| Issue |
E3S Web Conf.
Volume 648, 2025
International Conference on Civil, Environmental and Applied Sciences (ICCEAS 2025)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 10 | |
| Section | Civil Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202564801016 | |
| Published online | 08 September 2025 | |
Modeling and Analysis of Dissimilar Laser Welding Using FEM: A Case Study on Inconel 718 and SS321
1 Department of Mechanical Engineering, Gandhi Institute of Engineering and Technology University, Odisha, India
2 Department of Mechanical Engineering, Sri Venkateswara Institute of Technology, Anantapuramu, Andhra Pradesh, India
* Corresponding author: prasad_murri@yahoo.com
This work provides an extensive finite element analysis (FEA) of laser welding of dissimilar metals AISI 321 stainless steel and Inconel 718 to analyze the thermal characteristics and temperature field under transient conditions. A 3D butt joint configuration was modelled using ANSYS 19®. The temperature-dependent material properties from 25 °C to 1500 °C were considered during simulation. A double-ellipsoidal heat source was simulated with 80% efficiency and a laser power of 1200 W. Thermal cycles and heat flow were examined at different time intervals, revealing peak temperatures ranging from 1813 °C to 1854 °C during welding. Transverse temperature profiles indicated HAZ peak temperatures of 1182 °C for Inconel 718 and 1005 °C for SS321 at 45 seconds. Sectional analysis further revealed interface temperatures of 1501 °C on the Inconel side and 1252 °C on the SS321 side. Experimental results confirmed asymmetric heat transfer due to differences in thermal conductivity. Inconel retained heat longer, resulting in a thinner HAZ, while SS321 cooled faster with wider heat spread.
Key words: FE Analysis / Thermal fields / Cooling cycle / Sustainable model / dissimilar welds
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

