Journal of Advances in Technology and Engineering Research
Details
Journal ISSN: 2414-4592
Article DOI: https://doi.org/10.20474/jater-3.2.2
Received: 14 October 2016
Accepted: 5 January 2017
Published: 21 April 2017
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  • Surface roughness modeling of semi solid aluminum milling by fuzzy logic


Savkovic B., Kovac P., Mankova I., Gostimirovic M., Rokosz K., Rodic D.

Published online: 2017

Abstract

In the paper carried out was modeling of cutting parameters in face milling process of Semi Solid Metal alloys. As input parameters in the process of modeling were taken: cutting speed v, the feed per tooth and depth of cut, while for the output characteristics of the process were taken arithmetic mean surface roughness Ra and maximum roughness height Rmax. Modeling was done in two ways. The first model was made with the help of mathematical and statistical method- factorial experiment DoE, where it was used model with parameters’ interaction. The second model was made by artificial intelligence and as a tool was chosen fuzzy logic.