Experimental data-set for prediction of tool wear during turning of Al-1061alloy by high speed steel cutting tools

Okokpujie, Imhade P. and Ohunakin, O.S. and Bolu, Christian and Okokpujie, Kennedy O. (2018) Experimental data-set for prediction of tool wear during turning of Al-1061alloy by high speed steel cutting tools. Data in Brief, 18. pp. 1196-1203. ISSN 2352-3409

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Abstract

In thisinvestigation,thedatasetpresentedwillgiveimportant information tounderstandtheareaofcuttingtoolwearduring turning operations,toolnatureisthemostdifficult tasksinman- ufacturing process,particularlyinthelocomotiveindustry.With the viewtooptimizethecuttingparameters,thetestswerecarried out toinvestigatetoolwearonhighspeedsteel(HSS)during turning operationofaluminium1061alloyandtodeveloped mathematical modelsusingleastsquaresmethod.Thecutting parameterschosenforthisinvestigationarecuttingspeed,feed rate,andradialdepthofcutwereusedasinputparametersin order topredicttoolwear.Theexperimentwasdesignedbyusing full factorial33 in which27sampleswereruninaFanuc0iTCCNC lathe. Aftereachtest,scanningelectronmicroscope(SEM)isused to measurethecuttingtoolinothertodeterminethetoolwear

Item Type:	Article
Uncontrolled Keywords:	Toolwear Turn operation Aluminium 1061alloy High speedsteel
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Mrs Patricia Nwokealisi
Date Deposited:	09 Jan 2019 15:04
Last Modified:	09 Jan 2019 15:04
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/12266

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