000			02116nam a2200253 a 4500
001			vtls000043011
003			KUKTEM
005			20251114204455.0
008			090902t2008 my a f m 000 0 eng|d
020			_aTHE0005504(Local)
039		9	_a201905160950 _bhanafiah _c201209071545 _dFida _c201107132236 _dVLOAD _y200909021230 _zida
040			_aUMP
090			_aQA402.5 .N39 2008 rs Bc.
100	0		_aMohamad Nazri Semoin
245	1	0	_aOptimization of turning parameters using ant colony optimization / _cMohamad Nazri Semoin
260			_aKuantan, Pahang : _bUMP, _c2008
300			_a90 p. : _bill.(some col.) ; _c30 cm. + _e1 CD-ROM
502			_aProject paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008
520	3		_aThis 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.
650		0	_aCombinational optimization _xData processing
650		0	_aComputer algorithms
650		0	_aMachining
999			_aVIRTUA40 _c2655 _d2661
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5200*6500*6501*6502*9992