A hardness prediction model considering grain size effect for ferrite steel

被引:0
作者
Sun, Wenbo [1 ]
Jin, Junsong [1 ]
Wang, Xin-Yun [1 ]
机构
[1] State Key Laboratory of Material Processing and Die and Mould Technology, Huazhong University of Science and Technology, Wuhan City
基金
中国国家自然科学基金;
关键词
Cold forging; Effective strain; Grain size effect; Hardness prediction model; Vickers hardness;
D O I
10.1504/IJMMP.2015.072920
中图分类号
学科分类号
摘要
Hardness is frequently used as an index to evaluate the mechanical properties of manufactured parts. Prediction of hardness distribution is beneficial to the optimisation of process parameters. For polycrystalline materials, the grain size has significant influence on hardness. In this paper, a hardness prediction model for ferrite steel was established by taking the grain size effect into consideration. The influence of grain size and effective strain on the hardness evolution during cold forming processes was investigated based on both experiments and simulations. The results proved that initial hardness, hardness coefficient and hardening exponent are all significantly affected by the grain size, i.e., they all decrease with the increase in grain size. The model proposed was validated to be capable of predicting the hardness distribution in cold forgings with different initial grain sizes. © 2015 Inderscience Enterprises Ltd.
引用
收藏
页码:259 / 273
页数:14
相关论文
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