| Project/Area Number |
26870774
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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 |
Social systems engineering/Safety system
Design engineering/Machine functional elements/Tribology
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| Research Institution | Tokyo University of Science, Yamaguchi |
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Principal Investigator |
Otsuka Akimasa 山陽小野田市立山口東京理科大学, 工学部, 講師 (90611848)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 公差設計 / 幾何公差 / 品質管理 / 工程能力指数 / CAE / 公差 / 平行度 / 大量生産 / 最適化 / 性能設計 |
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| Outline of Final Research Achievements |
For a simple product model, normal random numbers were generated within specified conventional-tolerance as machining error. A thousand pieces of product were simulatively generated, and product performance of those were respectively calculated using the finite element method software. Frequency distributions about product performance were calculated. Those processes were repeated by changing the values of statistical tolerance index. Comparing the calculation results, effectiveness of statistical tolerance index was confirmed. Furthremore, design method of statistical tolerance index was also developed, which was consisting of the Monte-Carlo simulation and the real-coded genetic algorithm. The effectiveness of the method was confirmed through case studies using a virtual product.
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