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Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process

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2015
351.pdf (1.515Mb)
Authors
Patarić, Aleksandra
Gulišija, Zvonko
Jordović, Branka
Pezo, Lato
Mihailović, Marija
Stefanović, Milentije
Article (Published version)
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Abstract
In this study the mechanical properties (reduction of area, S-0, tensile strength, R-m, yield strength, R-p, 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 post-hoc 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(2)), 0.531-0.977, while ANN model performed even better prediction accuracy: 0.800-0.992. The optimal samples were chosen depending on mechanical properties of the product (S-0 = 50.49mm(...2), R-m = 405.75Nmm(-2), R-p = 302.49Nmm(-2), A = 6.86%), using optimal operating parameters (V = 30 Hz, I = 250 A, T = 18 x 10(-3) At).

Keywords:
prediction / neural network modeling / mechanical properties / casting / aluminum alloy
Source:
Materials Transactions, 2015, 56, 6, 835-839
Publisher:
  • Japan Inst Metals, Sendai
Funding / projects:
  • The development of casting technologies under the influence of electromagnetic field and technologies of hot plastic forming of 7000 series aluminium alloys for special purposes (RS-34002)
  • Osmotic dehydration of food - energy and ecological aspects of sustainable production (RS-31055)

DOI: 10.2320/matertrans.M2015058

ISSN: 1345-9678

WoS: 000357692200012

Scopus: 2-s2.0-84929897648
[ Google Scholar ]
2
URI
https://ritnms.itnms.ac.rs/handle/123456789/354
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Institut za tehnologiju nuklearnih i drugih mineralnih sirovina
TY  - JOUR
AU  - Patarić, Aleksandra
AU  - Gulišija, Zvonko
AU  - Jordović, Branka
AU  - Pezo, Lato
AU  - Mihailović, Marija
AU  - Stefanović, Milentije
PY  - 2015
UR  - https://ritnms.itnms.ac.rs/handle/123456789/354
AB  - In this study the mechanical properties (reduction of area, S-0, tensile strength, R-m, yield strength, R-p, 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 post-hoc 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(2)), 0.531-0.977, while ANN model performed even better prediction accuracy: 0.800-0.992. The optimal samples were chosen depending on mechanical properties of the product (S-0 = 50.49mm(2), R-m = 405.75Nmm(-2), R-p = 302.49Nmm(-2), A = 6.86%), using optimal operating parameters (V = 30 Hz, I = 250 A, T = 18 x 10(-3) At).
PB  - Japan Inst Metals, Sendai
T2  - Materials Transactions
T1  - Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process
EP  - 839
IS  - 6
SP  - 835
VL  - 56
DO  - 10.2320/matertrans.M2015058
UR  - conv_734
ER  - 
@article{
author = "Patarić, Aleksandra and Gulišija, Zvonko and Jordović, Branka and Pezo, Lato and Mihailović, Marija and Stefanović, Milentije",
year = "2015",
abstract = "In this study the mechanical properties (reduction of area, S-0, tensile strength, R-m, yield strength, R-p, 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 post-hoc 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(2)), 0.531-0.977, while ANN model performed even better prediction accuracy: 0.800-0.992. The optimal samples were chosen depending on mechanical properties of the product (S-0 = 50.49mm(2), R-m = 405.75Nmm(-2), R-p = 302.49Nmm(-2), A = 6.86%), using optimal operating parameters (V = 30 Hz, I = 250 A, T = 18 x 10(-3) At).",
publisher = "Japan Inst Metals, Sendai",
journal = "Materials Transactions",
title = "Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process",
pages = "839-835",
number = "6",
volume = "56",
doi = "10.2320/matertrans.M2015058",
url = "conv_734"
}
Patarić, A., Gulišija, Z., Jordović, B., Pezo, L., Mihailović, M.,& Stefanović, M.. (2015). Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process. in Materials Transactions
Japan Inst Metals, Sendai., 56(6), 835-839.
https://doi.org/10.2320/matertrans.M2015058
conv_734
Patarić A, Gulišija Z, Jordović B, Pezo L, Mihailović M, Stefanović M. Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process. in Materials Transactions. 2015;56(6):835-839.
doi:10.2320/matertrans.M2015058
conv_734 .
Patarić, Aleksandra, Gulišija, Zvonko, Jordović, Branka, Pezo, Lato, Mihailović, Marija, Stefanović, Milentije, "Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process" in Materials Transactions, 56, no. 6 (2015):835-839,
https://doi.org/10.2320/matertrans.M2015058 .,
conv_734 .

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