Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel

This paper presents the results of experimental investigations conducted on a vertical machining centre (VMC) using spindle speed, feed rate, and depth of cut as machining variables to ascertain the effectiveness of TiAlN insert in end milling of hardened steel AISI H13, under workpiece preheated co...

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Main Authors:	Amin, A. K. M. Nurul, Hafiz, A.M.K., Lajis, M.A., Patwari, Anayet U.
Format:	Article
Language:	English
Published:	Trans Tech Publications, Switzerland 2010
Subjects:	TJ Mechanical engineering and machinery TS Manufactures
Online Access:	http://irep.iium.edu.my/16680/ http://irep.iium.edu.my/16680/ http://irep.iium.edu.my/16680/ http://irep.iium.edu.my/16680/1/AMR_2010_-_Prediction_of_TL_n_Experimental_Investigation_During_Hot_Milling_of_AISI_H13.pdf

id	iium-16680
recordtype	eprints
spelling	iium-166802012-01-31T06:27:51Z http://irep.iium.edu.my/16680/ Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel Amin, A. K. M. Nurul Hafiz, A.M.K. Lajis, M.A. Patwari, Anayet U. TJ Mechanical engineering and machinery TS Manufactures This paper presents the results of experimental investigations conducted on a vertical machining centre (VMC) using spindle speed, feed rate, and depth of cut as machining variables to ascertain the effectiveness of TiAlN insert in end milling of hardened steel AISI H13, under workpiece preheated conditions and hence a statistical model was developed using the capabilities of Response Surface Methodology (RSM) to predict the tool life. Sufficient number of experiments was conducted based on the small central composite design (CCD) concept of RSM to generate tool life data for the selected machining variables. The adequacy of the model was tested at 95% confidence interval. Meanwhile, a time trend was observed in residual values between model predictions and experimental data, reflecting little deviations in tool life prediction. A very good performance of the RSM model, in terms of agreement with experimental data, was achieved. The model can be used for the analysis and prediction of the complex relationship between cutting conditions and the tool life in flat end milling of hardened materials. Trans Tech Publications, Switzerland 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/16680/1/AMR_2010_-_Prediction_of_TL_n_Experimental_Investigation_During_Hot_Milling_of_AISI_H13.pdf Amin, A. K. M. Nurul and Hafiz, A.M.K. and Lajis, M.A. and Patwari, Anayet U. (2010) Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel. Advanced Materials Research, 83-86. pp. 190-197. ISSN 1022-6680 http://dx.doi.org/10.4028/www.scientific.net/AMR.83-86.190 doi:10.4028/www.scientific.net/AMR.83-86.190
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 TS Manufactures
spellingShingle	TJ Mechanical engineering and machinery TS Manufactures Amin, A. K. M. Nurul Hafiz, A.M.K. Lajis, M.A. Patwari, Anayet U. Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel
description	This paper presents the results of experimental investigations conducted on a vertical machining centre (VMC) using spindle speed, feed rate, and depth of cut as machining variables to ascertain the effectiveness of TiAlN insert in end milling of hardened steel AISI H13, under workpiece preheated conditions and hence a statistical model was developed using the capabilities of Response Surface Methodology (RSM) to predict the tool life. Sufficient number of experiments was conducted based on the small central composite design (CCD) concept of RSM to generate tool life data for the selected machining variables. The adequacy of the model was tested at 95% confidence interval. Meanwhile, a time trend was observed in residual values between model predictions and experimental data, reflecting little deviations in tool life prediction. A very good performance of the RSM model, in terms of agreement with experimental data, was achieved. The model can be used for the analysis and prediction of the complex relationship between cutting conditions and the tool life in flat end milling of hardened materials.
format	Article
author	Amin, A. K. M. Nurul Hafiz, A.M.K. Lajis, M.A. Patwari, Anayet U.
author_facet	Amin, A. K. M. Nurul Hafiz, A.M.K. Lajis, M.A. Patwari, Anayet U.
author_sort	Amin, A. K. M. Nurul
title	Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel
title_short	Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel
title_full	Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel
title_fullStr	Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel
title_full_unstemmed	Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel
title_sort	prediction of tool life and experimental investigation during hot milling of aisi h13 tool steel
publisher	Trans Tech Publications, Switzerland
publishDate	2010
url	http://irep.iium.edu.my/16680/ http://irep.iium.edu.my/16680/ http://irep.iium.edu.my/16680/ http://irep.iium.edu.my/16680/1/AMR_2010_-_Prediction_of_TL_n_Experimental_Investigation_During_Hot_Milling_of_AISI_H13.pdf
first_indexed	2023-09-18T20:25:26Z
last_indexed	2023-09-18T20:25:26Z
_version_	1777408384931201024

Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel

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