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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Main Author:	Shah Izwandi, Mohd Zawawi
Format:	Undergraduates Project Papers
Language:	English
Published:	2008
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/258/ http://umpir.ump.edu.my/id/eprint/258/ http://umpir.ump.edu.my/id/eprint/258/1/shah_izwandi.pdf

id	ump-258
recordtype	eprints
spelling	ump-2582015-03-03T06:16:05Z 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. http://iportal.ump.edu.my/lib/item?id=chamo:40065&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/258/ http://umpir.ump.edu.my/id/eprint/258/1/shah_izwandi.pdf
first_indexed	2023-09-18T21:52:15Z
last_indexed	2023-09-18T21:52:15Z
_version_	1777413847373578240

Optimization of turning parameters using genetic algorithm method

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