About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing: Design, Materials, Manufacturing, Challenges and Applications
|
| Presentation Title |
Optimizing Three-Dimensional Topologies of Random Materials with Short-Range Order |
| Author(s) |
Aayushi Chauhan, Christopher Allan Schuh |
| On-Site Speaker (Planned) |
Aayushi Chauhan |
| Abstract Scope |
Additive manufacturing permits the realization of complex tailored composites with voxel-by-voxel control, prompting research on how such structures should be optimally designed. Arrangements that are random at long-range but exhibiting order at short-range represent a vast design space of fault-tolerant materials, including notably “random metamaterial” composites with remarkable effective properties, novel functionalities or tunable mechanical response. Percolation theory is the key to quantitively study and map such random design spaces by determining how far a random structure lies from the percolation threshold in configuration space. This distance in turn provides essentially complete information on the scaling of geometrical properties away from the threshold. However, knowledge on how the percolation threshold varies with arbitrary short-range correlations in random systems is incomplete for several topologies of interest. The present work systematically probes the structural design space of binary composites with short range correlations for important topologies in 2- and 3-dimensions. |