Optimization of the Surface Roughness Equation obtained by Al7136 End-Milling

The aim of this paper is to optimize the regression equation of the surface roughness obtained by 7136 aluminium alloy machined by end-milling process. The surface roughness is dependent on certain process parameters, which can vary, causing in this way variations of the surface quality. The researc...

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Main Authors: Pop Alina Bianca, Mihail Aurel Ţîţu
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201713703011
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author Pop Alina Bianca
Mihail Aurel Ţîţu
author_facet Pop Alina Bianca
Mihail Aurel Ţîţu
author_sort Pop Alina Bianca
collection DOAJ
description The aim of this paper is to optimize the regression equation of the surface roughness obtained by 7136 aluminium alloy machined by end-milling process. The surface roughness is dependent on certain process parameters, which can vary, causing in this way variations of the surface quality. The research method used in this paper is the experiment and the Taguchi design of experiment. The experiment was performed using an experimental stand, in which every step to get the purpose, is presented. The measurements were made using a portable surface roughness tester. In the first part of the paper the influence percentage of the involved parameters in the machining process, was determined. Then, a multiple linear regression model, in three different ways, was realised, in order to optimise the predicted regression equation that was initially proposed.
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spelling doaj.art-e5f4000e653d42e2a0fd094e885dd04b2022-12-21T21:30:41ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011370301110.1051/matecconf/201713703011matecconf_mtem2017_03011Optimization of the Surface Roughness Equation obtained by Al7136 End-MillingPop Alina BiancaMihail Aurel ŢîţuThe aim of this paper is to optimize the regression equation of the surface roughness obtained by 7136 aluminium alloy machined by end-milling process. The surface roughness is dependent on certain process parameters, which can vary, causing in this way variations of the surface quality. The research method used in this paper is the experiment and the Taguchi design of experiment. The experiment was performed using an experimental stand, in which every step to get the purpose, is presented. The measurements were made using a portable surface roughness tester. In the first part of the paper the influence percentage of the involved parameters in the machining process, was determined. Then, a multiple linear regression model, in three different ways, was realised, in order to optimise the predicted regression equation that was initially proposed.https://doi.org/10.1051/matecconf/201713703011
spellingShingle Pop Alina Bianca
Mihail Aurel Ţîţu
Optimization of the Surface Roughness Equation obtained by Al7136 End-Milling
MATEC Web of Conferences
title Optimization of the Surface Roughness Equation obtained by Al7136 End-Milling
title_full Optimization of the Surface Roughness Equation obtained by Al7136 End-Milling
title_fullStr Optimization of the Surface Roughness Equation obtained by Al7136 End-Milling
title_full_unstemmed Optimization of the Surface Roughness Equation obtained by Al7136 End-Milling
title_short Optimization of the Surface Roughness Equation obtained by Al7136 End-Milling
title_sort optimization of the surface roughness equation obtained by al7136 end milling
url https://doi.org/10.1051/matecconf/201713703011
work_keys_str_mv AT popalinabianca optimizationofthesurfaceroughnessequationobtainedbyal7136endmilling
AT mihailaureltitu optimizationofthesurfaceroughnessequationobtainedbyal7136endmilling