Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

Optimization for cutting force and material removal rate in milling thin-walled parts

Authors
Sheng Qu, Mingqin Zhang
Corresponding Author
Sheng Qu
Available Online September 2016.
DOI
https://doi.org/10.2991/amitp-16.2016.91How to use a DOI?
Keywords
Thin-walled parts Machining parameters Optimization NSGA-II
Abstract
Conservative milling parameters are usually adopted in actual milling. This paper presents an optimization procedure to determine the optimum combinations of machining parameters for minimal cutting force and maximal machining efficiency. The regression model for cutting force is developed as objective function according to experimental results. The objectives under investigation in this study are cutting force and material removal rate subjected to constraints conditions. A non-dominated sorting genetic algorithm (NSGA-II) is then adopted to solve this multi-objective optimization problem. The optimized combinations of machining parameters are achieved by the Pareto optimal solutions.
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Proceedings
2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/amitp-16.2016.91How 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  - Sheng Qu
AU  - Mingqin Zhang
PY  - 2016/09
DA  - 2016/09
TI  - Optimization for cutting force and material removal rate in milling thin-walled parts
BT  - 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 461
EP  - 465
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.91
DO  - https://doi.org/10.2991/amitp-16.2016.91
ID  - Qu2016/09
ER  -