<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

Data publikacji: 01 cze 2017

Zakres stron: 11 - 20

Otrzymano: 21 wrz 2016

Przyjęty: 22 lis 2016

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

Słowa kluczowe
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

Data publikacji: 01 cze 2017

Zakres stron: 11 - 20

Otrzymano: 21 wrz 2016

Przyjęty: 22 lis 2016

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

Słowa kluczoweAA6082, intermetallic phases, hot extrusion, mechanical properties, neural networks

© 2017

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

Słowa kluczowe
AA6082, intermetallic phases, hot extrusion, mechanical properties, neural networks