Automobile oil pan structure optimization method, system and equipment
By modal analysis of the vibration information of the car oil pan and optimizing the design, the resonance problem of the oil pan at different frequencies is solved, the engine noise and vibration are significantly reduced, and the overall performance and durability of the engine are improved.
Patent Information
- Application Number
- CN202411285395.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-13
- Publication Date
- 2024-12-27
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing automotive oil pan design cannot accurately evaluate the response characteristics at different frequencies, resulting in resonance phenomena and noise problems, affecting engine performance and durability.
By obtaining vibration information of the bottom surface and side wall, performing modal analysis, identifying areas that are prone to resonance, and optimizing the design of the bottom surface and side wall in a targeted manner, adjusting the stripe height and structural parameters to suppress resonance phenomena.
Effectively reduce the vibration amplitude and noise level during engine operation, improve oil pan performance, and extend the service life of the engine without increasing production costs.
Smart Images
Figure CN119203371A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the technical field of automobile oil pan optimization, and in particular, relates to an automobile oil pan structure optimization method, system and equipment. Background Art
[0002] In the automotive industry, the engine oil pan is an important component at the bottom of the engine. Its design and performance directly affect the stability and service life of the engine. The main function of the automobile oil pan is to store engine lubricating oil and provide necessary support for oil circulation.
[0003] However, since the engine generates vibrations during operation, these vibrations will be transmitted to the oil pan at the bottom, which may cause the oil pan to resonate, resulting in noise and potential structural fatigue problems. Existing oil pan designs often focus on strength and stiffness analysis under static conditions, which makes it impossible to accurately evaluate the response characteristics of the automotive oil pan in actual use or at different frequencies, thus affecting the overall performance and durability of the engine. Summary of the invention
[0004] The embodiments of the present application provide a method, system and device for optimizing the structure of an automobile oil pan, which can improve the problem that the existing oil pan design cannot accurately evaluate the response characteristics of the automobile oil pan in actual use or at different frequencies.
[0005] In a first aspect, an embodiment of the present application provides a method for optimizing the structure of an automobile oil pan, comprising: Acquire bottom surface excitation information; wherein the bottom surface excitation information is used to reflect the vibration duration and corresponding vibration amplitude of the bottom surface of the automobile oil pan after different vibration loads are applied to the automobile oil pan; Analyze the bottom surface excitation information to obtain regional modal information; wherein the regional modal information is used to reflect the natural frequency and vibration mode of each order region of the bottom surface; Analyzing the regional modal information to obtain bottom surface optimization data; wherein the bottom surface optimization data is used to reflect the optimized height of the stripes in the region of the bottom surface involved in the optimization; Acquire side wall excitation information; wherein the side wall excitation information is used to reflect the vibration amplitude of the side wall of the automobile oil pan; Analyze the bottom surface optimization data and the side wall excitation information to obtain side wall optimization data; The vehicle oil pan structure optimization data is obtained based on the bottom surface optimization data and the side wall optimization data.
[0006] The above technical solutions in the embodiments of the present application have at least the following technical effects: The automobile oil pan structure optimization method provided in the present application obtains bottom surface excitation information for reflecting the vibration duration and corresponding vibration amplitude of the bottom surface of the automobile oil pan after vibration is applied to the automobile oil pan; then analyzes based on the bottom surface excitation information to obtain regional modal information for reflecting the vibration characteristics of each order region of the bottom surface; analyzes based on the regional modal information to obtain bottom surface optimization data for reflecting the optimized height of stripes in the region of the bottom surface involved in the optimization; then obtains side wall excitation information for reflecting the vibration amplitude of the side wall of the automobile oil pan; then analyzes based on the bottom surface optimization data and the side wall excitation information to obtain side wall optimization data; finally, obtains the automobile oil pan structure optimization data based on the bottom surface optimization data and the side wall optimization data. This method uses bottom surface excitation information and side wall excitation information to perform modal analysis, which helps to identify areas prone to resonance, and then optimize the design of the bottom surface and side walls in a targeted manner. It can also discover potential problem points in the design stage, thereby improving the performance of the oil pan through structural fine-tuning without significantly increasing production costs. By adjusting the optimized height of the bottom surface stripes and the structural parameters of the side walls, the resonance phenomenon of the oil pan at a specific frequency can be effectively suppressed, thereby significantly reducing the vibration amplitude and noise level within the frequency range generated when the engine is working.
[0007] In a possible implementation manner of the first aspect, the performing analysis according to the regional modal information to obtain bottom surface optimization data includes: Analyze the regional modal information to obtain regional optimization information; wherein the regional optimization information is used to reflect the region that needs to be optimized and the corresponding structural parameters; An analysis is performed based on the regional optimization information to obtain bottom surface optimization data.
[0008] In a possible implementation manner of the first aspect, the performing analysis according to the regional modal information to obtain regional optimization information includes: Acquiring initial structural information; wherein the initial structural information is used to reflect the structure of the automobile oil pan before optimization; Analyzing the initial structural information to obtain observation point information; wherein the observation point information is used to reflect the area of the bottom surface where structural optimization can be performed; Analyze the regional modal information and the observation point information to obtain response information of each observation point; wherein the response information is used to reflect the amplitude and acceleration amplitude of the observation point on the bottom surface; An analysis is performed based on the response information to obtain regional optimization information.
[0009] In a possible implementation manner of the first aspect, the analyzing according to the response information to obtain the area optimization information includes: Analyze the response information to obtain an amplitude discrete value and an acceleration discrete value; wherein the amplitude discrete value is used to reflect the discrete degree of the amplitude of the observation point under different excitation frequency bands, and the acceleration discrete value is used to reflect the discrete degree of the acceleration of the observation point under different excitation frequency bands; The regional optimization information is obtained by analyzing the amplitude discrete value and the acceleration discrete value.
[0010] In a possible implementation manner of the first aspect, the performing analysis according to the amplitude discrete value and the acceleration discrete value to obtain the region optimization information includes: Comparing the amplitude discrete values under different excitation frequency bands with a first preset threshold, and comparing the acceleration discrete values under different excitation frequency bands with a second preset threshold, screening out the observation points whose amplitude discrete values are greater than the first preset threshold and / or whose acceleration discrete values are greater than the second preset threshold, to obtain a pre-optimized region group; An analysis is performed based on the pre-optimized region group to obtain region optimization information.
[0011] In a possible implementation manner of the first aspect, the performing analysis according to the pre-optimized region group to obtain region optimization information includes: Incorporating the observation points corresponding to the amplitude discrete values greater than the first preset threshold and the acceleration discrete values greater than the second preset threshold in the same excitation frequency band in the pre-optimized region group into the first region optimization information of the region optimization information; calculating the correlation between the observation point in the pre-optimized area group that is not included in the first area optimization information and the observation point in the first area optimization information; The observation points whose correlation is less than the third preset threshold are included in the second region optimization information to obtain the second region optimization information of the region optimization information.
[0012] In a possible implementation manner of the first aspect, the analyzing according to the regional optimization information to obtain bottom surface optimization data includes: Acquire a height optimization range; wherein the height optimization range is used to reflect the size of the convex design that can be performed at each observation point of the regional optimization information; Bringing the highly optimized range into the traversal function to obtain a highly optimized history; wherein the highly optimized history is used to reflect the frequency response value corresponding to the highly optimized range of each observation point brought into the traversal function by permutation and combination; The bottom surface optimization data is obtained based on the height optimization history.
[0013] In a possible implementation manner of the first aspect, the analyzing according to the bottom surface optimization data and the sidewall excitation information to obtain the sidewall optimization data includes: Analyze the side wall excitation information to obtain an excitation response frequency band; wherein the excitation response frequency band is used to indicate that the vibration amplitude of the side wall is greater than the excitation frequency band corresponding to the preset amplitude; The excitation response frequency band that is smaller than the preset excitation frequency band is screened out to obtain the corresponding area to be optimized; wherein the area to be optimized is used to reflect the area of the side wall that may need to be designed with reinforcement ribs; Perform simulation analysis based on the bottom surface optimization data to obtain a bottom surface optimization structure; Calculating the crowding distance between the bottom surface optimization structure and the area to be optimized; wherein the crowding distance is used to reflect the relative distance between the area to be optimized and the stripes of the bottom surface after optimization; The crowding distance that is greater than the preset crowding distance is screened out to obtain an optimized area; wherein the optimized area is used to reflect the area of the side wall that needs to be designed with reinforcing ribs; An analysis is performed based on the optimized area to obtain sidewall optimization data.
[0014] In a second aspect, an embodiment of the present application provides a vehicle oil pan structure optimization system, comprising: A first acquisition module is used to acquire bottom surface excitation information; wherein the bottom surface excitation information is used to reflect the vibration duration and corresponding vibration amplitude of the bottom surface of the automobile oil pan after vibration is applied to the automobile oil pan; A first analysis module, used to analyze according to the bottom surface excitation information to obtain regional modal information; wherein the regional modal information is used to reflect the vibration characteristics of each order region of the bottom surface; A second analysis module is used to analyze according to the regional modal information to obtain bottom surface optimization data; wherein the bottom surface optimization data is used to reflect the optimized height of the stripes in the region of the bottom surface involved in the optimization; A second acquisition module is used to acquire side wall excitation information; wherein the side wall excitation information is used to reflect the vibration amplitude of the side wall of the automobile oil pan; A third analysis module, configured to analyze the bottom surface optimization data and the side wall excitation information to obtain side wall optimization data; An integration module is used to obtain automobile oil pan structure optimization data based on the bottom surface optimization data and the side wall optimization data.
[0015] In a third aspect, an embodiment of the present application provides an automobile oil pan structure optimization device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods described in the first aspect when executing the computer program.
[0016] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.
[0017] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on an automobile oil pan structure optimization device, the automobile oil pan structure optimization device executes the automobile oil pan structure optimization method described in any one of the above-mentioned first aspects.
[0018] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0020] Figure 1 It is a flow chart of a method for optimizing the structure of an automobile oil pan provided in an embodiment of the present application; Figure 2 It is a schematic diagram of the implementation flow of step S300 in the method for optimizing the structure of an automobile oil pan provided in an embodiment of the present application; Figure 3 It is a schematic diagram of the implementation process of step S310 in the method for optimizing the structure of an automobile oil pan provided in an embodiment of the present application; Figure 4 It is a schematic diagram of the implementation flow of step S314 in the automobile oil pan structure optimization method provided in an embodiment of the present application; Figure 5 It is a schematic diagram of the implementation flow of step S3142 in the automobile oil pan structure optimization method provided in an embodiment of the present application; Figure 6 It is a schematic diagram of the implementation flow of step S31422 in the automobile oil pan structure optimization method provided in an embodiment of the present application; Figure 7It is a schematic diagram of the implementation flow of step S320 in the automobile oil pan structure optimization method provided in an embodiment of the present application; Figure 8 It is a schematic diagram of the implementation flow of step S500 in the method for optimizing the structure of an automobile oil pan provided in an embodiment of the present application; Fig. 9 is a structural schematic diagram of an automobile oil pan structure optimization system provided in an embodiment of the present application; Fig.10 It is a structural schematic diagram of the automobile oil pan structure optimization device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0021] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.
[0022] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.
[0023] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0024] As used in the specification of this application and the appended claims, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if it is determined" or "if the described condition or event is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce the described condition or event is detected" or "in response to detecting the described condition or event" depending on the context.
[0025] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.
[0026] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.
[0027] In the automotive industry, the engine oil pan is an important component at the bottom of the engine. Its design and performance directly affect the stability and service life of the engine. The main function of the automobile oil pan is to store engine lubricating oil and provide necessary support for oil circulation.
[0028] However, since the engine generates vibrations during operation, these vibrations will be transmitted to the oil pan at the bottom, which may cause the oil pan to resonate, resulting in noise and potential structural fatigue problems. Existing oil pan designs often focus on strength and stiffness analysis under static conditions, which makes it impossible to accurately evaluate the response characteristics of the automotive oil pan in actual use or at different frequencies, thus affecting the overall performance and durability of the engine.
[0029] To solve the above problems, the embodiments of the present application provide a method, system and device for optimizing the structure of an automobile oil pan. In the method, the bottom surface excitation information is obtained to reflect the vibration duration and corresponding vibration amplitude of the bottom surface of the automobile oil pan after the automobile oil pan is vibrated; then, the bottom surface excitation information is analyzed to obtain regional modal information reflecting the vibration characteristics of each order region of the bottom surface; according to the regional modal information, the bottom surface optimization data reflecting the optimized height of the stripes of the region of the bottom surface involved in the optimization is obtained; then, the side wall excitation information is obtained to reflect the vibration amplitude of the side wall of the automobile oil pan; then, the bottom surface optimization data and the side wall excitation information are analyzed to obtain the side wall optimization data; finally, the automobile oil pan structure optimization data is obtained based on the bottom surface optimization data and the side wall optimization data. This method uses bottom surface excitation information and side wall excitation information to perform modal analysis, which helps to identify areas prone to resonance, and then optimize the design of the bottom surface and side walls in a targeted manner. It can also discover potential problem points in the design stage, thereby improving the performance of the oil pan through structural fine-tuning without significantly increasing production costs. By adjusting the optimized height of the bottom surface stripes and the structural parameters of the side walls, the resonance phenomenon of the oil pan at a specific frequency can be effectively suppressed, thereby significantly reducing the vibration amplitude and noise level within the frequency range generated when the engine is working.
[0030] The automobile oil pan structure optimization method provided in the embodiment of the present application can be applied to the automobile oil pan structure optimization equipment. At this time, the automobile oil pan structure optimization equipment is the executor of the automobile oil pan structure optimization method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the automobile oil pan structure optimization equipment.
[0031] For example, the automobile oil pan structure optimization device can be on terminal devices such as mobile phones, tablet computers, wearable devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), desktop computers, smart large screens, smart TVs, etc., handheld devices with wireless communication functions, computing devices or other processing devices connected to wireless modems, Internet of Things terminals, computers, laptops, handheld communication devices, handheld computing devices, satellite wireless devices, wireless modem cards, TV set top boxes (STB), customer premise equipment (CPE) and / or other devices used to communicate on wireless systems and next-generation communication systems, such as mobile terminals in 5G networks or mobile terminals in future evolved public land mobile networks (PLMN), etc.
[0032] In order to better understand the automobile oil pan structure optimization method provided in the embodiment of the present application, the specific implementation process of the automobile oil pan structure optimization method provided in the embodiment of the present application is exemplarily introduced below.
[0033] Figure 1 A schematic flow chart of a method for optimizing the structure of an automobile oil pan provided in an embodiment of the present application is shown. The method for optimizing the structure of an automobile oil pan comprises: S100, obtaining bottom surface excitation information; wherein the bottom surface excitation information is used to reflect the vibration duration and corresponding vibration amplitude of the bottom surface of the automobile oil pan after different vibration loads are applied to the automobile oil pan.
[0034] It can be understood that the way to apply different vibration loads can be to simulate the vibration environment in actual working conditions through a vibration table, simulate different types of vibration loads by adjusting the frequency and amplitude of the vibration table, and measure the vibration amplitude and duration through sensors installed on the bottom surface of the oil pan; the bottom surface of the oil pan can also be virtually simulated using finite element analysis (FEA) software, that is, to create a three-dimensional model of the oil pan, taking into account material properties, geometric dimensions and boundary conditions. A model is established in the FEA software, including meshing to ensure the accuracy of the simulation, and if the oil pan is a shell structure stamped from steel plates, a two-dimensional shell element is used to divide the mesh; a cast structure uses a three-dimensional solid unit to discretize the oil pan model. Then, by setting the fixed conditions and loading conditions of the model to simulate the vibration loads under different working conditions, by inputting different boundary conditions and load parameters, the response of the oil pan under different vibration conditions can be simulated, etc., but not limited to this.
[0035] S200, analyzing the bottom surface excitation information to obtain regional modal information; wherein the regional modal information is used to reflect the natural frequency and vibration mode of each order region of the bottom surface.
[0036] It can be understood that based on the structure of the engine, the bottom surface of the automobile oil pan is usually not designed as a large plane, but is composed of many small planes of different levels. Then, the small planes are striped and optimized to enhance the dynamic stiffness and vibration damping of the automobile oil pan. The three-dimensional model of the oil pan can be created, and after setting the fixed conditions and loading conditions of the model, modal analysis can be performed on it to calculate the natural frequency and vibration mode of the model. The natural frequency and corresponding vibration mode under different excitations can be obtained by solving the eigenvalue problem using FEA software; vibration sensors and exciters can also be installed on the physical sample of the oil pan design, and the exciter can be used to apply vibration excitation of known frequency to different areas of the oil pan. The vibration response of the bottom surface, including acceleration, displacement and other data, can be recorded through the sensor. Then, signal processing technology (such as Fourier transform) can be used to analyze the sensor data, determine the natural frequency and modal shape of each area, and extract the characteristics of each mode through spectrum analysis.
[0037] S300, analyzing the regional modal information to obtain bottom surface optimization data; wherein the bottom surface optimization data is used to reflect the optimized height of stripes in the bottom surface area involved in the optimization.
[0038] It can be understood that stripe optimization is to arrange some protruding structures on the large flat metal plate shell structure to improve the stiffness, natural frequency and reduce the vibration response and noise performance of the structure. Optimization algorithms (such as genetic algorithms, multi-objective algorithms, etc.) can be used to analyze the regional modal information to calculate the optimal stripe height; finite element models can also be used to simulate the influence of different stripe heights on the dynamic characteristics of the oil pan, that is, to observe the changes in the natural frequency and vibration mode of the oil pan under different stripe heights, and adjust the stripe height to optimize the natural frequency according to the modal analysis results.
[0039] As an optional embodiment of this application, please refer to Figure 2 In step S300, the bottom surface optimization data is obtained by analyzing the regional modal information, including: S310, analyzing the regional modal information to obtain regional optimization information; wherein the regional optimization information is used to reflect the region that needs to be optimized and the corresponding structural parameters.
[0040] It can be understood that the regional optimization information can be obtained through a method based on frequency response analysis, that is, analyzing the natural frequency and modal shape of each area of the bottom surface to identify areas with frequencies close to the external excitation frequency band or unsatisfactory modal shapes; regional optimization information can also be obtained based on vibration modal energy distribution, that is, using modal analysis tools or FEA software to calculate the vibration energy distribution of each area under different modes, analyzing the modal energy distribution, identifying areas with concentrated energy or large vibration amplitude, and obtaining regional optimization information, etc., but not limited to this.
[0041] In one possible implementation, see Figure 3 In step S310, regional optimization information is obtained by analyzing the regional modal information, including: S311, obtaining initial structural information; wherein the initial structural information is used to reflect the structure of the automobile oil pan before optimization.
[0042] It can be understood that the initial structural information can be obtained through design drawings, three-dimensional models, etc.
[0043] S312, analyzing the initial structural information to obtain observation point information; wherein the observation point information is used to reflect the area of the bottom surface where structural optimization can be performed.
[0044] It is understandable that, based on the requirements of design and application, some areas of the bottom surface of the oil pan cannot be optimized. In this case, they do not need to be focused on. Areas that can be optimized can be marked as observation points.
[0045] S313, analyzing the regional modal information and the observation point information to obtain response information of each observation point; wherein the response information is used to reflect the amplitude and acceleration amplitude of the observation point on the bottom surface.
[0046] It can be understood that a detailed modal analysis is performed on the selected observation point, including the amplitude and acceleration amplitude at different frequencies, and the response characteristics of the observation point under different vibration loads are calculated in order to understand the dynamic behavior at a specific frequency.
[0047] S314, analyzing the response information to obtain regional optimization information.
[0048] It can be understood that by analyzing the response information, the area with a larger response and prone to resonance is identified, which is the regional optimization information.
[0049] By setting the observation point in this way, the optimization of the bottom surface structure can be refined and more accurate response information can be obtained. By analyzing the response information, it can be determined which areas need to be optimized and the specific optimization direction. In this way, the height, width and other structural parameters of the stripes can be adjusted more specifically to achieve the best optimization effect.
[0050] In one possible implementation, see Figure 4 In step S314, the response information is analyzed to obtain regional optimization information, including: S3141, analyzing the response information to obtain an amplitude discrete value and an acceleration discrete value; wherein the amplitude discrete value is used to reflect the discrete degree of the amplitude of the observation point under different excitation frequency bands, and the acceleration discrete value is used to reflect the discrete degree of the acceleration of the observation point under different excitation frequency bands.
[0051] It can be understood that for each observation point, its amplitude and acceleration response values are calculated under different excitation frequency bands, and statistical methods (such as standard deviation or coefficient of variation, etc.) are used to calculate the discreteness of the amplitude and acceleration response values, and the amplitude discrete value and acceleration discrete value are obtained respectively. The larger these values are, the greater the response change of the observation point under different excitation frequency bands, and the easier it is to resonate.
[0052] S3142, analyzing the amplitude discrete value and the acceleration discrete value to obtain regional optimization information.
[0053] With this setting, by calculating the discrete values of amplitude and acceleration, the response characteristics of the observation point under different excitation frequency bands can be quantitatively evaluated, thereby identifying the area that needs to be optimized.
[0054] In one possible implementation, see Figure 5 In step S3142, the discrete values of amplitude and acceleration are analyzed to obtain the regional optimization information, including: S31421, compare the amplitude discrete values under different excitation frequency bands with the first preset threshold, compare the acceleration discrete values under different excitation frequency bands with the second preset threshold, filter out observation points whose amplitude discrete values are greater than the first preset threshold and / or whose acceleration discrete values are greater than the second preset threshold, and obtain a pre-optimized area group.
[0055] It can be understood that the first preset threshold is a preset amplitude discrete threshold, and the second preset threshold is a preset acceleration discrete threshold. They can be manually input or obtained from the optimization database, etc., but are not limited to this. The optimization database is a database containing the first preset threshold and the second preset threshold corresponding to various types of automobile oil pans. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and past experience. After acquisition, the collected data will be sorted, classified and archived, useful information and rules will be extracted, and the relevant data will be saved in the database to form an optimized material database. At least one of the amplitude discrete value and the acceleration discrete value of the observation point in the pre-optimized area group under any excitation frequency band is greater than the preset threshold.
[0056] S31422, performing analysis based on the pre-optimized region group to obtain region optimization information.
[0057] It can be understood that the pre-optimized area group further reduces the analysis scope, and by analyzing the pre-optimized area group, the area that needs to be optimized can be determined. The finite element model can be constructed through the observation points in the pre-optimized area group, and the modal analysis of these observation points can be performed through numerical simulation methods (such as finite element analysis software). According to the results of the modal analysis, the area that needs to be optimized can be determined; the pre-optimized area group can also be matched with the data in the optimization database to obtain the final regional optimization information, that is, according to the observation points in the pre-optimized area group, similar cases in the optimization database are found, and the empirical formulas or optimization strategies in these cases are applied to obtain regional optimization information, etc., but not limited to this.
[0058] In one possible implementation, see Figure 6 In step S31422, the pre-optimized region group is analyzed to obtain region optimization information, including: S314221, including observation points corresponding to amplitude discrete values greater than a first preset threshold and acceleration discrete values greater than a second preset threshold in the same excitation frequency band in the pre-optimized region group into the first region optimization information of the region optimization information.
[0059] It can be understood that the area where the amplitude discrete value and acceleration discrete value of the observation point in the same excitation frequency band are both greater than the preset threshold is the area that must be optimized, that is, it is included in the first area optimization information. For example, assuming that the amplitude discrete value of the 1# observation point in the excitation frequency band of 1800HZ is 587HZ, and the acceleration discrete value is 30m / s 2 , the amplitude discrete value of observation point 2# is 502HZ, and the acceleration discrete value is 15m / s 2 , and when the first preset threshold is 400 and the second preset threshold is 20, 1# is included in the first area optimization information, and so on.
[0060] S314222, calculating the correlation between the observation points in the pre-optimized region group that are not included in the first region optimization information and the observation points in the first region optimization information.
[0061] It can be understood that the correlation is used to reflect the maximum degree of connection between the observation points that are not included in the first area optimization information and the observation points in the first area optimization information. The correlation can be represented by distance or module. The shorter the distance, the higher the correlation. The higher the correlation is in the same module. The division of modules can be determined based on structural characteristics, such as geometric position, structural similarity, material properties, connection method, vibration propagation path, etc. The observation points in the pre-optimized area group are preliminarily grouped according to the division basis. For example, the observation points are grouped according to their positions on the oil pan (front, middle, rear, etc.). For each group in the preliminary grouping, it is further subdivided according to other structural characteristics. For example, for the "front" grouping, it can be further subdivided according to structural similarity (such as stripe area), and the corresponding correlation is obtained through the connection between each grouping.
[0062] S314223, incorporate observation points whose correlation is less than a third preset threshold into the second region optimization information to obtain second region optimization information of the region optimization information.
[0063] It can be understood that the third preset threshold is a pre-set correlation, which can be manually input or obtained from the optimization database, etc., but is not limited to this. When the correlation between the observation point and the observation point of the first area optimization information is greater than or equal to the third preset threshold, after the observation point of the first area optimization information is optimized, the impact on the observation point is greater, and the vibration characteristics of the observation point can be improved. Moreover, the observation point only has a high amplitude discrete value or acceleration discrete value in a certain frequency band, and there is no need to optimize the observation point; when the correlation between the observation point and the observation point of the first area optimization information is less than the third preset threshold, it means that after the observation point of the first area optimization information is optimized, the impact on the observation point is small, and the observation point needs to be optimized and included in the second area optimization information.
[0064] With such a setting, by incorporating the areas where both the amplitude discrete value and the acceleration discrete value are greater than the preset threshold into the optimization information of the first area, the key areas that must be optimized can be accurately identified, which can ensure that the optimization process is more targeted and avoid unnecessary optimization attempts; by calculating the correlation and incorporating the observation points with lower correlation into the optimization information of the second area, it can be ensured that the optimization process fully covers the areas that are closely related to the key areas but not directly included in the optimization, which can improve the comprehensiveness and effectiveness of the optimization and ensure the improvement of the overall performance. By accurately identifying the optimization needs and fully covering the optimization areas, the flexibility and adaptability of the oil pan design can be improved.
[0065] S320, analyzing the regional optimization information to obtain bottom surface optimization data.
[0066] It can be understood that an optimization algorithm (such as genetic algorithm, multi-objective algorithm, etc.) can be used to analyze the regional optimization information to calculate the optimal stripe height; a finite element model can also be used to simulate the influence of different stripe heights on the dynamic characteristics of the oil pan, that is, to observe the changes in the natural frequency and vibration mode of the oil pan at different stripe heights, and adjust the stripe height to optimize the natural frequency according to the modal analysis results.
[0067] In one possible implementation, see Figure 7 In step S320, the bottom surface optimization data is obtained by analyzing the regional optimization information, including: S321, obtaining a height optimization range; wherein the height optimization range is used to reflect the size of the convex design that can be performed at each observation point of the regional optimization information.
[0068] It is understood that the height optimization range is set based on the engine mechanism, the overall structure of the vehicle, and the oil pan design requirements, and can be manually input or obtained from the optimization database, etc., but is not limited thereto. Different observation points may correspond to different height optimization ranges.
[0069] S322, bringing the highly optimized range into the traversal function to obtain a highly optimized process; wherein the highly optimized process is used to reflect the frequency response value corresponding to bringing the highly optimized range of each observation point into the traversal function by permutation and combination.
[0070] It can be understood that the specific index in the highly optimized range corresponding to each observation point in the regional optimization information is sequentially brought into the traversal function , where Y is the normalized vibration response value, φ i is the optimized height of the i-th observation point, W i is the modal weight coefficient, By traversing the function and recording the frequency response value changes at different heights, a height optimization history data graph is generated.
[0071] S323, obtaining bottom surface optimization data based on the height optimization process.
[0072] It can be understood that the best optimized height for each observation point can be obtained during the height optimization process, and the best design parameters can be summarized into bottom surface optimization data.
[0073] S400, obtaining side wall excitation information; wherein the side wall excitation information is used to reflect the vibration amplitude of the side wall of the automobile oil pan.
[0074] It can be understood that the side wall excitation information can be obtained in a similar manner to the bottom surface excitation information obtained in step S100.
[0075] S500: Analyze the bottom surface optimization data and the side wall excitation information to obtain the side wall optimization data.
[0076] It is understandable that after the stripe optimization of the bottom surface, the vibration response of the side wall will also change. After simulation optimization is performed based on the bottom surface optimization data, modal analysis can be performed to obtain the modal vibration data of the side wall, and then the side wall excitation information and the modal vibration data of the side wall are combined to obtain the side wall optimization data; the side wall optimization data can also be obtained by performing modal analysis on the side wall excitation information and the degree of correlation with the bottom surface stripe optimization data, etc., but not limited to this.
[0077] In one possible implementation, see Figure 8 In step S500, the bottom surface optimization data and the side wall excitation information are analyzed to obtain the side wall optimization data, including: S510, analyzing the side wall excitation information to obtain an excitation response frequency band; wherein the excitation response frequency band is used to indicate that the vibration amplitude of the side wall is greater than the excitation frequency band corresponding to the preset amplitude.
[0078] It can be understood that vibration response data can be extracted from the side wall excitation information, the response amplitude of each frequency band can be analyzed, and the frequency bands whose vibration amplitude is significantly greater than the preset amplitude under a specific excitation frequency band can be found. These frequency bands can be recorded and marked as excitation response frequency bands to obtain excitation response frequency bands.
[0079] S520, filter out the excitation response frequency band that is smaller than the preset excitation frequency band, and obtain the corresponding area to be optimized; wherein the area to be optimized is used to reflect the area of the side wall that may need to be designed with reinforcement ribs.
[0080] It can be understood that the preset excitation frequency band is a preset excitation frequency band range, which can be set manually or obtained from an optimization database, etc., but is not limited thereto. If the vibration response of the side wall reflects a large amplitude when it is less than the preset excitation frequency band, it means that the area may need to be optimized, and the areas corresponding to all excitation response frequency bands less than the preset excitation frequency band are marked and counted to obtain the area to be optimized.
[0081] S530, performing simulation analysis based on the bottom surface optimization data to obtain a bottom surface optimization structure.
[0082] It can be understood that according to the bottom surface optimization data, a detailed simulation model of the bottom surface can be created using finite element analysis software or other simulation tools, including optimized design parameters and structural improvements, to obtain an optimized bottom surface structural design.
[0083] S540, calculating the crowding distance between the bottom surface optimization structure and the area to be optimized; wherein the crowding distance is used to reflect the relative distance between the stripes of the area to be optimized and the bottom surface after optimization.
[0084] It can be understood that the crowding distance refers to the spatial distance or overlap between the optimized bottom surface structure and the area to be optimized, which is used to evaluate the design conflict or space utilization of these areas. After obtaining the bottom surface optimized structure, the detailed design data of the bottom surface optimized structure is obtained, and the distance or overlap area between the optimized structure and the area to be optimized is calculated. This calculation usually involves geometric analysis and spatial calculation.
[0085] S550, screening out crowding distances greater than a preset crowding distance to obtain an optimized region; wherein the optimized region is used to reflect the region of the side wall that requires rib design.
[0086] It can be understood that the pre-optimized area corresponding to the crowding distance less than the preset crowding distance may have reduced vibration response after the bottom surface is optimized, and there may also be insufficient design space. Therefore, the area to be optimized is further screened to obtain the area of the side wall that needs to be optimized.
[0087] S560, analyzing the optimized area to obtain side wall optimization data.
[0088] It can be understood that after determining the optimization area, the structural parameters of the side wall in the model are adjusted according to the side wall excitation information, such as the size and shape of the reinforcement ribs. The finite element analysis software is used to perform modal analysis, static analysis, etc. on the adjusted model. Based on the results of the simulation analysis, a specific side wall optimization plan is formulated.
[0089] S600, obtains the structural optimization data of the automobile oil pan based on the bottom surface optimization data and the side wall optimization data.
[0090] It can be understood that after the bottom surface optimization data and the side wall optimization data are integrated, the overall structural design of the model is performed to obtain the structure of the automobile oil pan.
[0091] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0092] Corresponding to the automobile oil pan structure optimization method described in the above embodiment, the embodiment of the present application also provides an automobile oil pan structure optimization system, and each module of the system can implement each step of the automobile oil pan structure optimization method. Fig. 9 A structural block diagram of an automobile oil pan structure optimization system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.
[0093] Reference Fig. 9 , the automobile oil pan structure optimization system includes: The first acquisition module is used to acquire bottom surface excitation information; wherein the bottom surface excitation information is used to reflect the vibration duration and corresponding vibration amplitude of the bottom surface of the automobile oil pan after vibration is applied to the automobile oil pan.
[0094] The first analysis module is used to analyze the bottom surface excitation information to obtain regional modal information; wherein the regional modal information is used to reflect the vibration characteristics of each order region of the bottom surface.
[0095] The second analysis module is used to analyze according to the regional modal information to obtain bottom surface optimization data; wherein the bottom surface optimization data is used to reflect the optimized height of the stripes in the area of the bottom surface involved in the optimization.
[0096] The second acquisition module is used to acquire side wall excitation information; wherein the side wall excitation information is used to reflect the vibration amplitude of the side wall of the automobile oil pan.
[0097] The third analysis module is used to analyze the bottom surface optimization data and the side wall excitation information to obtain the side wall optimization data.
[0098] The integration module is used to obtain the structural optimization data of the automobile oil pan based on the bottom surface optimization data and the side wall optimization data.
[0099] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.
[0100] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above modules is used as an example for illustration. In practical applications, the above functions can be assigned to different modules as needed, that is, the internal structure of the system can be divided into different modules to complete all or part of the functions described above. The modules in the embodiment can be integrated into a processing unit, or each module can exist physically alone, or two or more modules can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the modules are only for the convenience of distinguishing from each other, and are not used to limit the scope of protection of this application. The specific working process of the modules in the above system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.
[0101] The present application also provides a vehicle oil pan structure optimization device, Fig.10 This is a schematic diagram of the structure of an automobile oil pan structure optimization device 6 provided in one embodiment of the present application. Fig.10 As shown, the automobile oil pan structure optimization device 6 of this embodiment includes: at least one processor 60 ( Fig.10 Only one is shown), at least one memory 61 ( Fig.10 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the automobile oil pan structure optimization device 6 implements the steps in any of the above-mentioned embodiments of the automobile oil pan structure optimization method, or implements the functions of the modules in the above-mentioned system embodiments.
[0102] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the automobile oil pan structure optimization device 6.
[0103] The automobile oil pan structure optimization device 6 can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The automobile oil pan structure optimization device can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Fig.10It is only an example of the automobile oil pan structure optimization device 6 and does not constitute a limitation of the automobile oil pan structure optimization device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, buses, etc.
[0104] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.
[0105] In some embodiments, the memory 61 may be an internal storage unit of the automobile oil pan structure optimization device 6, such as a hard disk or memory of the automobile oil pan structure optimization device 6. In other embodiments, the memory 61 may also be an external storage device of the automobile oil pan structure optimization device 6, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the automobile oil pan structure optimization device 6. Further, the memory 61 may also include both the internal storage unit of the automobile oil pan structure optimization device 6 and an external storage device. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 61 may also be used to temporarily store data that has been output or is to be output.
[0106] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.
[0107] An embodiment of the present application provides a computer program product. When the computer program product runs on an automobile oil pan structure optimization device, the automobile oil pan structure optimization device implements the steps in any of the above-mentioned method embodiments.
[0108] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the automobile oil pan structure optimization device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.
[0109] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0110] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0111] In the embodiments provided in the present application, it should be understood that the disclosed automobile oil pan structure optimization device and system can be implemented in other ways. For example, the above-described automobile oil pan structure optimization system embodiment is only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.
[0112] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0113] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A method for optimizing the structure of an automobile oil pan, characterized in that: include: Acquire bottom surface excitation information; wherein the bottom surface excitation information is used to reflect the vibration duration and corresponding vibration amplitude of the bottom surface of the automobile oil pan after different vibration loads are applied to the automobile oil pan; Analyze the bottom surface excitation information to obtain regional modal information; wherein the regional modal information is used to reflect the natural frequency and vibration mode of each order region of the bottom surface; Analyzing the regional modal information to obtain bottom surface optimization data; wherein the bottom surface optimization data is used to reflect the optimized height of the stripes in the region of the bottom surface involved in the optimization; Acquire side wall excitation information; wherein the side wall excitation information is used to reflect the vibration amplitude of the side wall of the automobile oil pan; Analyze the bottom surface optimization data and the side wall excitation information to obtain side wall optimization data; The vehicle oil pan structure optimization data is obtained based on the bottom surface optimization data and the side wall optimization data.
2. The method for optimizing the structure of an automobile oil pan according to claim 1, characterized in that: The step of analyzing the regional modal information to obtain bottom surface optimization data includes: Analyze the regional modal information to obtain regional optimization information; wherein the regional optimization information is used to reflect the region that needs to be optimized and the corresponding structural parameters; An analysis is performed based on the regional optimization information to obtain bottom surface optimization data.
3. The method for optimizing the structure of an automobile oil pan as claimed in claim 2, characterized in that: The analyzing according to the regional modal information to obtain regional optimization information includes: Acquiring initial structural information; wherein the initial structural information is used to reflect the structure of the automobile oil pan before optimization; Analyzing the initial structural information to obtain observation point information; wherein the observation point information is used to reflect the area of the bottom surface where structural optimization can be performed; Analyze the regional modal information and the observation point information to obtain response information of each observation point; wherein the response information is used to reflect the amplitude and acceleration amplitude of the observation point on the bottom surface; An analysis is performed based on the response information to obtain regional optimization information.
4. The method for optimizing the structure of an automobile oil pan as claimed in claim 3, characterized in that: The analyzing according to the response information to obtain the regional optimization information includes: Analyze the response information to obtain an amplitude discrete value and an acceleration discrete value; wherein the amplitude discrete value is used to reflect the discrete degree of the amplitude of the observation point under different excitation frequency bands, and the acceleration discrete value is used to reflect the discrete degree of the acceleration of the observation point under different excitation frequency bands; The regional optimization information is obtained by analyzing the amplitude discrete value and the acceleration discrete value.
5. The method for optimizing the structure of an automobile oil pan as claimed in claim 4, characterized in that: The analyzing according to the amplitude discrete value and the acceleration discrete value to obtain the regional optimization information includes: Comparing the amplitude discrete values under different excitation frequency bands with a first preset threshold, and comparing the acceleration discrete values under different excitation frequency bands with a second preset threshold, screening out the observation points whose amplitude discrete values are greater than the first preset threshold and / or whose acceleration discrete values are greater than the second preset threshold, to obtain a pre-optimized region group; An analysis is performed based on the pre-optimized region group to obtain region optimization information.
6. The method for optimizing the structure of an automobile oil pan as claimed in claim 5, characterized in that: The analyzing according to the pre-optimized area group to obtain the area optimization information includes: Incorporating the observation points corresponding to the amplitude discrete values greater than the first preset threshold and the acceleration discrete values greater than the second preset threshold in the same excitation frequency band in the pre-optimized region group into the first region optimization information of the region optimization information; calculating the correlation between the observation point in the pre-optimized area group that is not included in the first area optimization information and the observation point in the first area optimization information; The observation points whose correlation is less than the third preset threshold are included in the second region optimization information to obtain the second region optimization information of the region optimization information.
7. The method for optimizing the structure of an automobile oil pan as claimed in claim 6, characterized in that: The step of analyzing the area optimization information to obtain bottom surface optimization data includes: Acquire a height optimization range; wherein the height optimization range is used to reflect the size of the convex design that can be performed at each observation point of the regional optimization information; Bringing the highly optimized range into the traversal function to obtain a highly optimized history; wherein the highly optimized history is used to reflect the frequency response value corresponding to the highly optimized range of each observation point brought into the traversal function by permutation and combination; The bottom surface optimization data is obtained based on the height optimization history.
8. The method for optimizing the structure of an automobile oil pan as claimed in claim 1, characterized in that: The step of analyzing the bottom surface optimization data and the side wall excitation information to obtain the side wall optimization data includes: Analyze the side wall excitation information to obtain an excitation response frequency band; wherein the excitation response frequency band is used to indicate that the vibration amplitude of the side wall is greater than the excitation frequency band corresponding to the preset amplitude; The excitation response frequency band that is smaller than the preset excitation frequency band is screened out to obtain the corresponding area to be optimized; wherein the area to be optimized is used to reflect the area of the side wall that may need to be designed with reinforcement ribs; Perform simulation analysis based on the bottom surface optimization data to obtain a bottom surface optimization structure; Calculating the crowding distance between the bottom surface optimization structure and the area to be optimized; wherein the crowding distance is used to reflect the relative distance between the area to be optimized and the stripes of the bottom surface after optimization; The crowding distance that is greater than the preset crowding distance is screened out to obtain an optimized area; wherein the optimized area is used to reflect the area of the side wall that needs to be designed with reinforcing ribs; An analysis is performed based on the optimized area to obtain sidewall optimization data.
9. An automobile oil pan structure optimization system, characterized in that: include: A first acquisition module is used to acquire bottom surface excitation information; wherein the bottom surface excitation information is used to reflect the vibration duration and corresponding vibration amplitude of the bottom surface of the automobile oil pan after vibration is applied to the automobile oil pan; A first analysis module, used to analyze according to the bottom surface excitation information to obtain regional modal information; wherein the regional modal information is used to reflect the vibration characteristics of each order region of the bottom surface; A second analysis module is used to analyze according to the regional modal information to obtain bottom surface optimization data; wherein the bottom surface optimization data is used to reflect the optimized height of the stripes in the region of the bottom surface involved in the optimization; A second acquisition module is used to acquire side wall excitation information; wherein the side wall excitation information is used to reflect the vibration amplitude of the side wall of the automobile oil pan; A third analysis module, configured to analyze the bottom surface optimization data and the side wall excitation information to obtain side wall optimization data; An integration module is used to obtain automobile oil pan structure optimization data based on the bottom surface optimization data and the side wall optimization data.
10. An automobile oil pan structure optimization device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 8 when executing the computer program.
Citation Information
Patent Citations
Oil pan design method and device and computer readable storage medium
CN110135106A
Oil pan optimization method and device, computer equipment and medium
CN110222413A