锻压技术

基于NSDBO算法的超声振动挤压工艺参数优化

英文标题：Optimization on ultrasonic vibration extrusion process parameters based on NSDBO algorithm

作者：贾海利孙锐

单位：天津职业技术师范大学

分类号：TG376.1

出版年,卷(期):页码：2024,49(6):134-140

摘要：

为获得表面硬度和残余应力的最优组合，采用超声振动挤压工艺对304不锈钢工件进行正交实验，获取了加工数据；利用PSO-SVR算法和线性回归方法分别建立了表面硬度和残余应力的预测模型；采用NSDBO算法对加工参数（主轴转速、进给速度、超声功率及静挤压量）进行了多目标优化设计；最后，对求解获得的工艺参数组合进行实验并验证了其有效性。结果表明，主轴转速为115~347 r·min-1、进给速度为0.056~0.130 mm·r-1、静挤压量为49.8~71.7 μm、超声功率为20.155~32.206 W时，可获得表面硬度和残余应力之间的最佳平衡，此时残余应力为-373.175~-487.436 MPa、表面硬度为10.837~15.689 HRS。上述方法不仅可获得最优加工参数组合、提升表面性能和寿命，同时可以缩短实验周期、降低成本，提高加工效率，也为超声振动挤压加工技术在航空航天及其他工业领域中的应用提供了理论基础和实验支持。

In order to obtain the optimal combination of surface hardness and residual stress, the orthogonal experiment of 304 stainless steel workpiece was carried out by ultrasonic vibration extrusion process to obtain the processing data, and the prediction models of surface hardness and residual stress were established respectively by PSO-SVR algorithm and linear regression method. Then, the multi-objective optimization design on the processing parameters of spindle speed, feeding speed, ultrasonic power and static extrusion amount was conducted by NSDBO algorithm. Finally, the validity of the process parameters combination obtained from the solution was experimentally verified. The results show that the optimal balance between surface hardness and residual stress is obtained as the residual stress range of -373.175--487.436 MPa and the hardness range of 10.837-15.689 HRS when the spindle speed is 115-347 r·min-1, the feeding speed is 0.056-0.130 mm·r-1, the static extrusion amount is 49.8-71.7 μm and the ultrasonic power is 20.155-32.206 W. These methods can not only obtain the optimal combination of processing parameters, improve the surface properties and life, but also shorten the experimental period, reduce the cost, improve the machining efficiency, and also provide the theoretical basis and experimental support for the application of ultrasonic vibration extrusion processing technology in aerospace and other industrial fields.

基金项目：

2021年天津市新一代人工智能科技重大专项（21ZXJBGX00020）

作者简介：贾海利（1979-），女，博士，副教授，硕士生导师,E-mail：highly0811@163.com;通信作者：孙锐（1999-），男，硕士研究生,E-mail：sl2692492580@outlook.com

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