Innovative process monitoring by utilizing multi-axis integrated cutting force estimation based on state-fused disturbance observer
| Project/Area Number |
15H03904
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Production engineering/Processing studies
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| Research Institution | Keio University |
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Principal Investigator |
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| Research Collaborator |
YAMADA Yuki
KOIKE Ryo
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥16,510,000 (Direct Cost: ¥12,700,000、Indirect Cost: ¥3,810,000)
Fiscal Year 2017: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2016: ¥7,670,000 (Direct Cost: ¥5,900,000、Indirect Cost: ¥1,770,000)
Fiscal Year 2015: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
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| Keywords | プロセス監視 / 切削力推定 / 工作機械 / センサレス技術 / オブザーバ / 知能化 |
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| Outline of Final Research Achievements |
In order to implement process monitoring in major machine tools with ball-screw driven mechanism, a novel cutting force estimation technology with state-fused disturbance observer based on multi-inertia model was proposed. It is experimentally clear that highly accurate process monitoring has been conducted by integrating all cutting forces estimated from each axis. In this study, tool wear and fracture detection techniques, and chatter detection technique are developed with estimated cutting force.
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Report
(4 results)
Research Products
(20 results)
