Prediction of microstructure evolution during multi-stand shape rolling of nickel-base superalloys

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• 作者：Kannan Subramanian (1)
  Harish P Cherukuri (2)
  
  1. Stress Engineering Services ; Inc. ; 3314 Richland Ave ; Metairie ; 70002 ; LA ; USA
  2. Department of Mechanical Engineering and Engineering Science ; University of North Carolina at Charlotte ; 9201 University City Blvd ; Charlotte ; 28223 ; NC ; USA
  
• 关键词：Multi ; stand ; Multi ; pass ; Shape rolling ; Microstructure ; Modeling ; Nickel ; base ; Superalloys
• 刊名：Integrating Materials and Manufacturing Innovation
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：3
• 期：1
• 全文大小：2,129 KB
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  2. Subramanian K, Minisandram RS, Cherukuri HP (2007) Mesh re-zoning in multi-stand rolling. In: C茅sar de S谩 JMA (ed)Proceedings of the 9 ^{/ th} international conference on numerical methods in industrial forming processes - NUMIFORM 2007, Porto, Portugal, 17鈥?1 June 2007.. American Institute of Physics (API), College Park.
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• 刊物主题：Metallic Materials; Characterization and Evaluation of Materials; Structural Materials; Surfaces and Interfaces, Thin Films; Nanotechnology;
• 出版者：Springer-Verlag
• ISSN：2193-9772

文摘

In this paper, a comprehensive numerical approach to predict the microstructure of nickel-base superalloys during multi-stand shape rolling is presented. This approach takes into account the severe deformation that occurs during each pass and also the possible reheating between passes. In predicting the grain size at the end of the rolling process, microstructural events such as dynamic recrystallization (DRX), metadynamic recrystallization (MDRX), and static grain growth are captured at every deformation step for superalloys. Empirical relationships between the average grain size from various microstructural processes and the macroscopic variables such as temperature (T) and effective strain ( \(\bar {\varepsilon }\) ) and strain rate ( \(\dot {\bar {\varepsilon }}\) ) form the basis for the current work. These empirical relationships are based on Avrami equations. The macroscopic variables are calculated using a finite element analysis package wherein the material being rolled is modeled as a non-Newtonian fluid with viscosity that depends on the effective strain rate, strain, and temperature. A two-dimensional transient thermal analysis is carried out between passes that can capture the MDRX and/or static grain growth during the microstructural evolution. The presented microstructure prediction algorithm continuously updates two families of grains, namely, the recrystallized family and strained family at the start of deformation in any given pass. In addition, the algorithm calculates various subgroups within these two families at every deformation step within a pass. As the material undergoes deformation between the rolls, recrystallization equations are invoked depending on critical strain and strain rate conditions that are characteristics of superalloys. This approach predicts the microstructural evolution based on recrystallization kinetics and static grain growth only. The methodology was successfully applied to predict the microstructure evolution during the multi-pass rolling of nickel-base superalloys. The predicted results for Alloy 718 for a 4-stand rolling followed by air cooling and for a 16-stand rolling followed by a combination of air and water cooling are also compared with experimental observations.