| About this Abstract |
| Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Symposium
|
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Presentation Title |
A Digital Exploration of the Mechanical Property Space of Self-stabilizing Dynamic Printable Foams |
| Author(s) |
Brett Alexander Emery, Kelsey L. Snapp, Daniel Revier, Vivek Sarkar, Masa Nakura, Keith Brown, Jeff Lipton |
| On-Site Speaker (Planned) |
Brett Alexander Emery |
| Abstract Scope |
Foams are versatile by nature, and are used ubiquitously in applications ranging from padding and insulation to acoustic dampening. Previous work established that foams additively manufactured via Viscous Thread Printing (VTP) are capable of enabling a greater degree of control over many of the key mechanical properties of conventional foams such as Young’s modulus, fracture characteristics, and toughness while eliminating the need for chemical foaming agents. However, the relationship between input parameters and output properties was only accomplished via iterative empirical testing which limits generalizability and predictive control of desired output properties. Our work addresses this by combining high-throughput automated experimentation with machine learning to identify a subspace able to predict material behavior down to the stress-strain curve level. This predictive mapping was developed utilizing data collected from thermoplastic polyurethane (TPU) specimens and validated using polylactic acid (PLA) specimens suggesting inherent compatibility with any material suitable for filament-based 3D printing. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |