Surface roughness modeling of semi solid aluminum milling by fuzzy logic

Savkovic B., Kovac P., Mankova I., Gostimirovic M., Rokosz K. and Rodic D.
Additional contact information
Savkovic B.: Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Kovac P.: Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Mankova I.: Faculty of Mechanical Engineering, Technical University of Kos?ice, Kos?ice, Slovakia
Gostimirovic M.: Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Rokosz K.: Koszalin University of Technology, Koszalin, Poland
Rodic D.: Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

Journal of Advances in Technology and Engineering Research, 2017, vol. 3, issue 2, 34-46

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.

Keywords: Face Milling; Surface Roughness; Factorial Plan; Fuzzy Logic; Modeling (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:apb:jaterr:2017:p:34-46

DOI: 10.20474/jater-3.2.2

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