The 9th International Conference on Multiscale Materials Modeling

Presentation information

Symposium

F. From Microstructure to Properties: Mechanisms, Microstructure, Manufacturing

[SY-F9] Symposium F-9

Thu. Nov 1, 2018 9:45 AM - 11:00 AM Room3

Chair: Ernst Kozeschnik(Institute of Materials Science and Technology, TU Wien, Austria)

[SY-F9] Programmable Materials - tuning effective materials response

Invited

Peter Gumbsch1,2, Chris Eberl1,3, Claudio Findeisen1,2, Alexander Butz1, Jan Pagenkopf1,2 (1.Fraunhofer IWM, Germany, 2.Karlsruhe Institute of Technology (KIT), Germany, 3.Albert-Ludwigs-Universität Freiburg, Germany)

The design of materials and materials microstructures to specific materials properties requires mechanistic materials modelling over multiple length scales to avoid tedious trial-and-error procedures and excessive experimentation. The feasibility of such multiscale modelling has now been demonstrated in several cases including the explicit modelling of the microstructural evolution during processing. As an example, I will explain the manufacturing process of a steel component, for which the local microstructure and the resulting material properties after deep drawing can be predicted.

On the component level, locally different processing conditions result in locally different materials properties which are often dealt with as a nuisance. I would like to take this further and ask whether we are able to design materials such that their locally varying properties are used for component functionality. Conceptually this can be regarded as locally programming a material to achieve component functionality. It will require large-scale structural optimization, predictive materials models for materials with significantly varying properties. I will give examples how this can be achieved. The approach can most easily be demonstrated using additively built metamaterials. With such metamaterials one can even go further and design them such that their effective materials properties can still be changed after manufacturing to achieve intrinsically programmable materials.