FSW Quality of Inconel 718: Numerical Modeling and Fuzzy Logic-Based Temperature Control Approach
Friction stir welding (FSW) is a revolutionary technique for joining high-strength materials, offering superior mechanical properties compared to traditional fusion welding methods. However, achieving optimal surface quality in FSW of Inconel 718 is challenging due to the material's sensitivity to temperature variations. This study leverages the advanced capabilities of COMSOL for numerical modeling and analysis to refine the FSW process for Inconel 718. Comprehensive numerical simulations in COMSOL generate a robust dataset, identifying critical process parameters such as rotational speed, transverse speed, and axial force. This dataset is then employed in MATLAB for system identification, resulting in a precise and reliable model of the FSW process dynamics. Building on this model, a fuzzy logic controller (FLC) is designed to dynamically adjust welding parameters in real-time, ensuring consistent temperature control. This innovative approach mitigates temperature fluctuations, reducing surface defects like roughness and voids. Validation through rigorous simulations underscores the FLC's efficacy in maintaining optimal temperature conditions, significantly enhancing weld integrity and surface quality. The seamless integration of numerical modeling, system identification, and fuzzy logic control exemplifies a sophisticated approach to advancing FSW technology for Inconel 718.
Keywords: Friction stir welding, Inconel 718, COMSOL Numerical modeling, Fuzzy logic control, Temperature control.
