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Performance Analysis And Postulation Modeling Of Tool Wear In Drilling

Drilling Is the most important and frequency performed cutting procedure in the machining process. Metal removing process is becoming increasingly more complex, demanding and experiences an unprecedented growth. It has been reported that, one-third operation of material removal processes performed i...

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Main Authors: Subramonian, Sivarao, Lee, Tian Soon, Chin, Chee Wen
Format: Article
Language:English
Published: 2004
Online Access:http://eprints.utem.edu.my/id/eprint/9239/1/42.pdf
http://eprints.utem.edu.my/id/eprint/9239/
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spelling my.utem.eprints.92392021-07-14T09:28:52Z http://eprints.utem.edu.my/id/eprint/9239/ Performance Analysis And Postulation Modeling Of Tool Wear In Drilling Subramonian, Sivarao Lee, Tian Soon Chin, Chee Wen Drilling Is the most important and frequency performed cutting procedure in the machining process. Metal removing process is becoming increasingly more complex, demanding and experiences an unprecedented growth. It has been reported that, one-third operation of material removal processes performed in industry is drilling operation. The paper deals with the measurement and the analysis of tool wear at different cutting conditions and parameters as per the model designed and tested according to factorial design method. Total of sixteen experiments were carried out to complete the research by using two different make twist drills (tool X and tool Y) possessing same specifications. The variables selected for tool wear were cutting speed, feed, machining time and thrust force. The designed model is to be tested by the R square analysis. The aim of the present work is to identify suitable parameters, the monitoring of which will enable the prediction of drill failure. The relative comparison of tool wear for tool X and Y is to be done by observed values and analytical values, namely by statistical analysis and inverse coefficient matrix method. Later, tool validation is to be carried out to verify which is the better tool (X or Y) by residual analysis. 2004 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/9239/1/42.pdf Subramonian, Sivarao and Lee, Tian Soon and Chin, Chee Wen (2004) Performance Analysis And Postulation Modeling Of Tool Wear In Drilling. American Journal of Science and Engineering, 3 (1). pp. 75-82. ISSN 1608-3679
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Drilling Is the most important and frequency performed cutting procedure in the machining process. Metal removing process is becoming increasingly more complex, demanding and experiences an unprecedented growth. It has been reported that, one-third operation of material removal processes performed in industry is drilling operation. The paper deals with the measurement and the analysis of tool wear at different cutting conditions and parameters as per the model designed and tested according to factorial design method. Total of sixteen experiments were carried out to complete the research by using two different make twist drills (tool X and tool Y) possessing same specifications. The variables selected for tool wear were cutting speed, feed, machining time and thrust force. The designed model is to be tested by the R square analysis. The aim of the present work is to identify suitable parameters, the monitoring of which will enable the prediction of drill failure. The relative comparison of tool wear for tool X and Y is to be done by observed values and analytical values, namely by statistical analysis and inverse coefficient matrix method. Later, tool validation is to be carried out to verify which is the better tool (X or Y) by residual analysis.
format Article
author Subramonian, Sivarao
Lee, Tian Soon
Chin, Chee Wen
spellingShingle Subramonian, Sivarao
Lee, Tian Soon
Chin, Chee Wen
Performance Analysis And Postulation Modeling Of Tool Wear In Drilling
author_facet Subramonian, Sivarao
Lee, Tian Soon
Chin, Chee Wen
author_sort Subramonian, Sivarao
title Performance Analysis And Postulation Modeling Of Tool Wear In Drilling
title_short Performance Analysis And Postulation Modeling Of Tool Wear In Drilling
title_full Performance Analysis And Postulation Modeling Of Tool Wear In Drilling
title_fullStr Performance Analysis And Postulation Modeling Of Tool Wear In Drilling
title_full_unstemmed Performance Analysis And Postulation Modeling Of Tool Wear In Drilling
title_sort performance analysis and postulation modeling of tool wear in drilling
publishDate 2004
url http://eprints.utem.edu.my/id/eprint/9239/1/42.pdf
http://eprints.utem.edu.my/id/eprint/9239/
_version_ 1706960909354663936
score 13.244369

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