Efficient machining system for intelligent new energy automobile aluminum alloy automobile body structural member

Abstract

The invention relates to the technical field of structural part machining, and discloses an efficient machining system for an intelligent new energy automobile aluminum alloy automobile body structural part, and the efficient machining system comprises the steps that an intelligent tool path generation algorithm is called, and an optimal cutting path is calculated and planned; an angle adjustment chip self-throwing strategy is executed, the angle between the cutter and the cut material is automatically adjusted according to the type of the cutter and the characteristics of the cut material, and chips are thrown out of the machining area; a dynamic multi-axis directional cooling strategy is executed, and the spraying direction and pressure are adjusted in real time according to the cutting path; executing a machining error dynamic compensation mechanism, and adjusting a tool path in real time; a partition composite grinding strategy is executed, the optimal cutting path is fused, and light pressure is adopted for grinding; the surface purging and cleaning module is used for performing surface purging and cleaning treatment on the machined vehicle body structural parts and automatically detecting whether all the machined vehicle body structural parts reach the machining standard or not; and the machining efficiency, precision and surface quality are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of structural part processing, and in particular to a high-efficiency machining system for aluminum alloy body structural parts of intelligent new energy vehicles. Background Art

[0002] With the continuous development of new energy vehicle technology, aluminum alloy bodies have become a key material for new energy vehicle bodies due to their advantages such as lightweight, corrosion resistance, and high strength. However, the unique properties of aluminum alloys, such as the high temperatures and large thermal expansion generated during processing, make it difficult to control the machining precision of body structural parts. Furthermore, body structural parts often have complex geometries, such as curved surfaces and uneven areas, making traditional machining methods difficult to achieve efficient and precise processing. To improve production efficiency and processing quality, there is an urgent need for an intelligent and efficient aluminum alloy body structural part processing system.

[0003] At present, the processing of aluminum alloy body structural parts mainly relies on traditional machining technology. Although these methods can achieve basic processing requirements in some cases, there are still many shortcomings. For example, it is difficult to adjust the processing path in real time during traditional machining, and there is a lack of effective compensation for dynamic errors in the cutting process, which easily leads to processing errors. What is more serious is that traditional methods have poor adaptability to factors such as thermal deformation, tool wear and material expansion during the processing process, which often leads to unstable processing accuracy. In addition, the existing technology has a lot of room for improvement in surface treatment, cleaning and quality inspection, especially in the application of multi-axis processing and efficient cooling technology. Therefore, it is difficult for existing technologies to meet the needs of modern intelligent new energy vehicle manufacturing for high-precision and high-efficiency processing of aluminum alloy body structural parts.

[0004] This solution, through the introduction of an intelligent machining system, achieves precise control and optimization of the machining of body structural parts, effectively addressing existing issues such as insufficient machining accuracy, dynamic error compensation, and coolant injection control. Through intelligent path planning, dynamic cooling, error compensation, and efficient surface cleaning, the system improves the machining quality and production efficiency of body structural parts. Summary of the Invention

[0005] The present invention provides an efficient machining system for aluminum alloy body structural parts of intelligent new energy vehicles, which is used to promote the solution of the problems mentioned in the above background technology.

[0006] In the first aspect, the present application provides an intelligent and efficient machining system for aluminum alloy body structural parts of new energy vehicles, which adopts the following technical solutions: The intelligent and efficient machining system for aluminum alloy body structural parts of new energy vehicles comprises:

[0007] Process design module: used to obtain the structural characteristics of the body structure to be processed and automatically generate the processing plan based on the structural characteristics of the body structure;

[0008] Path generation module: used to call the intelligent tool path generation algorithm according to the process flow and structural characteristics, calculate and plan the optimal cutting path;

[0009] Intelligent positioning and clamping module: used to establish the reference plane as the machining surface orientation, fix the body structure parts in the positioning fixture, automatically identify the clamping status and complete the position precision calibration;

[0010] Intelligent chip discharge module: used to implement the angle adjustment chip ejection strategy, automatically adjust the angle between the tool and the cut material according to the type of tool and the characteristics of the cut material, and eject the chips from the processing area;

[0011] Multi-axis dynamic cooling module: used to set the direction, pressure and spray pattern of the coolant nozzle, implement dynamic multi-axis directional cooling strategy, and adjust the spray direction and pressure in real time according to the cutting path;

[0012] Machining error compensation module: used to implement the dynamic compensation mechanism for machining errors, obtain position offset and parameter error data during machining, and adjust tool trajectory in real time;

[0013] Composite grinding module: used to execute the partition composite grinding strategy according to the structural characteristics of the body structure, integrate the optimal cutting path and use light pressure for grinding;

[0014] Post-processing inspection module: used to perform surface cleaning on the processed body structural parts and automatically detect whether all processed body structural parts meet the processing standards;

[0015] Record and archive all data of the completed body structure parts during the entire processing process.

[0016] Intelligent and efficient machining systems enable precise machining of vehicle body structural parts. Technologies such as optimized cutting paths, dynamic error compensation, directional cooling, and surface cleaning not only improve machining efficiency and quality, but also effectively reduce material waste and energy consumption, resulting in significant technical and economic benefits.

[0017] Preferably, it is characterized in that the intelligent tool path generation algorithm is called according to the process flow and structural characteristics to calculate and plan the optimal cutting path, including:

[0018] Obtain the three-dimensional model of the vehicle body structure and analyze the structural characteristics of the vehicle body structure;

[0019] Calling the process knowledge base, which is preset with process mapping relationships for various types of structural features, and matching corresponding standard processing technologies according to different types of structural features;

[0020] The cutting path is divided into several discrete points, denoted as P = {P1, P2, ..., P n}, where P i represents the i-th discrete point P on the cutting path i =(x i ,y i , z i );

[0021] Calculate the distance between two adjacent points P on the path i to P i+1 Straight-line distance

[0022] Calculate the path length L(T),

[0023] Calculate the optimal cutting path minC(T), minC(T) = μ1·L(T)+μ2·T+μ3·E(T), where C(T) is the total cost function, T is the processing time, μ1, μ2, μ3 are weight coefficients, and E(T) is the processing error.

[0024] By automatically matching the processing technology of body structural parts, it can effectively improve processing efficiency and reduce manual intervention, realize the intelligent and standardized processing technology of body structural parts, and by accurately calculating the length of the cutting path and optimizing the path, it can greatly improve processing efficiency and accuracy, reduce material waste, and shorten processing time.

[0025] Preferably, it is characterized in that the execution angle adjustment chip ejection strategy automatically adjusts the angle between the tool and the cut material according to the type of tool and the characteristics of the cut material to eject the chips out of the processing area, including:

[0026] According to the relative position relationship between the geometric shape of the body structure and the reference plane, the reference plane is selected as the facing plane of the processing surface and set as the reference plane during processing;

[0027] Automatically identify the clamping status and monitor the clamping status of the body structure parts in the fixture in real time;

[0028] If a position error is detected, the fixture's fixed position or clamping force is automatically adjusted;

[0029] Obtaining cutting parameters during the cutting process, wherein the cutting parameters include material hardness H, cutting depth h, feed speed and tool geometry;

[0030] Adjusting the cutting angle between the tool and the vehicle body structure during the cutting process according to the cutting parameters, wherein the cutting angle includes the front angle, the main deflection angle and the back angle;

[0031] Set the initial rake angle of the tool to α and calculate the optimal rake angle α for chip ejection * =α+k1H+k2v1, where k1 and k2 represent empirical coefficients and v1 is the cutting speed;

[0032] Set the initial main deflection angle of the tool to β and calculate the optimal main deflection angle β for chip ejection * =β+k3H+k4v1;

[0033] Set the initial rake angle of the tool to γ ​​and calculate the optimal clearance angle γ for chip ejection * =α+k5H+k6v1;

[0034] During the machining process, the set values ​​of the rake angle, lead angle and clearance angle are updated in real time according to the workpiece material and machining status;

[0035] Comprehensively adjust the relationship between cutting angles so that the chips are thrown out of the processing area during the cutting process.

[0036] By precisely adjusting the cutting angle, the chip flow direction can be effectively controlled, chip accumulation affecting the processing quality can be avoided, the service life of the tool during processing can be improved, and the cutting process can be optimized.

[0037] Preferably, it is characterized in that the dynamic multi-axis directional cooling strategy is executed to adjust the injection direction and pressure in real time according to the cutting path, including:

[0038] According to the real-time data of the optimal cutting path, the angle of the coolant spray nozzle is adjusted using multi-axis motion to set the initial spray direction θ0;

[0039] Calculate the optimal coolant spray angle θ based on the change in cutting path direction and the geometric characteristics of the cutting area * =θ0+g1α+g2β+g3γ+g4v1+g5v0, where g1, g2, g3, g4, and g5 represent modeling coefficients;

[0040] Automatically adjust the coolant spray direction when the optimal cutting path changes;

[0041] Setting the initial injection pressure F according to the structural characteristics of the vehicle body structure;

[0042] Monitor temperature changes in real time and adjust injection pressure according to real-time changes in cutting speed, feed rate and cutting depth;

[0043] When the temperature in the cutting area is too high, the injection pressure is automatically increased;

[0044] When the cutting temperature is low, reduce the injection pressure appropriately.

[0045] By adjusting the coolant injection angle and pressure in real time, the temperature of the cutting area can be effectively controlled to avoid material deformation and tool wear caused by overheating, thereby improving processing quality and tool life.

[0046] Preferably, the execution of the dynamic compensation mechanism for machining errors, obtaining position offset and parameter error data during machining, and adjusting the tool trajectory in real time includes:

[0047] Acquiring parameter error data between the tool and the vehicle body structural component, wherein the parameter error data includes dimensional error, shape error, tool wear, and material expansion caused by temperature change of the vehicle body structural component;

[0048] The error function is E(t) = f(ΔP(t), v1(t), v2(t), T(t)), where ΔP(t) represents the relative displacement between the tool and the body structure, and t is any time during the cutting process;

[0049] Analyze the parameter error data and calculate the compensation amount ΔC(t), ΔC(t) = s1E x (t)+s2E y (t)+s3E z (t), where E x (t), E y (t), E z (t) represents the error in the x, y, and z directions, respectively, and s1, s2, and s3 represent the compensation coefficients;

[0050] Get the current tool motion trajectory P d (t), and adjust the tool trajectory P in real time according to the compensation amount ΔC(t). c (t), P c (t) = P d (t)+ΔC(t).

[0051] The dynamic compensation mechanism can effectively eliminate errors generated during the machining process, ensure machining accuracy, improve the reliability and stability of the machining process, and avoid quality problems caused by errors.

[0052] Preferably, the method of executing a zoned composite grinding strategy based on the structural characteristics of the vehicle body structural parts, integrating the optimal cutting path and using light pressure for grinding includes:

[0053] According to the structural characteristics of the body structure parts, the body structure parts are partitioned into multiple processing areas, wherein the processing areas include: a flat area, a curved area, and an uneven area;

[0054] Adopting the optimal cutting path fusion strategy, light pressure is set for grinding according to the surface condition and partition type of the body structure;

[0055] Start the grinding tool to work according to the preset optimal cutting path;

[0056] Monitor the grinding pressure in real time according to the characteristics of each area and maintain light pressure during the grinding process;

[0057] Continuously monitor the surface condition and processing progress of body structural parts, and adjust the grinding path and grinding parameters in a timely manner;

[0058] When it is detected that the surface roughness of a certain area is too high, increase the grinding speed or pressure;

[0059] When it is detected that the surface roughness of a certain area is too low, slow down the grinding speed or reduce the pressure;

[0060] After each processing area is polished, immediate feedback is provided.

[0061] By combining zoned grinding with the optimal path, the grinding intensity and speed of each area can be precisely controlled to ensure the surface smoothness of the vehicle body, reduce excessive wear or uneven grinding, and improve surface quality.

[0062] Preferably, it is characterized in that the surface purging and cleaning treatment of the processed vehicle body structural parts is performed to automatically detect whether all processed vehicle body structural parts meet the processing standards, including:

[0063] Obtain the processed body structure parts and collect all relevant data during their processing;

[0064] Develop surface cleaning plans and quality testing standards based on all relevant data collected;

[0065] Set surface cleaning air pressure and speed, purge pattern, surface quality and dimensional inspection standards;

[0066] Perform surface cleaning, surface quality inspection, dimensional accuracy inspection, and record processing data for each body structure part;

[0067] Feedback on cleaning and testing results. If the standards are not met, initiate the rework process and record the feedback data;

[0068] If the standards are met, all data and test results are archived.

[0069] The combination of cleaning and automatic inspection ensures that each processed body structure component meets quality standards, improves product consistency and reliability, and reduces rework and scrap rates.

[0070] The present invention has the following beneficial effects:

[0071] 1. This intelligent, efficient machining system for aluminum alloy body structural parts for new energy vehicles significantly improves the efficiency and precision of aluminum alloy body structural part processing by comprehensively introducing intelligent technologies and optimization algorithms. In cutting path optimization, the system utilizes discrete point division, path length calculation, and optimization of the total cost function to ensure the optimal selection of the cutting path, reducing processing time and costs. At the same time, through real-time adjustment of cutting angles and dynamic cooling strategies, chips can be quickly ejected from the processing area during the cutting process. Combined with adjustment of cooling pressure, the risk of overheating in the cutting area is effectively reduced, thereby improving processing efficiency and tool life. Furthermore, the dynamic multi-axis cooling system adjusts the nozzle angle and injection pressure in real time according to the cutting path, ensuring the accuracy and dynamic adaptability of the cooling effect, providing efficient and stable support for complex path processing. This efficient and intelligent processing solution significantly shortens the production cycle and ensures the continuity and reliability of the processing process.

[0072] 2. This intelligent, efficient machining system for aluminum alloy body components for new energy vehicles utilizes a dynamic error compensation mechanism to capture changes in size, shape, and tool status during machining in real time. It uses an error function to calculate compensation and adjusts tool trajectories in real time, effectively controlling machining errors. Furthermore, a zoned composite grinding strategy integrates optimal cutting paths and implements light-pressure grinding based on the surface characteristics and regional divisions of the body components. Dynamic adjustment of grinding parameters ensures uniform surface roughness and quality compliance across all regions. Furthermore, after machining is complete, surface purge cleaning and quality inspection mechanisms automatically determine whether the machined part meets requirements, enabling rapid identification of problems and initiation of rework processes, further ensuring product quality consistency and reliability.

[0073] 3. This intelligent, efficient machining system for aluminum alloy body components for new energy vehicles improves automation and controllability through a comprehensive, intelligent process flow. By leveraging a process knowledge base and matching standard machining processes to specific structural features, it ensures standardized and adaptable machining processes. Real-time monitoring and automatic adjustment of the clamping status enable high-precision positioning during the initial machining phase, eliminating defects caused by clamping errors. Furthermore, intelligent adjustment strategies for cutting parameters and tool angles, combined with temperature monitoring and dynamic optimization of injection pressure, significantly enhance controllability and flexibility during machining. Combined with final cleaning and data archiving, the entire process forms an intelligent, closed-loop machining system, providing strong support for the efficient and high-quality production of aluminum alloy body components for new energy vehicles. This fully intelligent machining solution not only improves production efficiency and product quality, but also reduces manual intervention and error rates, setting a benchmark for future intelligent industrial development. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0075] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0076] Example 1, refer to Figure 1 , an efficient machining system for aluminum alloy body structural parts of intelligent new energy vehicles, including:

[0077] Process design module: used to obtain the structural characteristics of the body structure to be processed and automatically generate the processing plan based on the structural characteristics of the body structure;

[0078] Path generation module: used to call the intelligent tool path generation algorithm according to the process flow and structural characteristics, calculate and plan the optimal cutting path;

[0079] Intelligent positioning module: used to establish the reference plane as the machining surface orientation, fix the body structure parts in the positioning fixture, automatically identify the clamping status and complete the position precision calibration;

[0080] Intelligent chip discharge module: used to implement the angle adjustment chip ejection strategy, automatically adjust the angle between the tool and the cut material according to the type of tool and the characteristics of the cut material, and eject the chips from the processing area;

[0081] Multi-axis dynamic cooling module: used to set the direction, pressure and spray pattern of the coolant nozzle, implement dynamic multi-axis directional cooling strategy, and adjust the spray direction and pressure in real time according to the cutting path;

[0082] Machining error compensation module: used to implement the dynamic compensation mechanism for machining errors, obtain position offset and parameter error data during machining, and adjust tool trajectory in real time;

[0083] Composite grinding module: used to execute the partition composite grinding strategy according to the structural characteristics of the body structure, integrate the optimal cutting path and use light pressure for grinding;

[0084] Post-processing inspection module: used to perform surface cleaning on the processed body structural parts and automatically detect whether all processed body structural parts meet the processing standards;

[0085] Record and archive all data of the completed body structure parts during the entire processing process.

[0086] By introducing intelligent technologies, the efficiency, precision, and quality of aluminum alloy body structural parts processing have been significantly improved. Cutting path optimization and dynamic cooling strategies improve processing efficiency and extend tool life; error compensation mechanisms and zoned grinding strategies ensure processing accuracy and surface quality; and surface purge and quality inspection ensure comprehensive assurance of finished products. Intelligent management throughout the entire process reduces manual intervention and error rates, establishing an efficient and controllable closed-loop processing system, providing strong support for the high-quality and efficient manufacturing of new energy vehicle parts.

[0087] This embodiment provides an intelligent aluminum alloy vehicle body structural component machining system, which automatically optimizes the cutting path by acquiring a three-dimensional model of the vehicle body structural component and analyzing the structural features.

[0088] First, a 3D model of the vehicle body structure is acquired using 3D scanning technology. Assume the dimensions of the structure are 1.8 meters (length) x 1.2 meters (width) x 0.5 meters (height). The structure consists of multiple flat areas, curved areas, and uneven areas. Based on the geometric characteristics of the structure, the system divides the structure into regions and determines the processing requirements for each area, with a particular focus on analyzing complex curved surfaces and uneven areas.

[0089] The system calls up a pre-set process knowledge base, which stores standard machining processes for various structural features. For example, if the geometric features of a body component are of medium complexity, the system will match the corresponding standard machining process based on this structural feature, such as using a medium cutting depth (h = 2mm), a moderate feed rate (V1 = 150mm / min), and a cutting speed (V0 = 200m / min).

[0090] The cutting path is divided into several discrete points, and the cutting path contains 100 discrete points. Set the starting point and end point of the cutting path to P1 and P 100 , the path length L is calculated to be 500 mm;

[0091] The path is calculated and optimized to minimize the total cost function. Through optimization, the final path will result in a total processing time of 60 minutes and an error of 0.03mm.

[0092] By combining 3D modeling with a process knowledge base, the cutting path for body structural parts was optimized. The calculated path was effectively combined with process parameters to improve machining accuracy and efficiency, avoid manual intervention, and minimize machining errors.

[0093] When machining vehicle body components, the system automatically adjusts the cutting angle between the tool and the part based on the tool type and the characteristics of the material being cut. Assuming a cylindrical carbide tool, the system sets the initial rake angle to 10°, the lead angle to 5°, and the clearance angle to 5°. Sensors monitor cutting parameters in real time, with a cutting depth of h = 1.5 mm and a feed rate of 100 mm / min. Based on this data, the tool angle is adjusted to eject chips from the machining area.

[0094] The system also automatically identifies the clamping status of the body structure in the fixture and monitors the fixture's position in real time. If a clamping error is detected, the fixture automatically adjusts the clamping force. The initial clamping force is set at 800N. If an error of 0.1mm is detected, the system automatically adjusts the clamping force to 850N to ensure the stability of the body structure.

[0095] During the cutting process, the system continuously adjusts the tool angle based on real-time data. Given that the aluminum alloy material used for body structural parts is sensitive to cutting angles, the system dynamically adjusts the rake angle, lead angle, and clearance angle to eject chips from the machining area at the optimal angle, minimizing interference with the machining area and improving machining accuracy.

[0096] Real-time adjustment of the tool angle reduces chip accumulation, optimizes the machining process, improves the surface quality and machining efficiency of aluminum alloy body structural parts, and reduces tool wear and material waste.

[0097] It combines a dynamic multi-axis directional cooling strategy with a dynamic compensation mechanism for machining errors to further improve the machining accuracy and quality of aluminum alloy body structural parts.

[0098] During the cutting process, the system adjusts the direction and pressure of the coolant injection based on the real-time data of the optimal cutting path. The starting and end points of the optimal cutting path are set to P1 = (10, 15, 20) and P100 = (90, 95, 110). Through multi-axis motion control, the angle of the coolant injection nozzle is adjusted so that the coolant injection angle is consistent with the cutting path direction to maximize the cooling effect. The initial injection pressure is set to F = 1.5F = 1.5MPa. When the cutting area temperature exceeds 150°C, the injection pressure is increased to 2.0MPa to ensure that the temperature does not exceed 180°C.

[0099] During machining, the system uses sensors to capture parameter error data between the tool and the body structure, including dimensional errors of 0.2mm, shape errors of 0.1mm, tool wear (wear depth of 0.05mm), and material expansion caused by temperature changes. Based on this data, the system calculates the compensation amount and adjusts the tool path in real time. Dynamically adjusting the tool path based on the error function, it compensates for dimensional errors along the path in real time to ensure machining accuracy.

[0100] By dynamically adjusting coolant injection and compensating for machining errors in real time, the system effectively controls temperature fluctuations in body structural parts, reduces machining deviations caused by errors, and improves machining accuracy and surface quality.

[0101] The system divides the body structure into multiple processing zones based on its structural characteristics, such as flat surfaces (300mm x 500mm), curved surfaces (100mm radius), and uneven surfaces (5mm depth). The system uses an optimal cutting path fusion strategy for polishing each zone. Flat surfaces use a higher feed rate of 200mm / min, while curved and uneven areas use a lower feed rate of 100mm / min to avoid over-polishing.

[0102] The system monitors the grinding pressure in real time to ensure that light pressure (5N / cm 2 When the surface roughness of a certain area is detected to be greater than 2.5μm, the system automatically increases the grinding speed or pressure for finishing; when the roughness is less than 1μm, the system reduces the grinding force to avoid over-grinding.

[0103] After the processing is completed, the system will automatically detect the surface cleanliness of the body structure parts and perform surface cleaning. Assuming the surface size of the body structure parts is 1.8m 2 The cleaning air pressure is set to 3.5 MPa and the wind speed is 15 m / s. If even minor stains or residual chips are detected on the surface, the system activates cleaning mode to ensure that each body component meets the predetermined cleanliness standards. After processing, the body components undergo dimensional accuracy testing to ensure dimensional errors are less than 0.05 mm.

[0104] The combination of a zoned composite grinding strategy and surface cleaning significantly improves the surface quality of body components. By precisely controlling the grinding force and cleaning process, the precision and quality of body components meet the high standards of new energy vehicle manufacturing.

[0105] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0106] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. Intelligent high-efficiency machining system for aluminum alloy body structural parts of new energy vehicles, characterized by: include: Process design module: used to obtain the structural characteristics of the body structure to be processed and automatically generate the processing plan based on the structural characteristics of the body structure; Path generation module: used to call the intelligent tool path generation algorithm according to the process flow and structural characteristics, calculate and plan the optimal cutting path; Intelligent positioning module: used to establish the reference plane as the machining surface orientation, fix the body structure parts in the positioning fixture, automatically identify the clamping status and complete the position precision calibration; Intelligent chip discharge module: used to implement the angle adjustment chip ejection strategy, automatically adjust the angle between the tool and the cut material according to the type of tool and the characteristics of the cut material, and eject the chips from the processing area; Multi-axis dynamic cooling module: used to set the direction, pressure and spray pattern of the coolant nozzle, implement dynamic multi-axis directional cooling strategy, and adjust the spray direction and pressure in real time according to the cutting path; Machining error compensation module: used to implement the dynamic compensation mechanism for machining errors, obtain position offset and parameter error data during machining, and adjust tool trajectory in real time; Composite grinding module: used to execute the partition composite grinding strategy according to the structural characteristics of the body structure, integrate the optimal cutting path and use light pressure for grinding; Post-processing inspection module: used to perform surface cleaning on the processed body structural parts and automatically detect whether all processed body structural parts meet the processing standards; Record and archive all data of the completed body structure parts during the entire processing process.

2. The high-efficiency machining system for aluminum alloy body structural parts of intelligent new energy vehicles according to claim 1 is characterized in that: According to the process flow and structural characteristics, the intelligent tool path generation algorithm is called to calculate and plan the optimal cutting path, including: Obtain the three-dimensional model of the vehicle body structure and analyze the structural characteristics of the vehicle body structure; Calling the process knowledge base, which is preset with process mapping relationships for various types of structural features, and matching corresponding standard processing technologies according to different types of structural features; The cutting path is divided into several discrete points, denoted as P = {P1, P2, ..., P n }, where P i represents the i-th discrete point P on the cutting path i =(x i ,y i , z i ); Calculate the distance between two adjacent points P on the path i to P i+1 Straight-line distance Calculate the path length L(T), Calculate the optimal cutting path minC(T), minC(T) = μ1·L(T)+μ2·T+μ3·E(T), where C(T) is the total cost function, T is the processing time, μ1, μ2, μ3 are weight coefficients, and E(T) is the processing error.

3. The high-efficiency machining system for aluminum alloy body structural parts of intelligent new energy vehicles according to claim 1 is characterized in that: The execution angle adjustment chip ejection strategy automatically adjusts the angle between the tool and the material being cut according to the type of tool and the characteristics of the material being cut, and ejects the chips from the processing area, including: According to the relative position relationship between the geometric shape of the body structure and the reference plane, the reference plane is selected as the facing plane of the processing surface and set as the reference plane during processing; Automatically identify the clamping status and monitor the clamping status of the body structure parts in the fixture in real time; If a position error is detected, the fixture's fixed position or clamping force is automatically adjusted; Obtaining cutting parameters during the cutting process, wherein the cutting parameters include material hardness H, cutting depth h, feed speed and tool geometry; Adjusting the cutting angle between the tool and the vehicle body structure during the cutting process according to the cutting parameters, wherein the cutting angle includes the rake angle, the main deflection angle and the clearance angle; Set the initial rake angle of the tool to α and calculate the optimal rake angle α for chip ejection * =α+k1H+k2v1, where k1 and k2 represent empirical coefficients and v1 is the cutting speed; Set the initial main deflection angle of the tool to β and calculate the optimal main deflection angle β for chip ejection * =β+k3H+k4v1; Set the initial rake angle of the tool to γ ​​and calculate the optimal clearance angle γ for chip ejection * =α+k5H+k6v1; During the machining process, the set values ​​of the rake angle, lead angle and clearance angle are updated in real time according to the workpiece material and machining status; Comprehensively adjust the relationship between cutting angles so that the chips are thrown out of the processing area during the cutting process.

4. The high-efficiency machining system for intelligent new energy vehicle aluminum alloy body structural parts according to claim 1 is characterized in that: The implementation of a dynamic multi-axis directional cooling strategy to adjust the injection direction and pressure in real time according to the cutting path includes: According to the real-time data of the optimal cutting path, the angle of the coolant spray nozzle is adjusted using multi-axis motion to set the initial spray direction θ0; Calculate the optimal coolant spray angle θ based on the change in cutting path direction and the geometric characteristics of the cutting area * =θ0+g1α+g2β+g3γ+g4v1+g5v0, where g1, g2, g3, g4, and g5 represent modeling coefficients; Automatically adjust the coolant spray direction when the optimal cutting path changes; Setting the initial injection pressure F according to the structural characteristics of the vehicle body structure; Monitor temperature changes in real time and adjust injection pressure according to real-time changes in cutting speed, feed rate and cutting depth; When the temperature in the cutting area is too high, the injection pressure is automatically increased; When the cutting temperature is low, reduce the injection pressure appropriately.

5. The high-efficiency machining system for intelligent new energy vehicle aluminum alloy body structural parts according to claim 1 is characterized in that: The execution of the dynamic compensation mechanism for machining errors, obtaining position offset and parameter error data during machining, and adjusting the tool trajectory in real time, includes: Acquiring parameter error data between the tool and the vehicle body structural component, wherein the parameter error data includes dimensional error, shape error, tool wear, and material expansion caused by temperature change of the vehicle body structural component; The error function is E(t) = f(ΔP(t), v1(t), v2(t), T(t)), where ΔP(t) represents the relative displacement between the tool and the body structure, and t is any time during the cutting process; Analyze the parameter error data and calculate the compensation amount ΔC(t), ΔC(t) = s1E x (t)+s2E y (t)+s3E z (t), where E x (t), E y (t), E z (t) represents the error in the x, y, and z directions, respectively, and s1, s2, and s3 represent the compensation coefficients; Get the current tool motion trajectory P d (t), and adjust the tool trajectory P in real time according to the compensation amount ΔC(t). c (t), P c (t) = P d (t)+ΔC(t).

6. The high-efficiency machining system for aluminum alloy body structural parts of intelligent new energy vehicles according to claim 1 is characterized in that: The aforementioned method involves executing a zoned composite grinding strategy based on the structural characteristics of the vehicle body components, integrating the optimal cutting path, and applying light pressure for grinding, including: According to the structural characteristics of the body structure parts, the body structure parts are partitioned into multiple processing areas, wherein the processing areas include: a flat area, a curved area, and an uneven area; Adopting the optimal cutting path fusion strategy, light pressure is set for grinding according to the surface condition and partition type of the body structure; Start the grinding tool to work according to the preset optimal cutting path; Monitor the grinding pressure in real time according to the characteristics of each area and maintain light pressure during the grinding process; Continuously monitor the surface condition and processing progress of body structural parts, and adjust the grinding path and grinding parameters in a timely manner; When it is detected that the surface roughness of a certain area is too high, increase the grinding speed or pressure; When it is detected that the surface roughness of a certain area is too low, slow down the grinding speed or reduce the pressure; After each processing area is polished, immediate feedback is provided.

7. The high-efficiency machining system for intelligent new energy vehicle aluminum alloy body structural parts according to claim 1 is characterized in that: The surface cleaning process of the processed body structure parts is performed by blowing and cleaning, and all the processed body structure parts are automatically detected to see whether they meet the processing standards, including: Obtain the processed body structure parts and collect all relevant data during the processing; Develop surface cleaning plans and quality testing standards based on all relevant data collected; Set surface cleaning air pressure and speed, purge pattern, surface quality and dimensional inspection standards; Perform surface cleaning, surface quality inspection, dimensional accuracy inspection, and record processing data for each body structure part; Feedback on cleaning and testing results. If the standards are not met, initiate the rework process and record the feedback data; If the standards are met, all data and test results are archived.

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