Grinding control system for reducing surface stress difference of workpiece

Abstract

The invention discloses a grinding control system for reducing the surface stress difference of a workpiece, relates to the technical field of workpiece grinding, and can dynamically monitor the state change in the grinding process by collecting temperature, vibration, cutting force and stress data in real time to ensure timely response to potential problems. The collected data is cleaned and standardized, the data quality is improved, the index cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv are extracted, and a reliable basis is provided for subsequent analysis. And the grinding strategy optimization module dynamically adjusts the feeding speed Vf and the grinding depth d based on feedback information, fine control is achieved, the surface stress difference of the workpiece is reduced, and the surface quality is improved. The surface stress difference is reduced, the use performance and the service life of the workpiece are remarkably improved, grinding parameters are adjusted in real time, defects in the grinding process can be effectively reduced, the rejection rate is reduced, the grinding parameters and the stable operation process are accurately controlled, and the overall production efficiency is improved.

Description

Technical Field

[0001] The invention relates to the technical field of workpiece grinding, in particular to a grinding control system for reducing surface stress difference of a workpiece. Background Art

[0002] In modern manufacturing, grinding, as a key post-processing process, is widely used in the processing of mechanical parts. This field covers a variety of technologies from metal cutting to precision machining. Grinding technology is particularly important in environments with high precision and high surface quality requirements. With the continuous advancement of manufacturing technology, grinding control systems are gradually developing towards intelligence and automation to meet diverse processing needs.

[0003] Moreover, traditional grinding strategies are often set based on experience, lacking real-time monitoring and feedback mechanisms, and unable to be dynamically adjusted according to actual conditions. This leads to increased stress differences on the workpiece surface during processing, affecting the quality of the final product, especially in the processing of high-strength materials and complex-shaped workpieces, where problems of over-grinding or under-grinding often occur.

[0004] These shortcomings are caused by the lack of full use of real-time data during the grinding process. Due to the inability to adjust the grinding parameters in time, the workpiece is prone to stress concentration during the grinding process, resulting in abnormal effects such as surface defects, material fatigue and strength reduction. This not only reduces the service life of the workpiece, but may also cause more serious structural failures, affecting the efficiency and reliability of the entire production process. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a grinding control system for reducing the stress difference on the workpiece surface, thereby solving the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a grinding control system for reducing the surface stress difference of a workpiece, comprising a data acquisition module, a data preprocessing module, a real-time monitoring and feedback module, a grinding strategy optimization module, a control execution module and a result analysis and reporting module;

[0007] The data acquisition module collects temperature data, vibration data, cutting force data and stress data during the grinding process through sensors, and integrates the temperature data, vibration data, cutting force data and stress data to establish a data set W;

[0008] The data preprocessing module cleans and standardizes the data set W collected by the data acquisition module to obtain a standardized data set WX; and extracts the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv;

[0009] The real-time monitoring and feedback module extracts the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv according to the data preprocessing module, monitors the stress changes during the grinding process, and calculates the stress difference value , and provide feedback information Ff;

[0010] The grinding strategy optimization module dynamically adjusts grinding parameters including feed speed Vf and grinding depth d based on the feedback information Ff provided; calculates the influence of stress change on the grinding process and proposes an adjustment strategy;

[0011] The control execution module automatically adjusts the operating parameters of the machine tool according to the adjustment strategy output by the grinding strategy optimization module to ensure the stability and consistency of the grinding process;

[0012] The result analysis and reporting module generates a comprehensive report of the grinding process, including stress distribution, based on the adjusted machine tool operating parameters. , Grinding efficiency And workpiece surface quality Ra.

[0013] Preferably, the data acquisition module includes a temperature acquisition unit and a force and vibration acquisition unit;

[0014] The temperature acquisition unit monitors the temperature change during the grinding process in real time through an infrared temperature sensor and collects temperature data of the grinding area;

[0015] The force and vibration acquisition unit collects vibration data, cutting force data and stress data of the grinding equipment through vibration sensors, cutting force sensors and stress sensors, wherein the vibration data includes the mechanical vibration frequency fv, vibration amplitude and vibration energy, the cutting force data includes the cutting force fluctuation coefficient Kf and the normal cutting force, and the stress data includes the stress distribution coefficient Sd, stress value and stress change rate. The temperature data, vibration data, cutting force data and stress data are integrated to establish a data set W.

[0016] Preferably, the data preprocessing module includes a data cleaning unit, a data standardization unit and a feature extraction unit;

[0017] The data cleaning unit cleans the data set W collected by the data collection module, including removing noise and detecting outliers, and deleting abnormal data to obtain a cleaned data set WC;

[0018] The data standardization unit performs standardization processing on the cleaned data set WC to obtain a standardized data set WX;

[0019] The feature extraction unit performs feature extraction on the standardized data set WX to obtain the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv.

[0020] The cutting force fluctuation coefficient Kf is obtained by the following formula:

[0021] K ;

[0022] In the formula, represents the peak value of cutting force, Indicates the valley value of cutting force, It represents the average value of cutting force;

[0023] The stress distribution coefficient Sd is obtained by the following formula:

[0024] Sd ;

[0025] In the formula, It represents the stress value of the i-th measuring point, which is obtained from the stress sensor. n represents the number of measuring points. represents the average value of stress value;

[0026] Preferably, the real-time monitoring and feedback module includes a real-time monitoring unit and a feedback adjustment unit;

[0027] The real-time monitoring unit monitors the stress changes during the grinding process in real time and calculates the stress difference value according to the cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv obtained from the data preprocessing module ;

[0028] The stress difference value Obtained by the following formula:

[0029] ;

[0030] In the formula, represents the stress value at the current moment, represents the stress value at the previous moment;

[0031] The feedback adjustment unit is based on the stress difference value monitored by the real-time monitoring unit. and stress parameters, wherein the stress parameters include cutting force fluctuation coefficient Kf, stress distribution coefficient Sd, mechanical vibration frequency fv and comprehensive stress difference DS;

[0032] The comprehensive stress difference DS is obtained by the following formula:

[0033] DS ;

[0034] Generate feedback information Ff and guide subsequent grinding strategy adjustments, analyze the current grinding status, and make corresponding adjustment suggestions including changing the feed speed Vf and changing the grinding depth d;

[0035] The feedback information Ff is obtained by the following formula:

[0036] F ;

[0037] In the formula, They represent the weight values ​​of cutting force fluctuation coefficient Kf, stress distribution coefficient Sd, and mechanical vibration frequency fv, respectively. Represents an exponential function.

[0038] Preferably, the grinding strategy optimization module includes a parameter adjustment unit and an impact assessment unit;

[0039] The parameter adjustment unit is based on the stress difference value provided by the real-time monitoring and feedback module. , dynamically adjust grinding parameters including feed speed Vf and grinding depth d, analyze the impact of stress changes on the grinding process, and calculate new grinding parameters ;

[0040] The grinding parameters Obtained through the following calculation formula:

[0041] ;

[0042] In the formula, It represents the parameters affecting the grinding process, k represents the influence coefficient of stress change on grinding parameters, Represents the stress difference value.

[0043] Preferably, the impact assessment unit is responsible for calculating the impact of stress changes on the grinding process, including the assessment of surface quality, grinding efficiency and tool life, according to the stress parameters and grinding parameters and propose specific adjustment strategies;

[0044] The adjustment strategy includes the adjustment strategy of feed speed Vf, the adjustment strategy of grinding depth d and the grinding tool replacement strategy;

[0045] Obtain speed change through feed speed Vf adjustment strategy , obtain the depth change through the adjustment strategy of grinding depth d .

[0046] The speed change Obtained by the following formula:

[0047] ;

[0048] In the formula, represents the influence coefficient of cutting force on feed rate change, c represents the constant term, which is used to adjust the basic value of feed rate to ensure proper adjustment under specific conditions;

[0049] The depth variation Obtained by the following formula:

[0050] ;

[0051] In the formula, represents the influence coefficient of mechanical vibration frequency and cutting force on depth change, and c represents the constant term;

[0052] Adjustment strategy of feed speed Vf: When the cutting force fluctuation coefficient Kf increases, it means that the cutting force fluctuation is aggravated and the feed speed Vf needs to be reduced;

[0053] When the stress distribution coefficient Sd increases, it means that the stress distribution is uneven and the feed speed Vf needs to be reduced; the speed change is obtained through the feed speed Vf adjustment strategy ; Obtain the adjusted feed speed through the feed speed adjustment strategy;

[0054] Adjustment strategy of grinding depth d: When the stress difference value Increase, grinding parameters It will increase accordingly, and the grinding depth d needs to be reduced. When the stress changes significantly, the grinding depth should be reduced by 1mm to avoid damage to the workpiece surface.

[0055] When the mechanical vibration frequency fv exceeds the set safety threshold T fv , then the grinding depth d needs to be reduced to reduce vibration; the depth change is obtained through the grinding depth d adjustment strategy ; Obtain the adjusted grinding depth through the grinding depth adjustment strategy;

[0056] Grinding tool replacement strategy: When the mechanical vibration frequency fv increases and the cutting force fluctuation coefficient Kf increases, it means that the tool is worn and needs to be replaced immediately.

[0057] Preferably, the control execution module includes a parameter execution unit and a state monitoring unit;

[0058] The parameter adjustment unit receives the adjustment strategy output by the grinding strategy optimization module and automatically adjusts the operating parameters of the machine tool, including the feed adjustment speed. , Grinding adjustment depth and grinding tool changes, ensuring that changes in operating parameters comply with adjustment strategies and maintain stability and consistency of the grinding process;

[0059] Among them, feed adjustment speed The amount of speed change Get, grinding adjustment depth By depth variation Get;

[0060] The feed adjustment speed Obtained by the following formula:

[0061] = +Vf;

[0062] The grinding adjustment depth Obtained by the following formula:

[0063] = +d;

[0064] Preferably, the state monitoring unit monitors the working state of the machine tool after executing the adjustment strategy, including cutting force, temperature, vibration and rotation speed, and feeds back the monitored data to the parameter adjustment unit, and makes adjustments according to actual conditions to ensure efficient operation of the grinding process;

[0065] Obtain the comprehensive evaluation S of the current state of the machine tool through the state monitoring unit and compare it with the set state threshold ST;

[0066] When the comprehensive evaluation S>state threshold ST, the parameters are adjusted;

[0067] When the comprehensive evaluation S ≤ state threshold ST, the grinding equipment operates normally and no adjustment is made.

[0068] Preferably, the result analysis and reporting module includes a result analysis unit and a report generation unit;

[0069] The result analysis unit is responsible for extracting key information from the data collected during the grinding process, including stress distribution , Grinding efficiency And workpiece surface quality Ra, through data analysis, generate statistical information and charts.

[0070] Preferably, the report generation unit generates the stress distribution obtained by the result analysis unit. , Grinding efficiency Integrate with the workpiece surface quality Ra, fill in the preset report format, and generate a report to inform relevant personnel, including chart reports and conclusion reports.

[0071] The present invention provides a grinding control system for reducing the surface stress difference of a workpiece, which has the following beneficial effects:

[0072] (1) When the system is running, by collecting temperature, vibration, cutting force and stress data in real time, it can dynamically monitor the state changes in the grinding process to ensure timely response to potential problems. The collected data is cleaned and standardized to improve data quality, and the indicators of cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv are extracted to provide a reliable basis for subsequent analysis. The grinding strategy optimization module dynamically adjusts the feed speed Vf and grinding depth d based on feedback information to achieve refined control, reduce the surface stress difference of the workpiece, and improve the surface quality.

[0073] The control execution module can automatically adjust the machine tool operating parameters to ensure the stability and consistency of the grinding process, thereby reducing human errors in operation. The comprehensive report generated by the result analysis and reporting module not only provides stress distribution and grinding efficiency, but also effectively evaluates the surface quality Ra of the workpiece, helping users to identify and solve problems in a timely manner.

[0074] (2) Through the data cleaning unit and the standardization unit, noise and outliers are effectively removed to ensure data accuracy and avoid decision errors caused by data quality issues. The feature extraction unit can extract key indicators such as cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv from the standardized data set, providing necessary parameter support for subsequent real-time monitoring and grinding strategy optimization.

[0075] By using infrared temperature sensors and a combination of multiple sensors, comprehensive monitoring of the grinding process can be achieved, significantly improving monitoring accuracy. After cleaning and standardization, the high quality of the data is guaranteed, redundant information and potential measurement errors are effectively reduced, and a more reliable basis for decision-making is provided. Through feature extraction, the system can extract valuable information from complex data, promote the intelligence of grinding control, and improve the degree of automation of operations. The key indicators provided will support subsequent dynamic adjustments, ensure the stability and consistency of the grinding process, and thus improve the surface quality and production efficiency of the workpiece.

[0076] (3) The real-time monitoring unit can continuously track stress changes during the grinding process and calculate stress difference values ​​in a timely manner. This dynamic monitoring ensures that potential abnormal situations can be quickly identified and improves the response speed of the system.

[0077] The feedback adjustment unit uses the cutting force fluctuation coefficient Kf, stress distribution coefficient Sd, mechanical vibration frequency fv and comprehensive stress difference DS for in-depth analysis to provide a more comprehensive grinding status assessment. This multi-dimensional analysis enhances the decision-making ability of the system. The generated feedback information Ff is based on real-time data analysis and provides a scientific basis for subsequent grinding strategy adjustments. The system can automatically make adjustment suggestions based on the monitored stress differences, significantly improving the level of intelligent operation.

[0078] The parameter adjustment unit dynamically adjusts the feed speed Vf and grinding depth d according to the stress difference value to optimize the grinding process. This adjustment can significantly reduce the stress difference on the workpiece surface and improve the overall quality of the workpiece.

[0079] (4) Generate statistical information and charts through data analysis. The result analysis unit can present complex data in an intuitive way, helping relevant personnel to quickly understand the performance of the grinding process and support more effective decision-making. The report generation unit can automatically fill in the analysis results according to the preset format, generate chart reports and conclusion reports. This automated process saves time, ensures the consistency and standardization of reports, and reduces human errors.

[0080] The generated reports can inform relevant personnel in a timely manner, ensuring that all stakeholders can grasp the key data and conclusions of the grinding process, and promote effective communication and collaboration between teams. Through the analysis of stress distribution and grinding efficiency, potential problems in the grinding process can be identified and improvement suggestions can be provided, thereby optimizing the production process and improving overall efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 The present invention is a block diagram of a grinding control system for reducing surface stress differences of workpieces. DETAILED DESCRIPTION

[0082] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0083] Embodiment 1, the present invention provides a grinding control system for reducing the stress difference on the workpiece surface, see Figure 1 , including data acquisition module, data preprocessing module, real-time monitoring and feedback module, grinding strategy optimization module, control execution module and result analysis and reporting module;

[0084] The data acquisition module collects temperature data, vibration data, cutting force data and stress data during the grinding process through sensors, and integrates the temperature data, vibration data, cutting force data and stress data to establish a data set W;

[0085] The data preprocessing module cleans and standardizes the data set W collected by the data acquisition module to obtain a standardized data set WX; and extracts the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv;

[0086] The real-time monitoring and feedback module extracts the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv according to the data preprocessing module, monitors the stress changes during the grinding process, and calculates the stress difference value , and provide feedback information Ff;

[0087] The grinding strategy optimization module dynamically adjusts grinding parameters including feed speed Vf and grinding depth d based on the feedback information Ff provided; calculates the influence of stress change on the grinding process and proposes an adjustment strategy;

[0088] The control execution module automatically adjusts the operating parameters of the machine tool according to the adjustment strategy output by the grinding strategy optimization module to ensure the stability and consistency of the grinding process;

[0089] The result analysis and reporting module generates a comprehensive report of the grinding process, including stress distribution, based on the adjusted machine tool operating parameters. , Grinding efficiency And workpiece surface quality Ra.

[0090] In this embodiment, by collecting temperature, vibration, cutting force and stress data in real time, the state changes in the grinding process can be dynamically monitored to ensure timely response to potential problems. The collected data is cleaned and standardized to improve data quality, and the index cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv are extracted to provide a reliable basis for subsequent analysis. The grinding strategy optimization module dynamically adjusts the feed speed Vf and grinding depth d based on feedback information to achieve refined control, reduce the surface stress difference of the workpiece, and improve the surface quality.

[0091] The control execution module can automatically adjust the machine tool operating parameters to ensure the stability and consistency of the grinding process, thereby reducing human errors in operation. The comprehensive report generated by the result analysis and reporting module not only provides stress distribution and grinding efficiency, but also effectively evaluates the surface quality Ra of the workpiece, helping users to identify and solve problems in a timely manner.

[0092] By reducing the surface stress difference, the performance and life of the workpiece can be significantly improved.

[0093] Real-time adjustment of grinding parameters can effectively reduce defects in the grinding process and reduce scrap rates.

[0094] Precise control of grinding parameters and stable operation process improve overall production efficiency.

[0095] Adjustment strategies based on data analysis make the grinding process more intelligent and improve the scientificity and effectiveness of decision-making.

[0096] Example 2: This example is an explanation of Example 1. Figure 1,Specifically: the data acquisition module includes a temperature acquisition unit and a force and vibration acquisition unit;

[0097] The temperature acquisition unit monitors the temperature change during the grinding process in real time through an infrared temperature sensor and collects temperature data of the grinding area;

[0098] The force and vibration acquisition unit collects vibration data, cutting force data and stress data of the grinding equipment through vibration sensors, cutting force sensors and stress sensors, wherein the vibration data includes the mechanical vibration frequency fv, vibration amplitude and vibration energy, the cutting force data includes the cutting force fluctuation coefficient Kf and the normal cutting force, and the stress data includes the stress distribution coefficient Sd, stress value and stress change rate. The temperature data, vibration data, cutting force data and stress data are integrated to establish a data set W.

[0099] The data preprocessing module includes a data cleaning unit, a data standardization unit and a feature extraction unit;

[0100] The data cleaning unit cleans the data set W collected by the data collection module, including removing noise and detecting outliers, and deleting abnormal data to obtain a cleaned data set WC;

[0101] The data standardization unit performs standardization processing on the cleaned data set WC to obtain a standardized data set WX;

[0102] The feature extraction unit performs feature extraction on the standardized data set WX to obtain the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv.

[0103] In this embodiment, the temperature, vibration, cutting force and stress data in the grinding process can be monitored in real time through the temperature acquisition unit and the force and vibration acquisition unit, so as to obtain comprehensive and accurate operation data. The temperature, vibration, cutting force and stress data from different sources are integrated into a data set W, which provides a complete data basis for subsequent analysis and improves the comprehensiveness and reliability of the data.

[0104] Through the data cleaning unit and the standardization unit, noise and outliers are effectively removed to ensure data accuracy and avoid decision errors caused by data quality issues. The feature extraction unit can extract key indicators such as cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv from the standardized data set, providing necessary parameter support for subsequent real-time monitoring and grinding strategy optimization.

[0105] By using infrared temperature sensors and a combination of multiple sensors, comprehensive monitoring of the grinding process can be achieved, significantly improving monitoring accuracy. After cleaning and standardization, the high quality of the data is guaranteed, redundant information and potential measurement errors are effectively reduced, and a more reliable basis for decision-making is provided. Through feature extraction, the system can extract valuable information from complex data, promote the intelligence of grinding control, and improve the degree of automation of operations. The key indicators provided will support subsequent dynamic adjustments, ensure the stability and consistency of the grinding process, and thus improve the surface quality and production efficiency of the workpiece.

[0106] Example 3: This example is an explanation of Example 2. Figure 1 ,Specifically: the real-time monitoring and feedback module includes a real-time monitoring unit and a feedback adjustment unit;

[0107] The real-time monitoring unit monitors the stress changes during the grinding process in real time and calculates the stress difference value according to the cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv obtained from the data preprocessing module ;

[0108] The stress difference value Obtained by the following formula:

[0109] ;

[0110] In the formula, represents the stress value at the current moment, represents the stress value at the previous moment;

[0111] The feedback adjustment unit is based on the stress difference value monitored by the real-time monitoring unit. and stress parameters, wherein the stress parameters include cutting force fluctuation coefficient Kf, stress distribution coefficient Sd, mechanical vibration frequency fv and comprehensive stress difference DS;

[0112] The comprehensive stress difference DS is obtained by the following formula:

[0113] DS ;

[0114] Generate feedback information Ff and guide subsequent grinding strategy adjustments, analyze the current grinding status, and make corresponding adjustment suggestions including changing the feed speed Vf and changing the grinding depth d;

[0115] The feedback information Ff is obtained by the following formula:

[0116] F ;

[0117] Where f represents the feedback decision function, which is based on the comprehensive analysis of cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv.

[0118] The grinding strategy optimization module includes a parameter adjustment unit and an impact assessment unit;

[0119] The parameter adjustment unit is based on the stress difference value provided by the real-time monitoring and feedback module. , dynamically adjust grinding parameters including feed speed Vf and grinding depth d, analyze the impact of stress changes on the grinding process, and calculate new grinding parameters ;

[0120] The grinding parameters Obtained through the following calculation formula:

[0121] ;

[0122] In the formula, It represents the parameters affecting the grinding process, k represents the influence coefficient of stress change on grinding parameters, Represents the stress difference value.

[0123] In this embodiment, the real-time monitoring unit can continuously track the stress changes during the grinding process and calculate the stress difference value in a timely manner. This dynamic monitoring ensures that potential abnormal situations can be quickly identified and improves the response speed of the system.

[0124] The feedback adjustment unit uses the cutting force fluctuation coefficient Kf, stress distribution coefficient Sd, mechanical vibration frequency fv and comprehensive stress difference DS for in-depth analysis to provide a more comprehensive grinding status assessment. This multi-dimensional analysis enhances the decision-making ability of the system. The generated feedback information Ff is based on real-time data analysis and provides a scientific basis for subsequent grinding strategy adjustments. The system can automatically make adjustment suggestions based on the monitored stress differences, significantly improving the level of intelligent operation.

[0125] The parameter adjustment unit dynamically adjusts the feed speed Vf and grinding depth d according to the stress difference value to optimize the grinding process. This adjustment can significantly reduce the stress difference on the workpiece surface and improve the overall quality of the workpiece.

[0126] By monitoring stress changes in real time and discovering abnormal conditions in a timely manner, the risk of equipment damage and workpiece quality problems is reduced, and the safety of the production process is improved. Through the timely generation and analysis of feedback information, the grinding process can be accurately adjusted to ensure uniform stress distribution on the workpiece surface, thereby improving surface quality. The intelligent feedback mechanism reduces dependence on operators, has a high degree of automation, reduces the risk of human operating errors, and improves production efficiency. The system can adjust strategies in real time according to different materials and grinding conditions, improves the adaptability of the processing process, and enhances the flexibility and practicality of the system.

[0127] Example 4: This example is an explanation of Example 3. Figure 1 Specifically: the impact assessment unit is responsible for calculating the impact of stress changes on the grinding process, including the evaluation of surface quality, grinding efficiency and tool life, according to stress parameters and grinding parameters and propose specific adjustment strategies;

[0128] The adjustment strategy includes the adjustment strategy of feed speed Vf, the adjustment strategy of grinding depth d and the grinding tool replacement strategy;

[0129] Obtain speed change through feed speed Vf adjustment strategy , obtain the depth change through the adjustment strategy of grinding depth d .

[0130] The control execution module includes a parameter execution unit and a state monitoring unit;

[0131] The parameter adjustment unit receives the adjustment strategy output by the grinding strategy optimization module and automatically adjusts the operating parameters of the machine tool, including the feed adjustment speed. , Grinding adjustment depth and grinding tool changes, ensuring that changes in operating parameters comply with adjustment strategies and maintain stability and consistency of the grinding process;

[0132] Among them, feed adjustment speed The amount of speed change Get, grinding adjustment depth By depth variation Get.

[0133] The state monitoring unit monitors the working state of the machine tool after executing the adjustment strategy, including cutting force, temperature, vibration and rotation speed, and feeds the monitored data back to the parameter adjustment unit, which makes adjustments according to the actual situation to ensure the efficient operation of the grinding process;

[0134] Obtain the comprehensive evaluation S of the current state of the machine tool through the state monitoring unit and compare it with the set state threshold ST;

[0135] When the comprehensive evaluation S>state threshold ST, the parameters are adjusted;

[0136] When the comprehensive evaluation S ≤ state threshold ST, the grinding equipment operates normally and no adjustment is made.

[0137] In this embodiment, the impact assessment unit can accurately assess the surface quality, grinding efficiency and tool life by analyzing the relationship between stress changes and the grinding process. This comprehensive assessment ensures a comprehensive understanding of the grinding process and provides a scientific basis for subsequent adjustment strategies.

[0138] Specific adjustment strategies, including feed speed Vf, grinding depth d adjustment and tool change strategy, can achieve targeted and flexible operation optimization. This enables the grinding process to quickly adapt to changes in different materials and environments, improving the accuracy of processing. The parameter adjustment unit of the control execution module can automatically adjust the operating parameters of the machine tool according to the strategy output by the grinding strategy optimization module. This automated process reduces human intervention and improves the stability and consistency of operation.

[0139] The condition monitoring unit continuously monitors the working status of the machine tool after executing the adjustment strategy, and ensures the efficient operation of the grinding process through feedback of cutting force, temperature, vibration, speed and other data. Such real-time monitoring can quickly respond to abnormal situations and ensure the normal operation of the equipment.

[0140] Through targeted adjustment strategies, the system can quickly adapt to different grinding conditions and material properties, improve production flexibility, and meet diverse market demands. Through precise parameter adjustment, the efficient operation of the grinding process is ensured, which significantly improves grinding efficiency and workpiece processing quality and reduces production costs. By optimizing the tool replacement strategy, it ensures that the grinding tool works in the best condition, thereby extending the tool life and reducing maintenance costs. The comprehensive evaluation is a comparison mechanism with the state threshold ST, which ensures the system's intelligent decision-making ability. Adjustments are made only when necessary, reducing unnecessary interventions and further optimizing the production process.

[0141] Example 5: This example is an explanation of Example 4. Please refer to Figure 1 ,Specifically: the result analysis and reporting module includes a result analysis unit and a report generation unit;

[0142] The result analysis unit is responsible for extracting key information from the data collected during the grinding process, including stress distribution , Grinding efficiency And workpiece surface quality Ra, through data analysis, generate statistical information and charts.

[0143] The report generation unit generates the stress distribution obtained by the result analysis unit. , Grinding efficiency Integrate with the workpiece surface quality Ra, fill in the preset report format, and generate a report to inform relevant personnel, including chart reports and conclusion reports.

[0144] In this embodiment, the result analysis unit extracts stress distribution, grinding efficiency and workpiece surface quality Ra from the data collected during the grinding process. This extraction can provide a deep understanding of the actual effect of the grinding process and provide a basis for subsequent process improvements.

[0145] By generating statistical information and charts through data analysis, the result analysis unit can present complex data in an intuitive way, helping relevant personnel to quickly understand the performance of the grinding process and support more effective decision-making. The report generation unit can automatically fill in the analysis results according to the preset format, generate chart reports and conclusion reports. This automated process saves time, ensures the consistency and standardization of reports, and reduces human errors.

[0146] The generated reports can inform relevant personnel in a timely manner, ensuring that all stakeholders can grasp the key data and conclusions of the grinding process, and promote effective communication and collaboration between teams. Through the analysis of stress distribution and grinding efficiency, potential problems in the grinding process can be identified and improvement suggestions can be provided, thereby optimizing the production process and improving overall efficiency.

[0147] By analyzing the surface quality Ra of the workpiece, we can ensure that the processed products meet the quality standards, reduce the defective rate, and improve customer satisfaction. Data collection and report generation provide a basis for subsequent process improvement, help establish a continuous improvement mechanism, and promote continuous improvement of process level. Through the intuitive display of charts and conclusions, management can make more informed decisions based on data, further improving the scientificity and effectiveness of production management.

[0148] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A grinding control system for reducing the stress difference on the workpiece surface, characterized in that: It includes data acquisition module, data preprocessing module, real-time monitoring and feedback module, grinding strategy optimization module, control execution module and result analysis and reporting module; The data acquisition module collects temperature data, vibration data, cutting force data and stress data during the grinding process through sensors, and integrates the temperature data, vibration data, cutting force data and stress data to establish a data set W; The data preprocessing module cleans and standardizes the data set W collected by the data acquisition module to obtain a standardized data set WX; and extracts the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv; The real-time monitoring and feedback module extracts the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv according to the data preprocessing module, monitors the stress changes during the grinding process, and calculates the stress difference value , and provide feedback information Ff; The grinding strategy optimization module dynamically adjusts the grinding parameters including the feed speed Vf and the grinding depth d based on the feedback information Ff provided; Calculate the impact of stress changes on the grinding process and propose adjustment strategies; The control execution module automatically adjusts the operating parameters of the machine tool according to the adjustment strategy output by the grinding strategy optimization module to ensure the stability and consistency of the grinding process; The result analysis and reporting module generates a comprehensive report of the grinding process, including stress distribution, based on the adjusted machine tool operating parameters. , Grinding efficiency And workpiece surface quality Ra.

2. A grinding control system for reducing surface stress difference of a workpiece according to claim 1, characterized in that: The data acquisition module includes a temperature acquisition unit and a force and vibration acquisition unit; The temperature acquisition unit monitors the temperature change during the grinding process in real time through an infrared temperature sensor and collects temperature data of the grinding area; The force and vibration acquisition unit collects vibration data, cutting force data and stress data of the grinding equipment through vibration sensors, cutting force sensors and stress sensors, wherein the vibration data includes mechanical vibration frequency fv, vibration amplitude and vibration energy, the cutting force data includes cutting force fluctuation coefficient Kf and normal cutting force, and the stress data includes stress distribution coefficient Sd, stress value and stress change rate, the temperature data, vibration data, cutting force data and stress data are integrated to establish the data set W.

3. A grinding control system for reducing surface stress difference of a workpiece according to claim 2, characterized in that: The data preprocessing module includes a data cleaning unit, a data standardization unit and a feature extraction unit; The data cleaning unit cleans the data set W collected by the data collection module, including removing noise and detecting outliers, and deleting abnormal data to obtain a cleaned data set WC; The data standardization unit performs standardization processing on the cleaned data set WC to obtain a standardized data set WX; The feature extraction unit performs feature extraction on the standardized data set WX to obtain the cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv.

4. A grinding control system for reducing surface stress difference of a workpiece according to claim 3, characterized in that: The real-time monitoring and feedback module includes a real-time monitoring unit and a feedback adjustment unit; The real-time monitoring unit monitors the stress changes during the grinding process in real time and calculates the stress difference value according to the cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv obtained from the data preprocessing module ; The stress difference value Obtained by the following formula: ； In the formula, represents the stress value at the current moment, represents the stress value at the previous moment; The feedback adjustment unit is based on the stress difference value monitored by the real-time monitoring unit. and stress parameters, wherein the stress parameters include cutting force fluctuation coefficient Kf, stress distribution coefficient Sd, mechanical vibration frequency fv and comprehensive stress difference DS; The comprehensive stress difference DS is obtained by the following formula: DS ; Generate feedback information Ff and guide subsequent grinding strategy adjustments, analyze the current grinding status, and make corresponding adjustment suggestions including changing the feed speed Vf and changing the grinding depth d; The feedback information Ff is obtained by the following formula: Ff ; Where f represents the feedback decision function, which is based on the comprehensive analysis of cutting force fluctuation coefficient Kf, stress distribution coefficient Sd and mechanical vibration frequency fv.

5. A grinding control system for reducing surface stress difference of a workpiece according to claim 4, characterized in that: The grinding strategy optimization module includes a parameter adjustment unit and an impact assessment unit; The parameter adjustment unit is based on the stress difference value provided by the real-time monitoring and feedback module. , dynamically adjust grinding parameters including feed speed Vf and grinding depth d, analyze the impact of stress changes on the grinding process, and calculate new grinding parameters ; The grinding parameters Obtained through the following calculation formula: ； In the formula, It represents the parameters that affect the grinding process, k represents the influence coefficient of stress change on grinding parameters, Represents the stress difference value.

6. A grinding control system for reducing surface stress difference of a workpiece according to claim 5, characterized in that: The impact evaluation unit is responsible for calculating the impact of stress changes on the grinding process, including the evaluation of surface quality, grinding efficiency and tool life, based on stress parameters and grinding parameters. and propose specific adjustment strategies; The adjustment strategy includes the adjustment strategy of feed speed Vf, the adjustment strategy of grinding depth d and the grinding tool replacement strategy; Obtain speed change through feed speed Vf adjustment strategy , obtain the depth change through the adjustment strategy of grinding depth d .

7. A grinding control system for reducing surface stress difference of a workpiece according to claim 6, characterized in that: The control execution module includes a parameter execution unit and a state monitoring unit; The parameter execution unit receives the adjustment strategy output by the grinding strategy optimization module and automatically adjusts the operating parameters of the machine tool, including the feed adjustment speed. , Grinding adjustment depth and grinding tool changes, ensuring that changes in operating parameters comply with adjustment strategies and maintain stability and consistency of the grinding process; Among them, feed adjustment speed The amount of speed change Get, grinding adjustment depth By depth variation Get.

8. A grinding control system for reducing surface stress difference of a workpiece according to claim 7, characterized in that: The state monitoring unit monitors the working state of the machine tool after executing the adjustment strategy, including cutting force, temperature, vibration and rotation speed, and feeds the monitored data back to the parameter adjustment unit, which makes adjustments according to the actual situation to ensure the efficient operation of the grinding process; Obtain the comprehensive evaluation S of the current state of the machine tool through the state monitoring unit and compare it with the set state threshold ST; When the comprehensive evaluation S>state threshold ST, the parameters are adjusted; When the comprehensive evaluation S ≤ state threshold ST, the grinding equipment operates normally and no adjustment is made.

9. A grinding control system for reducing surface stress difference of a workpiece according to claim 1, characterized in that: The result analysis and reporting module includes a result analysis unit and a report generation unit; The result analysis unit is responsible for extracting key information from the data collected during the grinding process, including stress distribution , Grinding efficiency And workpiece surface quality Ra, through data analysis, generate statistical information and charts.

10. A grinding control system for reducing surface stress difference of a workpiece according to claim 9, characterized in that: The report generation unit generates the stress distribution obtained by the result analysis unit. , Grinding efficiency Integrate with the workpiece surface quality Ra, fill in the preset report format, and generate a report to inform relevant personnel, including chart reports and conclusion reports.

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