<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In this study, conditional average estimator neural networks (CAE NNs) were used for an analysis of the common influences of the cooling mode in relation to the ram speed, extrusion ratio, casting speed and casting temperature on the yield strength and the elongation of an extruded profile made from aluminium alloy (AA)6082. The obtained results from the analysis revealed very complex relationships between these parameters. In order to maximise the values for the yield strength and the elongation, the values for the ram speed, extrusion ratio, casting speed and casting temperature should be optimised in relation to the mode of cooling.</p></abstract>

In this study, conditional average estimator neural networks (CAE NNs) were used for an analysis of the common influences of the cooling mode in relation to the ram speed, extrusion ratio, casting speed and casting temperature on the yield strength and the elongation of an extruded profile made from aluminium alloy (AA)6082. The obtained results from the analysis revealed very complex relationships between these parameters. In order to maximise the values for the yield strength and the elongation, the values for the ram speed, extrusion ratio, casting speed and casting temperature should be optimised in relation to the mode of cooling.

Influence of cooling mode in relation to casting and extrusion parameters on mechanical properties of AA6082

Materials and Geoenvironment

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

In this study, conditional average estimator neural networks (CAE NNs) were used for an analysis of the common influences of the cooling mode in relation to...

Influence of cooling mode in relation to casting and extrusion parameters on mechanical properties of AA6082

Pubblicato online: 01 giu 2017

Pagine: 11 - 20

Ricevuto: 21 set 2016

Accettato: 22 nov 2016

DOI: https://doi.org/10.1515/rmzmag-2016-0022

Parole chiave
AA6082, intermetallic phases, hot extrusion, mechanical properties, neural networks

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Influence of cooling mode in relation to casting and extrusion parameters on mechanical properties of AA6082

Pubblicato online: 01 giu 2017

Pagine: 11 - 20

Ricevuto: 21 set 2016

Accettato: 22 nov 2016

DOI: https://doi.org/10.1515/rmzmag-2016-0022

Parole chiaveAA6082, intermetallic phases, hot extrusion, mechanical properties, neural networks

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
AA6082, intermetallic phases, hot extrusion, mechanical properties, neural networks