Modular Design and Optimization for Intelligent Assembly System
| Autor: | Hong-chang Sun, Chao Shao, Yi-Jin Zhao, Xin Ye, Zhijing Zhang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science Control engineering 02 engineering and technology Modular design Division (mathematics) Multiple species Variable (computer science) Work time Range (mathematics) Functional integrity 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Key (cryptography) General Earth and Planetary Sciences business General Environmental Science |
| Zdroj: | Procedia CIRP. 76:67-72 |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2018.01.042 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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