Abstract
In this paper, the Conditional Average Estimator artificial neural network (CAE ANN) was used to analyze the influence of chemical composition in conjunction with selected process parameters on the yield strength and elongation of an extruded 6082 aluminum alloy (AA6082) profile. Analysis focused on the optimization of mechanical properties as a function of casting temperature, casting speed, addition rate of alloy wire, ram speed, extrusion ratio, and number of extrusion strands on one side, and different contents of chemical elements, i.e., Si, Mn, Mg, and Fe, on the other side. The obtained results revealed very complex non-linear relationships between all of these parameters. Using the proposed approach, it was possible to identify the combinations of chemical composition and process parameters as well as their values for a simultaneous increase of yield strength and elongation of extruded profiles. These results are a contribution of the presented study in comparison with published research results of similar studies in this field. Application of the proposed approach, either in the research and/or in industrial aluminum production, suggests a further increase in the relevant mechanical properties.
Highlights
The second group includes results of analyses in which the change in the values of the input parameters leads to a simultaneous increase in yield strength and elongation
ANN) was applied to reveal the relationships between chemical compositions and selected process parameters on the yield strength and elongation of an extruded profile made of AA6082, with the aim of increasing both properties simultaneously
The analysis focused on the influences of different contents of Si, Mg, Fe, and Mn, etc., in relation to the casting temperature, casting speed, addition rate of alloy wire addition, different values of ram speed, extrusion ratio, number of extrusion strands, etc., on the above mechanical properties
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. AA6082 aluminum alloy is used for highly stressed structural elements’ applications in structures, such as trusses, bridges, cranes, and as other elements in the automotive industry. In the automotive industry, more and more lightweight components are required to produce lighter vehicles with lower fuel consumption and emissions. The simultaneous improvement of the relevant mechanical properties, i.e., yield strength and ductility (elongation), is very important [1,2]. The 6XXX series aluminum alloys contain Si and Mg as the main alloying elements
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