【摘要】 针对钛合金材料在加工过程中受铣削力影响易于产生变形而影响加工效果,属难加工材料,为了保证加工质量,提高生产效率及降低加工成本,其切削加工参数的合理选择非常关键;对钛合金铣削加工进行有限元数值计算,结合试验设计方法构建了基于支持向量机的切削力预测模型,提出了一种基于支持向量机和遗传算法的优化方法,对钛合金铣削工艺参数进行了优化;结果表明,该方法准确、高效、可行,为钛合金加工工艺参数优化提供一种新的思路,具有良好的推广价值。更多还原

【Abstract】 Titanium alloys are w idely used in various fields,the processing quality of this materials w ill be affected by the milling force. In order to guarantee the machining quality,improve production efficiency and reduce cost,the cutting parameters of the titanium alloy are reasonable selected,w hich plays an important role. In this paper,the Titanium Alloy milling process is analyzed by finite element method,a milling force prediction model w as established based on Support Vector M achine( SVM),The design methodology based on( SVM) and genetic optimization( GA) is proposed for Titanium Alloy milling process parameters. The results show that this methodology is feasible and highly effective,and thus can be used in the machining process parameters optimum and other material processing fields.更多还原