Affiliation:
1. Haldia Institute of Technology, India
Abstract
Due to rapid industrial tech development, demand for advanced hard materials rises, prompting exploration of non-traditional machining like LASER welding. This research focuses on titanium alloy Ti-6Al-4V, analyzing LASER power, welding speed, and focusing distance effects on crown width, fusion zone, and grain size. Artificial neural network models experimental data. Genetic algorithm optimizes multi-objective criteria. Grey relation analysis identifies optimal parametric combinations. Crown width and fusion zone increase with welding power but decrease with welding speed, with minimal impact from focusing distance.