Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/9301
Title: Chemometric approach for mechanical properties prediction during the electromagnetic casting process
Authors: Patarić A.
Gulišija Z.
Jordović, Branka
Pezo, Lato
Mihailović, Marija
Stefanovic, Milentije
Issue Date: 2015
Abstract: © 2015 The Japan Institute of Metals and Materials. In this study the mechanical properties (reduction of area, S0, tensile strength, Rm, yield strength, Rp, and elongation, A) of EN AW 7075 aluminum alloy obtained by electromagnetic casting were investigated at different operating parameters: frequency (V), field strength (T) and current intensity (I). The predictive mathematical models using Response Surface Methodology, with second order polynomial (SOP) regression models, and Artificial Neural Network model (ANN), were afterwards compared to obtained experimental results. Analysis of variance and posthoc Tukey's HSD test at 95% confidence limit (honestly significant differences) have been utilised to show significant differences between various samples. SOP models showed good prediction capabilities, with high coefficients of determination (r<sup>2</sup>), 0.5310.977, while ANN model performed even better prediction accuracy: 0.8000.992. The optimal samples were chosen depending on mechanical properties of the product (S<inf>0</inf> = 50.49mm<sup>2</sup>, Rm = 405.75Nmm<sup>-2</sup>, Rp = 302.49Nmm<sup>-2</sup>, A = 6.86%), using optimal operating parameters (V = 30 Hz, I = 250 A, T = 18 × 10<sup>-3</sup> At).
URI: https://scidar.kg.ac.rs/handle/123456789/9301
Type: article
DOI: 10.2320/matertrans.M2015058
ISSN: 1345-9678
SCOPUS: 2-s2.0-84929897648
Appears in Collections:Faculty of Technical Sciences, Čačak

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