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This study presents a finite element method (FEM) analysis to predict the thermal behavior during the dissimilar welding of P92 steel and AISI304L stainless steel. The analysis employs a transient thermal model that accounts for the heat input from the welding process, material properties, and boundary conditions. By simulating the thermal cycles, the temperature distribution, peak temperatures across the weld joint are evaluated. Results indicate significant variations in thermal gradients between the two materials, impacting microstructural evolution and mechanical properties. This study aims to provide insights for optimizing welding parameters to achieve better thermal control, reduce the risk of defects, and enhance the overall performance of welded joints in critical applications.

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Thermal Prediction in Dissimilar Joining of P92 and AISI304L Steel Weld: FEM Analysis

  • 会议论文

  • 发表日期：

    2026年

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  • Pavan Meena,
  • Rehan Khan,
  • Ashutosh Gupta,
  • Sarim Khan,
  • Nagmani Upadhyay,
  • Ramkishor Anant,
  • Sanjay Srivastava,
  • Ramesh Nayak

摘要

This study presents a finite element method (FEM) analysis to predict the thermal behavior during the dissimilar welding of P92 steel and AISI304L stainless steel. The analysis employs a transient thermal model that accounts for the heat input from the welding process, material properties, and boundary conditions. By simulating the thermal cycles, the temperature distribution, peak temperatures across the weld joint are evaluated. Results indicate significant variations in thermal gradients between the two materials, impacting microstructural evolution and mechanical properties. This study aims to provide insights for optimizing welding parameters to achieve better thermal control, reduce the risk of defects, and enhance the overall performance of welded joints in critical applications.