Modular design and optimization for intelligent assembly system

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Abstract

For precision assembly of multiple species and variable batch productions, the existing problems are: assembly accuracy is low, and assembly efficiency is poor. This paper presents module design and optimization approaches for intelligent assembly system, meeting a large variety of assembly requirements. In addition, the connotation and components of the intelligent assembly system are described in detail. Then, based on the general functional integrity of the intelligent assembly system, the principle of module division about assembly system is proposed, and the basic functional modules have been divided. Taking the assembly accuracy, mass, work range, and work time as optimization targets, using genetic algorithm optimization method, we optimized the key modules’ sizes of assembly cell, and obtained the optimal sizes of key modules of the intelligent assembly system. The module design and optimization approaches can provide theoretical guidance and technical support to design the assembly system for precision microstructures.

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Shao, C., Zhang, Z. jing, Ye, X., Zhao, Y. J., & Sun, H. chang. (2018). Modular design and optimization for intelligent assembly system. In Procedia CIRP (Vol. 76, pp. 67–72). Elsevier B.V. https://doi.org/10.1016/j.procir.2018.01.042

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