Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method

Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method

High speed turning (HST) is an approach that can be used to increase the material removal rate (MRR) by higher cutting speed. Increasing MRR will lead to shortening time to market. In contrast, increasing the cutting speed will lead to increasing the flank wear rate and then the tooling cost. Ho...

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Main Authors: Al Hazza, Muataz Hazza Faizi, Mohmad Bakhari, Nur Amirah Najwa
Format: Article
Language:English
Published: Deerhill Publishing 2016
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/55246/
http://irep.iium.edu.my/55246/
http://irep.iium.edu.my/55246/1/4-84-1-PB-1.pdf
id iium-55246
recordtype eprints
spelling iium-552462017-02-13T09:41:36Z http://irep.iium.edu.my/55246/ Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method Al Hazza, Muataz Hazza Faizi Mohmad Bakhari, Nur Amirah Najwa T Technology (General) High speed turning (HST) is an approach that can be used to increase the material removal rate (MRR) by higher cutting speed. Increasing MRR will lead to shortening time to market. In contrast, increasing the cutting speed will lead to increasing the flank wear rate and then the tooling cost. However, the main factor that will justify the best level of cutting speed is the tooling cost which merges all in one understandable measurable factor for manufacturer. The aim of this paper is to determine experimentally the optimum cutting levels that minimize the tooling cost in machining AISI 304 as a work piece machined by a coated carbide tool using one of the non-conventional methods: Genetic Algorithm (GA). The experiments were designed using Box Behnken Design (BBD) with three input factors: cutting speed, feeding speed and depth of cut and three machining levels. Deerhill Publishing 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/55246/1/4-84-1-PB-1.pdf Al Hazza, Muataz Hazza Faizi and Mohmad Bakhari, Nur Amirah Najwa (2016) Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method. International Journal of Engineering Materials and Manufacture, 1 (1). pp. 11-15. ISSN 0128-1852 http://deerhillpublishing.com/index.php/ijemm/article/view/4
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Al Hazza, Muataz Hazza Faizi
Mohmad Bakhari, Nur Amirah Najwa
Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method
description High speed turning (HST) is an approach that can be used to increase the material removal rate (MRR) by higher cutting speed. Increasing MRR will lead to shortening time to market. In contrast, increasing the cutting speed will lead to increasing the flank wear rate and then the tooling cost. However, the main factor that will justify the best level of cutting speed is the tooling cost which merges all in one understandable measurable factor for manufacturer. The aim of this paper is to determine experimentally the optimum cutting levels that minimize the tooling cost in machining AISI 304 as a work piece machined by a coated carbide tool using one of the non-conventional methods: Genetic Algorithm (GA). The experiments were designed using Box Behnken Design (BBD) with three input factors: cutting speed, feeding speed and depth of cut and three machining levels.
format Article
author Al Hazza, Muataz Hazza Faizi
Mohmad Bakhari, Nur Amirah Najwa
author_facet Al Hazza, Muataz Hazza Faizi
Mohmad Bakhari, Nur Amirah Najwa
author_sort Al Hazza, Muataz Hazza Faizi
title Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method
title_short Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method
title_full Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method
title_fullStr Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method
title_full_unstemmed Optimization of cutting parameters to minimize tooling cost in high speed turning of SS304 using coated carbide tool using genetic algorithm method
title_sort optimization of cutting parameters to minimize tooling cost in high speed turning of ss304 using coated carbide tool using genetic algorithm method
publisher Deerhill Publishing
publishDate 2016
url http://irep.iium.edu.my/55246/
http://irep.iium.edu.my/55246/
http://irep.iium.edu.my/55246/1/4-84-1-PB-1.pdf
first_indexed 2023-09-18T21:18:06Z
last_indexed 2023-09-18T21:18:06Z
_version_ 1777411698571870208

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