MATEC Web Conf.
Volume 137, 2017Modern Technologies in Manufacturing (MTeM 2017 - AMaTUC)
|Number of page(s)||8|
|Section||Machining Processes and Quality Assurance|
|Published online||22 November 2017|
Optimization of the Surface Roughness Equation obtained by Al7136 End-Milling
1 SC TechnoCAD SA, Vasile Alecsandri no. 72, code 430351, Baia Mare, România
2 Lucian Blaga University of Sibiu, Victoriei Street no. 10, code 550024, Sibiu, România
* Corresponding author: email@example.com,
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.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.