机械加工
材料科学
振动
运动学
调制(音乐)
机械工程
旋转(数学)
转速
曲面(拓扑)
质量(理念)
方位(导航)
电压
计算机科学
声学
工程类
物理
几何学
数学
人工智能
电气工程
经典力学
量子力学
作者
Bingrui Lv,Bin Lin,Jinshuo Zhang,Chunyan Liu,Longfei Wang,Tianyi Sui
标识
DOI:10.1088/2631-7990/ad7076
摘要
Abstract The remarkable advances in ultra-precision machining technology have forced a re-examination of the effect of spindle perpendicularity errors on the milled surface quality at the micro-nano scale. In this paper, a method of spindle precision adjustment is proposed to improve the surface finish quality. The sensitive errors in the machining process are identified based on the multi-body kinematic theory by taking the milling process as an example. A 2-DOF rotation platform is designed, optimized, and fabricated. The static model of the platform is established based on the elastic beam theory and verified by finite element analysis. The structural parameters are optimized via the response surface method combined with the Pareto front. The experimental results reveal the effects of spindle speed, voltage amplitude, vibration frequency, cutting depth, and feed rate on the platform’s modulation performance. The static modulation experiment shows that the perpendicularity error between the spindle and the guideway can be reduced from 92.5 μrad to 0.25 μrad. Lastly, milling experiments show that the surface quality can be improved by 37.6% after spindle modulation.
科研通智能强力驱动
Strongly Powered by AbleSci AI