摘要
针对淬硬钢在铣削加工过程中易发生颤振的问题,建立了淬硬钢铣削过程稳定性预测模型,得到铣削过程稳定性极限曲线图,并同步预测表面动态加工误差,以此作为铣削加工工艺参数优化的约束条件,以主轴转速、每齿进给量、轴向切深工艺参数为设计变量,以最大材料去除率和表面粗糙度为目标函数,进行淬硬钢铣削加工工艺参数优化,并进行铣削实验对比分析,结果表明该方法可以降低铣削过程振动幅值,提高加工效率.
Aiming at the fluttering of hardened steel milling process, the milling stability prediction model is established to obtain the milling stability lobes. Considering dynamic surface machining error as a milling process parameter optimization constraint and taking spindle speed, feed rate per tooth and axial depth of cut process parameters as design variables, the maximum material removal rate and surface roughness of the objec-tive function, the optimization of the milling process parameters for hardened steel are theoretical analyzed and verified by milling experiments. The experimental results show that this method can reduce the vibration ampli-tude of the milling process and improve processing efficiency.
出处
《大连交通大学学报》
CAS
2016年第6期26-30,共5页
Journal of Dalian Jiaotong University
基金
国家自然科学基金重点项目(51235003)
关键词
淬硬钢
铣削稳定性
工艺参数优化
hardened steel
milling stability
process parameters optimization