02810nam a2200253 a 4500 vtls000039796 KUKTEM 20251114204418.0 090708t2008 my a f m 00| 0 eng|d THE0006561(Local) 201905161002 amirul 201905161002 amirul 201107132244 VLOAD 200908141645 VLOAD 200907081010 ida84 UMP TJ1189 .S28 2008 rs Bc. Mohd Saupi Mohd Sauki Optimization of milling parameters using ant colony optimization / Mohd Saupi Mohd Sauki Optimization of milling parameters using ant colony optimization [electronic resource] Kuantan, Pahang : UMP, 2008 63 p. : ill. ; 30 cm. + 1 computer disc Project paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008 In process planning of conventional milling, selecting reasonable milling parameters is necessary to satisfy requirements involving machining economics, quality and safety. This study is to develop optimization procedures based on the Ant Colony Optimization (ACO). This method was demonstrated for the optimization of machining parameters for milling operation. The machining parameters in milling operations consist of cutting speed, feed rate and depth of cut. These machining parameters significantly impact on the cost, productivity and quality of machining parts. The developed strategy based on the maximize production rate criterion. This study describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. The ACO simulation is develop to achieve the objective to optimize milling parameters to maximize the production rate in milling operation. The Matlab software will be use to develop the ACO simulation. All the references are taken from related articles, journals and books. An example to apply the Ant Colony Algorithm to the problem has been presented at the end of the paper to give clear picture from the application of the system and its efficiency. The result obtained from this simulation will compare with another method like Genetic Algorithm (GA) and Linear Programming Technique (LPT) to validation. The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation Machine-tools Numerical control Machine-tools Programmning 0 0 0 1 20000 20000 2019-09-04 0 TJ1189 .S28 2008 rs Bc. 0000038061 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 3384 | TJ1189 .S28 2008 rs Bc. 0000038062 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1587 1593 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*9992