Volume 2, Issue 2, April 2014, Pages 108 - 114
Multi-Objective Optimization for Milling Operations using Genetic Algorithms under Various Constraints
- Libao An, Peiqing Yang, Hong Zhang, Mingyuan Chen
- Corresponding Author
- Libao An
Available Online 15 October 2017.
- https://doi.org/10.2991/ijndc.2014.2.2.5How to use a DOI?
- face-milling operation; multi-objective optimization; machining parameter; genetic algorithms
- 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.
Cite this article
TY - JOUR AU - Libao An AU - Peiqing Yang AU - Hong Zhang AU - Mingyuan Chen PY - 2017 DA - 2017/10 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 - An2017 ER -