2013 Fiscal Year Final Research Report
"Self-optimization" of volumetric accuracy of five-axis machine tools by vision-based measurement
| Project/Area Number |
23560122
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Production engineering/Processing studies
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| Research Institution | Kyoto University |
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Principal Investigator |
IBARAKI Soichi 京都大学, 工学(系)研究科(研究院), 准教授 (80335190)
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| Project Period (FY) |
2011 – 2013
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| Keywords | 工作機械 / 運動精度 / 測定 / 画像 / 補正 |
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| Research Abstract |
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.
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