Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm

Chip morphology and segmentation play a predominant role in determining machinability and chatter during the machining of different materials. At lower cutting speeds the chip is often discontinuous, while it becomes serrated as the cutting speeds are increased. It has been identified that the chip...

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Main Authors:	Ullah Patwari, Mohammed Anayet, Amin, A. K. M. Nurul, Istihyaq , M.H., Faris, Waleed Fekry
Format:	Article
Language:	English
Published:	inderscience publisher 2010
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/4438/ http://irep.iium.edu.my/4438/ http://irep.iium.edu.my/4438/ http://irep.iium.edu.my/4438/1/IJMMM0801-0202_FARIS.pdf

id	iium-4438
recordtype	eprints
spelling	iium-44382012-01-26T08:21:55Z http://irep.iium.edu.my/4438/ Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm Ullah Patwari, Mohammed Anayet Amin, A. K. M. Nurul Istihyaq , M.H. Faris, Waleed Fekry TJ Mechanical engineering and machinery Chip morphology and segmentation play a predominant role in determining machinability and chatter during the machining of different materials. At lower cutting speeds the chip is often discontinuous, while it becomes serrated as the cutting speeds are increased. It has been identified that the chip formation process has a discrete nature, associated with the periodic shearing process of the chip during machining of different materials. Apart from the primary serrated teeth, a typical instability of periodic nature, in the form of secondary saw/serrated teeth, which appear at the free edge of the chip, has been identified. Mechanism of formation of these teeth has been studied and the frequency of their formation has been determined. In this paper, a new analytical technique is proposed to predict the frequency of chip formation instability as a function of cutting parameters. In this technique, a mathematical model has been developed between the cutting parameters and the instability frequency of the chip serration based on response surface methodology and the model is verified by fuzzy logic with genetic algorithm. inderscience publisher 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/4438/1/IJMMM0801-0202_FARIS.pdf Ullah Patwari, Mohammed Anayet and Amin, A. K. M. Nurul and Istihyaq , M.H. and Faris, Waleed Fekry (2010) Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm. International Journal of Machining and Machinability of Materials (IJMMM), 8 (1/2). pp. 38-54. ISSN 1748-572X http://www.inderscience.com/search/index.php?action=record&rec_id=34487 10.1504/..034487
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Ullah Patwari, Mohammed Anayet Amin, A. K. M. Nurul Istihyaq , M.H. Faris, Waleed Fekry Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
description	Chip morphology and segmentation play a predominant role in determining machinability and chatter during the machining of different materials. At lower cutting speeds the chip is often discontinuous, while it becomes serrated as the cutting speeds are increased. It has been identified that the chip formation process has a discrete nature, associated with the periodic shearing process of the chip during machining of different materials. Apart from the primary serrated teeth, a typical instability of periodic nature, in the form of secondary saw/serrated teeth, which appear at the free edge of the chip, has been identified. Mechanism of formation of these teeth has been studied and the frequency of their formation has been determined. In this paper, a new analytical technique is proposed to predict the frequency of chip formation instability as a function of cutting parameters. In this technique, a mathematical model has been developed between the cutting parameters and the instability frequency of the chip serration based on response surface methodology and the model is verified by fuzzy logic with genetic algorithm.
format	Article
author	Ullah Patwari, Mohammed Anayet Amin, A. K. M. Nurul Istihyaq , M.H. Faris, Waleed Fekry
author_facet	Ullah Patwari, Mohammed Anayet Amin, A. K. M. Nurul Istihyaq , M.H. Faris, Waleed Fekry
author_sort	Ullah Patwari, Mohammed Anayet
title	Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
title_short	Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
title_full	Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
title_fullStr	Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
title_full_unstemmed	Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
title_sort	development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
publisher	inderscience publisher
publishDate	2010
url	http://irep.iium.edu.my/4438/ http://irep.iium.edu.my/4438/ http://irep.iium.edu.my/4438/ http://irep.iium.edu.my/4438/1/IJMMM0801-0202_FARIS.pdf
first_indexed	2023-09-18T20:12:39Z
last_indexed	2023-09-18T20:12:39Z
_version_	1777407580856909824

Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm

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