Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm

High cutting temperatures in dry turning processes increase tool wear and affect the quality of the work piece. This project presents the optimization of cutting parameters in a dry turning process in order to reduce the cutting temperature using mild steel as the work piece and carbide insert cutti...

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Main Author:	Muhammad Waseem
Format:	Thesis
Language:	English English
Published:	2014
Subjects:	T Technology (General) TS Manufactures
Online Access:	http://eprints.utem.edu.my/id/eprint/14720/1/Optimization%20Of%20Cutting%20Parameters%20To%20Reduce%20Cutting%20Tool%20Temperature%20In%20A%20Dry%20Turning%20Process%20Using%20Genetic%20Algorithm%2024pages.pdf http://eprints.utem.edu.my/id/eprint/14720/2/Optimization%20of%20cutting%20parameters%20to%20reduce%20cutting%20tool%20temperature%20in%20a%20dry%20turning%20process%20using%20genetic%20algorithm.pdf
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spelling	my-utem-ep.147202022-12-28T16:32:25Z Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm 2014 Muhammad Waseem T Technology (General) TS Manufactures High cutting temperatures in dry turning processes increase tool wear and affect the quality of the work piece. This project presents the optimization of cutting parameters in a dry turning process in order to reduce the cutting temperature using mild steel as the work piece and carbide insert cutting tool. The optimization has been carried out by manipulating the feed rate, depth of cut and cutting speed using Genetic Algorithm. GA was processed using MATLAB and the values of cutting speed, depth of cut and the feed rate were varied between constraints of 50 - 200 m/min, 0.5 - 2 mm and 0.05 to 0.25 mm/rev. respectively. The effects of varying cutting speed, depth of cut and feed rate on the cutting temperature were analyzed and the optimal parameters resulting in the lowest temperatures for different production volumes were then selected from the results. 2014 Thesis http://eprints.utem.edu.my/id/eprint/14720/ http://eprints.utem.edu.my/id/eprint/14720/1/Optimization%20Of%20Cutting%20Parameters%20To%20Reduce%20Cutting%20Tool%20Temperature%20In%20A%20Dry%20Turning%20Process%20Using%20Genetic%20Algorithm%2024pages.pdf text en public http://eprints.utem.edu.my/id/eprint/14720/2/Optimization%20of%20cutting%20parameters%20to%20reduce%20cutting%20tool%20temperature%20in%20a%20dry%20turning%20process%20using%20genetic%20algorithm.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=92231 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering Minhat, Mohamad
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Minhat, Mohamad
topic	T Technology (General) TS Manufactures
spellingShingle	T Technology (General) TS Manufactures Muhammad Waseem Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm
description	High cutting temperatures in dry turning processes increase tool wear and affect the quality of the work piece. This project presents the optimization of cutting parameters in a dry turning process in order to reduce the cutting temperature using mild steel as the work piece and carbide insert cutting tool. The optimization has been carried out by manipulating the feed rate, depth of cut and cutting speed using Genetic Algorithm. GA was processed using MATLAB and the values of cutting speed, depth of cut and the feed rate were varied between constraints of 50 - 200 m/min, 0.5 - 2 mm and 0.05 to 0.25 mm/rev. respectively. The effects of varying cutting speed, depth of cut and feed rate on the cutting temperature were analyzed and the optimal parameters resulting in the lowest temperatures for different production volumes were then selected from the results.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Muhammad Waseem
author_facet	Muhammad Waseem
author_sort	Muhammad Waseem
title	Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm
title_short	Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm
title_full	Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm
title_fullStr	Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm
title_full_unstemmed	Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm
title_sort	optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Manufacturing Engineering
publishDate	2014
url	http://eprints.utem.edu.my/id/eprint/14720/1/Optimization%20Of%20Cutting%20Parameters%20To%20Reduce%20Cutting%20Tool%20Temperature%20In%20A%20Dry%20Turning%20Process%20Using%20Genetic%20Algorithm%2024pages.pdf http://eprints.utem.edu.my/id/eprint/14720/2/Optimization%20of%20cutting%20parameters%20to%20reduce%20cutting%20tool%20temperature%20in%20a%20dry%20turning%20process%20using%20genetic%20algorithm.pdf
_version_	1776103078886375424

Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm

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