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

DOI

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.

Copyright

© 2016, 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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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  - Proceedings of the 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  - 10.2991/amitp-16.2016.91
ID  - Qu2016/09
ER  -