2017 Fiscal Year Final Research Report
Development of the intelligent grinding system that can predict the stock removal of the workpiece without using a sizing gauge
| Project/Area Number |
15K17951
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Production engineering/Processing studies
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| Research Institution | Okayama University |
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Principal Investigator |
ONISHI Takashi 岡山大学, 自然科学研究科, 助教 (90630830)
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| Research Collaborator |
SAKAKURA Moriaki
OHASHI Kazuhito
TAKASHIMA Teppei
NISHI Kuya
OKANOUE Takuo
SAKAMOTO Koichi
FUJIWARA Kohei
NAKABAYASHI Yusuke
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | 円筒研削 / 内面研削 / 長尺工作物 / 寸法精度 / 熱変形 / 知能化 / 研削抵抗 / 研削盤 |
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| Outline of Final Research Achievements |
The purpose of this study is to develop the intelligent grinding system that can control the grinding machine by predicting the stock removal of the workpiece without using a sizing gauge. In this system, thermal deformation and residual stock removal is simulated during grinding process. As a result of this study, the size error of the ground workpiece was reduced less than 0.5 micro meters even though 2 or 3 micrometers thermal deformation occurred. The residual stock removal due to the elastic deformation of the workpiece system was predicted with 1 micro meter accuracy. Furthermore, the new grinding methods were developed to improve the shape accuracy for traverse grinding of the slender workpiece and internal grinding by a slender grinding wheel.
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| Free Research Field |
研削
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