02116nam a2200253 a 4500 vtls000043011 KUKTEM 20251114204455.0 090902t2008 my a f m 000 0 eng|d THE0005504(Local) 201905160950 hanafiah 201209071545 Fida 201107132236 VLOAD 200909021230 ida UMP QA402.5 .N39 2008 rs Bc. Mohamad Nazri Semoin Optimization of turning parameters using ant colony optimization / Mohamad Nazri Semoin Kuantan, Pahang : UMP, 2008 90 p. : ill.(some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008 This project proposed a new optimization technique based on the ant colony algorithm for solving single-pass turning optimization problems. The cutting process has focus on roughing stages. There are enough handbooks to provide recommended cutting parameters and not consider the economic aspects of machining. The cost of machining on these machines is sensitive to the machining variable. The project objectives are to develop Ant Colony Optimization (ACO) algorithm for CNC turning process and to optimize turning parameters for minimized production cost per unit. Method used for this project is Ant Colony Optimization. This method consists of many steps will elaborate detail in this thesis. The machining parameters are determined by minimized production cost per unit, subject to various practical machining constraints. The results indicate that the proposed ant colony framework is effective to optimized turning parameter. Lastly, ACO algorithm was successfully optimize depth of cut, cutting speed, feed rate and minimized production cost per unit. Combinational optimization Data processing Computer algorithms Machining 0 0 0 1 20000 20000 2019-09-04 0 QA402.5 .N39 2008 rs Bc. 0000038093 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 3400 | QA402.5 .N39 2008 rs Bc. 0000038094 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2655 2661 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5200*6500*6501*6502*9992