Energy cost optimization in high speed hard turning using simulated annealing algorithm

Selecting the cutting conditions to optimize the economics of machining process as assessed by energy machining cost is essential. The aim of this research is to determine the optimum cutting parameters that minimize the energy cost needed for removing one cubic centimetre of material in High Speed...

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Main Authors:	Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Hassan, Muhammad Hasibul, Shaffiar, Norhashimah
Format:	Article
Language:	English
Published:	Trans Tech Publications, Switzerland 2015
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/42929/ http://irep.iium.edu.my/42929/ http://irep.iium.edu.my/42929/ http://irep.iium.edu.my/42929/1/AMR.1115.104.pdf

id	iium-42929
recordtype	eprints
spelling	iium-429292017-11-08T06:15:47Z http://irep.iium.edu.my/42929/ Energy cost optimization in high speed hard turning using simulated annealing algorithm Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hassan, Muhammad Hasibul Shaffiar, Norhashimah T Technology (General) Selecting the cutting conditions to optimize the economics of machining process as assessed by energy machining cost is essential. The aim of this research is to determine the optimum cutting parameters that minimize the energy cost needed for removing one cubic centimetre of material in High Speed Hard Turning (HSHT) process. To achieve that, a set of experimental machining data to cut hardened steel AISI 4340 was obtained with different ranges of cutting speed, feed rate, depth of cut and negative rake angle using mixed ceramic as a cutting tool. Regression models have been developed by using Box-Behnken design as a design of experiment. Then, the Simulated Annealing Algorithm (SAA) has been used to optimize the cutting parameters. The data collected was statistically modelled. The results show that the range of minimum energy cost to remove one cubic centimetre of material for the three techniques can be achieved in the range of 300 to 308 as a cutting speed, -12 for cutting rake angle, 0.125 as a feed rate and 0.15 as a depth of cut Trans Tech Publications, Switzerland 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/42929/1/AMR.1115.104.pdf Al Hazza, Muataz Hazza Faizi and Adesta, Erry Yulian Triblas and Hassan, Muhammad Hasibul and Shaffiar, Norhashimah (2015) Energy cost optimization in high speed hard turning using simulated annealing algorithm. Advanced Materials Research, 1115. pp. 104-108. ISSN 1022-6680 http://www.ttp.net/1022-6680.html 10.4028/www.scientific.net/AMR.1115.104
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 Adesta, Erry Yulian Triblas Hassan, Muhammad Hasibul Shaffiar, Norhashimah Energy cost optimization in high speed hard turning using simulated annealing algorithm
description	Selecting the cutting conditions to optimize the economics of machining process as assessed by energy machining cost is essential. The aim of this research is to determine the optimum cutting parameters that minimize the energy cost needed for removing one cubic centimetre of material in High Speed Hard Turning (HSHT) process. To achieve that, a set of experimental machining data to cut hardened steel AISI 4340 was obtained with different ranges of cutting speed, feed rate, depth of cut and negative rake angle using mixed ceramic as a cutting tool. Regression models have been developed by using Box-Behnken design as a design of experiment. Then, the Simulated Annealing Algorithm (SAA) has been used to optimize the cutting parameters. The data collected was statistically modelled. The results show that the range of minimum energy cost to remove one cubic centimetre of material for the three techniques can be achieved in the range of 300 to 308 as a cutting speed, -12 for cutting rake angle, 0.125 as a feed rate and 0.15 as a depth of cut
format	Article
author	Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hassan, Muhammad Hasibul Shaffiar, Norhashimah
author_facet	Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hassan, Muhammad Hasibul Shaffiar, Norhashimah
author_sort	Al Hazza, Muataz Hazza Faizi
title	Energy cost optimization in high speed hard turning using simulated annealing algorithm
title_short	Energy cost optimization in high speed hard turning using simulated annealing algorithm
title_full	Energy cost optimization in high speed hard turning using simulated annealing algorithm
title_fullStr	Energy cost optimization in high speed hard turning using simulated annealing algorithm
title_full_unstemmed	Energy cost optimization in high speed hard turning using simulated annealing algorithm
title_sort	energy cost optimization in high speed hard turning using simulated annealing algorithm
publisher	Trans Tech Publications, Switzerland
publishDate	2015
url	http://irep.iium.edu.my/42929/ http://irep.iium.edu.my/42929/ http://irep.iium.edu.my/42929/ http://irep.iium.edu.my/42929/1/AMR.1115.104.pdf
first_indexed	2023-09-18T21:01:10Z
last_indexed	2023-09-18T21:01:10Z
_version_	1777410633064513536

Energy cost optimization in high speed hard turning using simulated annealing algorithm

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