| Abstract |
Environmentally friendly welding solutions is increasingly demanded by automotive, naval and aerospace sectors for sustainability, effectiveness and safety. Friction Stir Welding (FSW) (Fig.1) is attractive for joining large scale, heat-sensitive metals and high-strength materials as it minimizes component deformation and creates flawless welds. Additionally, FSW is eco-friendly, producing no fumes or requiring consumables. For sustaining weld quality, real-time monitoring of FSW parameters and feedback control systems are crucial. However, optimizing FSW parameters for different materials and thicknesses is challenging, often relying on time-consuming trial-and-error experiments. This compels the industry to narrow down the scope of testing environments or to use virtual experiments built on FSW computational models. However, computational modeling of FSW typically results in excessive simulation times. To meet the needs of the industries and accurately account for process design and weld quality we develop and put into practice appropriate computer modeling tool in a High Performance Computing (HPC) environment seeking to address this difficulty, unprecedentedly. This innovation promises significant improvements for industries by facilitating the optimization of equipment and processes used in fabrication. This innovation have profound social, economic, and environmental impacts by improving production, reducing time and costs associated with parameter optimization. It will enhance competitiveness in industrial sectors, fostering economic growth and job creation. Moreover, by enabling precise control over FSW processes, the platform will contribute to the production of safer and more reliable metal components, enhancing product quality and safety standards. Furthermore, by promoting the use of an eco-friendly welding method like FSW, the project aligns with sustainability goals, minimizing environmental impact and contributing to a greener manufacturing industry. |
