Changhui Liu , Ke Jin , Yixi Zhao , Xiaojia Liu , Jianzhi Sun , Xin Li , Qirong Tang
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引用次数: 0
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.
期刊介绍:
The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.