Centerless grinding method for optimizing rotating torque based on machining parameters

Abstract

The invention discloses a centerless grinding method for optimizing rotating torque based on machining parameters, and belongs to the technical field of machining. The method specifically comprises the following steps that S1, machining parameters are selected and initially set; s2, establishing a rotation torque optimization model; s3, optimizing and adjusting parameters; s4, performing real-time monitoring and feedback control; and S5, result evaluation and optimization improvement. According to the centerless grinding method for directly optimizing the rotating torque of the bearing by controlling machining parameters, the bearing has optimized rotating torque performance in a high-rotating-speed interval and a low-rotating-speed interval, so that the performance of the bearing is improved, and the service life of the bearing is prolonged; and a sensor is used for monitoring the machining data and the rotating torque in real time in combination with the preset rotating torque range, and when the detected rotating torque deviates from the preset rotating torque range, machining parameters are automatically adjusted according to the calculation result of the optimization model so as to achieve the optimization target.

Description

Technical Field

[0001] The invention relates to the technical field of mechanical processing, and in particular to a centerless grinding method for optimizing rotational torque based on processing parameters. Background Art

[0002] Centerless grinding is an efficient grinding method widely used in high-precision machining of cylindrical parts, such as bearings. The torque of a bearing is one of the key factors affecting its operating performance and service life. Traditional centerless grinding methods usually use fixed machining parameters without considering the possibility of adjusting parameters in real time to optimize the torque. Since the optimization of the torque is closely related to factors such as the contact surface quality and friction coefficient of the bearing, it is necessary to develop an optimization method based on real-time machining parameter adjustment to further improve the quality and machining efficiency of the bearing. Summary of the invention

[0003] Purpose of the invention: The purpose of the present invention is to provide a centerless grinding method for optimizing the rotational torque based on processing parameters; it can solve the problem that the traditional centerless grinding method usually adopts fixed processing parameters without considering the possibility of adjusting the parameters in real time to optimize the rotational torque.

[0004] Technical solution: To solve the above technical problems, according to one aspect of the present invention, more specifically, a centerless grinding system for optimizing rotational torque based on machining parameters includes: a parameter setting unit, a data acquisition unit, a network transmission unit, a core processing unit, and a display adjustment unit;

[0005] Parameter setting unit: used to set various grinding parameters required during the operation of the centerless grinding system;

[0006] Data acquisition unit: used to collect various grinding data required during the operation of the centerless grinding system;

[0007] Network transmission unit: used to transmit the parameters set by the parameter setting unit and the data collected by the data acquisition unit to the core processing unit, and transmit the data collected by the data acquisition unit, the analysis and processing results of the core processing unit and the issued adjustment instructions to the display adjustment unit;

[0008] Core processing unit: used to receive the parameters set by the parameter setting unit and the data collected by the data collection unit, analyze and process the received parameters and data, and issue corresponding adjustment instructions according to the analysis and processing results;

[0009] Display adjustment unit: used to obtain the data collected by the data collection unit, analyze and process the results of the analysis and processing unit, and issue adjustment instructions.

[0010] Furthermore, the parameter setting unit includes: a workpiece speed setting module, a guide wheel speed setting module, a grinding pressure setting module, a grinding time setting module, an oilstone oscillation frequency setting module and a threshold setting module;

[0011] Workpiece speed setting module: used to set the speed of the workpiece during processing;

[0012] Guide wheel speed setting module: used to set the speed of the guide wheel during processing;

[0013] Grinding pressure setting module: used to set the grinding pressure during the processing;

[0014] Grinding time setting module: used to set the grinding time during the processing;

[0015] Oilstone oscillation frequency setting module: used to set the oilstone oscillation frequency during processing;

[0016] Threshold setting module: used to set the threshold range of the torque during the processing.

[0017] Furthermore, the data acquisition module includes a workpiece speed acquisition module, a guide wheel speed acquisition module, a grinding pressure acquisition module, a grinding time acquisition module, an oilstone oscillation frequency acquisition module and a rotational torque acquisition module;

[0018] Workpiece speed acquisition module: used to collect the speed of the workpiece during processing;

[0019] Guide wheel speed collection module: used to collect the speed of the guide wheel during processing;

[0020] Grinding pressure collection module: used to collect grinding pressure during processing;

[0021] Grinding time collection module: used to collect the grinding time during the processing;

[0022] Oilstone oscillation frequency acquisition module: used to collect the oilstone oscillation frequency during the processing;

[0023] Torque acquisition module: used to collect the torque during the processing.

[0024] Furthermore, the core processing unit includes: a data receiving module, an analysis and processing module, and an instruction issuing module;

[0025] Data receiving module: used to receive the parameters set by the parameter setting unit and the data collected by the data collection unit;

[0026] Analysis and processing module: used to analyze and process the parameters and data received by the data receiving module;

[0027] Instruction issuing module: used to issue instructions according to the analysis and processing results of the analysis and processing module to automatically adjust the processing parameters to achieve the optimization goal.

[0028] Furthermore, the display adjustment unit includes: a data acquisition module, a data display module and a parameter adjustment module;

[0029] Data acquisition module: used to acquire the data collected by the data acquisition unit, the analysis and processing results of the analysis and processing unit, and the adjustment instructions issued;

[0030] Data display module: used to display the data collected by the data acquisition unit and the analysis and processing results of the analysis and processing unit obtained by the data acquisition module.

[0031] Furthermore, the analysis and processing module obtains the initial torques Mhigh and Mlow through initial parameter calculation during analysis and processing, and gradually adjusts each processing parameter so that the calculation result tends to the desired optimization target. During the grinding process, sensors are used to monitor the processing parameters and torque in real time. If the detected torque deviates from the set value range, the processing parameters are automatically adjusted according to the calculation results of the optimization model to achieve the optimization target.

[0032] According to another aspect of the present invention, the present invention provides a centerless grinding method based on machining parameter optimization torque, the method is implemented based on the above-mentioned centerless grinding system based on machining parameter optimization torque, and specifically comprises the following steps:

[0033] S1. Selection and initial setting of processing parameters;

[0034] S2, establishing a torque optimization model;

[0035] S3, parameter optimization and adjustment;

[0036] S4, real-time monitoring and feedback control;

[0037] S5. Result evaluation and optimization and improvement.

[0038] Furthermore, in the step S1, when selecting the processing parameters, the initial settings of the parameters are: the workpiece speed is 40 Hz, the guide wheel speed is 25 Hz, the grinding pressure is 0.3 MPa, the grinding time is 30 seconds, and the oilstone oscillation frequency is 30 Hz.

[0039] Furthermore, in S2, the steps of establishing the torque optimization model are:

[0040] (1) Determine all experimental parameters and experimental ranges: For each parameter range, conduct a full factorial experimental design, select multiple parameter combinations, conduct multiple tests for each combination, and measure the corresponding torque (Mhigh and Mlow) in the high speed range and low speed range;

[0041] (2) Data preprocessing: The collected experimental data usually have a certain amount of noise. All data are preprocessed using a standardized method, all parameters are normalized to the [0,1] interval to eliminate the influence of different dimensions, the linear and nonlinear relationships of the data are checked, outliers are identified and these data are removed or corrected;

[0042] (3) Establishment of multiple linear regression model: Based on the processed experimental data, multiple linear regression analysis is used to establish the relationship model between processing parameters and torque. The form of the multiple linear regression model is as follows:

[0043] M high =β 0,high +β 1,high S+β 2,high ·D+β 3,high P+β 4,high ·T+β 5,high ·F

[0044] M low =β 0,low +β 1,low S+β 2,low ·D+β 3,low P+β 4,low ·T+β 5,low ·F

[0045] in:

[0046] M high and M low They represent the torque in the high speed range and the low speed range respectively; S, D, P, T, and F represent the workpiece speed, guide wheel speed, grinding pressure, grinding time, and oilstone oscillation frequency respectively; β 0,high , β 1, high, ..., β 5,high , β 0,low , ..., β 5,low are the coefficients of the regression model, which need to be determined through experimental data;

[0047] (4) Calculation of regression coefficient: Substitute the experimental data into the above regression model and use the least squares method (Ordinary Least Squares, OLS) to solve the regression coefficient.

[0048] Through the above steps, we can get the specific regression coefficient:

[0049] M high =-0.025·S+0.1·D-0.3·P+0.05·T+0.15·F+1.5

[0050] M low =0.02·S-0.08·D+0.25·P-0.04·T-0.1·F+1.2.

[0051] Furthermore, in S3, the method for parameter optimization and adjustment is to obtain initial torques Mhigh and Mlow through initial parameter calculation; and gradually adjust each processing parameter so that the calculation result tends to the desired optimization target.

[0052] Beneficial effects: The centerless grinding method directly optimizes the bearing torque by manipulating the processing parameters, so that the bearing has optimized torque performance in both high-speed and low-speed ranges, thereby improving the performance and service life of the bearing. In addition, during the grinding process, the sensor is used to monitor the processing data and torque in real time in combination with the preset torque range. When the detected torque deviates from the preset torque range, the processing parameters are automatically adjusted according to the calculation results of the optimization model to achieve the optimization goal. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the system principle;

[0054] Figure 2 is a schematic diagram of the method flow chart. DETAILED DESCRIPTION

[0055] In order to make the technical solution of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0056] Example 1

[0057] 1. Selection and initial setting of processing parameters

[0058] 1.1. According to the design requirements of the bearing and the expected torque range, set the initial range of each processing parameter. Set the workpiece speed to 40Hz, the guide wheel speed to 25Hz, the grinding pressure to 0.3MPa, the grinding time to 30 seconds, and the oilstone oscillation frequency to 30Hz.

[0059] 1.2. Input the set value into the CNC system of the grinding machine and prepare to start the grinding process.

[0060] 2. Establish a torque optimization model

[0061] 2.1. Determine all experimental parameters and experimental ranges, and conduct full factorial experimental design for each parameter range. Select multiple parameter combinations, conduct multiple tests for each combination, and measure the corresponding torque (Mhigh and Mlow) in the high speed range and low speed range;

[0062] 2.2. Data preprocessing. The collected experimental data usually have some noise. Use standardization methods to preprocess all data, normalize all parameters to the [0,1] interval to eliminate the influence of different dimensions, check the linear and nonlinear relationship of the data, identify outliers and remove or correct these data;

[0063] 2.3. Multiple linear regression model establishment, based on the processed experimental data, multiple linear regression analysis is used to establish the relationship model between processing parameters and rotation torque. The multiple linear regression model is as follows:

[0064] M high =β 0,high +β 1,high S+β 2,high ·D+β 3,high P+β 4,high ·T+β 5,high ·F

[0065] M low =β 0,low +β 1,low S+β 2,low ·D+β 3,low P+β 4,low ·T+β 5,low ·F

[0066] in:

[0067] M high and M low They represent the torque in the high speed range and the low speed range respectively; S, D, P, T, and F represent the workpiece speed, guide wheel speed, grinding pressure, grinding time, and oilstone oscillation frequency respectively; β 0,high , β 1,high , ..., β 5,high , β 0,low , ..., β 5,low are the coefficients of the regression model, which need to be determined through experimental data;

[0068] 2.4. Calculation of regression coefficients: Substitute the experimental data into the above regression model and use the least squares method (Ordinary Least Squares, OLS) to solve the regression coefficients.

[0069] Through the above steps, we can get the specific regression coefficient:

[0070] M high =-0.025·S+0.1·D-0.3·P+0.05·T+0.15·F+1.5

[0071] M low =0.02·S-0.08·D+0.25·P-0.04·T-0.1·F+1.2.

[0072] 3. Parameter optimization and adjustment

[0073] 3.1. Calculate the initial parameters to obtain the initial torque

[0074] Mhigh and Mlow

[0075] 3.2. Gradually adjust the processing parameters so that the calculation results tend to the desired optimization target. For example, to reduce Mhigh, the workpiece speed S and grinding pressure P can be reduced, while the grinding time T and oilstone oscillation frequency F can be increased.

[0076] 4. Real-time monitoring and feedback control

[0077] 4.1. During the grinding process, sensors are used to monitor the processing parameters and torque in real time.

[0078] 4.2. If the detected torque deviates from the set value range, the processing parameters are automatically adjusted according to the calculation results of the optimization model to achieve the optimization goal.

[0079] 5. Result evaluation and optimization and improvement

[0080] 5.1. After grinding, the bearings are inspected for quality, including evaluation of the torque and surface quality.

[0081] 5.2. According to the test results, adjust and optimize the model and processing parameter settings to further improve the processing effect.

[0082] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A centerless grinding system for optimizing rotational torque based on machining parameters, characterized in that: include: Parameter setting unit, data acquisition unit, network transmission unit, core processing unit and display adjustment unit; Parameter setting unit: used to set various grinding parameters required during the operation of the centerless grinding system; Data acquisition unit: used to collect various grinding data required during the operation of the centerless grinding system; Network transmission unit: used to transmit the parameters set by the parameter setting unit and the data collected by the data acquisition unit to the core processing unit, and transmit the data collected by the data acquisition unit, the analysis and processing results of the core processing unit and the issued adjustment instructions to the display adjustment unit; Core processing unit: used to receive the parameters set by the parameter setting unit and the data collected by the data collection unit, analyze and process the received parameters and data, and issue corresponding adjustment instructions according to the analysis and processing results; Display adjustment unit: used to obtain the data collected by the data collection unit, analyze and process the results of the analysis and processing unit, and issue adjustment instructions.

2. A centerless grinding system for optimizing rotational torque based on machining parameters according to claim 1, characterized in that: The parameter setting unit includes: a workpiece speed setting module, a guide wheel speed setting module, a grinding pressure setting module, a grinding time setting module, an oilstone oscillation frequency setting module and a threshold setting module; Workpiece speed setting module: used to set the speed of the workpiece during processing; Guide wheel speed setting module: used to set the speed of the guide wheel during processing; Grinding pressure setting module: used to set the grinding pressure during the processing; Grinding time setting module: used to set the grinding time during the processing; Oilstone oscillation frequency setting module: used to set the oilstone oscillation frequency during processing; Threshold setting module: used to set the threshold range of the torque during the processing.

3. A centerless grinding system for optimizing rotational torque based on machining parameters according to claim 2, characterized in that: The data acquisition module includes a workpiece speed acquisition module, a guide wheel speed acquisition module, a grinding pressure acquisition module, a grinding time acquisition module, an oilstone oscillation frequency acquisition module and a rotational torque acquisition module; Workpiece speed acquisition module: used to collect the speed of the workpiece during processing; Guide wheel speed collection module: used to collect the speed of the guide wheel during processing; Grinding pressure collection module: used to collect grinding pressure during processing; Grinding time collection module: used to collect the grinding time during the processing; Oilstone oscillation frequency acquisition module: used to collect the oilstone oscillation frequency during the processing; Torque acquisition module: used to collect the torque during the processing.

4. A centerless grinding system for optimizing rotational torque based on machining parameters according to claim 3, characterized in that: The core processing unit includes: a data receiving module, an analysis and processing module, and an instruction issuing module; Data receiving module: used to receive the parameters set by the parameter setting unit and the data collected by the data collection unit; Analysis and processing module: used to analyze and process the parameters and data received by the data receiving module; Instruction issuing module: used to issue instructions according to the analysis and processing results of the analysis and processing module to automatically adjust the processing parameters to achieve the optimization goal.

5. A centerless grinding system for optimizing rotational torque based on machining parameters according to claim 4, characterized in that: The display adjustment unit includes: a data acquisition module, a data display module and a parameter adjustment module; Data acquisition module: used to acquire the data collected by the data acquisition unit, the analysis and processing results of the analysis and processing unit, and the adjustment instructions issued; Data display module: used to display the data collected by the data acquisition unit and the analysis and processing results of the analysis and processing unit obtained by the data acquisition module; Parameter adjustment module: used to adjust the processing parameters according to the adjustment instructions issued by the analysis and processing unit.

6. A centerless grinding system for optimizing rotational torque based on machining parameters according to claim 5, characterized in that: The analysis and processing module obtains the initial torques Mhigh and Mlow through initial parameter calculation during analysis and processing, and gradually adjusts each processing parameter so that the calculation result tends to the desired optimization target. During the grinding process, sensors are used to monitor the processing parameters and torque in real time. If the detected torque deviates from the set value range, the processing parameters are automatically adjusted according to the calculation results of the optimization model to achieve the optimization target.

7. A centerless grinding method for optimizing rotational torque based on machining parameters, characterized in that: A centerless grinding system based on machining parameter optimization of rotational torque according to any one of claims 1 to 6 is implemented, specifically comprising the following steps: S1. Selection and initial setting of processing parameters; S2, establishing a torque optimization model; S3, parameter optimization and adjustment; S4, real-time monitoring and feedback control; S5. Result evaluation and optimization and improvement.

8. The centerless grinding method based on machining parameter optimization of rotational torque according to claim 7, characterized in that: In step S1, when selecting the processing parameters, the initial settings of the parameters are: the workpiece speed is 40 Hz, the guide wheel speed is 25 Hz, the grinding pressure is 0.3 MPa, the grinding time is 30 seconds, and the oilstone oscillation frequency is 30 Hz.

9. The centerless grinding method based on machining parameter optimization of rotational torque according to claim 7, characterized in that: In S2, the steps for establishing the torque optimization model are: (1) Determine all experimental parameters and experimental ranges: For each parameter range, conduct a full factorial experimental design, select multiple parameter combinations, conduct multiple tests for each combination, and measure the corresponding torque (Mhigh and Mlow) in the high speed range and low speed range; (2) Data preprocessing: The collected experimental data usually have a certain amount of noise. All data are preprocessed using a standardized method, all parameters are normalized to the [0,1] interval to eliminate the influence of different dimensions, the linear and nonlinear relationships of the data are checked, outliers are identified and these data are removed or corrected; (3) Establishment of multiple linear regression model: Based on the processed experimental data, multiple linear regression analysis is used to establish the relationship model between processing parameters and torque. The form of the multiple linear regression model is as follows: M high =b 0,high +b 1,high ·S+β 2,high· D+β 3,high· P+β 4,high· T+β 5,high ·F M low =b 0,low +b 1,low ·S+β 2,low ·D+β 3,low ·P+β 4,low ·T+β 5,low ·F in: M high and M low Respectively represent the rotational torque in the high speed range and the low speed range; S, D, P, T, and F represent workpiece speed, guide wheel speed, grinding pressure, grinding time, and oilstone oscillation frequency, respectively; β 0,high , β 1,high , ..., β 5,high , β 0,low , ..., β 5,low are the coefficients of the regression model, which need to be determined through experimental data; (4) Calculation of regression coefficient: Substitute the experimental data into the above regression model and use the least squares method (Ordinary Least Squares, OLS) to solve the regression coefficient. Through the above steps, we can get the specific regression coefficient: M high =-0.025·S+0.1·D-0.3·P+0.05·T+0.15·F+1.5 M low =0.02·S-0.08·D+0.25·P-0.04·T-0.1·F+1.2。 10. The centerless grinding method based on machining parameter optimization of rotational torque according to claim 7, characterized in that: In S3, the method for parameter optimization and adjustment is to obtain initial torques Mhigh and MLow through initial parameter calculation; and gradually adjust each processing parameter so that the calculation result tends to the desired optimization target.

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