Journal
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Volume 170, Issue 1-2, Pages 11-16Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jmatprotec.2005.04.096
Keywords
milling; cutting conditions; surface roughness; injection molding; response surface methodology; genetic algorithm
Ask authors/readers for more resources
This paper focuses on the development of an effective methodology to determine the optimum cutting conditions leading to minimum surface roughness in milling of mold surfaces by coupling response surface methodology (RSM) with a developed genetic algorithm (GA). RSM is utilized to create an efficient analytical model for surface roughness in terms of cutting parameters: feed, cutting speed, axial depth of cut, radial depth of cut and machining tolerance. For this purpose, a number of machining experiments based on statistical three-level full factorial design of experiments method are carried out in order to collect surface roughness values. An effective fourth order response surface (RS) model is developed utilizing experimental measurements in the mold cavity. RS model is further interfaced with the GA to optimize the cutting conditions for desired surface roughness. The GA reduces the surface roughness value in the mold cavity from 0.412 mu m to 0.375 mu m corresponding to about 10% improvement. Optimum cutting condition produced from GA is verified with the experimental measurement. (c) 2005 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available