4.7 Article

Practical quantification of the effects of flow stress, friction, microstructural properties, and the tribological environment on macro- and micro-structure formation during hot forging

期刊

TRIBOLOGY INTERNATIONAL
卷 164, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.triboint.2021.107226

关键词

Metal flow lines; Friction; Grain size; Dynamic recrystallization

资金

  1. Ministry of Trade, Industry and Energy (MOTIE)
  2. Korea Institute for Advancement of Technology (KIAT) through the International Cooperative RD Program [P0011877]
  3. Ministry of Trade, Industry and Energy (MOTIE) [10081334]
  4. Korea Evaluation Institute of Industrial Technology (KEIT) [P0011877] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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A practical approach to improving the accuracy of finite element predictions in hot forging was presented, highlighting the importance of tribological characterization. The study analyzed the three-stage hot forging of high-strength bearing steel in terms of metal flow lines sensitive to friction, and determined an optimized friction condition through comparison of predicted and experimental flow lines. A phenomenological approach was used to predict grain size after dynamic recrystallization, with an emphasis on the tribological effect, leading to improved predicted metal flow lines and reduced error in predicted grain sizes.
We present a practical approach that improves the accuracy of finite element predictions of hot forging; we emphasize the importance of tribological characterization. We analyze three-stage hot forging of high-strength S45C bearing steel in terms of metal flow lines sensitive to friction. An optimized friction condition is determined by comparing the predicted and experimental flow lines under various conditions. We use a phenomenological approach to predict grain size after dynamic recrystallization when investigating the effects of friction. We explored the relationship between macroscopic and microscopic phenomena with an emphasis on the tribological effect. Friction coefficient optimization improved the predicted metal flow lines and also reduced the error between predicted and measured grain sizes after dynamic recrystallization at all sample points.

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