Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Module Partition Methodology of Heavy Duty Machine Tools for Green Remanufacturing

Authors
Ligang Cai, Weishuo Li, Qiang Cheng, Guangpeng Li, Bingwei Sun
Corresponding Author
Ligang Cai
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.106How to use a DOI?
Keywords
Module Partition, Heavy Duty Machine Tools, Green Remanufacturing.
Abstract

In this paper, in order to improve the green remanufacturing capacity of heavy duty machine tools, the design domain of axiomatic design is taken as the main line and extended it to the regeneration domain innovatively. The design structure matrix is used to consider the correlation and similarity of design parameters between structural domain and regeneration domain. The particle swarm optimization algorithm based on the minimal description length is used to find the ideal modular design method for heavy machine tools.

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 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/fmsmt-17.2017.106
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.106How 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  - Ligang Cai
AU  - Weishuo Li
AU  - Qiang Cheng
AU  - Guangpeng Li
AU  - Bingwei Sun
PY  - 2017/04
DA  - 2017/04
TI  - Module Partition Methodology of Heavy Duty Machine Tools for Green Remanufacturing
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 507
EP  - 514
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.106
DO  - 10.2991/fmsmt-17.2017.106
ID  - Cai2017/04
ER  -