Abstract
To obtain the optimal processing parameters of ultrasonic roll extrusion, 42CrMo bearing steel was taken as the research object, and the orthogonal test method was used to design an ultrasonic roll extrusion experiment with spindle speed, feed speed, static pressure and amplitude as parameters. Based on the orthogonal test data, the prediction models of surface roughness, surface residual stress and surface hardness were established by a multiple regression method, and the reliability of the model was verified. An algorithm combining SPEA2 and the shift density estimation strategy (SPEA2SDE) was introduced. The performance of the SPEA2SDE algorithm, NSGA II algorithm and SPEA2 algorithm is tested and compared on a three-dimensional test function set to verify its effectiveness. The SPEA2SDE algorithm are used to solve the multi-objective optimization model to obtain the optimal combination of processing parameters, and the ultrasonic roll extrusion experiment is carried out. The research results show that the surface roughness, surface residual stress and surface hardness optimized by the SPEA2SDE algorithm are in good agreement with the experimental values, and the average error is controlled within 10%, which shows that the algorithm can achieve high precision. It can effectively solve the multi-objective optimization problem of ultrasonic roll extrusion process parameters and can be used to guide actual production machining.
Highlights
To obtain the optimal processing parameters of ultrasonic roll extrusion, 42CrMo bearing steel was taken as the research object, and the orthogonal test method was used to design an ultrasonic roll extrusion experiment with spindle speed, feed speed, static pressure and amplitude as parameters
To obtain better surface properties of 42CrMo steel and balance the relationship among surface roughness, surface residual stress and hardness, the ultrasonic roll extrusion process parameters were optimized by orthogonal testing, regression analysis and the SPEA2SDE algorithm
The results are summarized as follows: 1. Based on the orthogonal experiment, a multiple regression model of surface roughness, surface residual stress and hardness was established by the multiple regression method, and the significance of the model was tested by variance analysis
Summary
To obtain the optimal processing parameters of ultrasonic roll extrusion, 42CrMo bearing steel was taken as the research object, and the orthogonal test method was used to design an ultrasonic roll extrusion experiment with spindle speed, feed speed, static pressure and amplitude as parameters. In order to study the relationship between the process parameters of the ultrasonic rolling bearing ring and the performance of the surface layer, the number of neurons in the input layer is set to 4 (workpiece speed, feed speed, amplitude, static pressure), and the number of neurons in the output layer is 3 (surface roughness, residual stress, hardness).
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