In the above generalization, each connecting line is a known relationship of how one box influences another. Many times, these relationships can be described through models that exist in the literature, or simply, things that can be calculated with CALPHAD based tools. For example, one parameter that can influence yield strength is the precipitate size distribution. This can be calculated with Thermo-Calc given the chemistry and heat treatment schedule.
With a mapped-out systems chart in place, it is then possible to prioritize the property-structure-processing links and form an inductive goal to achieve the desired properties. This approach allows materials scientists to design materials with optimal properties, while also taking into consideration production costs and environmental impacts. This approach will be material specific, and requires a solid understanding and literature review of the material science concepts that govern its behavior. Once mapped out, however, it will be an invaluable tool to help to identify the best microstructural design, processing parameters, and property targets for a given application.
Many of the connections in the systems design chart above have a corresponding model or calculation that relates them to each other. Such models and linkages can be implemented easily using either the Property Model Calculator or the TC-Python SDK.
