Automotive sheet metal lightweighting methods, systems, computers, and readable storage media

Abstract

This invention provides a method, system, computer, and readable storage medium for lightweighting automotive sheet metal. The method includes: performing a three-dimensional model of the original automotive sheet metal to generate a corresponding three-dimensional sheet metal model, and dividing the three-dimensional sheet metal model into several sheet metal units; assigning different shell unit attributes to each sheet metal unit, and setting target strength and target weight values ​​for the three-dimensional sheet metal model, wherein the shell unit attributes include the expected material thickness value corresponding to each sheet metal unit; and inputting the target strength value, target weight value, and expected material thickness value into a preset optimization program so that the preset optimization program outputs the optimal material thickness value corresponding to each sheet metal unit. This method eliminates the need for manual optimization, thereby significantly shortening the automotive sheet metal lightweighting cycle and improving the efficiency of automotive sheet metal lightweighting.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobiles, in particular to a method and system for lightweighting automobile sheet metal, a computer and a readable storage medium. BACKGROUND

[0002] With the gradual increase of the state's requirements for energy saving and emission reduction, and the intensification of competition in the automobile industry, how to design the lightweight automobile sheet metal to meet the state's regulatory requirements and improve the competitiveness of automobile products has become one of the common research and development goals of various automobile manufacturers.

[0003] Among them, reducing the thickness of automobile sheet metal is an important way to achieve lightweight automobiles. However, most of the existing technologies rely on the experience of engineers to manually optimize the thickness of automobile sheet metal, which results in a long optimization period and low optimization efficiency, which is not conducive to quickly improving the competitiveness of automobile products.

[0004] Therefore, in view of the deficiencies of the prior art, it is necessary to provide a method for lightweighting automobile sheet metal with short cycle and high efficiency. SUMMARY

[0005] Therefore, the purpose of the present application is to provide a method for lightweighting automobile sheet metal with short cycle and high efficiency.

[0006] The first aspect of the embodiment of the present application provides a method for lightweighting automobile sheet metal, which comprises:

[0007] Three-dimensional modeling of the original automobile sheet metal to generate a corresponding three-dimensional sheet metal model, and dividing the three-dimensional sheet metal model into a plurality of sheet metal units;

[0008] Assigning different shell element attributes to each of the plurality of sheet metal units, and setting a target strength value and a target weight value of the three-dimensional sheet metal model, the shell element attributes including an expected thickness value corresponding to each of the sheet metal units;

[0009] Simulating a target thickness value of the three-dimensional sheet metal model according to the target strength value and the target weight value, and determining whether the difference between the target thickness value and the expected thickness value is within a preset threshold;

[0010] If it is determined that the difference between the target thickness value and the expected thickness value is within the preset threshold, the target thickness value is set as an optimal thickness value.

[0011] The beneficial effects of the present application are: by first modeling the original automobile sheet metal in three dimensions to generate a corresponding three-dimensional sheet metal model, and dividing the three-dimensional sheet metal model into several sheet metal units; further, several sheet metal units are respectively given different shell element properties, and the target strength value and the target weight value of the three-dimensional sheet metal model are set, wherein the shell element properties include the expected thickness value corresponding to each sheet metal unit; finally, only the target strength value, the target weight value and the expected thickness value are input into the preset optimization program, so that the preset optimization program outputs the optimal thickness value corresponding to each sheet metal unit. Through the above-mentioned manner, the optimal thickness value of the current original automobile sheet metal can be accurately calculated according to the three-dimensional sheet metal model constructed, and the process of manual optimization by artificial is saved, thereby greatly shortening the period of automobile sheet metal lightweight, and correspondingly improving the efficiency of automobile sheet metal lightweight, which is suitable for wide promotion and use.

[0012] Preferably, after the step of modeling the original automobile sheet metal in three dimensions to generate a corresponding three-dimensional sheet metal model, the method further comprises:

[0013] When the three-dimensional sheet metal model is constructed, the degrees of freedom on the three-dimensional sheet metal model are constrained, and a preset strength gravity field is applied to the three-dimensional sheet metal model after the constraint processing, so as to perform strength analysis on the three-dimensional sheet metal model after the constraint processing.

[0014] Preferably, the step of dividing the three-dimensional sheet metal model into several sheet metal units comprises:

[0015] Based on a preset algorithm, the model surface of the three-dimensional sheet metal model is detected, and several grid units are divided on the model surface according to a preset size, and each grid unit is connected to each other;

[0016] Based on several grid units, the three-dimensional sheet metal model is split to generate several corresponding sheet metal units.

[0017] Preferably, the step of respectively giving different shell element properties to several sheet metal units comprises:

[0018] The original thickness value and the original material type corresponding to each sheet metal unit are detected one by one, and the expected thickness value and the expected material type suitable for each sheet metal unit are found in a preset database, and the expected thickness value and the expected material type constitute the shell element properties;

[0019] The original thickness value and the original material type are replaced by the expected thickness value and the expected material type to complete the step of respectively giving different shell element properties to each sheet metal unit.

[0020] Preferably, after the step of setting the target material thickness value to the optimal material thickness value, the method further includes:

[0021] When the optimal material thickness value corresponding to each sheet metal unit is obtained, the corresponding optimal automotive sheet metal 3D model is constructed based on the optimal material thickness value, and the corresponding dimension report is generated based on the optimal automotive sheet metal 3D model, so as to produce the optimal automotive sheet metal 3D model according to the dimension report.

[0022] A second aspect of this invention provides a lightweight automotive sheet metal system, the system comprising:

[0023] The partitioning module is used to perform three-dimensional modeling on the original automotive sheet metal to generate a corresponding three-dimensional sheet metal model, and to divide the three-dimensional sheet metal model into several sheet metal units.

[0024] The setting module is used to assign different shell unit attributes to the sheet metal units respectively, and to set the target strength value and target weight value of the three-dimensional sheet metal model. The shell unit attributes include the expected material thickness value corresponding to each sheet metal unit.

[0025] The optimization module is used to simulate the target material thickness of the three-dimensional sheet metal model based on the target strength value and the target weight value, and to determine whether the difference between the target material thickness and the expected material thickness is within a preset threshold.

[0026] If it is determined that the difference between the target material thickness and the desired material thickness is within the preset threshold, then the target material thickness is set as the optimal material thickness.

[0027] The aforementioned automotive sheet metal lightweighting system further includes a simulation module, which is specifically used for:

[0028] When the three-dimensional sheet metal model is constructed, several degrees of freedom on the three-dimensional sheet metal model are constrained, and a gravity field of preset strength is applied to the constrained three-dimensional sheet metal model to perform strength analysis.

[0029] In the aforementioned automotive sheet metal lightweighting system, the partitioning module is specifically used for:

[0030] The model surface of the three-dimensional sheet metal model is detected based on a preset algorithm, and several mesh units are divided on the model surface according to preset dimensions, with each mesh unit connected to the others.

[0031] The three-dimensional sheet metal model is split based on several mesh units to generate several corresponding sheet metal units.

[0032] In the aforementioned automotive sheet metal lightweighting system, the setting module is specifically used for:

[0033] The original material thickness and original material type of each sheet metal unit are detected one by one, and the expected material thickness and expected material type that are compatible with each sheet metal unit are found in the preset database. The expected material thickness and the expected material type constitute the shell unit attributes.

[0034] The original material thickness and the original material type are replaced with the desired material thickness and the desired material type to assign different shell unit attributes to each sheet metal unit.

[0035] The aforementioned automotive sheet metal lightweighting system further includes a construction module, which is specifically used for:

[0036] When the optimal material thickness value corresponding to each sheet metal unit is obtained, the corresponding optimal automotive sheet metal 3D model is constructed based on the optimal material thickness value, and the corresponding dimension report is generated based on the optimal automotive sheet metal 3D model, so as to produce the optimal automotive sheet metal 3D model according to the dimension report.

[0037] A third aspect of the present invention provides a computer, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the automotive sheet metal lightweighting method described above.

[0038] The fourth aspect of this invention provides a readable storage medium storing a computer program that, when executed by a processor, implements the automotive sheet metal lightweighting method described above.

[0039] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0040] Figure 1 A flowchart of the automotive sheet metal lightweighting method provided in the first embodiment of the present invention;

[0041] Figure 2 This is a structural block diagram of the automotive sheet metal lightweighting system provided in the sixth embodiment of the present invention.

[0042] The following detailed description, in conjunction with the accompanying drawings, will further illustrate the present invention. Detailed Implementation

[0043] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Several embodiments of the invention are illustrated in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

[0044] It should be noted that when a component is said to be "fixed to" another component, it can be directly on the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0046] Existing technologies largely rely on engineers' experience to manually optimize the thickness of automotive sheet metal, resulting in long optimization cycles and low efficiency, which is not conducive to quickly improving the competitiveness of automotive products.

[0047] Please see Figure 1 The image shows a method for lightweighting automotive sheet metal according to the first embodiment of the present invention. This method can accurately calculate the optimal material thickness of the original automotive sheet metal based on the constructed three-dimensional sheet metal model, while eliminating the need for manual optimization. This significantly shortens the cycle of lightweighting automotive sheet metal and improves the efficiency of lightweighting, making it suitable for widespread promotion and use.

[0048] Specifically, the automotive sheet metal lightweighting method provided in this embodiment includes the following steps:

[0049] Step S10: Perform 3D modeling on the original automotive sheet metal to generate a corresponding 3D sheet metal model, and divide the 3D sheet metal model into several sheet metal units.

[0050] Specifically, in this embodiment, it should first be noted that the automotive sheet metal lightweighting method provided in this embodiment is specifically applied in the field of new energy vehicle technology, and more specifically, it is applied to sheet metal parts such as brackets, crossbeams and shells inside the body of new energy vehicles, in order to optimize the thickness of various sheet metal parts to achieve lightweight design of the vehicle body.

[0051] Furthermore, it should be noted that the automotive sheet metal lightweighting method provided in this embodiment is implemented based on existing 3D software. Specifically, the 3D software has pre-set optimization algorithms or optimization models, enabling it to output the optimal material thickness value. Based on this, the required sheet metal parts are produced according to the obtained optimal material thickness value.

[0052] Therefore, it should be noted that in this step, upon obtaining the original automotive sheet metal part to be lightweighted, a corresponding 3D model will be immediately created based on the original automotive sheet metal to generate a corresponding 3D sheet metal model in 3D software. Furthermore, to facilitate subsequent lightweighting processes, this step will further divide the constructed 3D sheet metal model into several sheet metal units. It should be pointed out that the sizes of these sheet metal units can be the same or different, all within the scope of this embodiment.

[0053] Step S20: Assign different shell unit attributes to the sheet metal units respectively, and set the target strength value and target weight value of the three-dimensional sheet metal model. The shell unit attributes include the expected material thickness value corresponding to each sheet metal unit.

[0054] Furthermore, in this step, it should be noted that after obtaining several sheet metal units through the above steps, this step will further assign different shell unit attributes to the current sheet metal units. It should be pointed out that the shell unit attributes assigned to each sheet metal unit in this step include the expected material thickness value corresponding to the current sheet metal unit. Specifically, it should be noted that the expected material thickness value represents the expected optimized material thickness value of the current sheet metal unit, and the expected material thickness value can be changed accordingly according to the actual needs.

[0055] Furthermore, in this step, after assigning different shell unit attributes to several sheet metal units, this step will further set the target strength value and target weight value corresponding to the current three-dimensional sheet metal model in order to complete the subsequent optimization.

[0056] Step S30: Simulate the target material thickness value of the three-dimensional sheet metal model based on the target strength value and the target weight value, and determine whether the difference between the target material thickness value and the expected material thickness value is within a preset threshold; if it is determined that the difference between the target material thickness value and the expected material thickness value is within the preset threshold, then set the target material thickness value as the optimal material thickness value.

[0057] Finally, it should be noted in this step that after obtaining the required target strength value, target weight value, and expected material thickness value through the above steps, this step will immediately input the real-time target strength value, target weight value, and expected material thickness value into the pre-set optimization program, so that the optimization program can finally output the optimal material thickness value corresponding to each sheet metal unit.

[0058] Preferably, in this embodiment, the preset optimization program provided is set to Hyperworks (CAE application software package). Specifically, Hyperworks is an innovative and open enterprise-level CAE platform that integrates various tools required for design and analysis. It has unparalleled performance, high openness, flexibility, and a user-friendly interface, thereby enabling it to accurately output the optimal material thickness value corresponding to each sheet metal unit.

[0059] In practice, the process begins by creating a 3D model of the original automotive sheet metal, which is then divided into several sheet metal units. Next, different shell unit attributes are assigned to each sheet metal unit, and target strength and weight values ​​are set for the 3D sheet metal model. The shell unit attributes include the expected material thickness for each sheet metal unit. Finally, the target strength, target weight, and expected material thickness values ​​are input into a preset optimization program, which outputs the optimal material thickness for each sheet metal unit. This method accurately calculates the optimal material thickness for the original automotive sheet metal based on the constructed 3D sheet metal model, eliminating the need for manual optimization and significantly shortening the automotive sheet metal lightweighting cycle. This improves the efficiency of automotive sheet metal lightweighting and makes it suitable for widespread adoption and use.

[0060] It should be noted that the above implementation process is only to illustrate the feasibility of this application, but it does not mean that the automotive sheet metal lightweighting method of this application has only the above-mentioned single implementation process. On the contrary, as long as the automotive sheet metal lightweighting method of this application can be implemented, it can be included in the feasible implementation scheme of this application.

[0061] In summary, the automotive sheet metal lightweighting method provided by the above embodiments of the present invention can accurately calculate the optimal material thickness of the original automotive sheet metal based on the constructed three-dimensional sheet metal model, while eliminating the need for manual optimization. This significantly shortens the automotive sheet metal lightweighting cycle and improves the efficiency of automotive sheet metal lightweighting, making it suitable for widespread promotion and use.

[0062] The second embodiment of the present invention also provides a method for lightweighting automotive sheet metal. The difference between the automotive sheet metal lightweighting method provided in this embodiment and the automotive sheet metal lightweighting method provided in the first embodiment is as follows:

[0063] Specifically, in this embodiment, it should be noted that after the above-mentioned step of performing three-dimensional modeling on the original automotive sheet metal to generate a corresponding three-dimensional sheet metal model, the method further includes:

[0064] When the three-dimensional sheet metal model is constructed, several degrees of freedom on the three-dimensional sheet metal model are constrained, and a gravity field of preset strength is applied to the constrained three-dimensional sheet metal model to perform strength analysis.

[0065] Specifically, in this embodiment, for ease of understanding, an oil can holder is used as an example for detailed explanation. Furthermore, when the sheet metal part of the oil can holder is obtained, a corresponding three-dimensional sheet metal model of the current oil can holder is immediately constructed. Simultaneously, to simulate the actual working scenario of the current oil can holder, a three-dimensional model of the oil can and the transition bracket connected to it is also constructed. Based on this, several degrees of freedom on the three-dimensional sheet metal model of the current oil can holder are constrained to fix the current oil can holder, the oil can, and the transition bracket together according to the actual working conditions.

[0066] Based on this, a pre-set gravity field of varying intensity is simultaneously applied to the current oil can holder, the oil can, and the transition holder, thereby enabling effective strength analysis of the constrained three-dimensional sheet metal model of the oil can holder. Preferably, in this embodiment, a vertically downward gravity field 10 times the force of gravity is applied to the constrained three-dimensional sheet metal model of the oil can holder.

[0067] It should be noted that the method provided in the second embodiment of the present invention has the same implementation principle and some technical effects as the first embodiment. For the sake of brevity, any parts not mentioned in this embodiment can be referred to the corresponding content provided in the first embodiment.

[0068] In summary, the automotive sheet metal lightweighting method provided by the above embodiments of the present invention can accurately calculate the optimal material thickness of the original automotive sheet metal based on the constructed three-dimensional sheet metal model, while eliminating the need for manual optimization. This significantly shortens the automotive sheet metal lightweighting cycle and improves the efficiency of automotive sheet metal lightweighting, making it suitable for widespread promotion and use.

[0069] The third embodiment of the present invention also provides a method for lightweighting automotive sheet metal. The difference between the automotive sheet metal lightweighting method provided in this embodiment and the automotive sheet metal lightweighting method provided in the first embodiment is as follows:

[0070] Specifically, in this embodiment, it should be noted that the step of dividing the three-dimensional sheet metal model into several sheet metal units includes:

[0071] The model surface of the three-dimensional sheet metal model is detected based on a preset algorithm, and several mesh units are divided on the model surface according to preset dimensions, with each mesh unit connected to the others.

[0072] The three-dimensional sheet metal model is split based on several mesh units to generate several corresponding sheet metal units.

[0073] Specifically, in this embodiment, the model surface of the current three-dimensional sheet metal model will be detected by a preset image recognition algorithm, and several grid units will be divided on the current model surface according to the preset planned size. Specifically, each grid unit is connected to each other, so that the grid unit can completely or mostly cover the model surface.

[0074] After dividing the model surface into corresponding mesh units through the above steps, this embodiment only needs to split the current three-dimensional sheet metal model based on the divided mesh units to split out several required sheet metal units.

[0075] It should be noted that the method provided in the third embodiment of the present invention has the same implementation principle and some technical effects as the first embodiment. For the sake of brevity, any parts not mentioned in this embodiment can be referred to the corresponding content provided in the first embodiment.

[0076] In summary, the automotive sheet metal lightweighting method provided by the above embodiments of the present invention can accurately calculate the optimal material thickness of the original automotive sheet metal based on the constructed three-dimensional sheet metal model, while eliminating the need for manual optimization. This significantly shortens the automotive sheet metal lightweighting cycle and improves the efficiency of automotive sheet metal lightweighting, making it suitable for widespread promotion and use.

[0077] The fourth embodiment of the present invention also provides a method for lightweighting automotive sheet metal. The difference between the automotive sheet metal lightweighting method provided in this embodiment and the automotive sheet metal lightweighting method provided in the first embodiment is as follows:

[0078] Furthermore, in this embodiment, it should be noted that the steps of assigning different shell unit attributes to the plurality of sheet metal units include:

[0079] The original material thickness and original material type of each sheet metal unit are detected one by one, and the expected material thickness and expected material type that are compatible with each sheet metal unit are found in the preset database. The expected material thickness and the expected material type constitute the shell unit attributes.

[0080] The original material thickness and the original material type are replaced with the desired material thickness and the desired material type to assign different shell unit attributes to each sheet metal unit.

[0081] Specifically, in this embodiment, it should be noted that in order to accurately assign different shell unit attributes to each sheet metal unit, this embodiment first needs to detect the original material thickness value and original material type corresponding to each sheet metal unit. At the same time, the desired material thickness value and desired material type that are compatible with each sheet metal unit are found in the preset standard database. The desired material thickness value and desired material type found can constitute the shell unit attributes provided in this embodiment.

[0082] Furthermore, in this embodiment, it is only necessary to replace the original material thickness value and original material type in each sheet metal unit with the expected material thickness value and expected material type found in real time, so as to simply and effectively assign different shell unit attributes to each sheet metal unit.

[0083] It should be noted that the method provided in the fourth embodiment of the present invention has the same implementation principle and some technical effects as the first embodiment. For the sake of brevity, any parts not mentioned in this embodiment can be referred to the corresponding content provided in the first embodiment.

[0084] In summary, the automotive sheet metal lightweighting method provided by the above embodiments of the present invention can accurately calculate the optimal material thickness of the original automotive sheet metal based on the constructed three-dimensional sheet metal model, while eliminating the need for manual optimization. This significantly shortens the automotive sheet metal lightweighting cycle and improves the efficiency of automotive sheet metal lightweighting, making it suitable for widespread promotion and use.

[0085] The fifth embodiment of the present invention also provides a method for lightweighting automotive sheet metal. The difference between the automotive sheet metal lightweighting method provided in this embodiment and the automotive sheet metal lightweighting method provided in the first embodiment is as follows:

[0086] Furthermore, in this embodiment, it should be noted that after the steps of simulating the target material thickness value of the three-dimensional sheet metal model based on the target strength value and the target weight value, and determining whether the difference between the target material thickness value and the expected material thickness value is within a preset threshold; if it is determined that the difference between the target material thickness value and the expected material thickness value is within the preset threshold, then the target material thickness value is set as the optimal material thickness value, the method further includes:

[0087] When the optimal material thickness value corresponding to each sheet metal unit is obtained, the corresponding optimal automotive sheet metal 3D model is constructed based on the optimal material thickness value, and the corresponding dimension report is generated based on the optimal automotive sheet metal 3D model, so as to produce the optimal automotive sheet metal 3D model according to the dimension report.

[0088] Specifically, in this embodiment, after obtaining the optimal material thickness value corresponding to each sheet metal unit in real time, this embodiment can further construct the corresponding optimal automotive sheet metal 3D model based on the obtained optimal material thickness value, that is, the lightweight automotive sheet metal 3D model. At the same time, this embodiment can also generate a corresponding dimension report based on the optimal automotive sheet metal 3D model constructed in real time. Specifically, the dimension report includes the final material thickness value of the current optimal automotive sheet metal 3D model, so as to finally carry out the corresponding production of the current optimal automotive sheet metal 3D model.

[0089] It should be noted that the method provided in the fifth embodiment of the present invention has the same implementation principle and some technical effects as the first embodiment. For the sake of brevity, any parts not mentioned in this embodiment can be referred to the corresponding content provided in the first embodiment.

[0090] In summary, the automotive sheet metal lightweighting method provided by the above embodiments of the present invention can accurately calculate the optimal material thickness of the original automotive sheet metal based on the constructed three-dimensional sheet metal model, while eliminating the need for manual optimization. This significantly shortens the automotive sheet metal lightweighting cycle and improves the efficiency of automotive sheet metal lightweighting, making it suitable for widespread promotion and use.

[0091] Please see Figure 2 The figure shows a lightweight automotive sheet metal system provided in the sixth embodiment of the present invention, the system comprising:

[0092] The partitioning module 12 is used to perform three-dimensional modeling on the original automotive sheet metal to generate a corresponding three-dimensional sheet metal model, and to divide the three-dimensional sheet metal model into several sheet metal units.

[0093] The setting module 22 is used to assign different shell unit attributes to the plurality of sheet metal units respectively, and to set the target strength value and target weight value of the three-dimensional sheet metal model. The shell unit attributes include the expected material thickness value corresponding to each sheet metal unit.

[0094] The optimization module 32 is used to simulate the target material thickness of the three-dimensional sheet metal model based on the target strength value and the target weight value, and to determine whether the difference between the target material thickness and the expected material thickness is within a preset threshold.

[0095] If it is determined that the difference between the target material thickness and the desired material thickness is within the preset threshold, then the target material thickness is set as the optimal material thickness.

[0096] In the aforementioned automotive sheet metal lightweighting system, the automotive sheet metal lightweighting system further includes a simulation module 42, which is specifically used for:

[0097] When the three-dimensional sheet metal model is constructed, several degrees of freedom on the three-dimensional sheet metal model are constrained, and a gravity field of preset strength is applied to the constrained three-dimensional sheet metal model to perform strength analysis.

[0098] In the aforementioned automotive sheet metal lightweighting system, the dividing module 12 is specifically used for:

[0099] The model surface of the three-dimensional sheet metal model is detected based on a preset algorithm, and several mesh units are divided on the model surface according to preset dimensions, with each mesh unit connected to the others.

[0100] The three-dimensional sheet metal model is split based on several mesh units to generate several corresponding sheet metal units.

[0101] In the aforementioned automotive sheet metal lightweighting system, the setting module 22 is specifically used for:

[0102] The original material thickness and original material type of each sheet metal unit are detected one by one, and the expected material thickness and expected material type that are compatible with each sheet metal unit are found in the preset database. The expected material thickness and the expected material type constitute the shell unit attributes.

[0103] The original material thickness and the original material type are replaced with the desired material thickness and the desired material type to assign different shell unit attributes to each sheet metal unit.

[0104] In the aforementioned automotive sheet metal lightweighting system, the automotive sheet metal lightweighting system further includes a construction module 52, which is specifically used for:

[0105] When the optimal material thickness value corresponding to each sheet metal unit is obtained, the corresponding optimal automotive sheet metal 3D model is constructed based on the optimal material thickness value, and the corresponding dimension report is generated based on the optimal automotive sheet metal 3D model, so as to produce the optimal automotive sheet metal 3D model according to the dimension report.

[0106] The seventh embodiment of the present invention provides a computer, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the automotive sheet metal lightweighting method provided in the above embodiments.

[0107] The eighth embodiment of the present invention provides a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the automotive sheet metal lightweighting method provided in the above embodiments.

[0108] In summary, the automotive sheet metal lightweighting method, system, computer, and readable storage medium provided in the above embodiments of the present invention can accurately calculate the optimal material thickness of the original automotive sheet metal based on the constructed three-dimensional sheet metal model, while eliminating the need for manual optimization. This significantly shortens the automotive sheet metal lightweighting cycle and improves the efficiency of automotive sheet metal lightweighting, making it suitable for widespread promotion and use.

[0109] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0110] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0111] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0112] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0113] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0114] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for lightweighting of an automotive sheet metal, characterized in that, The method comprises: three-dimensional modeling of the original automobile sheet metal to generate a corresponding three-dimensional sheet metal model, and dividing the three-dimensional sheet metal model into a plurality of sheet metal units; assigning different shell unit attributes to each of the plurality of sheet metal units, and setting a target strength value and a target weight value of the three-dimensional sheet metal model, the shell unit attributes including an expected thickness value corresponding to each of the plurality of sheet metal units; simulating a target thickness value of the three-dimensional sheet metal model according to the target strength value and the target weight value, and determining whether the difference between the target thickness value and the expected thickness value is within a preset threshold value; if it is determined that the difference between the target thickness value and the expected thickness value is within the preset threshold value, setting the target thickness value as an optimal thickness value; after the step of three-dimensional modeling of the original automobile sheet metal to generate a corresponding three-dimensional sheet metal model, the method further comprises: when the three-dimensional sheet metal model is constructed, performing constraint processing on a plurality of degrees of freedom on the three-dimensional sheet metal model, and applying a preset strength gravity field to the three-dimensional sheet metal model after the constraint processing to perform strength analysis on the three-dimensional sheet metal model after the constraint processing.

2. The method for lightweighting of automotive sheet metal as claimed in claim 1, wherein: The step of dividing the three-dimensional sheet metal model into a plurality of sheet metal units comprises: detecting a model surface of the three-dimensional sheet metal model based on a preset algorithm, and dividing a plurality of grid units on the model surface according to a preset size, each of the plurality of grid units being connected to each other; based on the plurality of grid units, performing splitting processing on the three-dimensional sheet metal model to generate a plurality of corresponding sheet metal units.

3. The method for lightweighting of automotive sheet metal as claimed in claim 1, wherein: The step of assigning different shell unit attributes to each of the plurality of sheet metal units comprises: detecting an original thickness value and an original material type corresponding to each of the plurality of sheet metal units one by one, and finding an expected thickness value and an expected material type suitable for each of the plurality of sheet metal units in a preset database, the expected thickness value and the expected material type forming the shell unit attributes; replacing the original thickness value and the original material type with the expected thickness value and the expected material type to complete the assignment of different shell unit attributes to each of the plurality of sheet metal units.

4. The method for lightweighting of automotive sheet metal as claimed in claim 1, wherein: After the step of setting the target thickness value as an optimal thickness value, the method further comprises: when the optimal thickness value corresponding to each of the plurality of sheet metal units is obtained, constructing a corresponding optimal automobile sheet metal three-dimensional model according to the optimal thickness value, and generating a corresponding size report according to the optimal automobile sheet metal three-dimensional model to produce the optimal automobile sheet metal three-dimensional model according to the size report.

5. An automobile sheet metal lightweighting system, characterized by, The system comprises: a division module for three-dimensional modeling of the original automobile sheet metal to generate a corresponding three-dimensional sheet metal model, and dividing the three-dimensional sheet metal model into a plurality of sheet metal units; a setting module for assigning different shell unit attributes to each of the plurality of sheet metal units, and setting a target strength value and a target weight value of the three-dimensional sheet metal model, the shell unit attributes including an expected thickness value corresponding to each of the plurality of sheet metal units; an optimization module, configured to simulate a target thickness value of the three-dimensional sheet metal model according to the target strength value and the target weight value, and determine whether a difference between the target thickness value and the expected thickness value is within a preset threshold value; if it is determined that the difference between the target thickness value and the expected thickness value is within the preset threshold value, the target thickness value is set as an optimal thickness value; the automobile sheet metal lightweight system further comprises an simulation module, and the simulation module is specifically configured to: when the three-dimensional sheet metal model is constructed, a constraint processing is performed on a plurality of degrees of freedom on the three-dimensional sheet metal model, and a preset strength gravity field is applied to the three-dimensional sheet metal model after the constraint processing, so as to perform strength analysis on the three-dimensional sheet metal model after the constraint processing.

6. The automobile sheet metal lightweighting system of claim 5, wherein: the division module is specifically configured to: detect a model surface of the three-dimensional sheet metal model based on a preset algorithm, and divide a plurality of grid units on the model surface according to a preset size, each of the grid units being connected to each other; perform a splitting processing on the three-dimensional sheet metal model based on the plurality of grid units, so as to generate a plurality of corresponding sheet metal units.

7. A computer comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, the processor executes the computer program to implement the automobile sheet metal lightweight method in any one of claims 1 to 4.

8. A readable storage medium, having stored thereon a computer program, characterized in that, the program is executed by the processor to implement the automobile sheet metal lightweight method in any one of claims 1 to 4.

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