铣削加工颤振稳定性可靠度的计算方法

铣削过程中的系统参数往往具有随机性,严重影响了铣削加工的稳定性.利用BP神经网络综合分析了随机因素对铣削加工过程的影响,提出了一种铣削加工再生型颤振稳定性可靠度计算方法.建立铣削加工再生型颤振动力学模型,使用全离散法获取铣削稳定性叶瓣图.利用神经网络拟合极限轴向切深的函数表达式,再分别使用蒙特卡罗法和一次二阶矩法进行可靠度计算.结果表明,基于BP神经网络的方法兼具高效和精确的优点.

On the Calculation Method for the Reliability of Chatter Stability in CNC Milling

The system parameters in the process of milling generally have randomness， which influences the stability of milling. The neural network was used to make a comprehensive analysis of the effects of random factors in milling， and a method for the reliability analysis of regenerative chatter stability in milling was proposed. A dynamic model for regenerative chatters of milling was established， and the stability lobe diagram was obtained by means of full discretization.The neural network was applied to approximate the functional relationship of the limit axial cutting depth，and the reliability was then calculated with the Monte Carlo method and first order second moment method， respectively. Finally， the results of an example were used to demonstrate the efficiency and accuracy of the proposed method based on the neural network.