Design and Application of a Quantitative Forecast Model for Determination of the Properties of Aluminum Alloys Used in Die Casting

In the field of casting aluminum alloys, integrated computational materials engineering (ICME) is a relatively emerging trend. Through mathematical modeling, new alloys that meet the requirements of the industry can be generated. However, the development of a new alloy with particular attributes is still an enormous challenge; testing the individual possible combinations is numerous. There are several dozen different metals, and even if the alloys are binary, there are many alternatives. This makes ICME a suitable and practical tool to predict the behavior of new alloys. In this paper, the presented model when used to characterize the behavior of alloys shows a reliability level superior to 90%. The mathematical description of the model is also presented. It can be used as a reliable tool for the selection of the desired elements in its composition letting the selection of the most important properties according to the industrial needs and standards.