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首页> 外文期刊>International Journal of Machine Tools & Manufacture: Design, research and application >Predictive modelling of microstructure changes, micro-hardness and residual stress in machining of 304 austenitic stainless steel
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Predictive modelling of microstructure changes, micro-hardness and residual stress in machining of 304 austenitic stainless steel

机译:304奥氏体不锈钢加工过程中微观结构变化,微硬度和残余应力的预测建模

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摘要

The machined surface integrity plays a critical role in the corrosion resistance and fatigue property of austenitic stainless steels. This work develops an analytical model for prediction of microstructural changes, micro-hardness and residual stress in machining of 304 austenitic stainless steel. The distributions of stress, strain and temperature are first modelled by building up a multi-physics framework of orthogonal cutting process. Then, the martensitic transformation is modelled based on strain-induced martensitic transformation kinetics. The micro-hardness variation is subsequently predicted by a model which accounts for both dislocation density and phase transformation evolution processes. Finally, the residual stress is derived from a relaxation procedure. Experimental tests are conducted for the model validation. The predicted results in terms of cutting force, martensite fraction, micro-hardness, and residual stress are in good agreement with the measured data.
机译:加工表面完整性在奥氏体不锈钢的耐腐蚀性和疲劳性质中起着重要作用。 该工作开发了一种分析模型,用于预测304奥氏体不锈钢加工中的微观结构变化,微硬度和残余应力。 首先通过构建正交切割过程的多物理框架来建模应力,应变和温度的分布。 然后,基于应变诱导的马氏体转化动力学建模马氏体转化。 随后通过考虑位错密度和相变进化过程的模型来预测微硬度变化。 最后,残留应力源自松弛程序。 进行模型验证进行实验测试。 预测结果在切割力,马氏体分数,微硬度和残余应力方面与测量数据吻合良好。

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