Machining process of automobile motor shell bearing steel bushing based on numerical control technology
Through CNC technology combined with ultrasonic assisted processing, laser quenching and intelligent measurement and control, the problems of unstable accuracy and low efficiency in the processing of steel sleeves of automobile motor housing bearings are solved, and efficient and reliable production processes and product quality assurance are achieved.
Patent Information
- Application Number
- CN202510482326.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-07-11
AI Technical Summary
The existing automotive motor housing bearing steel sleeve processing technology has problems such as unstable processing accuracy, low efficiency, high production costs, lack of online monitoring and feedback mechanisms, and the laser quenching technology has failed to effectively integrate with the CNC system.
CNC technology is adopted to achieve fine machining, surface hardening, assembly accuracy control and quality traceability through ultrasonic assisted processing, real-time detection and adjustment, laser quenching and CNC system integration, intelligent measurement and control and dynamic feedback, automatic assembly and fault diagnosis.
It significantly improves production efficiency and processing accuracy, improves product quality and market competitiveness, reduces human errors and production costs, and ensures product consistency and reliability.
Smart Images

Figure CN120287008A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of numerical control technology, and specifically to a processing technology for the bearing steel sleeve of an automotive motor housing based on numerical control technology. Background Art
[0002] The processing technology for the bearing steel sleeve of an automotive motor housing based on numerical control technology can significantly improve production efficiency and product quality. Through the precise control of the numerical control system, it realizes the precision machining of the motor housing and the bearing steel sleeve, and can ensure the dimensional accuracy, geometric tolerance and surface quality of the parts, thereby improving the performance and reliability of the motor. In addition, the application of automation and intelligent technologies reduces human errors, lowers labor intensity, and helps to achieve large-scale production. The establishment of a quality traceability system provides an effective guarantee for product quality.
[0003] Although certain progress has been made in the existing processing technologies for the bearing steel sleeve of automotive motor housings, there are still some obvious defects. For example, traditional processing technologies often rely on manual operations, resulting in unstable machining accuracy and low efficiency, and increasing production costs. In addition, the lack of an effective online monitoring and feedback mechanism easily leads to errors during the processing that cannot be adjusted in a timely manner, thus affecting product quality. The application of advanced technologies such as laser quenching has not been effectively integrated with the numerical control system, restricting its application in actual production. These factors pose challenges to the existing technologies in meeting the strict quality requirements of the automotive industry.
[0004] This solution provides a processing technology for the bearing steel sleeve of an automotive motor housing based on numerical control technology, which can effectively overcome the deficiencies of the existing technologies, provide all-round guarantee for product quality, and enhance the market competitiveness of the products. Summary of the Invention
[0005] The present invention provides a processing technology for the bearing steel sleeve of an automotive motor housing based on numerical control technology to help solve the problems mentioned in the above background art.
[0006] In a first aspect, the present application provides a processing technology for the bearing steel sleeve of an automotive motor housing based on numerical control technology, adopting the following technical solutions: The processing technology for the bearing steel sleeve of an automotive motor housing based on numerical control technology includes:
[0007] Select lightweight materials, perform preliminary rough machining on the motor housing, execute an ultrasonic-assisted machining strategy, and perform fine machining;
[0008] Real-time detect the dimensional and positional changes during the processing, and automatically adjust and compensate according to the detection results;
[0009] Cut the steel sleeve raw material to the specified length, perform rough turning on the outer circle and end face machining, establish a reference surface, replace the fine turning tool, and perform fine turning on the outer circle;
[0010] According to the datum plane, implement the rotational grinding wheel refinement and polishing strategy to polish the surface nodules of the steel sleeve.
[0011] Implement the surface partition laser quenching strategy, integrate laser quenching with the numerical control system during the processing, and use laser quenching to perform partition hardening treatment on the surface of the steel sleeve.
[0012] Real-time monitor the inner hole size, roundness, and hardening effect of the steel sleeve, implement the intelligent measurement and control and dynamic feedback correction strategy, and measure the data.
[0013] According to the measured data, feedback the data to the numerical control system for automatic correction of the machining trajectory.
[0014] Align and calibrate the steel sleeve with the motor housing, implement the automatic precision assembly technology strategy for high-strength steel sleeves, perform interference interference fit control, and use thermal expansion and contraction to control the fit accuracy.
[0015] Automatically measure the assembly pressure, feed speed, and deflection degree during the assembly process, implement the fault self-diagnosis strategy, and automatically stop the assembly process.
[0016] Automatically diagnose and automatically adjust the fault through the numerical control system.
[0017] Collect the data of the whole process of machining and assembly, and generate quality traceability records.
[0018] By implementing the processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology, the production efficiency and machining accuracy of automotive motor components can be significantly improved. This process uses lightweight materials, first rough-machines the motor housing, and then performs fine machining through ultrasonic-assisted technology, which not only improves the surface finish and geometric accuracy of the machining, but also reduces tool wear. Real-time detect the size and position changes during the machining process, and perform automatic adjustment and compensation according to the detection results to ensure the quality consistency of each workpiece. In addition, the automatic machining trajectory correction and dynamic feedback mechanism reduce manual intervention and the occurrence of human errors, making the overall production process more intelligent, efficient, and reliable.
[0019] Preferably, it is characterized in that for the motor housing after rough machining, an ultrasonic-assisted machining strategy is implemented for fine machining, including:
[0020] Select lightweight materials as the blank of the motor housing, and rough-machine the blank.
[0021] Real-time collect the actual size D and actual position X of the motor housing structure, set the target position as X1, and the target size as D1.
[0022] Calculate the dimensional error ΔD = D - D1, and the position error ΔX = X - X1.
[0023] Automatically adjust the machining path and machining speed according to the dimensional error ΔD and the positional error ΔX, and perform real-time error correction;
[0024] After correcting the error, introduce the ultrasonic-assisted machining technology to make the tool perform high-frequency micro-amplitude vibration during the cutting process to complete the machining process of the motor housing.
[0025] By implementing the ultrasonic-assisted machining strategy, especially in the fine machining stage after rough machining, the machining efficiency and surface quality are greatly enhanced. By real-time collecting the actual dimensions and positions of the motor housing, setting the target dimensions and calculating the errors, automatically adjusting the machining path and speed, and real-time correcting the errors, the machining process becomes more precise. Introducing the ultrasonic vibration tool not only reduces the cutting force, improves the tool life, but also makes the machining surface smoother, reducing the complexity and cost of subsequent machining. This efficient machining method can effectively improve the output of the production line and ensure the advantage of the motor housing in the fierce market competition.
[0026] Preferably, characterized in that, according to the reference plane, perform the rotary grinding wheel refinement and grinding strategy to grind the nodules on the surface of the steel sleeve, including:
[0027] Set the cutting length of the steel sleeve as A, determine the cutting position, and cut the steel sleeve raw material;
[0028] Fix the cut steel sleeve material and select the end face of the steel sleeve as the machining reference plane;
[0029] Set the cutting depth H, and cut the end face of the steel sleeve to remove the allowance of the end face cutting depth H;
[0030] Replace the finishing turning tool, set the cutting depth H1, where H1 < H, and remove the allowance of the end face cutting depth H1 of the steel sleeve;
[0031] Set the inner hole cutting depth H2, and remove the material of the inner hole cutting depth H2 of the steel sleeve;
[0032] Perform a comprehensive measurement of the surface of the steel sleeve through a three-dimensional measuring instrument, capture the irregularities on the surface of the steel sleeve, and obtain the specific position (x i , y i ) of the nodule i, denoted as P = {(x1, y1), (x2, y2), …, (x n , y n )}, height h i , shape size and distribution;
[0033] According to the shape and size of the nodules on the surface of the steel sleeve, set the grinding wheel parameters, and the grinding wheel parameters include the rotation angle θ, rotation speed V, grinding depth L, grinding force and grinding wheel particle size of the grinding wheel;
[0034] Calculate the rotation angle θ of the grinding disc.
[0035] Control the grinding depth L of the grinding disc, where L = h i ·(x i , y i ) - ∈, where ∈ represents the precision tolerance, and remove the nodules on the surface of the steel sleeve.
[0036] Set the rotational angular velocity of the grinding disc as ω, and calculate the rotational speed V of the grinding disc, where V = r·ω, and r is the radius of the grinding disc.
[0037] Adjust the rotational angular velocity of the grinding disc to control the grinding speed and path of the grinding disc on the surface of the steel sleeve.
[0038] Perform targeted grinding according to the distribution of nodules on the surface of the steel sleeve.
[0039] By setting reasonable parameters and implementing the refined grinding strategy of the rotating grinding disc, the nodules on the surface of the steel sleeve can be effectively removed, enabling the final product to meet higher quality standards. By comprehensively measuring the surface irregularities of the steel sleeve, accurately capturing the specific positions and shapes of the nodules, and then setting the rotational parameters and grinding depth of the grinding disc, it is ensured that while removing the nodules, the overall structure of the steel sleeve is not affected. This process not only improves the surface finish and precision of the steel sleeve, but also reduces material waste and optimizes the use of production resources by precisely controlling the grinding process, thereby improving production efficiency and product quality and meeting high - requirement industry standards.
[0040] Preferably, it is characterized in that the surface - zoning laser quenching strategy is implemented, and laser quenching is integrated with the numerical control system during the processing. Laser quenching is used to perform zonal hardening treatment on the surface of the steel sleeve, including:
[0041] After the surface of the steel sleeve is ground, according to the hardening requirements of the steel sleeve, the surface of the steel sleeve is divided into m regions.
[0042] Set the required heating temperature as C, and set the laser beam heating power according to the temperature C.
[0043] Adopt an intermittent heating mode to perform intermittent heating on each surface of the steel sleeve. After the temperature of the heating region rises, heat is conducted to the unheated region.
[0044] The transfer of the remaining heat causes the temperature of the intermediate unheated region to rise to C, completing the heating treatment of the intermediate region.
[0045] After the heating is completed, the laser beam stops acting, and the surface of the steel sleeve is rapidly cooled by spray cooling to harden the surface.
[0046] By integrating laser quenching technology during the surface treatment process of the steel sleeve, through surface zoning hardening treatment, the wear resistance and service life of the steel sleeve can be significantly improved. This process divides the surface of the steel sleeve into multiple regions and adopts an intermittent heating mode to ensure uniform and efficient heating. The rapid cooling of the laser beam after heating causes a hardened layer to form on the surface of the steel sleeve. This method not only improves the load-bearing capacity of the steel sleeve, reduces subsequent maintenance costs, but also enhances the reliability of the product and its performance in harsh working environments. In addition, the integration with the numerical control system during the laser quenching process ensures a high degree of automation and intelligence in the processing, further improving production efficiency.
[0047] Preferably, it is characterized in that the inner hole size, roundness and roughness of the steel sleeve are monitored in real time, and an intelligent measurement and control and dynamic feedback correction strategy is implemented. The measurement data includes:
[0048] Obtain real-time data during the processing, and the real-time data includes the actual inner hole size, actual roundness and actual surface hardening effect of the steel sleeve;
[0049] Set target data, and the target data includes the target inner hole size, target roundness and target surface hardening effect of the steel sleeve;
[0050] Set the normal error range as α, compare the real-time data and the target data respectively to obtain the error value α1. If α1 > α, trigger the dynamic feedback correction strategy;
[0051] Feed the error value α1 back to the numerical control system, and adjust different processing parameters according to the error type;
[0052] According to the adjusted processing parameters, automatically generate a new processing trajectory, and automatically perform new processing according to the new processing trajectory until the error value α1 between the real-time data and the target data is within the normal error range α.
[0053] By monitoring the size, roundness and roughness of the inner hole of the steel sleeve in real time, combined with the intelligent measurement and control and dynamic feedback correction strategy, the accuracy and controllability of the entire processing process are greatly improved. By obtaining the real-time data during the processing and comparing it with the target data, not only can the deviation during processing be found in real time, but also the error can be corrected by automatically adjusting the processing parameters. This method effectively avoids potential quality problems and ensures the compliance of the final product. In addition, the introduction of the dynamic feedback mechanism reduces the need for manual intervention, improves the automation level of the production line, and thus improves production efficiency and product consistency.
[0054] Preferably, it is characterized in that the steel sleeve and the motor housing are aligned and calibrated, and an automatic precision assembly technology strategy for high-strength steel sleeves is implemented to perform interference interference fit control, including:
[0055] Fix the motor housing in a special assembly tooling and check whether the axis of the inner hole of the motor housing is aligned with that of the steel sleeve;
[0056] Automatically adjust the position of the steel sleeve to make its position coincide with the center of the mating hole of the motor housing, meeting the requirement of high coaxiality;
[0057] Adopt the thermal expansion and contraction technology for interference interference fit, heat the motor housing to temperature C1 to increase the inner hole to size R;
[0058] Or cool the steel sleeve at low temperature to shrink its outer diameter;
[0059] Use an automatic pressing equipment, set the standard assembly pressure F and the standard control curve S, and press the steel sleeve into the inner hole of the motor housing;
[0060] Real-time monitor the standard assembly pressure F1 and the actual control curve S1, compare the standard assembly pressure F with the standard assembly pressure F1 and the standard control curve S with the actual control curve S1 respectively, and judge whether there is any abnormality in the assembly process;
[0061] Calculate the assembly pressure error ΔF = F1 - F and the control curve error ΔS = S1 - S, and make the steel sleeve enter the specified position at a uniform speed according to the control curve to complete the assembly.
[0062] Align and calibrate the steel sleeve with the motor housing. Adopting the automatic precision assembly technology of high-strength steel sleeve can ensure high coaxiality and fitting accuracy during the assembly process. Through the interference interference fit using the thermal expansion and contraction technology, not only the reliability of the assembly is improved, but also the human error during the assembly process can be effectively reduced. Real-time monitoring of the assembly pressure and the actual control curve makes the assembly process transparent, enables rapid identification and correction of abnormalities, and ensures the product quality. In addition, the precise assembly technology can shorten the assembly time, improve the production efficiency, reduce the rework cost caused by assembly problems, and further enhance the competitiveness of the enterprise.
[0063] Preferably, it is characterized in that the assembly pressure, feed speed and skew degree during the assembly process are automatically measured, and a fault self-diagnosis strategy is executed to automatically stop the assembly process, including:
[0064] Real-time measure the actual measured value G during the assembly process, and the actual measured value includes the assembly pressure F1, feed speed v1 and skew degree β1;
[0065] According to the assembly standard value G1, the assembly standard value includes the assembly standard pressure F, standard feed speed v and standard inclination degree β, and judge whether there is a fault by comparing the actual measured value with the standard value respectively;
[0066] If an abnormality occurs during the assembly process, trigger the fault self-diagnosis strategy;
[0067] Automatically stop all operations in the assembly process, lock the machine status, and emit an alarm signal;
[0068] Conduct automatic fault diagnosis, analyze the cause of the fault, and adopt different fault repair strategies according to different causes of the fault;
[0069] If there is a fault in the assembly pressure, automatically adjust the magnitude of the assembly pressure;
[0070] If there is a fault in the feed speed, automatically adjust the feed speed according to the assembly requirements;
[0071] If a tilting fault occurs, check the positioning device and automatically adjust the accuracy;
[0072] Restart the assembly process according to the fault repair strategy.
[0073] By automatically measuring the assembly pressure, feed speed, and degree of skew during the assembly process and implementing the automatic fault diagnosis strategy, the safety and stability of the assembly process can be effectively improved. Real-time monitoring of the difference between the actual measured value and the standard value can quickly identify potential faults in the assembly, trigger the automatic stop of the assembly process, and avoid more serious equipment damage or quality defects. The introduction of automatic fault diagnosis not only reduces the burden of manual inspection but also ensures the smooth progress of the assembly process through rapid response, improving the overall production efficiency and product quality.
[0074] Preferably, it is characterized in that collecting the data of the whole process of processing and assembly to generate a quality traceability record, including:
[0075] Collect all the data in the processing and assembly process and upload all the data to the data server;
[0076] Create independent production files for all the data according to the data type;
[0077] Regularly conduct backups and inspections to eliminate the risk of data loss;
[0078] Automatically generate a quality traceability report based on all the data and provide a query function.
[0079] By collecting the data of the whole process of processing and assembly to generate a quality traceability record, it can provide a reliable basis for subsequent quality management and traceability. The integration and upload of all the data to the data server ensure the long-term preservation and accessibility of information, facilitating regular backups and inspections to prevent data loss. By creating independent production files according to the data type, enterprises can effectively improve the traceability of product quality, timely discover and solve potential problems. At the same time, the automatically generated quality traceability report provides detailed quality control basis for enterprises, enhances customer trust, and adds strong support to the corporate image.
[0080] The present invention has the following beneficial effects:
[0081] 1. For the processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology, by implementing the processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology, enterprises can significantly improve production efficiency and processing accuracy. This process first rough-machines the motor housing, and then uses ultrasonic-assisted technology for fine machining to ensure the surface finish and geometric accuracy of the machining. This ability to detect the dimensional and positional changes during the machining process in real time makes the quality of the workpieces more consistent, reduces the need for manual intervention, and lowers the risk of human errors. In addition, the automated machining trajectory correction and dynamic feedback mechanism not only improve production efficiency but also make the entire machining process more intelligent and reliable. Therefore, enterprises can maintain an advantage in the fierce market competition and meet the growing quality requirements of customers.
[0082] 2. For the processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology, by introducing the ultrasonic-assisted machining strategy, enterprises can significantly improve machining efficiency and surface quality during the fine machining stage. This technology can automatically adjust the machining path and speed and correct errors in real time by collecting the actual dimensions and positions of the motor housing in real time and setting target values. This method reduces tool wear, increases the service life of the tool, makes the machining surface smoother, and reduces the complexity and cost of subsequent processing. The application of ultrasonic vibration not only enhances the control of cutting force but also improves the overall quality of the workpiece, increases the output rate of the production line, and thus improves the market competitiveness of enterprises.
[0083] 3. For the processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology, by implementing the strategy of refining and polishing with a rotating grinding disc, enterprises can effectively remove the nodules on the surface of the steel sleeve, thereby improving the product quality. In this process, by comprehensively measuring the surface irregularities of the steel sleeve, accurately capturing the positions and shapes of the nodules, and then setting the rotation parameters and polishing depth of the grinding disc, it is ensured that the problems are removed without affecting the overall structure of the steel sleeve. This precisely controlled polishing process not only improves the surface finish and accuracy of the steel sleeve but also reduces material waste and optimizes the use of production resources. This refining and polishing process not only enhances the market competitiveness of the product but also meets the high-standard industry requirements and ensures customer satisfaction.
[0084] 4. The processing technology of the bearing steel sleeve for the automotive motor housing based on numerical control technology enables enterprises to achieve significant performance improvement during the surface treatment of the steel sleeve by integrating laser quenching technology. Laser quenching divides the surface of the steel sleeve into multiple heating zones and adopts an intermittent heating mode, ensuring the uniformity and efficiency of the heating process. This technology not only improves the wear resistance and load-bearing capacity of the steel sleeve, reduces the maintenance cost, but also enhances the reliability of the product in harsh working environments. The rapid cooling of the laser beam forms a hardened layer on the surface of the steel sleeve, thereby extending the service life of the product. In addition, the integration with the numerical control system ensures the automation and intelligence of the processing, further improving the production efficiency and helping enterprises maintain a competitive edge in the market.
[0085] 5. The processing technology of the bearing steel sleeve for the automotive motor housing based on numerical control technology enables enterprises to effectively improve the accuracy and controllability of the processing process by implementing real-time monitoring of the inner hole size, roundness, and roughness of the steel sleeve. Obtaining the data during the processing in real time and comparing it with the target data enables potential quality deviations to be quickly identified and corrected. The combination of this intelligent measurement and control and dynamic feedback mechanism can timely adjust the processing parameters to ensure that the product meets the set quality standards. By reducing manual intervention, the automation level of the production line is improved, thereby increasing the production efficiency and product consistency, and further enhancing the market competitiveness and customer satisfaction of the enterprise.
[0086] 6. The processing technology of the bearing steel sleeve for the automotive motor housing based on numerical control technology enables enterprises to ensure high coaxiality and fitting accuracy during the assembly process by aligning and calibrating the steel sleeve with the motor housing and adopting the automatic precision assembly technology for high-strength steel sleeves. This technology uses the principle of thermal expansion and contraction for interference interference fit, effectively improving the reliability of the assembly and reducing the possibility of human error. Real-time monitoring of the assembly pressure and actual control curve makes the assembly process transparent, enabling anomalies to be quickly identified and corrected to ensure product quality. The efficient assembly technology not only shortens the assembly time, improves the productivity, but also reduces the rework cost caused by assembly problems, enhancing the overall competitiveness of the enterprise.
[0087] 7. The processing technology of the bearing steel sleeve for the automotive motor housing based on numerical control technology enables enterprises to greatly improve the safety and stability of the assembly process by implementing automatic measurement of the pressure, feed speed, and deflection degree during the assembly process and executing a fault self-diagnosis strategy. Real-time monitoring of the difference between the actual measurement value and the standard value can quickly identify potential faults in the assembly, timely trigger the automatic stop of the assembly process, and avoid more serious equipment damage and quality problems. This mechanism reduces the burden of manual inspection and ensures the smooth progress of the assembly process through rapid response, improving the overall production efficiency and product quality, and ensuring that the enterprise can maintain an advantage in the highly competitive market.
[0088] 8. The processing technology of the bearing steel sleeve for the automotive motor housing based on numerical control technology enables enterprises to provide a solid foundation for future quality management and traceability by collecting data throughout the processing and assembly processes and generating quality traceability records. This method of data integration and uploading to the server ensures the long-term preservation and accessibility of information, effectively preventing data loss. By creating independent production files according to data types, enterprises can improve the traceability of product quality, promptly identify and solve potential problems. In addition, the automatically generated quality traceability reports provide enterprises with detailed quality control bases, enhancing customer trust and further improving the enterprise's image and position in the market. Description of the Drawings
[0089] Figure 1 This is a schematic diagram of the process flow of the present invention. Detailed Embodiments
[0090] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0091] Example 1. Refer to Figure 1 , the processing technology of the bearing steel sleeve for the automotive motor housing based on numerical control technology includes:
[0092] Select lightweight materials, perform preliminary rough machining on the motor housing, execute an ultrasonic-assisted machining strategy, and perform fine machining;
[0093] Real-time detect the dimensional and positional changes during the machining process, and automatically adjust and compensate according to the detection results;
[0094] Cut the raw material of the steel sleeve to the specified length, perform rough turning on the outer circle and end face, establish a reference surface, replace the fine turning tool, and perform fine turning on the outer circle;
[0095] According to the reference surface, execute a rotating grinding wheel refinement and polishing strategy to polish the surface nodules of the steel sleeve;
[0096] Execute a surface partition laser quenching strategy, integrate laser quenching with the numerical control system during the machining process, and perform partition hardening treatment on the surface of the steel sleeve using laser quenching;
[0097] Real-time monitor the inner hole size, roundness, and hardening effect of the steel sleeve, execute an intelligent measurement and control and dynamic feedback correction strategy, and measure data;
[0098] According to the measured data, feedback the data to the numerical control system for automatic correction of the machining trajectory;
[0099] Align the steel sleeve with the motor housing for centering calibration, implement the automatic precision assembly technology strategy for high-strength steel sleeves, control the interference interference fit, and use thermal expansion and contraction to control the fitting accuracy;
[0100] Automatically measure the assembly pressure, feed speed, and deflection degree during the assembly process, implement the fault self-diagnosis strategy, and automatically stop the assembly process;
[0101] Automatically diagnose and automatically adjust faults through the numerical control system;
[0102] Collect data on the entire process of machining and assembly, and generate quality traceability records.
[0103] By adopting the machining process of the bearing steel sleeve of the automotive motor housing based on numerical control technology, the enterprise has significantly improved production efficiency and machining accuracy. This process selects lightweight materials, first performs rough machining, and then combines ultrasonic-assisted technology for fine machining, effectively improving the surface quality and geometric accuracy.
[0104] For the motor housing after rough machining, implement the ultrasonic-assisted machining strategy for fine machining, including:
[0105] Select lightweight materials as the blank of the motor housing, and perform rough machining on the blank;
[0106] Real-time collect the actual size D and actual position X of the motor housing structure, set the target position as X1, and the target size as D1;
[0107] Calculate the dimensional error ΔD = D - D1, and the position error ΔX = X - X1;
[0108] According to the dimensional error ΔD and the position error ΔX, automatically adjust the machining path and machining speed for real-time error correction;
[0109] After correcting the error, introduce ultrasonic-assisted machining technology to make the tool perform high-frequency micro-amplitude vibration during the cutting process to complete the machining process of the motor housing.
[0110] By implementing the ultrasonic-assisted machining strategy, the enterprise has achieved significant efficiency and quality improvements in the fine machining stage. This technology ensures that the machining path and speed can be automatically adjusted by real-time monitoring of the actual size and position of the motor housing, thereby correcting errors in real time. The introduction of ultrasonic vibration reduces the cutting force, reduces tool wear, and increases the tool life.
[0111] According to the reference plane, implement the rotary grinding wheel refinement and grinding strategy to grind the surface nodules of the steel sleeve, including:
[0112] Set the cutting length of the steel sleeve as A, determine the cutting position, and cut the steel sleeve raw material;
[0113] Fix the cut steel sleeve material and select the end face of the steel sleeve as the machining reference surface;
[0114] Set the cutting depth H and machine the end face of the steel sleeve to remove the allowance of the end face cutting depth H;
[0115] Replace the finish turning tool and set the cutting depth H1, where H1 < H, and remove the allowance of the end face cutting depth H1 of the steel sleeve;
[0116] Set the inner hole cutting depth H2 and remove the material of the inner hole cutting depth H2 of the steel sleeve;
[0117] Use a three-dimensional measuring instrument to comprehensively measure the surface of the steel sleeve, capture the irregularities on the surface of the steel sleeve, and obtain the specific positions (x i , y i ) of the nodules i, denoted as P = {(x1, y1), (x2, y2), …, (x n , y n )}, height h i , shape, size and distribution;
[0118] Set the grinding wheel parameters according to the shape and size of the nodules on the surface of the steel sleeve. The grinding wheel parameters include the rotation angle θ, rotation speed V, grinding depth L, grinding force and grinding wheel particle size of the grinding wheel;
[0119] Calculate the rotation angle θ of the grinding wheel,
[0120] Control the grinding depth L of the grinding wheel, L = h i ·(x i , y i ) - ∈, where ∈ represents the precision tolerance, and remove the nodules on the surface of the steel sleeve;
[0121] Set the rotational angular velocity of the grinding wheel as ω, and calculate the rotation speed V = r·ω of the grinding wheel, where r is the radius of the grinding wheel;
[0122] Adjust the rotational angular velocity of the grinding wheel to control the speed and path of the grinding wheel on the surface of the steel sleeve;
[0123] Perform targeted grinding according to the distribution of the nodules on the surface of the steel sleeve.
[0124] By implementing the refined grinding strategy of the rotating grinding wheel, the enterprise can effectively remove the nodules on the surface of the steel sleeve and significantly improve the overall quality of the product. In this process, by comprehensively measuring the irregularities on the surface of the steel sleeve, accurately identifying the position and shape of the nodules, and then setting the grinding wheel parameters, it is ensured that the overall structure of the steel sleeve is not affected during the grinding process. This refined grinding process not only improves the surface finish and machining accuracy of the steel sleeve, but also reduces material waste and optimizes the resource utilization efficiency. In addition, precise grinding control effectively enhances the market competitiveness of the product, ensures that it can meet high-standard industry requirements, and enhances customer satisfaction with the product.
[0125] Implement the surface zoning laser quenching strategy, integrate laser quenching with the numerical control system during the processing, and use laser quenching to perform zoning hardening treatment on the surface of the steel sleeve, including:
[0126] After the surface grinding of the steel sleeve is completed, according to the hardening requirements of the steel sleeve, the surface of the steel sleeve is divided into m regions;
[0127] Set the required heating temperature to C, and set the laser beam heating power according to temperature C;
[0128] Adopt the intermittent heating mode to perform intermittent heating on the surface of each steel sleeve, and the heat in the heated area is conducted to the unheated area after the temperature rises;
[0129] The transfer of the remaining heat causes the temperature of the middle unheated area to rise to C, completing the heating treatment of the middle area;
[0130] After the heating is completed, the laser beam stops acting, and the surface of the steel sleeve is rapidly cooled by spraying to harden the surface.
[0131] By combining laser quenching technology, the enterprise has achieved significant performance improvement in the surface treatment of the steel sleeve. Laser quenching divides the surface of the steel sleeve into multiple heating areas and adopts the intermittent heating mode to ensure uniform and efficient heating, thereby greatly improving the wear resistance and load-bearing capacity of the steel sleeve. In addition, the rapid cooling of the laser beam causes a hardened layer to form on the surface of the steel sleeve, effectively reducing the subsequent maintenance cost and enhancing the reliability of the product in harsh working environments. The integration with the numerical control system further enhances the automation and intelligence of the processing process, improves production efficiency, and enables the enterprise to maintain a competitive advantage in the market.
[0132] Real-time monitor the inner hole size, roundness and roughness of the steel sleeve, and implement the intelligent measurement and control and dynamic feedback correction strategy, measure the data, including:
[0133] Obtain the real-time data during the processing, and the real-time data includes the actual inner hole size, actual roundness and actual surface hardening effect of the steel sleeve;
[0134] Set target data, where the target data includes the target inner hole size of the steel sleeve, target roundness, and target surface hardening effect;
[0135] Set the normal error range as α, compare the real-time data with the target data respectively to obtain the error value α1. If α1 > α, trigger the dynamic feedback correction strategy;
[0136] Feed back the error value α1 to the numerical control system, and adjust different machining parameters according to the error type;
[0137] According to the adjusted machining parameters, automatically generate a new machining trajectory, and automatically perform new machining according to the new machining trajectory until the error value α1 between the real-time data and the target data is within the normal error range α.
[0138] By implementing real-time monitoring of the inner hole size, roundness, and roughness of the steel sleeve, enterprises can significantly improve the accuracy and controllability of the machining process. Obtaining the data during the machining process in real time and comparing it with the target data enables potential quality deviations to be quickly identified and corrected. The combination of intelligent measurement and control and the dynamic feedback mechanism can timely adjust the machining parameters to ensure that the product continuously meets the set quality standards. This automated monitoring process reduces the need for manual intervention, improves the efficiency and consistency of the production line, further enhances the market competitiveness of the enterprise, and ensures customer satisfaction and product reliability.
[0139] Align and calibrate the steel sleeve with the motor housing, implement the automatic precision assembly technology strategy for high-strength steel sleeves, and perform interference interference fit control, including:
[0140] Fix the motor housing in a special assembly tooling, and detect whether the inner hole of the motor housing is aligned with the axis of the steel sleeve;
[0141] Automatically adjust the position of the steel sleeve to make the position of the steel sleeve coincide with the center of the mating hole of the motor housing, meeting the high coaxiality requirement;
[0142] Adopt the thermal expansion and contraction technology for interference interference fit, heat the temperature of the motor housing to C1 to increase the inner hole to R;
[0143] Or perform a low-temperature cooling operation on the steel sleeve to shrink the outer diameter;
[0144] Use an automatic pressing device, set the standard assembly pressure F and the standard control curve S, and press the steel sleeve into the inner hole of the motor housing;
[0145] Real-time monitor the standard assembly pressure F1 and the actual control curve S1, compare the standard assembly pressure F with the standard assembly pressure F1, and the standard control curve S with the actual control curve S1 respectively to judge whether there is any abnormality in the assembly process;
[0146] Calculate the assembly pressure error ΔF = F1 - F and the control curve error ΔS = S1 - S, and keep the steel sleeve entering the specified position at a constant speed according to the control curve to complete the assembly.
[0147] By aligning and calibrating the steel sleeve with the motor housing and adopting the automatic precision assembly technology of high-strength steel sleeves, the enterprise can ensure high coaxiality and fitting accuracy in the assembly process. This technology utilizes the principle of thermal expansion and contraction for interference interference fit, effectively improving the reliability of the assembly and reducing the risk of human error. Real-time monitoring of the assembly pressure and control curve makes the assembly process transparent, enabling quick identification and correction of abnormal situations, thus ensuring the stability of product quality. The efficient assembly technology not only shortens the assembly time, improves production efficiency, but also reduces the rework cost caused by assembly problems, enhancing the overall competitiveness of the enterprise.
[0148] Automatically measure the assembly pressure, feed speed, and deflection degree during the assembly process, execute the fault self-diagnosis strategy, and automatically stop the assembly process, including:
[0149] Measure the actual measured value G during the assembly process in real time, and the actual measured value includes the assembly pressure F1, the feed speed v1, and the deflection degree β1;
[0150] According to the assembly standard value G1, the assembly standard value includes the assembly standard pressure F, the standard feed speed v, and the standard inclination degree β, and determine whether there is a fault by comparing the actual measured value with the standard value respectively;
[0151] If an abnormality occurs during the assembly process, trigger the fault self-diagnosis strategy;
[0152] Automatically stop all operations in the assembly process, lock the machine state, and send an alarm signal;
[0153] Conduct automatic fault diagnosis, analyze the cause of the fault, and adopt different fault repair strategies according to different causes of the fault;
[0154] If there is a fault in the assembly pressure, automatically adjust the magnitude of the assembly pressure;
[0155] If there is a fault in the feed speed, automatically adjust the feed speed according to the assembly requirements;
[0156] If a tilt fault occurs, check the positioning device and automatically adjust the accuracy;
[0157] According to the fault repair strategy, restart the assembly process.
[0158] By implementing the automatic measurement of pressure, feed speed, and deflection degree during the assembly process and executing the fault self-diagnosis strategy, enterprises can significantly improve the safety and stability of the assembly process. Real-time monitoring of the deviation between the actual measurement value and the standard value can quickly identify potential faults, promptly trigger the automatic stop of the assembly process, and avoid more serious equipment damage or quality defects. This self-diagnosis mechanism reduces the burden of manual inspection and ensures the smooth progress of the assembly process through rapid response, improving the overall production efficiency and product quality, and ensuring that enterprises can maintain an advantage in the highly competitive market environment.
[0159] Collect data throughout the entire process of machining and assembly to generate quality traceability records, including:
[0160] Collect all data during the machining and assembly processes and upload all data to the data server;
[0161] Create independent production files for all data according to the data type;
[0162] Regularly perform backups and inspections to eliminate the risk of data loss;
[0163] Automatically generate a quality traceability report based on all data and provide a query function.
[0164] By collecting data throughout the entire process of machining and assembly, enterprises can generate detailed quality traceability records, providing a solid foundation for subsequent quality management. This method of data integration and uploading to the server ensures the long-term preservation and accessibility of information, effectively preventing data loss. By creating independent production files according to the data type, enterprises can not only improve the traceability of products but also promptly discover and solve potential problems. The automatically generated quality traceability report provides enterprises with detailed quality control basis, enhances customer trust, and further improves the image and status of enterprises in the market.
[0165] It should be noted that in this article, relational terms such as first and second are only used 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 term "including", "comprising", or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or device including a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or device.
[0166] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.
Claims
1. The processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology is characterized in that, Including: Select lightweight materials, perform preliminary rough machining on the motor housing, execute an ultrasonic-assisted machining strategy, and conduct fine machining; Real-time detect the dimensional and positional changes during the machining process, and automatically adjust and compensate according to the detection results; Cut the raw material of the steel sleeve to the specified length, perform rough turning on the outer circle and end face machining, establish a reference surface, replace the fine turning tool, and perform fine turning on the outer circle; According to the reference surface, execute the rotary grinding wheel refinement and polishing strategy to polish the surface nodules of the steel sleeve; Execute the surface zoning laser quenching strategy, integrate laser quenching and numerical control system during the machining process, and use laser quenching to perform zoning hardening treatment on the surface of the steel sleeve; Real-time monitor the inner hole size, roundness, and hardening effect of the steel sleeve, execute the intelligent measurement and control and dynamic feedback correction strategy, and measure data; According to the measured data, feed the data back to the numerical control system for automatic correction of the machining trajectory; Align and calibrate the steel sleeve and the motor housing, execute the automatic precision assembly technology strategy for high-strength steel sleeves, conduct interference interference fit control, and use thermal expansion and contraction to control the fit accuracy; Automatically measure the assembly pressure, feed speed, and deflection degree during the assembly process, execute the fault self-diagnosis strategy, and automatically stop the assembly process; Automatically diagnose and automatically adjust the fault through the numerical control system; Collect data on the entire process of machining and assembly, and generate quality traceability records.
2. The processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology according to claim 1, characterized in that, For the motor housing after rough machining, execute the ultrasonic-assisted machining strategy to conduct fine machining, including: Select lightweight materials as the blank of the motor housing, and perform rough machining on the blank; Real-time collect the actual size D and actual position X of the motor housing structure, set the target position as X1, and the target size as D1; Calculate the dimensional error ΔD = D - D1, and the positional error ΔX = X - X1; According to the dimensional error ΔD and the positional error ΔX, automatically adjust the machining path and machining speed, and perform real-time error correction; After correcting the error, introduce ultrasonic-assisted machining technology to make the tool perform high-frequency micro-amplitude vibration during cutting, and complete the machining process of the motor housing.
3. The processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology according to claim 1, wherein, The rotary grinding wheel refinement and polishing strategy for polishing the surface nodules of the steel sleeve according to the reference surface includes: Set the cutting length of the steel sleeve as A, determine the cutting position, and cut the raw material of the steel sleeve; Fix the cut steel sleeve material, and select the end face of the steel sleeve as the machining reference surface; Set the cutting depth H, and cut the end face of the steel sleeve to remove the allowance of the end face cutting depth H; Replace the fine turning tool, set the cutting depth H1, where H1 < H, and remove the allowance of the end face cutting depth H1 of the steel sleeve; Set the inner hole cutting depth H2, and remove the material of the inner hole cutting depth H2 of the steel sleeve; The surface of the steel sleeve is comprehensively measured by a three-dimensional measuring instrument to capture the irregularities on the surface of the steel sleeve and obtain the specific position (x i , y i ) of the nodule i, denoted as P = {(x1, y1), (x2, y2), …, (x n , y n ), height h i , shape, size and distribution; According to the shape and size of the surface nodules of the steel sleeve, set the grinding wheel parameters, and the grinding wheel parameters include the rotation angle θ of the grinding wheel, the rotation speed V, the grinding depth L, the grinding force, and the grinding wheel particle size; Calculate the rotation angle θ of the grinding wheel, Control the grinding depth L of the grinding disc, L = h i ·(x i , y i ) - ∈, where ∈ represents the precision tolerance, to remove the nodules on the surface of the steel sleeve; Set the rotational angular velocity of the grinding wheel as ω, and calculate the rotation speed V of the grinding wheel = r·ω, where r is the radius of the grinding wheel; Adjust the rotational angular velocity of the grinding wheel to control the speed and path of the grinding wheel on the surface of the steel sleeve; According to the distribution of the surface nodules of the steel sleeve, adjust the grinding angle of the grinding wheel to maximize the contact surface between the grinding wheel and the nodules.
4. The processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology according to claim 3, characterized in that, Implement the surface partition laser quenching strategy, integrating laser quenching and numerical control system integration during the machining process, and using laser quenching to perform partition hardening treatment on the surface of the steel sleeve, including: After the surface of the steel sleeve is polished, divide the surface of the steel sleeve into m regions according to the hardening requirements of the steel sleeve; Set the required heating temperature to C, and set the laser beam heating power according to the temperature C; Adopt an intermittent heating mode to intermittently heat the surface of each steel sleeve, and the heat is conducted from the heated area to the unheated area after the temperature of the heated area rises; The transfer of the remaining temperature raises the temperature of the middle unheated area to C, completing the heating treatment of the middle area; After the heating is completed, the laser beam stops acting, and the surface of the steel sleeve is rapidly cooled by spray cooling to harden the surface.
5. The processing technology of the bearing steel sleeve for the automotive motor housing based on numerical control technology according to claim 3, characterized in that, Implement the intelligent measurement and control and dynamic feedback correction strategy by real-time monitoring the inner hole size, roundness and roughness of the steel sleeve, and measure the data, including: Obtain the real-time data during the machining process, and the real-time data includes the actual inner hole size, actual roundness and actual surface hardening effect of the steel sleeve; Set the target data, and the target data includes the target inner hole size, target roundness and target surface hardening effect of the steel sleeve; Set the normal error range to α, compare the real-time data and the target data respectively to obtain the error value α1. If α1>α, trigger the dynamic feedback correction strategy; Feed back the error value α1 to the numerical control system, and adjust different machining parameters according to the error type; According to the adjusted machining parameters, automatically generate a new machining trajectory, and automatically perform new machining according to the new machining trajectory until the error value α1 between the real-time data and the target data is within the normal error range α.
6. The processing technology of the bearing steel sleeve for the automotive motor housing based on numerical control technology according to claim 1, wherein, Align and calibrate the steel sleeve with the motor housing, and implement the automatic precision assembly technology strategy for high-strength steel sleeves to perform interference interference fit control, including: Fix the motor housing in a special assembly fixture, and detect whether the inner hole of the motor housing is aligned with the axis of the steel sleeve; Automatically adjust the position of the steel sleeve to make the position of the steel sleeve coincide with the center of the mating hole of the motor housing, meeting the high coaxiality requirements; Adopt the thermal expansion and contraction technology for interference interference fit, heat the temperature of the motor housing to C1 to increase the inner hole to R; Or perform a low-temperature cooling operation on the steel sleeve to shrink the outer diameter; Use an automatic pressing device, set the standard assembly pressure F and the standard control curve S, and press the steel sleeve into the inner hole of the motor housing; Real-time monitor the standard assembly pressure F1 and the actual control curve S1, compare the standard assembly pressure F and the standard assembly pressure F1, and the standard control curve S and the actual control curve S1 respectively to judge whether there is any abnormality in the assembly process; Calculate the assembly pressure error ΔF = F1 - F and the control curve error ΔS = S1 - S, and make the steel sleeve enter the specified position at a constant speed according to the control curve to complete the assembly.
7. The machining process of the bearing steel sleeve for the automotive motor housing based on numerical control technology according to claim 6, characterized in that, Automatically measure the assembly pressure, feed speed and deflection degree during the assembly process, implement the fault self-diagnosis strategy, and automatically stop the assembly process, including: Real-time measure the actual measured value G during the assembly process, and the actual measured value includes the assembly pressure F1, the feed speed v1 and the deflection degree β1; According to the assembly standard value G1, the assembly standard value includes the assembly standard pressure F, the standard feed speed v, and the standard inclination degree β. Whether there is a fault is judged by comparing the actual measured value with the standard value respectively; If an abnormality occurs during the assembly process, a fault self-diagnosis strategy is triggered; Automatically stop all operations in the assembly process, lock the machine state and send an alarm signal; Conduct automatic fault diagnosis, analyze the cause of the fault, and adopt different fault repair strategies according to different causes of the fault; If a fault occurs in the assembly pressure, automatically adjust the magnitude of the assembly pressure; If a fault occurs in the feed speed, automatically adjust the feed speed according to the assembly requirements; If an inclination fault occurs, check the positioning device and automatically adjust the accuracy; Restart the assembly process according to the fault repair strategy.
8. The processing technology of the bearing steel sleeve of the automotive motor housing based on numerical control technology according to claim 1, characterized in that, Collect the data of the whole process of machining and assembly, generate a quality traceability record, including: Collect all the data in the machining and assembly processes and upload all the data to the data server; Create independent production files for all the data according to the data types respectively; Regularly conduct backups and inspections to eliminate the risk of data loss; Automatically generate a quality traceability report based on all the data and provide a query function.
Citation Information
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