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Numerical simulation and experimental study of vacuum arc remelting (VAR) process for large-size GH4742 superalloy

Authors :
Shulei Yang
Qiang Tian
Ping Yu
Shufeng Yang
Wei Liu
Jingshe Li
Source :
Journal of Materials Research and Technology, Vol 24, Iss , Pp 2828-2838 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Numerical modeling and industrial experiment were used to study the entire vacuum arc remelting (VAR) process of 660 mm GH4742 superalloy. In order to calculate the electromagnetic field, flow field, temperature field, and melt pool shape change throughout the entire VAR process, a 2D axisymmetric model with coupled multi-physical fields matching industry trials was constructed. The microstructure and elemental distribution conditions in the large-size GH4742 ingot were analyzed in combination with the industrial ingot dissection experiment, and the most likely locations of freckle defects were predicted. According to the research, the melt pool has two clockwise flow fields that are affected by buoyancy and Lorentz forces. The melt pool depth deepens gradually as melting proceeds, with a maximum melt pool depth of 0.32 m and a paste zone width of 0.16 m. Although the ingot's elemental distribution is largely consistent, there is microsegregation between the dendrites. Where the freckle is most likely to appear, at (0.322, 0.075), the Rayleigh has a great value of 1.1. For melt pool form and dendritic spacing throughout the entire melting process, the results of the industrial ingot dissection experiment and the simulation results show good agreement, proving the accuracy of the thermal history and solidification microstructure calculation for the entire melting process. Furthermore, the prospect of combining numerical simulation with a special material database for accurate defect prediction is proposed.

Details

Language :
English
ISSN :
22387854
Volume :
24
Issue :
2828-2838
Database :
Directory of Open Access Journals
Journal :
Journal of Materials Research and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.969b2adc53ee4628bb03355f8f131132
Document Type :
article
Full Text :
https://doi.org/10.1016/j.jmrt.2023.03.185