Computational Analysis of Gas Arc Welding on Aluminum

I successfully conducted a computational analysis of the gas arc welding process on aluminum, significantly reducing project costs by eliminating the need for extensive personnel training, equipment expenses, and trial-based experimentation. This simulation-driven approach saved thousands of dollars from the project budget while ensuring accurate and reliable results.

To model the welding process, I implemented Goldak's heat source model equations to create a moving heat source, simulating the thermal behavior of the weld pool. The simulation was executed using High-Performance Computing (HPC) with FORTRAN, ensuring precise and accelerated calculations.

Key Outcomes of This Study:

• Accurate prediction of temperature distribution and heat transfer in aluminum welding
• Verification of the computational model against published experimental studies
• Optimized experimental setup based on simulation data, improving efficiency and reducing trial-and-error

By leveraging computational modeling, this research provided a cost-effective and high-fidelity solution for understanding and optimizing gas arc welding processes, contributing to improved methodology and process efficiency.