Optimization of Activated Tungsten Inert Gas Welding Process Parameters Using Heat Transfer Search Algorithm: With Experimental Validation Using Case Studies

The Activated Tungsten Inert Gas welding (A-TIG) technique is characterized by its capability to impart enhanced penetration in single pass welding. Weld bead shape achieved A-TIG has a major part deciding the final quality of weld. Various machining variables influence weld and hence an optimum combination utmost importance. current study reported optimization integrating Response Surface Methodology (RSM) with innovative Heat Transfer Search (HTS) algorithm, particularly for attaining full 6 mm thick carbon steels. Welding current, length arc torch travel speed were selected as input process parameters, whereas depth, depth-to-width ratio, heat width heat-affected zone considered output investigations. Using experimental data, statistical models generated response characteristics. Four different case studies, simulating real-time fabrication problem, was carried out using HTS. Validation tests also these studies 3D surface plots confirm effectiveness HTS algorithm. It found that algorithm effectively optimized parameters negligible errors observed when predicted values compared. parameter-less it easy implement higher effectiveness.