Vehicle cast aluminum part optimization method and device, electronic equipment and readable storage medium

Abstract

The present disclosure relates to a method and device for optimizing a cast aluminum part of a vehicle, an electronic device and a readable storage medium, and relates to the technical field of vehicle painting. The method comprises: obtaining a three-dimensional model of the cast aluminum part; constructing a travel route model of the cast aluminum part, the travel route model being motion path information for painting the cast aluminum part; converting the three-dimensional model of the cast aluminum part into a specified file, performing a mesh division operation based on the specified file to obtain a mesh model of the cast aluminum part, and the specified file being used to describe the surface geometry of the three-dimensional model; and optimizing the cast aluminum part according to the analysis result of the gas trapping and liquid trapping condition of the cast aluminum part based on the mesh model and the travel route model. The present disclosure can improve the corrosion resistance of the cast aluminum part by analyzing and optimizing the gas trapping and liquid trapping condition of the cast aluminum part.

Description

Technical Field

[0001] This disclosure relates to the field of vehicle painting technology, and more particularly to a method, apparatus, electronic device, and readable storage medium for optimizing cast aluminum parts of vehicles. Background Technology

[0002] Currently, electrophoretic coating, an immersion method, is commonly used in vehicle manufacturing. Electrophoretic coating utilizes an external electric field to cause pigments and resin particles suspended in an electrophoretic solution to migrate directionally and deposit onto the surface of a substrate, which is one of the electrodes. However, problems such as air and liquid trapping may occur in the electrophoretic coating process, which can significantly impact the corrosion resistance of the vehicle body. Summary of the Invention

[0003] To overcome the problems existing in the related technologies, this disclosure provides a method, apparatus, electronic device and readable storage medium for optimizing cast aluminum parts of vehicles.

[0004] According to a first aspect of the present disclosure, a method for optimizing cast aluminum parts of a vehicle is provided, comprising: A three-dimensional model of the cast aluminum part is obtained, and a travel path model of the cast aluminum part is constructed. The travel path model is the motion path information for painting the cast aluminum part. The three-dimensional model of the cast aluminum part is converted into a specified file, and a mesh generation operation is performed based on the specified file to obtain the mesh model of the cast aluminum part. The specified file is used to describe the surface geometry of the three-dimensional model. Based on the analysis results of the gas and liquid trapping conditions of the cast aluminum part using the mesh model and the travel path model, the cast aluminum part is optimized.

[0005] Optionally, constructing the travel path model of the cast aluminum part includes: Obtain the design drawings of the cast aluminum parts in the pretreatment and electrophoresis process sections; Based on the design drawings, the travel route information of the body-in-white is extracted, and the zero-point position relationship of the cast aluminum part relative to the body-in-white is extracted. The body-in-white includes the cast aluminum part. The travel route model is constructed based on the travel route information and the zero point position relationship.

[0006] Optionally, the travel route information includes at least one of the following: The design coordinates of the body-in-white; The entry and exit angles and relative positions of the body-in-white in the pretreatment and electrophoresis process sections; Information on the hump angle and relative position of the body-in-white during the pretreatment and electrophoresis processes; The distances of the white body in the X and Z directions; The rotation angle and travel speed of the white body in the Y direction.

[0007] Optionally, the step of performing a mesh generation operation based on the specified file to obtain the mesh model of the cast aluminum part includes: The specified file is input into the simulation software to identify the properties of the cast aluminum part, which include at least one of material properties, surface roughness, and dimensions. Based on the attributes and the specified file, a mesh generation operation is performed to obtain the mesh model of the cast aluminum part.

[0008] Optionally, the method further includes: The dimensions of holes and gaps on the mesh model are identified, and the exhaust path and state at each time point on the travel route model are calculated to obtain the air distribution. The dimensions of holes and gaps on the mesh model are identified, and the amount of liquid residue at each time point on the travel route model is calculated to obtain the liquid distribution. The analysis results are determined based on the gas distribution and the liquid distribution.

[0009] Optionally, the gas distribution includes the gas-collecting area distribution, gas-collecting time, and gas-collecting area, and the liquid distribution includes the liquid-collecting area distribution, liquid volume, and liquid height.

[0010] Optionally, the coating process includes pretreatment and electrophoresis, and the method further includes: Obtain the properties of the fluids corresponding to the pretreatment and electrophoresis; The method for calculating two-phase flow based on Bernoulli's principle combines the characteristics of the fluid, the mesh model, and the path model to obtain the analysis results.

[0011] According to a second aspect of the present disclosure, a device for optimizing cast aluminum parts of a vehicle is provided, comprising: The acquisition module is configured to acquire a three-dimensional model of the cast aluminum part and construct a travel path model of the cast aluminum part, wherein the travel path model is the motion path information for painting the cast aluminum part; The conversion module is configured to convert the three-dimensional model of the cast aluminum part into a specified file, perform a mesh generation operation based on the specified file to obtain a mesh model of the cast aluminum part, wherein the specified file is used to describe the surface geometry of the three-dimensional model; The optimization module is configured to optimize the aluminum casting based on the analysis results of the gas and liquid trapping conditions of the aluminum casting using the mesh model and the travel path model.

[0012] According to a third aspect of the present disclosure, an electronic device is provided, the electronic device comprising: processor; Memory used to store processor-executable instructions; The processor is configured as follows: A three-dimensional model of the cast aluminum part is obtained, and a travel path model of the cast aluminum part is constructed. The travel path model is the motion path information for painting the cast aluminum part. The three-dimensional model of the cast aluminum part is converted into a specified file, and a mesh generation operation is performed based on the specified file to obtain the mesh model of the cast aluminum part. The specified file is used to describe the surface geometry of the three-dimensional model. Based on the analysis results of the gas and liquid trapping conditions of the cast aluminum part using the mesh model and the travel path model, the cast aluminum part is optimized.

[0013] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the steps of the method for optimizing cast aluminum parts of a vehicle provided in the first aspect of the present disclosure.

[0014] According to a fifth aspect of the present disclosure, a computer program product is provided, which, when executed by a processor, implements the steps of the method for optimizing cast aluminum parts of a vehicle provided in the first aspect of the present disclosure.

[0015] This disclosure optimizes cast aluminum parts by analyzing the gas and liquid trapping conditions, thereby reducing the design cost of cast aluminum parts. Specifically, a three-dimensional model of the cast aluminum part is obtained, and a travel path model of the cast aluminum part is constructed. The travel path model contains the motion path information for coating the cast aluminum part. Based on this, the three-dimensional model of the cast aluminum part is converted into a specified file, and a mesh generation operation is performed based on the specified file to obtain a mesh model of the cast aluminum part. Finally, the cast aluminum part is optimized based on the analysis results of the gas and liquid trapping conditions of the cast aluminum part using the mesh model and the travel path model. Since the optimization is carried out on the basis of completing the gas and liquid trapping analysis, it can improve the corrosion resistance quality of the cast aluminum part to a certain extent.

[0016] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0018] Figure 1 This is a flowchart illustrating a method for optimizing cast aluminum parts of a vehicle according to an exemplary embodiment.

[0019] Figure 2 This is a block diagram illustrating a device for optimizing cast aluminum parts of a vehicle according to an exemplary embodiment.

[0020] Figure 3 This is a block diagram illustrating an electronic device according to an exemplary embodiment.

[0021] Figure 4 This is a block diagram illustrating a chip system according to an exemplary embodiment. Detailed Implementation

[0022] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0023] Although operations or steps are described in a specific order in the accompanying drawings in the embodiments of this disclosure, it should not be construed as requiring these operations or steps to be performed in the specific order or serial order shown, or requiring all of the shown operations or steps to be performed to obtain the desired result. In the embodiments of this disclosure, these operations or steps may be performed serially; they may be performed in parallel; or a portion of these operations or steps may be performed.

[0024] With intensifying competition in the automotive market, manufacturers are focusing on improving vehicle quality as a key competitive advantage, with lightweighting of the body-in-white (BIS) structure being a particular focus. Related technologies utilize unibody cast aluminum components to replace conventional BIS structures such as front and rear shock absorbers, front and rear longitudinal beams, and front and rear floors, resulting in significant weight reduction. However, compared to commonly used sheet metal parts, cast aluminum components have a more complex structure, leading to increased issues of air and liquid accumulation during pretreatment and electrophoresis processes in the painting workshop. This significantly impacts the corrosion resistance of the vehicle body. Therefore, concurrent engineering analysis during the painting process is crucial in vehicle development, enabling the elimination of product defects and manufacturing risks at the design stage.

[0025] In the concurrent engineering analysis of coating processes, engineers can use experience to identify potential areas of components where gas or liquid may trap. However, errors and omissions are inevitable during the analysis process. Furthermore, the complex structure of cast aluminum parts increases the probability of errors.

[0026] In addition, cast aluminum parts analyzed by engineers usually need to undergo multiple rounds of trial production to verify whether the synchronous process analysis has avoided the problems of gas and liquid entrapment. This process has a long analysis cycle, which will significantly increase the design cost for cast aluminum parts.

[0027] To address the aforementioned issues, this disclosure proposes an optimization method for cast aluminum parts in vehicles. This method can perform simulation analysis on cast aluminum parts, quickly obtain all air and liquid trapping structures, and propose targeted optimization schemes for the product structure. This can shorten the R&D cycle of cast aluminum parts, reduce costs, and improve corrosion resistance.

[0028] Figure 1 This is a flowchart illustrating a method for optimizing cast aluminum parts of a vehicle according to an exemplary embodiment, such as... Figure 1 As shown, the method includes the following steps.

[0029] In step S110, a three-dimensional model of the cast aluminum part is obtained, and a travel path model of the cast aluminum part is constructed. The travel path model is the motion path information for painting the cast aluminum part.

[0030] The embodiments disclosed herein can be applied to simultaneous analysis of coating processes, and the application scenario can be a scenario where cast aluminum parts are present in the body-in-white.

[0031] In the process of optimizing cast aluminum parts, embodiments of this disclosure can obtain a three-dimensional model of the cast aluminum part. The cast aluminum part can be a component on a vehicle, and this three-dimensional model can be obtained based on the component's design drawings. It can be a three-dimensional structural model of the cast aluminum part. The component's design drawings can include information such as the dimensions, shape, hole positions, and wall thickness of the cast aluminum part. These design drawings can exist in two-dimensional form, such as engineering drawings.

[0032] In some embodiments, the three-dimensional model of the cast aluminum part may include information such as the geometry, wall thickness distribution, connection structure, material properties, manufacturing process characteristics, and surface details of the cast aluminum part. Embodiments of this disclosure allow the design drawings of the cast aluminum part to be input into three-dimensional modeling software to obtain a three-dimensional model.

[0033] In other embodiments, the present disclosure can construct a travel path model for the cast aluminum part, which can be the motion path information for coating the cast aluminum part. Here, the coating process can include pretreatment and electrophoresis, that is, the travel path model can be the motion path information for pretreatment and electrophoresis of the cast aluminum part.

[0034] Specifically, in this embodiment, the design drawings of the cast aluminum parts in the pretreatment and electrophoresis process can be obtained. Based on these drawings, the travel route information of the body-in-white can be extracted, and the zero-point position relationship of the cast aluminum parts relative to the body-in-white can be extracted. The body-in-white may include the cast aluminum parts. Finally, a travel route model is constructed based on the travel route information and the zero-point position relationship.

[0035] Here, the travel route information may include at least one of the following: the design coordinates of the body-in-white, the entry and exit angles and relative positions of the body-in-white in the pretreatment and electrophoresis process section, the hump angles and relative positions of the body-in-white in the pretreatment and electrophoresis process section, the distance of the body-in-white in the X and Z directions, the rotation angle and travel speed of the body-in-white in the Y direction.

[0036] As a specific implementation method, this embodiment of the present disclosure can extract the travel route information of the body-in-white and the positional relationship of the cast aluminum part relative to the zero point of the body-in-white based on the design drawings of the pretreatment and electrophoresis process section. On this basis, a travel route model of the cast aluminum part in the pretreatment and electrophoresis process section can be established according to the extracted travel route information and positional relationship.

[0037] For example, the body-in-white travel route information may include parameters such as the body-in-white design coordinates, the angle and relative position information of entering and exiting the tanks in the pretreatment and electrophoresis process sections, the hump angle and relative position information, the distance in the X and Z directions and the rotation angle in the Y direction, and the travel speed. Optionally, the positional relationship of the cast aluminum part relative to the zero point of the body-in-white may include the distance in the X, Y, and Z directions.

[0038] As an alternative approach, after obtaining parameter information such as the travel path information of the body-in-white and the positional relationship of the cast aluminum part relative to the zero point of the body-in-white, the embodiments of this disclosure can input these parameter information into three-dimensional design software to establish a travel path model of the cast aluminum part in the pretreatment and electrophoresis process sections through the three-dimensional design software.

[0039] In step S120, the three-dimensional model of the cast aluminum part is converted into a specified file, and a mesh generation operation is performed based on the specified file to obtain the mesh model of the cast aluminum part.

[0040] As an alternative approach, after obtaining the three-dimensional model of the cast aluminum part, embodiments of this disclosure can convert the three-dimensional model into a specified file. The specified file can be a standard format for describing three-dimensional geometry, that is, the specified file can be used to describe the surface geometry of the three-dimensional model.

[0041] The specified file can use a series of discrete triangular patches to describe the shape of a 3D surface; that is, the specified file can be used to describe the surface geometry information of a 3D model. For example, the specified file may include information such as triangular patches, vertex coordinates, and normal vectors. Furthermore, the specified file can be in binary or text format.

[0042] It should be noted that, before converting the 3D model of the cast aluminum part into a specified file, this embodiment of the disclosure can preprocess the 3D model. Specifically, to ensure the quality of the data model (3D model), this embodiment of the disclosure can determine whether the surface of the 3D model is free of damage and whether the cast aluminum part interferes with surrounding parts. If there are damaged surfaces or interference with surrounding parts, the damaged surfaces or interfering parts can be processed first.

[0043] As an optional approach, after obtaining the specified file, this embodiment of the disclosure can perform a mesh generation operation based on the specified file to obtain a mesh model of the cast aluminum part. Specifically, simulation software is used to automatically generate the mesh and output the mesh model of the cast aluminum part. During this process, the simulation software can identify the specified file to determine the properties of the cast aluminum part. Based on this, the surface of the three-dimensional model is divided according to the properties to obtain a mesh model, thus preserving the surface features of the cast aluminum part. The properties of the cast aluminum part may include at least one of material properties, surface roughness, and dimensions.

[0044] In other words, this embodiment of the disclosure can first input a specified file into simulation software to identify the properties of the cast aluminum part. Based on this, a mesh generation operation is performed based on the properties and the specified file to obtain a mesh model of the cast aluminum part. That is, according to the properties of the cast aluminum part, this embodiment of the disclosure can perform mesh generation on the three-dimensional model corresponding to the specified file. In addition, the properties of the cast aluminum part may also include casting performance, thermal performance, etc.

[0045] In step S130, the aluminum casting is optimized based on the analysis results of the gas and liquid trapping conditions of the aluminum casting using the mesh model and the travel path model.

[0046] As an alternative approach, after obtaining the mesh model and travel path model of the cast aluminum part, the embodiments of this disclosure can analyze the gas and liquid accumulating conditions of the cast aluminum part based on the mesh model and travel path model to obtain the analysis results of gas and liquid accumulating conditions.

[0047] Specifically, the embodiments of this disclosure can identify the size of holes and gaps on the mesh model, and calculate the exhaust path and state at each time point on the travel route model to obtain the air distribution.

[0048] For example, the travel route model and the cast aluminum part mesh model are input into the computer simulation software. The gas venting simulation module is selected. Through the background of the gas venting simulation module software, the size of the holes and gaps on the cast aluminum part can be identified, the exhaust path and state at each time point on the travel route model can be calculated, and the gas venting area distribution can be output.

[0049] Optionally, the dimensions of holes and gaps on the mesh model are identified, and the amount of liquid residue at each time point on the travel path model is calculated to obtain the liquid distribution. For example, after the mesh model is input into simulation software, the simulation software can divide it into fluid volume model units, construct an equilibrium system of the fluid volume model units based on Bernoulli's equation, simulate and calculate the liquid motion state of the cast aluminum during pretreatment and electrophoresis, and finally output the liquid distribution of the pooling area.

[0050] Based on this, the analysis results for gas and liquid trapping are determined according to the gas and liquid distribution. Here, the analysis results for gas and liquid trapping can include both gas and liquid analysis results. The gas analysis results can be obtained through the gas trapping simulation module, and the liquid analysis results can be obtained through the liquid trapping simulation module.

[0051] As a specific implementation method, this embodiment of the disclosure can calculate the distribution of air pocket positions, the residence area of ​​bubbles, and the residence time of bubbles on the surface of various parts of the cast aluminum part based on the air pocket simulation module. In other words, the air pocket distribution can include the distribution of air pocket areas, the air pocket time, and the air pocket area.

[0052] Optionally, embodiments of this disclosure can calculate the height, volume, and distribution of the pretreatment and electrophoresis solutions after the cast aluminum part has completely detached from the pretreatment and electrophoresis tank solutions based on the solution-collecting simulation module. In other words, the solution-collecting distribution can include the distribution of the solution-collecting area, the volume of the solution-collecting area, and the height of the solution-collecting area.

[0053] As an alternative approach, embodiments of this disclosure can analyze the gas-liquid trapping situation using a two-phase flow calculation method based on Bernoulli's principle. Specifically, the characteristics of the fluids corresponding to pretreatment and electrophoresis are obtained. Based on this, the two-phase flow calculation method based on Bernoulli's principle is combined with the fluid characteristics, a mesh model, and a path model to obtain the analysis results of the cast aluminum part.

[0054] In this process, the embodiments of this disclosure can divide the fluid calculation region using a cast aluminum part, and take into account the effects of fluid pressure, gravity, compressibility, and transient behavior (fluid characteristics), as well as the buoyancy effect of the fluid on the cast aluminum part, to determine the distribution of air and liquid in the cast aluminum part, thus ensuring the accuracy of the analysis results. Here, the fluid can be the liquid to be coated, which can be water, oil, or organic liquid, etc.

[0055] As an example, after inputting the travel path model and the cast aluminum part mesh model into the computer simulation software, this embodiment of the disclosure can select the liquid-filled simulation module. The software backend can identify the dimensions of holes and gaps on the cast aluminum part and perform calculations using Bernoulli's principle, as follows: ; Where h is the liquid level height in meters (m), P is the pressure in Pa, ρ is the liquid density in kg / m³, g is the gravitational acceleration in m / s², and v is the liquid velocity in m / s.

[0056] In addition, the liquid discharge time and flow rate can be calculated using the following formula in the embodiments of this disclosure: ; Where t is time in seconds, A1 is the cross-sectional area of ​​the container in square meters (m²), and A2 is the cross-sectional area of ​​the drain hole in square meters. In this embodiment, integration can be performed according to different container shapes.

[0057] Based on this, the liquid residue amount can be calculated using the following formula in the embodiments of this disclosure: ; Q is the flow rate, measured in m³ / s; A is the cross-sectional area, measured in square meters; and v is the fluid velocity, measured in m / s. Based on this, embodiments of this disclosure can calculate the amount of liquid residue at each time point in the travel path model.

[0058] The process of obtaining the gas distribution is similar to that of obtaining the liquid distribution; please refer to the above description for details, which will not be repeated here.

[0059] It should be noted that the embodiments disclosed herein can also combine the Level-Set method and Bernoulli's principle to calculate the two-phase flow method to comprehensively determine the distribution of gas and liquid in the pretreatment and electrophoresis process sections of the cast aluminum parts.

[0060] As an alternative approach, after obtaining the analysis results of gas and liquid trapping, embodiments of this disclosure can optimize the cast aluminum part based on these results. Specifically, the impact of the gas trapping location distribution, bubble residence area, and residence time calculated by simulation on the electrophoretic quality of the cast aluminum part and its corrosion resistance can be analyzed and evaluated; this impact can be referred to as the gas trapping evaluation result.

[0061] For example, in this embodiment of the disclosure, it can be determined whether the air-collecting area is greater than a specified area. When it is determined that the air-collecting area is greater than the specified area, the optimization scheme corresponding to the air-collecting area is obtained. That is, different air-collecting areas correspond to different optimization schemes, and the larger the air-collecting area, the greater the corresponding optimization strength. The air-collecting area can be determined based on at least one of the air-collecting position distribution, the bubble residence time, and the residence area.

[0062] Optionally, embodiments of this disclosure can analyze and evaluate the impact of bath cross-contamination based on the height, volume, and distribution of the pretreatment and electrophoretic coating solution calculated through simulation, as well as the degree of damage to the electrophoretic paint and its impact on corrosion resistance during drying. In other words, embodiments of this disclosure can analyze and evaluate the impact of bath cross-contamination based on the volume of the coating solution, and can analyze and evaluate the degree of damage to the electrophoretic paint and its impact on corrosion resistance during drying based on the volume and height of the coating solution; this impact can be referred to as the coating solution evaluation result.

[0063] For example, embodiments of this disclosure can determine whether the liquid collection volume is greater than a specified volume. When it is determined that the liquid collection volume is greater than the specified volume, an optimization scheme corresponding to that liquid collection volume is obtained. That is, different liquid collection volumes correspond to different optimization schemes; for example, the larger the liquid collection volume, the greater the corresponding optimization intensity. The liquid collection volume can be determined based on at least one of the liquid collection height, volume, and liquid collection position distribution. For example, if it is determined that a liquid collection volume exceeding 50ml affects the stability of the entire process, the structure of the cast aluminum part can be changed to reduce liquid accumulation, i.e., the three-dimensional model can be optimized.

[0064] Conversely, when it is determined that the gas-collecting area is less than the specified area and the liquid-collecting volume is less than the specified volume, it indicates that the cast aluminum part meets the manufacturing conditions. In this case, the embodiments of this disclosure do not require optimization of the cast aluminum part.

[0065] After obtaining the effects of gas trapping and liquid trapping, embodiments of this disclosure can propose corresponding optimization schemes based on the gas trapping and liquid trapping assessment results. For example, optimization schemes may include adding venting and drainage holes to the cast aluminum part, reducing or decreasing the reinforcing rib structure, or adjusting the profile, etc.

[0066] Based on this, the embodiments of this disclosure can modify the three-dimensional data of the cast aluminum part according to the determined optimization scheme, and perform simulation verification on the improved three-dimensional model based on the above method to confirm the improvement effect of the optimization scheme.

[0067] It should be noted that, in the process of optimizing the cast aluminum parts, the embodiments of this disclosure can optimize the three-dimensional model of the cast aluminum parts, optimize the travel path model of the cast aluminum parts, or optimize both the three-dimensional model and the travel path.

[0068] In summary, the embodiments of this disclosure optimize components by utilizing simulation-based data on gas and liquid trapping. This avoids the potential for increased gas and liquid trapping issues caused by the complex structure of cast aluminum parts, thereby improving the corrosion resistance of cast aluminum parts to a certain extent. Furthermore, optimizing cast aluminum parts using gas and liquid trapping analysis results avoids potential misjudgments and omissions that may occur during manual analysis.

[0069] This embodiment first constructs a path model and a 3D model of the cast aluminum part in the pretreatment and electrophoresis processes. The 3D model is then converted into a specified file. Next, a mesh generation operation is performed based on the converted specified file. On this basis, computer simulation is used to calculate the distribution of gas and liquid pockets in the pretreatment and electrophoresis processes using a two-phase flow calculation method based on Bernoulli's principle. The regions of gas and liquid pockets are analyzed, and targeted optimization schemes are proposed. Computer simulation is used to verify the optimization schemes and confirm the verification effect. This can shorten the R&D cycle of cast aluminum parts, reduce R&D costs, and thus improve the production efficiency of cast aluminum parts.

[0070] Figure 2 This is a block diagram illustrating a device for optimizing cast aluminum parts of a vehicle according to an exemplary embodiment. (Refer to...) Figure 2 The aluminum casting optimization device 200 for the vehicle includes an acquisition module 210, a conversion module 220, and an optimization module 230.

[0071] The acquisition module 210 is configured to acquire a three-dimensional model of the cast aluminum part and construct a travel path model of the cast aluminum part, wherein the travel path model is the motion path information for painting the cast aluminum part; The conversion module 220 is configured to convert the three-dimensional model of the cast aluminum part into a specified file, perform a meshing operation based on the specified file to obtain a mesh model of the cast aluminum part, wherein the specified file is used to describe the surface geometry of the three-dimensional model; The optimization module 230 is configured to optimize the aluminum casting based on the analysis results of the gas and liquid trapping conditions of the aluminum casting using the mesh model and the travel path model.

[0072] In some embodiments, the acquisition module 210 may be configured to acquire the design drawings of the cast aluminum part in the pretreatment and electrophoresis process section; extract the travel route information of the body-in-white based on the design drawings, extract the zero-point position relationship of the cast aluminum part relative to the body-in-white, the body-in-white including the cast aluminum part; and construct the travel route model according to the travel route information and the zero-point position relationship.

[0073] In some implementations, the route information includes at least one of the following: The design coordinates of the body-in-white; The entry and exit angles and relative positions of the body-in-white in the pretreatment and electrophoresis process sections; Information on the hump angle and relative position of the body-in-white during the pretreatment and electrophoresis processes; The distances of the white body in the X and Z directions; The rotation angle and travel speed of the white body in the Y direction.

[0074] In some embodiments, the conversion module 220 is configured to input the specified file into simulation software, identify the properties of the cast aluminum part, the properties of the cast aluminum part including at least one of material properties, surface roughness and dimensions; and perform a mesh generation operation based on the properties and the specified file to obtain a mesh model of the cast aluminum part.

[0075] In some embodiments, the vehicle's cast aluminum component optimization device 200 may further include: The analysis module is configured to identify the dimensions of holes and gaps on the mesh model, and calculate the exhaust path and state at each time point on the travel route model to obtain the gas distribution; identify the dimensions of holes and gaps on the mesh model, and calculate the liquid residue at each time point on the travel route model to obtain the liquid distribution; and determine the analysis results based on the gas distribution and the liquid distribution.

[0076] In some embodiments, the gas distribution includes the gas-collecting area distribution, gas-collecting time, and gas-collecting area, and the liquid distribution includes the liquid-collecting area distribution, liquid volume, and liquid height.

[0077] In some embodiments, the coating process includes pretreatment and electrophoresis, and the analysis module is further configured to acquire the characteristics of the fluid corresponding to the pretreatment and electrophoresis; the analysis results are obtained by combining the characteristics of the fluid, the mesh model, and the travel path model using a method for calculating two-phase flow based on Bernoulli's principle.

[0078] This embodiment of the invention optimizes cast aluminum parts by analyzing the gas and liquid trapping conditions, thereby reducing the design cost of cast aluminum parts. Specifically, a three-dimensional model of the cast aluminum part is obtained, and a travel path model of the cast aluminum part is constructed. The travel path model contains the motion path information for coating the cast aluminum part. Based on this, the three-dimensional model of the cast aluminum part is converted into a specified file, and a mesh generation operation is performed based on the specified file to obtain a mesh model of the cast aluminum part. Finally, the cast aluminum part is optimized based on the analysis results of the gas and liquid trapping conditions of the cast aluminum part using the mesh model and the travel path model. Since the optimization is carried out on the basis of the gas and liquid trapping analysis, it can improve the corrosion resistance quality of the cast aluminum part to a certain extent.

[0079] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0080] This disclosure also provides a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the steps of the method for optimizing cast aluminum parts of a vehicle provided in this disclosure.

[0081] Figure 3 This is a block diagram illustrating an electronic device 300 optimized for cast aluminum components in a vehicle, according to an exemplary embodiment. For example, the electronic device 300 may be a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.

[0082] Reference Figure 3 The electronic device 300 may include one or more of the following components: processing component 302, memory 304, power supply component 306, multimedia component 308, audio component 310, input / output interface 312, sensor component 314, and communication component 316.

[0083] Processing component 302 typically controls the overall operation of electronic device 300, such as operations associated with display, telephone calls, data communication, camera operation, and recording. Processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the aforementioned method for optimizing the cast aluminum parts of a vehicle. Furthermore, processing component 302 may include one or more modules to facilitate interaction between processing component 302 and other components. For example, processing component 302 may include a multimedia module to facilitate interaction between multimedia component 308 and processing component 302.

[0084] Memory 304 is configured to store various types of data to support the operation of electronic device 300. Examples of such data include instructions for any application or method operating on electronic device 300, contact data, phonebook data, messages, pictures, videos, etc. Memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0085] Power supply component 306 provides power to various components of electronic device 300. Power supply component 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 300.

[0086] Multimedia component 308 includes a screen that provides an output interface between the electronic device 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 308 includes a front-facing camera and / or a rear-facing camera. When the electronic device 300 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0087] Audio component 310 is configured to output and / or input audio signals. For example, audio component 310 includes a microphone (MIC) configured to receive external audio signals when electronic device 300 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 304 or transmitted via communication component 316. In some embodiments, audio component 310 also includes a speaker for outputting audio signals.

[0088] Input / output interface 312 provides an interface between processing component 302 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, start buttons, and lock buttons.

[0089] Sensor assembly 314 includes one or more sensors for providing state assessments of various aspects of electronic device 300. For example, sensor assembly 314 can detect the on / off state of electronic device 300, the relative positioning of components such as the display and keypad of electronic device 300, changes in position of electronic device 300 or a component of electronic device 300, the presence or absence of user contact with electronic device 300, orientation or acceleration / deceleration of electronic device 300, and temperature changes of electronic device 300. Sensor assembly 314 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 314 may also include an accelerometer, gyroscope, magnetometer, pressure sensor, or temperature sensor.

[0090] Communication component 316 is configured to facilitate wired or wireless communication between electronic device 300 and other devices. Electronic device 300 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 316 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 316 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0091] In an exemplary embodiment, the electronic device 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described method for optimizing the cast aluminum parts of the vehicle.

[0092] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 304 including instructions, which can be executed by a processor 320 of an electronic device 300 to complete the aforementioned method for optimizing the cast aluminum parts of a vehicle. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0093] In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable device, the computer program having a code portion for performing the above-described method for optimizing the cast aluminum parts of a vehicle when executed by the programmable device.

[0094] Some embodiments of this disclosure also provide a chip system, such as Figure 4 As shown, the chip system includes at least one processor 401 and at least one interface circuit 402. The processor 401 and the interface circuit 402 are interconnected via wiring. For example, the interface circuit 402 can be used to receive signals from other devices (e.g., the memory of an electronic device). As another example, the interface circuit 402 can be used to send signals to other devices (e.g., the processor 401). Exemplarily, the interface circuit 402 can read instructions stored in memory and send those instructions to the processor 401. When the instructions are executed by the processor 401, the vehicle's aluminum casting optimization device can perform the steps in the above embodiments. Of course, the chip system may also include other discrete devices, and some embodiments of this disclosure do not specifically limit this.

[0095] In some embodiments of this disclosure, the interface circuit 402 can acquire data, program instructions, and / or information from the internal storage area of ​​the chip system; it can also acquire data, program instructions, and / or information from outside the chip system.

[0096] Optionally, the chip system also includes a memory 403 for storing necessary computer programs and data.

[0097] Those skilled in the art will also understand that the various illustrative logical blocks and steps listed in the embodiments of this application can be implemented by electronic hardware, computer software, or a combination of both. Whether such functionality is implemented through hardware or software depends on the specific application and the overall system design requirements. Those skilled in the art can implement the described functionality using various methods for each specific application, but such implementation should not be construed as exceeding the scope of protection of the embodiments of this application.

[0098] It should be understood that, unless otherwise specifically indicated, features of various embodiments of this disclosure described herein can be combined with each other. As used herein, the term “and / or” includes any one of the relevant listed items and any combination of any two or more; similarly, “at least one of…” includes any one of the relevant listed items and any combination of any two or more.

[0099] Although terms such as “first,” “second,” and “third” may be used herein to describe various components, parts, regions, layers, or sections, these components, parts, regions, layers, or sections are not limited to these terms. Rather, these terms are used only to distinguish one component, part, region, layer, or section from another. Therefore, without departing from the teachings of the examples described herein, the first component, part, region, layer, or section mentioned in the examples may also be referred to as the second component, part, region, layer, or section. Furthermore, the terms “first” and “second” are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as “first” or “second” may explicitly or implicitly include at least one of that feature. In the description herein, “a plurality” means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0100] Furthermore, the term “exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as advantageous compared to other aspects or designs. Rather, the use of the term “exemplary” is intended to present the concept in a concrete manner. As used herein, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or.” That is, unless otherwise specified or clear from the context, “X applies A or B” is intended to mean any of the natural inclusive arrangements. That is, “X applies A or B” satisfies any of the foregoing instances if X applies A; X applies B; or both X applies A and B. Additionally, unless otherwise specified or clear from the context to refer to the singular form, the articles “a” and “an” as used in this application and the appended claims are generally understood to mean “one or more.”

[0101] Similarly, although this disclosure has been shown and described with respect to one or more implementations, equivalent variations and modifications will occur to those skilled in the art upon reading and understanding this specification and the accompanying drawings. This disclosure includes all such modifications and variations and is limited only by the scope of the claims. In particular, with respect to the various functions performed by the components described above (e.g., elements, resources, etc.), unless otherwise indicated, the terminology used to describe such components is intended to correspond to any component (functionally equivalent) that performs the specific function of the described component, even if structurally not equivalent to the disclosed structure. Furthermore, although specific features of this disclosure may have been disclosed with respect to only one of several implementations, such features may be combined with one or more other features of other implementations, as may be desired and advantageous to any given or particular application. Moreover, with regard to the terms “comprising,” “owning,” “having,” “having,” or variations thereof as used in the detailed description or claims, such terms are intended to be inclusive in a manner similar to the term “including.”

[0102] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the appended claims.

[0103] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for optimizing cast aluminum parts for vehicles, characterized in that, include: A three-dimensional model of the cast aluminum part is obtained, and a travel path model of the cast aluminum part is constructed. The travel path model is the motion path information for painting the cast aluminum part. The three-dimensional model of the cast aluminum part is converted into a specified file, and a mesh generation operation is performed based on the specified file to obtain the mesh model of the cast aluminum part. The specified file is used to describe the surface geometry of the three-dimensional model. Based on the analysis results of the gas and liquid trapping conditions of the cast aluminum part using the mesh model and the travel path model, the cast aluminum part is optimized.

2. The method for optimizing cast aluminum parts of a vehicle according to claim 1, characterized in that, The construction of the travel path model for the cast aluminum part includes: Obtain the design drawings of the cast aluminum parts in the pretreatment and electrophoresis process sections; Based on the design drawings, the travel route information of the body-in-white is extracted, and the zero-point position relationship of the cast aluminum part relative to the body-in-white is extracted. The body-in-white includes the cast aluminum part. The travel route model is constructed based on the travel route information and the zero point position relationship.

3. The method for optimizing cast aluminum parts of a vehicle according to claim 2, characterized in that, The travel route information includes at least one of the following: The design coordinates of the body-in-white; The entry and exit angles and relative positions of the body-in-white in the pretreatment and electrophoresis process sections; Information on the hump angle and relative position of the body-in-white during the pretreatment and electrophoresis processes; The distances of the white body in the X and Z directions; The rotation angle and travel speed of the white body in the Y direction.

4. The method for optimizing cast aluminum parts of a vehicle according to claim 1, characterized in that, The step of performing a mesh generation operation based on the specified file to obtain the mesh model of the cast aluminum part includes: The specified file is input into the simulation software to identify the properties of the cast aluminum part, which include at least one of material properties, surface roughness, and dimensions. Based on the attributes and the specified file, a mesh generation operation is performed to obtain the mesh model of the cast aluminum part.

5. The method for optimizing cast aluminum parts of a vehicle according to claim 1, characterized in that, The method further includes: The dimensions of holes and gaps on the mesh model are identified, and the exhaust path and state at each time point on the travel route model are calculated to obtain the air distribution. The dimensions of holes and gaps on the mesh model are identified, and the amount of liquid residue at each time point on the travel route model is calculated to obtain the liquid distribution. The analysis results are determined based on the gas distribution and the liquid distribution.

6. The method for optimizing cast aluminum parts of a vehicle according to claim 5, characterized in that, The gas distribution includes the gas-collecting area distribution, gas-collecting time, and gas-collecting area; the liquid distribution includes the liquid-collecting area distribution, liquid volume, and liquid height.

7. The method for optimizing cast aluminum parts of a vehicle according to claim 1, characterized in that, The coating process includes pretreatment and electrophoresis, and the method further includes: Obtain the properties of the fluids corresponding to the pretreatment and electrophoresis; The method for calculating two-phase flow based on Bernoulli's principle combines the characteristics of the fluid, the mesh model, and the path model to obtain the analysis results.

8. An optimization device for cast aluminum parts of a vehicle, characterized in that, include: The acquisition module is configured to acquire a three-dimensional model of the cast aluminum part and construct a travel path model of the cast aluminum part, wherein the travel path model is the motion path information for painting the cast aluminum part; The conversion module is configured to convert the three-dimensional model of the cast aluminum part into a specified file, perform a mesh generation operation based on the specified file to obtain a mesh model of the cast aluminum part, wherein the specified file is used to describe the surface geometry of the three-dimensional model; The optimization module is configured to optimize the aluminum casting based on the analysis results of the gas and liquid trapping conditions of the aluminum casting using the mesh model and the travel path model.

9. An electronic device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured as follows: A three-dimensional model of the cast aluminum part is obtained, and a travel path model of the cast aluminum part is constructed. The travel path model is the motion path information for painting the cast aluminum part. The three-dimensional model of the cast aluminum part is converted into a specified file, and a mesh generation operation is performed on the specified file to obtain the mesh model of the cast aluminum part. The specified file is used to describe the surface geometry of the three-dimensional model. Based on the analysis results of the gas and liquid trapping conditions of the cast aluminum part using the mesh model and the travel path model, the cast aluminum part is optimized.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method described in any one of claims 1 to 7.

11. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1 to 7.

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