Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering

Guiding Disassembly Sequence Planning Based on Improved Fruit Fly Optimization Algorithm

Authors
Jue Qu, Wei Wang, Kemeng Bai, Dongdong Jin
Corresponding Author
Jue Qu
Available Online October 2015.
DOI
https://doi.org/10.2991/icadme-15.2015.38How to use a DOI?
Keywords
Disassembly Sequence Planning;Augmented Reality;Disassembly Hybrid Hierarchical Graph;Fruit Fly Optimization Algorithm
Abstract
How to improve the efficiency of guiding disassembly sequence is the main research contents of augmented reality maintenance. To furnish the disassembly sequence to the system efficiently, assembly disassembly hybrid hierarchical graph model is established based on interference matrix between the assembly parts. The assembly’s disassembly mathematical model is build and a newly fruit fly optimization algorithm combined with genetic algorithm is used to solve the best path. Finally, an example based on augmented reality guiding system is analyzed in detail to show that the method is appropriate and efficient, the method has offered guidance to the research of augmented reality disassembly guiding system.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2015
ISBN
978-94-6252-113-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/icadme-15.2015.38How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jue Qu
AU  - Wei Wang
AU  - Kemeng Bai
AU  - Dongdong Jin
PY  - 2015/10
DA  - 2015/10
TI  - Guiding Disassembly Sequence Planning Based on Improved Fruit Fly Optimization Algorithm
BT  - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
PB  - Atlantis Press
SP  - 188
EP  - 194
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-15.2015.38
DO  - https://doi.org/10.2991/icadme-15.2015.38
ID  - Qu2015/10
ER  -