About this Abstract |
| Meeting |
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
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| Symposium
|
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
|
| Presentation Title |
AI-Assisted Process Optimization for Multi-Material Thermoplastic 3D Printing and Charpy Impact Analysis |
| Author(s) |
Kazi Md Masum Billah, Caleb Canon, Josiah White, Safikah Nidhi |
| On-Site Speaker (Planned) |
Caleb Canon |
| Abstract Scope |
Multi-material thermoplastic structures were fabricated using fused filament fabrication by combining thermoplastic polyurethane (TPU) and polylactic acid (PLA) to investigate their impact behavior. In the printed specimens, TPU was embedded as the middle layer, while PLA formed the top and bottom layers to create a sandwich-like structure. The TPU volume fraction was varied from 10% to 50% to evaluate its influence on energy absorption and mechanical performance. Charpy impact testing was conducted to characterize the toughness and fracture behavior of the fabricated specimens. The study further explores the application of artificial intelligence (AI) techniques to analyze processing parameters and predict impact performance based on material composition. Results demonstrate that increasing TPU content enhances impact resistance and energy absorption capability, while maintaining structural rigidity through the PLA outer layers. This work highlights the potential of AI-assisted multi-material additive manufacturing for developing tailored lightweight structures with improved mechanical performance. |
| Proceedings Inclusion? |
Undecided |