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

机译:平面应变加工温度升高分布测定基于微观结构的本构型模型

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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 thermomechanical 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:预测高应变率的流量应力是用于材料行为表征的理想实践。亚粒尺寸为在正交切削过程中的切割力和工件表面光洁度确定方面具有巨大影响。因此,作为热机械条件和亚粒尺寸的函数的流动应力的预测具有很大的重要,这在OFHC铜的这种工作中研究了这一点。定量,在平面应变机械加工(PSM)中的特征是应变,应变率和伴随温度升高的主要热机械条件。材料最大流量应力(组成型模型)作为热机械条件和子晶粒尺寸的函数,考虑了微观结构中的饱和状态,使用优化算法基于修改的HAHN模型来达到验证的温度升高。评估模型表明应变率和脱位在温度升高和流量应力预测中的主要影响,导致考虑基于机械加工的制造过程的机械故障现象。

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