Design of experiment’s application in the optimization of milling process

This paper examines the influence of cutting parameters on surface roughness of steel workpiece. The experiments have been carried out in accordance with a design of experiments (DOE). Equation for the surface roughness, as a function of cutting parameters, has been obtained by means of regression a...

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Main Authors: D. Bajić, S. Jozić, S. Podrug
Format: Article
Language:English
Published: Croatian Metallurgical Society 2010-04-01
Series:Metalurgija
Subjects:
Online Access:http://public.carnet.hr/metalurg/Metalurgija/2010_vol_49/No_2/MET_49_2_123_126_Bajic.pdf
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spelling doaj-6b9f4f84aad84ee0a2b1a3332bb466d42020-11-24T21:01:17ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762010-04-01492123126Design of experiment’s application in the optimization of milling processD. BajićS. JozićS. PodrugThis paper examines the influence of cutting parameters on surface roughness of steel workpiece. The experiments have been carried out in accordance with a design of experiments (DOE). Equation for the surface roughness, as a function of cutting parameters, has been obtained by means of regression analysis. To obtain the minimal value of surface roughness, the equation optimizing was performed by using partial derivations and solving system of equations. The Taguchi method, with orthogonal arrays and signal to noise ratio, has been used to analyze impact of various cutting parameters on surface roughness and to find optimal levels of the cutting parameters. The comparison of results obtained by means of the response surface method and the Taguchi method was performed.http://public.carnet.hr/metalurg/Metalurgija/2010_vol_49/No_2/MET_49_2_123_126_Bajic.pdfface millingsurface roughnessdesign of experimentsregression analysisTaguchi method
collection DOAJ
language English
format Article
sources DOAJ
author D. Bajić
S. Jozić
S. Podrug
spellingShingle D. Bajić
S. Jozić
S. Podrug
Design of experiment’s application in the optimization of milling process
Metalurgija
face milling
surface roughness
design of experiments
regression analysis
Taguchi method
author_facet D. Bajić
S. Jozić
S. Podrug
author_sort D. Bajić
title Design of experiment’s application in the optimization of milling process
title_short Design of experiment’s application in the optimization of milling process
title_full Design of experiment’s application in the optimization of milling process
title_fullStr Design of experiment’s application in the optimization of milling process
title_full_unstemmed Design of experiment’s application in the optimization of milling process
title_sort design of experiment’s application in the optimization of milling process
publisher Croatian Metallurgical Society
series Metalurgija
issn 0543-5846
1334-2576
publishDate 2010-04-01
description This paper examines the influence of cutting parameters on surface roughness of steel workpiece. The experiments have been carried out in accordance with a design of experiments (DOE). Equation for the surface roughness, as a function of cutting parameters, has been obtained by means of regression analysis. To obtain the minimal value of surface roughness, the equation optimizing was performed by using partial derivations and solving system of equations. The Taguchi method, with orthogonal arrays and signal to noise ratio, has been used to analyze impact of various cutting parameters on surface roughness and to find optimal levels of the cutting parameters. The comparison of results obtained by means of the response surface method and the Taguchi method was performed.
topic face milling
surface roughness
design of experiments
regression analysis
Taguchi method
url http://public.carnet.hr/metalurg/Metalurgija/2010_vol_49/No_2/MET_49_2_123_126_Bajic.pdf
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