锻压技术

基于多目标FAST算法的超声滚挤压工艺参数优化

英文标题：Process parameters optimization for ultrasonic rolling extrusion based on multi-objective FAST algorithm

作者：徐诗博王晓强田英健王彪石青松

分类号：TG376.1

出版年,卷(期):页码：2025,50(4):69-76

摘要：

摘要：为提升轴承套圈的表层性能，以42CrMo高强度钢为研究对象，开展4因素5水平正交试验，基于正交试验数据建立表层性能的指数回归预测模型，并利用方差分析验证了模型的可靠性。通过多目标FAST算法对指数回归预测模型进行优化，得到超声滚挤压的最优工艺参数范围及其表层性能的最优取值范围，并进行了试验验证。结果表明：当迭代次数达到900时，表层性能随迭代次数的增加无明显改善，优化后42CrMo高强度钢表层性能的试验值与预测值的误差均控制在10%以内，转速最优为140~210 r·min-1、进给速度为12~20 mm·min-1、振幅为20~25 μm、静压力为450~600 N；表面粗糙度最优为0.43~0.49 μm、残余压应力为950~1050 MPa、硬度为700~720 HV。研究内容对实际的工程应用具有一定的指导意义。

Abstract: In order to improve the surface performance of bearing rings, for 42CrMo high-strength steel, a four-factor and five-level orthogonal test was conducted, and an exponential regression prediction model of surface performance was established based on the orthogonal test data. Then, the reliability of the model was verified by variance analysis. Furthermore, the exponential regression prediction model was optimized by the multi-objective FAST algorithm, the optimal process parameters range of ultrasonic rolling extrusion and the optimal value range of its surface performance were obtained, and the reliability was verified by tests. The results show that when the number of iteration times reaches 900, there is no significant improvement in the performance with the increasing of iteration times. The errors between the test and predicted values of the surface performance for 42CrMo high-strength steel after optimization are controlled within 10%. The optimal rotation speed is 140-210 r·min-1, the feeding speed is 12-20 mm·min-1, the amplitude is 20-25 μm, and the static pressure is 450-600 N. The optimal surface roughness is 0.43-0.49 μm, the residual compressive stress is 950-1050 MPa, and the hardness is 700-720 HV, which has certain guiding significance for practical engineering applications.

基金项目：

基金项目:国家自然科学基金资助项目（U1804145）；国家重点研发计划（2018YFB2000405,2022YFC2805702）

作者简介：徐诗博（1997-），男，硕士研究生

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