"Self-optimization" of volumetric accuracy of five-axis machine tools by vision-based measurement

点击翻译按钮获取中文摘要

Machine tools with two rotary axes to control the orientation of a tool or a workpiece are collectively called five-axis machine tools. They play a key role in process integration for higher manufacturing efficiency. The objective of this research is to develop a methodology to "self-optimize" the motion accuracy of five-axis machine tools, where motion errors of five-axis machines, as well as errors in the machine setup, are measured by the machine itself and then compensated for. A vision-based measurement system for linear axis motions errors, and the R-test measurement system for rotary axis motion errors, were developed. A software to diagnose error causes, and then to numerically compensate for them, was developed.