Optimization Of End-Milling Operation Using Response Surface Methodology in Combination With Simulated Annealing | ||||
| The International Conference on Mathematics and Engineering Physics | ||||
| Article 9, Volume 5, International Conference on Mathematics and Engineering Physics (ICMEP-5), May 2010, Page 1-10 PDF (256.01 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/icmep.2010.29803 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mohamed H. Rasmy; M. H. Gadallah | ||||
| Abstract | ||||
| Abstract: In this paper we describe a methodology that includes the complementary use of response surface methodology (RSM) and simulated annealing algorithms(SAA).In this methodology we use response surface methodology (RSM) through 12 experiments for 3 input (depth of cut- cutting speed and feed rate) with 3 levels for each to develop an approximating model for end-milling process. This approximating model is based on observed data from the process. Then we use simulated annealing algorithms to solve this model within the range of the factors (depth of cut- cutting speed and feed rate) to predict the optimal value of surface roughness and cutting condition. | ||||
| Keywords | ||||
| response surface methodology – simulated annealing – surface roughness | ||||
|
Statistics Article View: 145 PDF Download: 228 |
||||
