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Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

Okokpujie, Imhade P. and Ikumapayi, Omolayo M. and Okonkwo, Ugochukwu C. and Salawu, Enesi Y. and .Afolalu, Sunday A and Dirisu, Joseph O. and Nwoke, Obinna N. and Ajayi , Oluseyi O. Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools. Open Eng, 7 (1). 461-469 .

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Abstract

In recent machining operation, tool life is one of the most demanding tasks in production process, especially in the automotive industry. The aim of this paper is to study tool wear on HSS in end milling of aluminium 6061 alloy. The experiments were carried out to investigate tool wear with the machined parameters and todevelopedmathematicalmodelusingresponsesurface methodology.Thevariousmachiningparametersselected fortheexperimentarespindlespeed(N),feedrate(f),axialdepthofcut(a)andradialdepthofcut(r).Theexperimentwasdesignedusingcentralcompositedesign(CCD) inwhich31sampleswererunonSIEG3/10/0010CNCend milling machine. After each experiment the cutting tool wasmeasuredusingscanningelectronmicroscope(SEM). Theobtainedoptimummachiningparametercombination arespindlespeedof2500rpm,feedrateof200mm/min, axialdepthofcutof20mm,andradialdepthofcut1.0mm wasfoundouttoachievedtheminimumtoolwearas0.213 mm. The mathematical model developed predicted the toolwearwith99.7%whichiswithintheacceptableaccuracyrangefortoolwearprediction

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Engr. Imhade P. Okokpujie
Date Deposited: 26 Feb 2018 07:45
Last Modified: 26 Feb 2018 07:45
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/10255

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