Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/32321
Title: Analysis of the cutting temperature and surface roughness during the orthogonal machining of AISI 4140 alloy steel via the taguchi method
Authors: Motorcu, Ali Rıza
Uludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu/Makine Programı Bölümü.
Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.
Çakır, Mustafa Cemal
Işık, Yahya
Kuş, Abdil
AAG-9412-2021
8981150600
57196667786
57987557800
Keywords: Materials science
Metallurgy & metallurgical engineering
Tool temperature
Thermocouple
Pyrometer
Machining
Taguchi method
Optimization
Parameters
Issue Date: 8-Jun-2015
Publisher: Inst Za Kovinske Materiale i in Tehnologie
Citation: Motorcu, A. R. vd. (2016). "Analysis of the cutting temperature and surface roughness during the orthogonal machining of AISI 4140 alloy steel via the taguchi method". Materiali in Tehnologije, 50(3), 343-351.
Abstract: In this research, the tool-chip interface temperature (T-CTI), the tool temperature (T-T) and the average surface roughness (R-a) were measured experimentally during the turning of AISI 4140 alloy steel with TiAlN-TiN, PVD-coated, WNVG 080404-IC907 tungsten carbide inserts using an IR pyrometer technique, a K-type thermocouple and a portable surface-roughness measurement device, respectively. The workpiece material was heat treated by an induction-hardening process and hardened up to a value of 50 HRC. The Taguchi method L18 (21 x 37) was used for the determination of the optimum control factors. The depth of cut, the cutting speed and the feed rate were taken as control factors. The analysis of variance was applied in order to determine the effects of the control factors on the tool-chip interface temperature, the tool temperature and the surface roughness. The optimum combinations of the control factors for T-CTI, T-T and R-a were determined as a(2)v(1)f(3), a(1)v(3)f(2) and a(2)v(3)f(1), respectively. Second-order predictive models were developed with a linear-regression analysis, and the coefficients of correlation for T-CTI, T-T and R-a were calculated as R-2 = 92.8, R-2 = 68.1 and R-2 = 82.6, respectively.
URI: https://doi.org/10.17222/mit.2015.021
http://mit.imt.si/Revija/izvodi/mit163/motorcu.pdf
http://hdl.handle.net/11452/32321
ISSN: 1580-2949
1580-3414
Appears in Collections:Scopus
Web of Science

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