Smart Friction Stir Welding: Intelligent Parameter Tuning via Spiking Neural Networks

Smart Friction Stir Welding: Intelligent Parameter Tuning via Spiking Neural Networks explores the integration of friction stir welding, intelligent parameter optimization, and spiking neural networks for advanced manufacturing analysis. The book introduces the fundamentals of friction stir welding and examines how process parameters can influence welding behavior, material interaction, joint characteristics, and manufacturing performance. It presents concepts in artificial intelligence, neural computation, machine learning, and data-driven process optimization, with particular attention to the use of spiking neural networks for intelligent parameter tuning. The discussion connects welding process variables with computational modeling and predictive analysis, providing a technical perspective on how intelligent methods can support systematic parameter assessment and optimization. Topics include friction stir welding principles, process parameters, material behavior, neural network concepts, model development, data analysis, and optimization approaches. The book is intended for students, researchers, welding engineers, manufacturing engineers, materials scientists, and professionals interested in intelligent manufacturing, advanced welding technologies, computational methods, and AI-assisted process optimization.