International Journal of Networked and Distributed Computing

Volume 2, Issue 2, April 2014, Pages 108 - 114

Multi-Objective Optimization for Milling Operations using Genetic Algorithms under Various Constraints

Authors
Libao An, Peiqing Yang, Hong Zhang, Mingyuan Chen
Corresponding Author
Libao An
Available Online 1 April 2014.
DOI
https://doi.org/10.2991/ijndc.2014.2.2.5How to use a DOI?
Keywords
face-milling operation; multi-objective optimization; machining parameter; genetic algorithms
Abstract
In this paper, the parameter optimization problem for face-milling operations is studied. A multi-objective mathematical model is developed with the purpose to minimize the unit production cost and total machining time while maximize the profit rate. The unwanted material is removed by one finishing pass and at least one roughing passes depending on the total depth of cut. Maximum and minimum allowable cutting speeds, feed rates and depths of cut, as well as tool life, surface roughness, cutting force and cutting power consumption are constraints of the model. Optimal values of objective function and corresponding machining parameters are found by Genetic Algorithms. An example is presented to illustrate the model and solution method.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Journal
International Journal of Networked and Distributed Computing
Volume-Issue
2 - 2
Pages
108 - 114
Publication Date
2014/04
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
https://doi.org/10.2991/ijndc.2014.2.2.5How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Libao An
AU  - Peiqing Yang
AU  - Hong Zhang
AU  - Mingyuan Chen
PY  - 2014
DA  - 2014/04
TI  - Multi-Objective Optimization for Milling Operations using Genetic Algorithms under Various Constraints
JO  - International Journal of Networked and Distributed Computing
SP  - 108
EP  - 114
VL  - 2
IS  - 2
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2014.2.2.5
DO  - https://doi.org/10.2991/ijndc.2014.2.2.5
ID  - An2014
ER  -