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Analysis of Mechanical Properties of 2xxx T3 and T8 Aluminum Extruded Rods by Means of Neural Networks


Duplančić, Igor; Lela, Branimir; Vlak, Frane; Prgin, Jere
Analysis of Mechanical Properties of 2xxx T3 and T8 Aluminum Extruded Rods by Means of Neural Networks // Proceedings of ninth International Aluminum Extrusion Technology Seminar Vol. II / ET Foundation (ur.).
Orlando Florida: ET Foundation, 2008. str. 377-386 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Analysis of Mechanical Properties of 2xxx T3 and T8 Aluminum Extruded Rods by Means of Neural Networks

Autori
Duplančić, Igor ; Lela, Branimir ; Vlak, Frane ; Prgin, Jere

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of ninth International Aluminum Extrusion Technology Seminar Vol. II / ET Foundation - Orlando Florida : ET Foundation, 2008, 377-386

Skup
International Aluminum Extrusion Technology Seminar

Mjesto i datum
Orlando Florida, USA, 13-16.05.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Extrusion; Mechanical properties; Aluminum alloys; Neural network

Sažetak
ABSTRACT Production of 2XXX aluminum alloys solid sections is related with several mutually connected metal forming and thermal treatment processes. Experience accumulated in extrusion plant through the years of the production of these sections usually results with databases. These databases offer possibilities to relate sections properties with process parameters. This paper describes the procedure for analysis of mechanical properties of 2011 bars in both T3 and T8 tempers. For these purpose, a number of extrusion processes on horizontal 50 MN extrusion press were analyzed. Depending on the bar dimensions, the solid dies having one, two or more hordeles were employed. After extrusion, all bars were cold drawn with various reductions. All bars were thermally treated to appropriate temper. In this way, a database was established. An artificial neural network (ANN) model has been developed to relate mechanical properties to bar dimensions and cold drawing reduction for both tempers. After the ANN training and testing, an analysis was conducted in order to show how the mechanical properties of extruded bars depend on the particular aforementioned parameters. Optimization was conducted for the purpose of finding the optimal value of cold drawing reduction for achieving the best mechanical properties. Result of these investigations can be useful for industrial practice.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Projekt / tema
023-0231744-3010 - Deplanacija i distorzija tankostjenih presjeka (Radoslav Pavazza, )
023-0231744-3113 - Inteligentni i evolucijski algoritmi optimizacije materijala i konstrukcija (Damir Vučina, )
023-0231926-1748 - UNAPREĐENJE SVOJSTAVA I POSTUPAKA PRERADE ALUMINIJSKIH LEGURA (Igor Duplančić, )

Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split