4.7 Article

Modeling of microstructure evolution coupled with molten pool oscillation during electron beam welding of an Al-Cu alloy

Journal

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2022.122735

Keywords

Electron beam welding; Numerical simulation; Molten pool dynamics; Microstructure evolution; Physical mechanism; Chemical concentration

Funding

  1. China Scholarship Council
  2. Ministry of Education, Singapore [MOE-T2EP50120-0012]

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This study adopts a multi-physics modeling framework to simulate the microstructure evolution during electron beam welding (EBW). The molten pool model, dynamic heat source model, and grain growth process consider the effects of temperature and chemical concentration. A method to track the second phase and an algorithm to identify complex weld shapes are proposed. The effects of process parameters on grain morphology, grain size, segregation, and second phase are quantified based on simulated results, which are compared to experimental observations.
The physical understanding of electron beam welding (EBW) and prediction of the weld microstructure are valuable but challenging. In this work, a multi-physics modeling framework is adopted to simulate the microstructure evolution during the EBW process. A molten pool model incorporating multiple driving forces and a dynamic heat source model provides the temperature field as the input for the microstructure simulation. Both the temperature and chemical concentration are considered in the grain growth process. Additionally, an efficient method is adopted to track the second phase in the solidification process, and a practical algorithm is proposed to identify the complex weld shapes. The mechanism of microstructure evolution under the effect of molten pool oscillation is elaborated. Based on the simulated results, the effects of the process parameters on the grain morphology, grain size, segregation and second phase are quantified. These predicted results are compared to experimental observations and measurements. This study could be helpful for both understanding microstructure evolution and optimizing the actual welding process to tailor the microstructure.(c) 2022 Elsevier Ltd. All rights reserved.

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