International Journal of Computational Intelligence Systems

Volume 4, Issue 3, May 2011, Pages 402 - 409

Quantitative Optimization of Workpiece-fixture System's Clamping Forces

Authors
Lu Jiping, Zhang Faping, Zuo Jianhua, Qian Hanbo, Ma Ning
Corresponding Author
Lu Jiping
Received 25 February 2011, Accepted 18 April 2011, Available Online 1 May 2011.
DOI
10.2991/ijcis.2011.4.3.15How to use a DOI?
Keywords
workpiece-fixture, system stability, clamping forces, optimization
Abstract

The paper discusses the stability of workpiece-fixture system and quantitative optimization of clamping forces during precise machining. Based on the force screw theory and the minimum norm principle, a mathematical model is formulated to calculate the entire passive forces acting on the workpiece. Furthermore, a new methodology to optimizing clamping forces is put forward, on the criteria of keeping the stability of workpiece during cutting process. By this way, the intensity of clamping forces is decreased dramatically, which is the most beneficial in improving machining quality of thin-walled machined parts. Finally, a case study is made to support and validate the proposed model.

Copyright
© 2011, 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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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
4 - 3
Pages
402 - 409
Publication Date
2011/05/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2011.4.3.15How to use a DOI?
Copyright
© 2011, 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  - JOUR
AU  - Lu Jiping
AU  - Zhang Faping
AU  - Zuo Jianhua
AU  - Qian Hanbo
AU  - Ma Ning
PY  - 2011
DA  - 2011/05/01
TI  - Quantitative Optimization of Workpiece-fixture System's Clamping Forces
JO  - International Journal of Computational Intelligence Systems
SP  - 402
EP  - 409
VL  - 4
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.3.15
DO  - 10.2991/ijcis.2011.4.3.15
ID  - Jiping2011
ER  -