基于支持向量机的超声强化加工表面性能预测

Surface performance prediction of ultrasonic vibration extrusion process based on support vector machine

在超声振动挤压强化加工中,利用支持向量机的回归原理研究了工艺参数与工件加工表面性能之间的非线性关系。在45号钢超声强化加工正交试验的基础上,选取主轴转速、工具头振幅以及挤压次数3个因素中的最优参数,根据等差原则,在进给速度和挤压力参数各取28组数据基础上,实验测得其表面粗糙度和硬度;将所得数据代入支持向量机模型,建立超声强化加工粗糙度和硬度曲线非线性特性模型和回归函数,并进行实验验证。结果表明:预测数据与原始数据基本吻合,证明此模型可以有效预测加工后零件的表面粗糙度和硬度。

In order to accurately describe the nonlinear characteristics between process parameters and the finished surface properties after ultrasonic strengthening, the optimal parameters of the spindle speed, the tool head amplitude and the number of extrusion were selected in the ultrasonic strengthening process. According to the principle of grade, based on 28 sets of data were obtained of feed velocity and pressure. Surface roughness and hardness data was obtained by experimental measurements. The resulting datas were used into the nonlinear hysteretic model of support vec- tor machines and the roughness and hardness nonlinear characteristic model of ultrasonic strengthening was established. The real data was using to verify the model finally. The results show that the predicted data coincides with the original data. It is proved that the model is feasible for the prediction of the surface roughness and hardness of the parts after ultrasonic machining.