Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/28572
Title: The evaluation of the effects of control factors on surface roughness in the drilling of Waspaloy superalloy
Authors: Motorcu, Ali Rıza
Durgun, İsmail
Uludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu/Makine ve Metal Teknolojisi Bölümü.
Kuş, Abdil
AAG-9412-2021
57196667786
Keywords: Waspaloy
Drilling
Taguchi method (TM)
Surface roughness
Tool wear
Hole quality
Process parameters
Stainless-steel
Chip formation
Tool wear
Machinability
Inconel-718
Performance
Alloys
Integrity
Engineering
Instruments & Instrumentation
Carbide cutting tools
Carbides
Drills
Regression analysis
Superalloys
Taguchi methods
Wear of materials
Average surface roughness
Coefficient of correlation
Contribution ratios
Effective parameters
Predictive equations
Tool wear
Waspaloy
Surface roughness
Issue Date: Dec-2014
Publisher: Elsevier
Citation: Motorcu, A. R. vd. (2014). "The evaluation of the effects of control factors on surface roughness in the drilling of Waspaloy superalloy". Measurement, 58, 394-408.
Abstract: In this study, the effects of cutting tool type (Ct), cutting speed (Vc), feed rate (f) and drill bit angle (A) on the average surface roughness (Ra) were investigated in the drilling of Waspaloy superalloy with coated and uncoated solid carbide drills. Experimental studies were performed in the orthogonal array of L18 (2(1) x 3(3)) by using Taguchi method. A second order predictive equation was developed with Linear Regression Analysis and coefficient of correlation for Ra calculated as R-2 = 96.9%. The most effective parameters on Ra were determined as A, f, Vc and Ct with 49.44%, 15.0%, 14.45% and 13.47% contribution ratios, respectively. Ra surface roughness values increased with the increasing tool wear. In this study, the chip formation and tool wear were also evaluated. Three types chip formation such as spiral chip, string chip and short chip were observed in the drilling of Waspaloy with solid carbide drills.
URI: https://doi.org/10.1016/j.measurement.2014.09.012
https://www.sciencedirect.com/science/article/pii/S0263224114003923
http://hdl.handle.net/11452/28572
ISSN: 0263-2241
1873-412X
Appears in Collections:Scopus
Web of Science

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