2017 Fiscal Year Final Research Report
"Self-optimization" of a five-axis machine tool with adaptation to thermal conditions in machining operations
Project/Area Number |
15K05721
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Production engineering/Processing studies
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Research Institution | Hiroshima University (2016-2017) Kyoto University (2015) |
Principal Investigator |
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Keywords | 工作機械 / 5軸工作機械 / 切削 / 幾何誤差 / 運動精度 / 熱変形 |
Outline of Final Research Achievements |
Motion accuracy of a machine tool can be significantly influenced by thermal deformation or the "aging." The objective of this project is to propose a "self-optimization" methodology for a machine tool, such that it can periodically calibrate its own motion errors and then compensate for them in a fully automated manner. The machine's motion errors are calibrated in exactly the same thermal conditions as in actual machining processes. To this "self-optimization" method, the project proposed the application of a non-contact laser barrier tool measurement system, which is widely accepted in the manufacturing industry.
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Free Research Field |
工作機械
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