一种基于多步回溯算法的铣削稳定性预测方法

在加工过程中,由于薄壁件的弱刚性易发生加工颤振,从而对工件表面质量和刀具寿命等造成不良的影响,对铣削过程的稳定性进行预测是至关重要的.通过提出一种多步回溯算法来预测铣削过程的稳定性,将铣削过程离散化成时滞周期方程,在每个时间间隔上采用多步回溯的方法来近似时间周期及时滞项.通过构建状态转移矩阵,根据Floquet理论获得...

A prediction method of milling stability based on multi-step backtracking algorithm

In process of machining,due to weak rigidity of thin-walled parts,machining chatter is easy to occur,it has adverse effects on surface quality of workpiece and tool life,so it is very important to predict the stability of milling process.Here,a multi-step backtracking algorithm was proposed to predict the stability of milling process.A milling process was discretized into time-delay periodic equations.A multi-step backtracking method was used to approximate time-period and time-delay term in each time interval.By constructing the state transition matrix,milling stability boundary parameters were obtained according to Floquet theory.Finally,the computational accuracy and convergence rate of the algorithm were verified through simulation comparison of actual examples.Results showed that the multi-step backtracking algorithm has characteristics of fast convergence and high computation accuracy;especially,it has good application prospects in stability prediction of low-speed milling.