Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Graph Theory Solution Method to Solve The Complex Assembly Dimension Chain

Authors
Ya Zhang, Lin Zhang
Corresponding Author
Ya Zhang
Available Online December 2017.
DOI
10.2991/mcei-17.2017.140How to use a DOI?
Keywords
Dimension chain; Transferring coefficient; Matrix; Graph theory model
Abstract

Dimension chain analysis very important to assure the assembly quality of the engineering machines. If the engineering machine component has a lot of parts, the representation and solution of the assembly dimension chain is too difficult by general dimension chain analysis method. Based on the graph theory model, a method is proposed to solve the dimension chains of the complex assembly of engineering machines components. At last, an assembly practice of a roller holler is analyzed to validate the method.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
10.2991/mcei-17.2017.140How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ya Zhang
AU  - Lin Zhang
PY  - 2017/12
DA  - 2017/12
TI  - Graph Theory Solution Method to Solve The Complex Assembly Dimension Chain
BT  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 661
EP  - 664
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.140
DO  - 10.2991/mcei-17.2017.140
ID  - Zhang2017/12
ER  -