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...

Full description

Saved in:
Bibliographic Details
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:
Online Access:http://irep.iium.edu.my/4438/1/IJMMM0801-0202_FARIS.pdf
http://irep.iium.edu.my/4438/
http://www.inderscience.com/search/index.php?action=record&rec_id=34487
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.4438
record_format dspace
spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/4438/1/IJMMM0801-0202_FARIS.pdf
http://irep.iium.edu.my/4438/
http://www.inderscience.com/search/index.php?action=record&rec_id=34487
_version_ 1643605339458764800
score 13.1944895