Study at Controlling Grain Refinement and Distribution Uniformity in Electric Upsetting Process of Large-scale Valve

doi:10.3901/JME.2022.16.121

Abstract

Abstract: A method for controlling grain refinement and uniform distribution in electric upsetting process is proposed. Firstly, the grain refinement domains are identified from the hot processing map of Ni80A superalloy, and then the parameters loading paths in electric upsetting process are preliminarily designed. The double objectives control functions of grain size and inhomogeneous degree of grain distribution are developed, and the electrical-thermal-mechanical multi-filed and deformation-grain multi-scale coupling finite element model in the electric upsetting of Ni80A superalloy is established. Additionally, the decision variables loading schemes with different levels of clamping length, anvil astern speed, upsetting cylinder speed and heating current are simulated, and the relationships between grain size, inhomogeneous degree of grain distribution and decision variables are constructed. The optimal compromise solution for the interaction between four decision variables and double objectives is solved based on NSGA-Ⅱ genetic algorithm. The simulated results of optimal compromise solution show that grain size and inhomogeneous degree of grain distribution are 29.95 μm and 6.52 μm, compared with before optimization, they are decreased 10.86% and 14.90%, respectively. Finally, the trial-produce experiment for the electric upsetting of medium-size valve and microstructure characterization are carried out. The average relative errors of grain size in axial, radial and 45 degree directions between simulated values and experimental ones are 4.41%, 1.39% and 5.68%, respectively. The results also verify the validity of the proposed method. This method will provide a basic approach for controlling grain refinement and uniform distribution in the electric upsetting process of large-scale valves.

Key words: electric upsetting, grain size, inhomogeneous distribution, double objectives optimization, NSGA-Ⅱ, finite element simulation

CLC Number:

TK426
TG306

QUAN Guozheng, ZHANG Yuqing, ZHAO Jiang, YU Yanze. Study at Controlling Grain Refinement and Distribution Uniformity in Electric Upsetting Process of Large-scale Valve[J]. Journal of Mechanical Engineering, 2022, 58(16): 121-133.

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