02699nam a2200241 a 4500 vtls000040065 KUKTEM 20251114204404.0 090710t2008 my a f m 000 0 eng d THE0006520(Local) 201905141450 amirul 201107132151 VLOAD 200908141646 VLOAD 200908141624 VLOAD 200907101205 kam UMP TJ1185 .S53 2008 rs Bc. Shah Izwandi Mohd Zawawi Optimization of turning parameters using genetic algorithm method / Shah Izwandi Bin Mohd Zawawi Optimization of turning parameters using genetic algorithm method [electronic resource] Kuantan, Pahang : UMP, 2008 62, 16, 2 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2008 This study about development of optimization for turning parameters based on the Genetic Algorithm (GA). This method was demonstrated for the optimization of machining parameters for turning operation using conventional lathe machines. Currently, everybody has start realizing the importance of this new manufacturing optimization in order to improve the performance and its efficiency. The purpose of this project is to find the optimum parameters values for turning operations that will benefit such as reduces the machining time, improves their quality and productivity and also minimize the unit cost of the product. GA can be used in optimization problems such as scheduling, materials engineering , optimal control, and so forth. This approach has led to the important following discoveries such as GA has robustness, the balance between efficiency and performances for survival in many different environments. The machining parameters that been consider in this thesis are cutting speed, feed rate and depth of cut. The GA simulation are been develop to achieve the objective. The MATLAB software will be use to develop the GA simulation. An example to apply the Genetic Algorithm to the problem has been presented at the end of this paper to give more understanding picture from the application of the system and how its work. The result obtained from this simulation shown GA has a potential for improvements in order to optimize the turning parameters and minimize the unit production cost. The simulation based on Genetic Algorithm are successful develop and the optimum parameters values are obtained from the simulation. Machining 0 0 0 1 20000 20000 2019-09-04 0 TJ1185 .S53 2008 rs Bc. 0000038292 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 3499 | TJ1185 .S53 2008 rs Bc. 0000038293 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1182 1188 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*9992