Increasing mechanical properties of AA6082 by optimizing chemical compositions and processing parameters during extrusion

摘要

AA6082 aluminum alloy is used as constructionalrnmaterial for highly loaded automotive parts thus increasing ofrnyield stress and ductility is of a great importance. Database ofrnmechanical properties, processing parameters and chemicalrncompositions for hot extruded profiles of the alloy wasrnobtained. A CAE neural networks individual and spatialrnanalyses was performed to determine the influences ofrnprocessing parameters and alloying elements, e.g. Mg, Si, Mn,rnFe, and Cu, on mechanical properties. The results of thernanalyses revealed a new understanding of their influences, andrnthe possibility of increasing the mechanical properties ifrnprocessing parameters and correlations between chemicalrnelements were closer to the optimum values. Optimization wasrncarried out in order to increase yield stress and elongationrnsimultaneously. In practice, the obtained values forrnmechanical properties have confirmed the optimized values ofrninfluential parameters as correct.