基于切削动力学及其不确定特性的数控机床结构参数分析优化

黄华,张树有,何再兴,裘乐淼

振动与冲击 ›› 2016, Vol. 35 ›› Issue (18) : 82-90.

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振动与冲击 ›› 2016, Vol. 35 ›› Issue (18) : 82-90.
论文

基于切削动力学及其不确定特性的数控机床结构参数分析优化

  • 黄华,张树有,何再兴,裘乐淼
作者信息 +

Parameters Analysis and Optimization for Machine Tool Structure Design Based on the Cutting Dynamics with Uncertainty

  • HUANG Hua, ZHANG Shu-you,HE zai-xing,QIU Le-miao
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摘要

针对传统数控机床结构设计中较少考虑切削动力学及其不确定特性的问题,提出了基于切削动力学约束和不确定因素的影响,根据目标切削深度对结构进行优化设计的方法。分析切削动力学特性,根据颤振频率分布和整机模态实验确定限制切深的关键部件,以其外部轮廓壁厚和内部筋板壁厚为对象,进行参数灵敏度分析以确定设计参数。将最小临界切削深度与目标切削深度的差值转化为结构动柔度的修改量,在质量、静刚度等条件的约束下,通过对局部结构的修改,在保持质量基本不变的情况下,满足了生产率要求的目标切削深度,并以一台数控加工中心的结构优化设计为例进行了验证。

Abstract

A method for machine tool design parameters optimization is presented to obtain the desirable cutting depth in the milling process, with the constraints of cutting stability and its uncertainty, which is rarely considered in the traditional design. According to the chatter frequency distribution and the modal test experiment, the key component of the machine tool which determines the minimal cutting depth is located. Targeting at the thickness of external contour and the internal rib of the component, the sensitive design parameters to be modified is selected according to sensitivity analysis. The difference between the desirable cutting depth and actual cutting depth is converted to structural dynamic flexibility modification. With the minimum local structural modification, The desirable cutting depth is obtained to meet the material removal rate (MRR) under the constraint of static stiffness and weight. The method is verified in the optimization design of a CNC machining center.

关键词

切削动力学 / 不确定性 / 动柔度 / 最小临界切深

Key words

cutting dynamics / uncertainty / dynamic compliance / critical limit cutting depth

引用本文

导出引用
黄华,张树有,何再兴,裘乐淼. 基于切削动力学及其不确定特性的数控机床结构参数分析优化[J]. 振动与冲击, 2016, 35(18): 82-90
HUANG Hua, ZHANG Shu-you,HE zai-xing,QIU Le-miao. Parameters Analysis and Optimization for Machine Tool Structure Design Based on the Cutting Dynamics with Uncertainty[J]. Journal of Vibration and Shock, 2016, 35(18): 82-90

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