Optimization of turning parameters using genetic algorithm method

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...

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第一著者: Shah Izwandi, Mohd Zawawi
フォーマット: Undergraduates Project Papers
言語:English
出版事項: 2008
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オンライン・アクセス:http://umpir.ump.edu.my/id/eprint/258/1/shah_izwandi.pdf
http://umpir.ump.edu.my/id/eprint/258/
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spelling my.ump.umpir.2582021-06-09T08:09:42Z http://umpir.ump.edu.my/id/eprint/258/ Optimization of turning parameters using genetic algorithm method Shah Izwandi, Mohd Zawawi TJ Mechanical engineering and machinery 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. 2008-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/258/1/shah_izwandi.pdf Shah Izwandi, Mohd Zawawi (2008) Optimization of turning parameters using genetic algorithm method. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Shah Izwandi, Mohd Zawawi
Optimization of turning parameters using genetic algorithm method
description 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.
format Undergraduates Project Papers
author Shah Izwandi, Mohd Zawawi
author_facet Shah Izwandi, Mohd Zawawi
author_sort Shah Izwandi, Mohd Zawawi
title Optimization of turning parameters using genetic algorithm method
title_short Optimization of turning parameters using genetic algorithm method
title_full Optimization of turning parameters using genetic algorithm method
title_fullStr Optimization of turning parameters using genetic algorithm method
title_full_unstemmed Optimization of turning parameters using genetic algorithm method
title_sort optimization of turning parameters using genetic algorithm method
publishDate 2008
url http://umpir.ump.edu.my/id/eprint/258/1/shah_izwandi.pdf
http://umpir.ump.edu.my/id/eprint/258/
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score 13.250246