A flexible fixture system with integrated position optimization for large thin-walled component assembly

Abstract

In the demanding sectors of shipbuilding and aerospace, the assembly of large thin-walled components is a pivotal process, challenged by the need to minimize part deformation and assembly gaps. This study introduces an innovative flexible fixture system designed to enhance assembly accuracy by optimizing fixture layouts using the Tabu Search Algorithm (TSA). The proposed system not only adapts to various shapes and sizes but also demonstrates a significant reduction in assembly gaps through computational modeling and a case study involving two thin plates. The findings indicate that the optimized fixture layouts achieved through TSA substantially minimize assembly gaps and deformation under gravitational forces, suggesting a potential for substantial cost savings and efficiency improvements in manufacturing processes. Future research will explore scalability and real-world application in diverse manufacturing environments, aiming to refine fixture adaptability and further reduce setup times.