Issue |
MATEC Web Conf.
Volume 237, 2018
2018 3rd International Conference on Design, Mechanical and Material Engineering (D2ME 2018)
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Article Number | 03005 | |
Number of page(s) | 7 | |
Section | Chapter 3: Design Engineering | |
DOI | https://doi.org/10.1051/matecconf/201823703005 | |
Published online | 26 November 2018 |
Research Method of Assembly Sequence Planning Based on Assembly Constraint Relationship Analysis
1 School of Mechanical Engineering, Southeast University, Nanjing 211189, China
2 Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
3 Wuxi vocational college of science and technology, Wuxi 214028, China
a Corresponding author: seu169307@163.com
In order to effectively reduce the human-computer interaction (HCI) workload before the assembly process simulation in the digital assembly environment, and to enhance the intelligence of assembly sequence planning, we introduce the assembly constraint relationship into the automatic generation of assembly sequences and propose a practical assembly sequence planning method for intelligent assembly. Firstly, starting from the assembly geometry model, an assembly model liaison graph is constructed by combining the analysis of assembly constraint relationship and the definition of disassembly direction rules. Then, according to the liaison graph, disassembly priority constraint matrix based on constraint relationship is constructed, and the automatic generation and dynamic update of the disassembly priority diagram can be realized by the definition of disassembly doubly linked list. According to the diagram, the rationality of the disassembly sequence is determined through the interference check analysis, and then the assembly sequence is automatically generated from the reversed disassembly sequence. Finally, the method in the text is verified by an example case study.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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