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Determination of Microstructure-Based Constitutive Models Using Temperature Rise Distribution in Plane Strain Machining

机译:平面应变加工中利用温升分布确定基于微观结构的本构模型

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Predicting flow stress at high strain-rates is a desirable practice for material behavior characterization. Sub-grain size has shown a huge influence in cutting forces and the workpiece surface finish determination during orthogonal cutting process. Hence, a prediction of flow stress as a function of fhermome-chanical conditions and sub-grain size is of great important which is studied in this work for OFHC copper. The principal thermomechanical conditions being strain, strain-rate and the accompanying temperature rise are characterized in Plane Strain Machining (PSM) and the resulting microstructure, sub-grain size, is quantified. Material maximum flow stress (a constitutive model) as a function of thermomechanical conditions and sub-grain size is predicted considering a saturated state in microstructure using optimization algorithms for reaching the validated temperature rise based on modified Hahn's model. Evaluated models suggest a major influence of strain-rate and dislocation in temperature rise estimation and flow stress prediction leading to consideration of mechanical failure phenomenon involved in machining-based manufacturing processes.
机译:预测高应变率下的流应力是表征材料行为的一种理想方法。在正交切削过程中,亚晶粒尺寸在切削力和确定工件表面光洁度方面显示出巨大的影响。因此,预测流应力作为铁素体力学条件和亚晶粒尺寸的函数非常重要,在这项工作中对OFHC铜进行了研究。在平面应变加工(PSM)中表征了应变,应变速率和伴随的温度升高等主要热力学条件,并对所得的微观结构(亚晶粒尺寸)进行了定量。考虑到微结构中的饱和状态,使用了基于改进的Hahn模型的经过验证的温升优化算法,预测了材料最大流动应力(本构模型)与热机械条件和亚晶粒尺寸的关系。评估模型表明,应变速率和位错在温升估算和流应力预测中有重大影响,从而导致考虑了基于加工的制造过程中涉及的机械故障现象。

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