| 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 |
Topology-Driven Information Embedding in Structural Components |
| Author(s) |
Karim Ashraf ElSayed, Andres Tovar, Jitesh Panchal |
| On-Site Speaker (Planned) |
Karim Ashraf ElSayed |
| Abstract Scope |
Information embedding within manufactured parts is an increasingly important problem that aims to address traceability and counterfeiting. However, existing literature addresses information embedding independently of part's functional performance. Towards overcoming this limitation, we develop a computational method that optimizes structural performance and information-carrying capacity (ICC) in manufactured parts. We investigate embedding 2D codes into components using a multi-objective optimization framework that combines topology optimization and Bayesian optimization. This approach aims to maximize mechanical performance and ICC, while also enhancing the structural integration of information through adaptive penalization. This adjustment ensures that embedded codes are close to solid regions. Our results show that mechanical performance sensitivity varies with the volume fraction of the topology, with lower fractions exhibiting greater sensitivity. We also present a Pareto frontier to illustrate the trade-offs between ICC and structural performance. The optimally designed parts are fabricated using Fused Deposition Modeling, validating the practicality of our approach. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |