Modular Design and Optimization for Intelligent Assembly System
Chao Shao, Zhijing Zhang, Xin Ye, Yijin Zhao, Hongchang Sun
Abstract
Open-access reader
Chao Shao, Zhijing Zhang, Xin Ye, Yijin Zhao, Hongchang Sun
Abstract
Open-access reader
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.
OpenAlex reports 16 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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.
Key concepts: Modular design, Assembly modelling, Key (lock), Genetic algorithm, Computer science, Control engineering, Systems design, Engineering