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...
Main Authors: | , , |
---|---|
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 |
id |
doaj-6b9f4f84aad84ee0a2b1a3332bb466d4 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT dbajic designofexperimentsapplicationintheoptimizationofmillingprocess AT sjozic designofexperimentsapplicationintheoptimizationofmillingprocess AT spodrug designofexperimentsapplicationintheoptimizationofmillingprocess |
_version_ |
1716778347311136768 |