation rate threshold, the iteration is terminated, and the current optimized structural shape information of the sealing strip under the current iteration is used as the target optimized structural shape information of the sealing strip.

[0040] like Figure 2 As shown, the method includes:

[0041] S210: Construct a topology optimization model of the sealing strip structure, wherein the topology optimization model of the sealing strip structure includes an objective function and constraint conditions.

[0042] S220 , for any iteration, solving the objective function and constraint conditions of the topology optimization model of the sealing strip structure to obtain the current optimized structural shape information of the sealing strip in the current iteration.

[0043] S230: Determine the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration based on the Arrhenius model.

[0044] S240. When the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration is greater than a preset compression permanent deformation rate threshold, end the iteration and use the current optimized structural shape information of the sealing strip in the current iteration as the target optimized structural shape information of the sealing strip.

[0045] It can be understood that in the process of iteratively solving the topological optimization model of the sealing strip structure, each iteration can obtain the optimized structural shape information of the sealing strip, and then a sensitivity analysis can be performed based on the Arrhenius model to obtain the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration, and then judge whether the structural optimization of the sealing strip is completed based on the compression permanent deformation rate.

[0046] For example, the objective function may be:

[0047] minJ=F T U;

[0048] Wherein, J represents the structural flexibility of the sealing strip, F represents the maximum stress allowed by the sealing strip design, and U represents the displacement vector;

[0049] Constraints can be:

[0050]

[0051] Among them, K represents the stiffness matrix, ε represents the compression permanent deformation rate, V represents the volume of the sealing strip, m represents the compression rate of the sealing strip, R represents the fillet radius of the sealing strip, ρ i Represents the i-th geometric parameter in the optimized structural shape information of the sealing strip.

[0052] The formula for determining the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip under the current iteration based on the Arrhenius model can be:

[0053] ε=ε0e -kt ;

[0054] k=Ae -E / (RT) ;

[0055] Among them, ε represents the compression permanent deformation rate corresponding to the current optimized structural shape information, ε0 represents the initial compression permanent deformation rate, k represents the aging reaction rate corresponding to the current optimized structural shape information of the sealing strip under the current iteration, t represents the aging time, E represents the activation energy of the failure mechanism, A represents the frequency factor, R represents the Boltzmann constant, and T represents the temperature.

[0056] If the compression set corresponding to the currently optimized structural shape information is greater than 32%, the iteration ends and the currently optimized structural shape information is used as the target optimized structural shape information for the sealing strip. If the compression set corresponding to the currently optimized structural shape information is less than 32%, the calculation ends after all iterations are completed.

[0057] The technical solution of the embodiment of the present invention fits the Arrhenius model into the design process of structural optimization, determines the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration based on the Arrhenius model, and iterates the target optimized structural shape that meets the permanent compression deformation requirements of the sealing strip. Compared with the currently commonly used design method of first designing and then predicting the life span, this avoids the tedious process of modifying the design after verification fails, and effectively improves the design efficiency and accuracy.

[0058] Example 3

[0059] Figure 3 This is a flow chart of a method for structural optimization of a sealing strip provided in the third embodiment of the present invention. The method of this embodiment can be combined with the various optional schemes in the method for structural optimization of the sealing strip provided in the above embodiments. The method for structural optimization of the sealing strip provided in this embodiment has been further optimized. Optionally, after solving the objective function and constraint conditions of the topological optimization model of the sealing strip structure and obtaining the target optimized structural shape information of the sealing strip, it also includes: performing an airtightness test on the sealing strip corresponding to the target optimized structural shape information to obtain the airtightness test result of the sealing strip corresponding to the target optimized structural shape information.

[0060] like Figure 3 As shown, the method includes:

[0061] S310: Construct a topology optimization model of the sealing strip structure, wherein the topology optimization model of the sealing strip structure includes an objective function and constraint conditions.

[0062] S320: Based on the Arrhenius model, iteratively solve the objective function and constraint conditions of the topology optimization model of the sealing strip structure to obtain target optimized structural shape information of the sealing strip.

[0063] S330: Perform an airtightness test on the sealing strip corresponding to the target optimized structural shape information to obtain an airtightness test result of the sealing strip corresponding to the target optimized structural shape information.

[0064] Among them, the airtightness test is used to verify the airtightness of the sealing strip corresponding to the target optimized structural shape information to evaluate the reliability of the sealing strip.

[0065] For example, after obtaining the target optimized structural shape information, an O-ring sealing strip with the target optimized structural shape can be processed and placed in an airtightness testing device for airtightness testing. The airtightness test results are shown in Table 1.

[0066] Table 1

[0067] Number of tests 1 2 3 Test results / Pa 1.5 2.1 1.8

[0068] The technical solution of the embodiment of the present invention realizes the evaluation of the optimized designed sealing strip by performing an airtightness test on the sealing strip corresponding to the target optimized structural shape information.

[0069] Based on the above embodiment, optionally, the sealing strip is a sealing strip for a metal bipolar plate of a hydrogen fuel cell.

[0070] Illustratively, an embodiment of the present invention performs topological optimization of a hydrogen fuel cell metal bipolar plate sealing strip coupled with an Arrhenius model to obtain an optimized structural cross-sectional shape of the hydrogen fuel cell metal bipolar plate sealing strip. Figure 4 : is a schematic diagram of the structural cross-section boundary and load of a sealing strip provided according to an embodiment of the present invention, such as Figure 4 As shown in the figure, the entire rectangular section is the area that needs to be optimized. A fixed constraint is applied to the bottom of the rectangular section and a load F1 is applied to the upper part of the rectangular section, 200N<F1<2500N; the plate materials include titanium alloy, stainless steel 316L, stainless steel 304 and aluminum alloy; the sealing strip materials include silicone rubber, fluororubber, EPDM rubber and nitrile rubber, etc., and the hardness value range is 35<HA<85.

[0071] Among them, the sealing strip material uses the Mooney-Rivlin model:

[0072] W=C 10 (I1-3)+C 01 (I2-3);

[0073] Where W represents the strain potential energy, I1 and I2 are the first strain invariant and the second strain invariant respectively; C 01 and C 10 C is the material parameter in the Mooney-Rivlin model, and its unit is MPa. 01 and C 10 It is related to the material hardness HA, and the specific formula is as follows:

[0074]

[0075] Among them, 14≤a1≤16, 1.5≤b1≤3.2, 90≤c1≤110.

[0076] Figure 5 FIG. 1 is a flow chart of a method for optimizing the structure of a sealing strip according to an embodiment of the present invention. Figure 5 As shown, based on the optimization area and material parameters of the above-mentioned sealing strip, the structure to be optimized is iteratively designed to obtain the objective function; the constraints required for the design of the sealing strip are constructed; a topological optimization model of the sealing strip structure is constructed based on the objective function and the constraints; and then a sensitivity analysis is performed based on the Arrhenius model to obtain the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip under the current iteration, and it is analyzed whether the compression permanent deformation rate meets the compression permanent deformation requirement. When the compression permanent deformation rate meets the compression permanent deformation requirement, the optimized structural cross-sectional shape of the sealing strip is obtained. Figure 6 is a schematic diagram of simulation results of structural optimization of a sealing strip provided by an embodiment of the present invention, Figure 7 is a cross-sectional schematic diagram of a sealing strip after structural optimization according to an embodiment of the present invention, Figure 6 and Figure 7 It can be seen that the cross-section after structural optimization is more reasonable, and the stress provided by the sealing strip is greater than 1.2MPa, which can achieve effective sealing. Therefore, the structural optimization method of the sealing strip in the present invention can achieve the multiple effects of optimizing the sealing structure shape, meeting the sealing requirements, and reducing production costs.

[0077] Example 4

[0078] Figure 8 This is a schematic diagram of a structural optimization device for a sealing strip provided by the fourth embodiment of the present invention. Figure 8 As shown, the device includes:

[0079] A topology optimization model building module 410 for a sealing strip structure is used to build a topology optimization model for the sealing strip structure, wherein the topology optimization model for the sealing strip structure includes an objective function and constraint conditions;

[0080] The target optimized structural shape determination module 420 of the sealing strip is used to iteratively solve the objective function and constraint conditions of the topological optimization model of the sealing strip structure based on the Arrhenius model to obtain the target optimized structural shape information of the sealing strip.

[0081] The technical solution of the embodiment of the present invention is to construct a topological optimization model of the sealing strip structure, and then iteratively solve the objective function and constraint conditions of the topological optimization model of the sealing strip structure based on the Arrhenius model to obtain the target optimized structural shape information of the sealing strip. The above technical solution fits the Arrhenius model into the design process of structural optimization, considers the problem of the aging life of the sealing strip in the process of design iteration, and iteratively obtains the target optimized structural shape that meets the permanent compression deformation requirements of the sealing strip. Compared with the currently commonly used sealing strip design method of first designing and then predicting the life span, it avoids the tedious process of modifying the design after verification fails, and effectively improves the efficiency and accuracy of the sealing strip design.

[0082] In some optional embodiments, the target optimized structural shape determination module 420 of the sealing strip may be specifically used to:

[0083] For any iteration, solving the objective function and constraint conditions of the topology optimization model of the sealing strip structure to obtain the current optimized structural shape information of the sealing strip in the current iteration;

[0084] Determine the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration based on the Arrhenius model;

[0085] When the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration is greater than the preset compression permanent deformation rate threshold, the iteration is ended and the current optimized structural shape information of the sealing strip in the current iteration is used as the target optimized structural shape information of the sealing strip.

[0086] In some optional implementations, the objective function is:

[0087] minJ=F T U;

[0088] Wherein, J represents the structural flexibility of the sealing strip, F represents the maximum stress allowed by the sealing strip design, and U represents the displacement vector;

[0089] The constraints are:

[0090]

[0091] Among them, K represents the stiffness matrix, ε represents the compression permanent deformation rate, V represents the volume of the sealing strip, m represents the compression rate of the sealing strip, R represents the fillet radius of the sealing strip, ρ i Represents the i-th geometric parameter in the optimized structural shape information of the sealing strip.

[0092] In some optional embodiments, the formula for determining the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration based on the Arrhenius model is:

[0093] ε=ε0e -kt ;

[0094] k=Ae -E / (RT) ;

[0095] Among them, ε represents the compression permanent deformation rate corresponding to the current optimized structural shape information, ε0 represents the initial compression permanent deformation rate, k represents the aging reaction rate corresponding to the current optimized structural shape information of the sealing strip under the current iteration, t represents the aging time, E represents the activation energy of the failure mechanism, A represents the frequency factor, R represents the Boltzmann constant, and T represents the temperature.

[0096] In some optional embodiments, the structure optimization device for the sealing strip further includes:

[0097] An airtightness test is performed on the sealing strip corresponding to the target optimized structural shape information to obtain an airtightness test result of the sealing strip corresponding to the target optimized structural shape information.

[0098] In some optional embodiments, the sealing strip is a hydrogen fuel cell metal bipolar plate sealing strip.

[0099] The structural optimization device for a sealing strip provided in an embodiment of the present invention can execute the structural optimization method for a sealing strip provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0100] Example 5

[0101] Figure 9 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0102] like Figure 9As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 and a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An I / O interface 15 is also connected to the bus 14.

[0103] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0104] The processor 11 may be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for optimizing the structure of a sealing strip, which includes:

[0105] Constructing a topology optimization model of the sealing strip structure, wherein the topology optimization model of the sealing strip structure includes an objective function and constraint conditions;

[0106] Based on the Arrhenius model, the objective function and constraint conditions of the topology optimization model of the sealing strip structure are iteratively solved to obtain the target optimized structural shape information of the sealing strip.

[0107] In some embodiments, the structural optimization method of the sealing strip can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the structural optimization method of the sealing strip described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the structural optimization method of the sealing strip by any other appropriate means (for example, by means of firmware).

[0108] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0109] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0110] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0111] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0112] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0113] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0114] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0115] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for optimizing the structure of a sealing strip, characterized in that: include: Constructing a topology optimization model of the sealing strip structure, wherein the topology optimization model of the sealing strip structure includes an objective function and constraint conditions; Based on the Arrhenius model, the objective function and constraint conditions of the topology optimization model of the sealing strip structure are iteratively solved to obtain the target optimized structural shape information of the sealing strip.

2. The method according to claim 1, characterized in that The objective function and constraint conditions of the topology optimization model of the sealing strip structure are iteratively solved based on the Arrhenius model to obtain target optimized structural shape information of the sealing strip, including: For any iteration, solving the objective function and constraint conditions of the topology optimization model of the sealing strip structure to obtain the current optimized structural shape information of the sealing strip in the current iteration; Determine the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration based on the Arrhenius model; When the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration is greater than the preset compression permanent deformation rate threshold, the iteration is ended and the current optimized structural shape information of the sealing strip in the current iteration is used as the target optimized structural shape information of the sealing strip.

3. The method according to claim 2, characterized in that The objective function is: minJ=F T U; Among them, J represents the structural flexibility of the sealing strip, F represents the maximum stress allowed by the sealing strip design, and U represents the displacement vector.

4. The method according to claim 2, characterized in that The constraints are: Among them, K represents the stiffness matrix, F represents the maximum allowable stress of the sealing strip design, U represents the displacement vector, ε represents the compression permanent deformation rate, V represents the volume of the sealing strip, m represents the compression rate of the sealing strip, R represents the fillet radius of the sealing strip, ρ i Represents the i-th geometric parameter in the optimized structural shape information of the sealing strip.

5. The method according to claim 2, characterized in that The formula for determining the compression permanent deformation rate corresponding to the current optimized structural shape information of the sealing strip in the current iteration based on the Arrhenius model is: ε=ε0e -kt ; k=Yes -E / (RT) ; Among them, ε represents the compression permanent deformation rate corresponding to the current optimized structural shape information, ε0 represents the initial compression permanent deformation rate, k represents the aging reaction rate corresponding to the current optimized structural shape information of the sealing strip under the current iteration, t represents the aging time, E represents the activation energy of the failure mechanism, A represents the frequency factor, R represents the Boltzmann constant, and T represents the temperature.

6. The method according to claim 1, characterized in that After iteratively solving the objective function and constraint conditions of the topology optimization model of the sealing strip structure based on the Arrhenius model to obtain target optimized structural shape information of the sealing strip, the method further includes: An airtightness test is performed on the sealing strip corresponding to the target optimized structural shape information to obtain an airtightness test result of the sealing strip corresponding to the target optimized structural shape information.

7. The method according to any one of claims 1 to 6, characterized in that: The sealing strip is a sealing strip for a metal bipolar plate of a hydrogen fuel cell.

8. A structural optimization device for a sealing strip, characterized in that: include: A topology optimization model building module for a sealing strip structure, used to build a topology optimization model of the sealing strip structure, wherein the topology optimization model of the sealing strip structure includes an objective function and constraint conditions; The target optimized structural shape determination module of the sealing strip is used to iteratively solve the objective function and constraint conditions of the topological optimization model of the sealing strip structure based on the Arrhenius model to obtain the target optimized structural shape information of the sealing strip.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the structural optimization method of the sealing strip according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the structural optimization method of the sealing strip according to any one of claims 1 to 7 when executed.

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