金刚石车削
材料科学
机械加工
过程(计算)
机械工程
弹道
补偿(心理学)
机床
伺服
表面粗糙度
控制理论(社会学)
计算机科学
工程类
人工智能
物理
控制(管理)
操作系统
天文
复合材料
心理学
精神分析
作者
Kodai Nagayama,Jiwang Yan
标识
DOI:10.1016/j.jmapro.2021.01.015
摘要
Abstract Slow tool servo (STS) turning takes an important role in fabrication of freeform optical elements. However, in conventional STS turning, it is technologically difficult to obtain nanometer-level form accuracy due to multiple error factors such as tool trajectory errors, tool alignment errors and dynamic follow-up errors of machine tools used. In this study, a deterministic process flow was proposed where all the main error factors were comprehensively analyzed, simulated and then compensated before machining based on the feedforward method, and the workpiece form error after compensation was predicted accurately. The proposed process flow enabled achieving nanometer-level form accuracy by a single cut without the necessity of repetitive trial-and-error. To demonstrate the effectiveness of the proposed method, cutting tests of a two-dimensional sine wave grid were attempted on single-crystal silicon and the proposed error compensation was applied. As a result, the form error was reduced to 8 nm P–V (peak to valley) with a surface roughness of 1 nm Sa by a single cut.
科研通智能强力驱动
Strongly Powered by AbleSci AI