"Self-optimization" of volumetric accuracy of five-axis machine tools by vision-based measurement
Project/Area Number |
23560122
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Production engineering/Processing studies
|
Research Institution | Kyoto University |
Principal Investigator |
IBARAKI Soichi 京都大学, 工学(系)研究科(研究院), 准教授 (80335190)
|
Project Period (FY) |
2011 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2011: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
|
Keywords | 工作機械 / 運動精度 / 測定 / 画像 / 補正 / 自己最適化 / 5軸加工機 / 画像認識 / R-test |
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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Report
(4 results)
Research Products
(16 results)