2023 Fiscal Year Final Research Report
Precise identification of friction coefficient and real-time detection and prediction of seizure in cold forging
| Project/Area Number |
21K04721
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 26050:Material processing and microstructure control-related
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| Research Institution | Shizuoka University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | 冷間鍛造 / 潤滑 / 摩擦係数 / ピエゾ素子 |
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| Outline of Final Research Achievements |
In the evaluation of lubrication in cold forging, the dependence of lubrication characteristics on processing speed was evaluated. A reasonable coefficient of friction was identified using calibration curves based on a precise material model, and it was clarified that the coefficient of friction at high speed is smaller than that at low speed.
Next, a piezoelectric sensor installed in a bolt was used to detect and predict changes in lubrication conditions in real time. As a result, it was shown that the elastic deformation of the outer diameter dimension of the die occurred in response to the contact between the specimen and the die and the filling state, and that this deformation could be detected by the change in output of the bolt-type piezoelectric sensor.
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| Free Research Field |
塑性加工学
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| Academic Significance and Societal Importance of the Research Achievements |
冷間鍛造における摩擦係数の加工速度依存性の定量的評価およびそのメカニズムを明らかにできたが，このことは，潤滑剤の開発において，トライボシミュレーターが考慮すべき事柄を明確にし，また実際の潤滑剤の利用において，速度依存性の考慮に合理的な判断を与えた．
また，ピエゾ素子における摩擦係数のリアルタイム測定の可能性を明らかにしたが，このことは，今後のより高精度なトライボシミュレーターの設計や潤滑特性評価に資するものである．また，この技術は，実加工中の不具合の検出にも応用可能である．
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