Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel

Hafiz, A. K. M. and Amin, A. K. M. Nurul and Karim, A.N. Mustafizul and Lajis, Mohd Amri (2007) Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel. In: International Conference on Industrial Engineering and Engineering Management, 2 - 5 December 2007, Singapore.

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Abstract

This paper presents a study on the development of an effective method to predict surface roughness for high speed end milling of AISI H13 tool steel using PCBN inserts. The response surface methodology (RSM) has been utilized for the postulation of a second order quadratic model in terms of cutting speed, axial depth of cut and feed. Sufficient numbers of experiments were run based on the Box-Wilson central composite design (CCD) concept of RSM in order to generate roughness data. The ANOVA technique has been used to verify the adequacy of the model at 95% confidence interval. From the model it was found that feed plays the most dominating role on surface finish followed by the cutting speed. However, axial depth of cut does not have significant effect on roughness value. The roughness tends to decrease with decreasing feed and increasing cutting speed.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	2872/16683
Uncontrolled Keywords:	AISI H13 tool steel, roughness, RSM,second order quadratic model, ANOVA.
Subjects:	T Technology > TJ Mechanical engineering and machinery
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Dr. A.K.M. Nurul Amin
Date Deposited:	10 Apr 2012 14:37
Last Modified:	10 Apr 2012 14:37
URI:	http://irep.iium.edu.my/id/eprint/16683

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