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作 者:王慧[1] 张泽文 潘永智[1] 付秀丽[1] WANG Hui;ZHANG Zewen;PAN Yongzhi;FU Xiuli(Mechanical Engineering Department,University of Jinan,Jinan 250022,CHN)
出 处:《制造技术与机床》2020年第9期50-55,共6页Manufacturing Technology & Machine Tool
基 金:国家自然科学基金项目(51675230)。
摘 要:材料流动应力可以表征金属组织的塑性流变行为,实现对变形材料加工性能的定量研究.准确预测轻合金高温变形的流动应力对其加工工艺优化具有重要意义,由于高温变形过程表征复杂,建立能够精确预测高温变形下流动应力的模型一直是该领域的难题.为此主要从宏观、微观角度对唯象型、机理型及神经网络模型进行了综述,主要包括J-C、Arrihenius、L-J和BP-ANN等几种典型的流动应力模型及其改进模型,总结了轻合金高温变形流动应力模型的优缺点,并对其发展趋势进行了展望.The flow stress of materials can characterize the plastic rheological behavior of metal structure,and realize the quantitative study of the processing properties of deformed materials.Accurate prediction of material flow stress in high temperature deformation is of great significance for process optimization.Due to the complex characterization of light alloy high temperature deformation processes,it has been a difficult problem to establish a model that can accurately predict the high temperature deformation flow stress.In this paper,phenomenological,mechanism and neural network models are reviewed from macro and micro perspectives,including several typical flow stress models and their improved models,such as JC,Arrihenius,LJ and BP-ANN.The advantages and disadvantages of flow stress models for light alloys during high temperature deformation are summarized,and the development trend is prospected.
分 类 号:TG337.1[金属学及工艺—金属压力加工]
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