An improved gray wolf optimizer for minimizing drilling deformation and residual stress in AA2024 sheet

Abstract

Abstract Aiming at the problem of large deformation and residual stress after drilling of aircraft skin Aluminum Alloy 2024 (AA2024) sheet, an Improved Gray Wolf Optimizer (IGWO) is proposed to optimize its fixture layout to make the deformation and residual stress smaller. A layout coding scheme is designed to obtain the maximum deformation and residual stress under different fixture layouts. Then a kriging prediction model is developed with a prediction error of 3.7% for deformation and 2.2% for residual stress. The model is integrated with the IGWO to provide a comprehensive set of optimal solutions. The specific improvements of IGWO included initializing the population with good point set to increase population diversity, incorporation of Lévy flight to prevent local optimum, adjustable distance control parameter tuning for balance the global and local searches, and optimizing the population by non-dominated sort and crowding distance. Ultimately, experimental studies and algorithmic comparisons are carried out to verify the efficacy of both the proposed model and the algorithm.