Materials Reports  2022, Vol. 36 Issue (Z1): 21120011-9 |
| METALS AND METAL MATRIX COMPOSITES |
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| Research Progress on Constitutive Model and Hot Processing Map for Metals and Alloys in Hot Deformation |
| CHEN Tiantian, SHI Chenqi, NING Zheda, WEN Ming, GUAN Weiming, GUO Junmei, WANG Chuanjun
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| State Key Laboratory of Advanced Technologies for Comprehensive Utilization of Platinum Metals, Kunming Institute of Precious Metals, Sino Platinum Metals Co., Ltd., Kunming 650106, China |
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Abstract The flow stress behavior of metals and alloys during hot deformation has been widely concerned by scholars. The accurate understanding of material flow stress behavior can not only provide a theoretical basis for the formulation of hot working process, but also control the evolution of material microstructure, which is helpful to optimize the microstructure and properties of metal and alloy materials. However, due to the limitation of time and cost, in order to study the flow stress behavior of metals and alloys, a constitutive model describing the dynamic mechanical behavior of materials can be used. At the same time, in order to study the processability of metals and alloys, a hot processing map which can optimize the fabrication process is established. This paper summarizes the research progress and development of constitutive models and hot processing maps of metals and alloys at home and abroad. The characteristics and development of phenomenological constitutive models and physical-based constitutive models are mainly introduced. The prediction capabilities and applicability of the constitutive models have been concluded based on analyzing and comparing advantages and disadvantages of Johnson-Cook model, Fields-Backofen model, Arrhenius model and Zerilli-Armstrong model. Additionally, the mechanisms of the Raj map based on atomic model and the processing map based on dynamic material model are reviewed in this paper as well as several instability criteria.
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Published: 05 June 2022
Online: 2022-06-08
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| Fund:Major Science and Technology Project of Yunnan Province (202102AB080008, 202102AB080005), and the Innovation Talents Project of Yunnan Province (202005AD160029). |
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