| About this Abstract |
| Meeting |
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
| Symposium
|
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
| Presentation Title |
Simultaneous Multi-Layer Topology and Toolpath Optimization |
| Author(s) |
Kaela Barrett, Zhichao Wang, Ali Tamijani |
| On-Site Speaker (Planned) |
Kaela Barrett |
| Abstract Scope |
The utilization of continuous fiber-reinforced composites (CFRC) in additive manufacturing offers opportunities for producing lightweight and high performance components. However, the inherent complexities associated with 3D printing CFRC, such as fiber path planning, pose significant challenges in achieving successful printability and structural integrity. This work presents a framework which simultaneously optimizes topology and toolpath for maximizing stiffness in CFRC parts. The proposed method integrates a density-based topology optimization approach using the Solid Orthotropic Material Penalization (SOMP) method with a structural load path method for fiber path optimization. The SOMP approach extends isotropic material optimization by including fiber orientation as a design variable, thus addressing material anisotropy in the stiffness matrix calculations. For fiber path optimization, the proposed method employs structural load paths whereby structural simulation is performed in each iteration and the load functions are obtained from stress distribution. Load paths are obtained from load functions, which then guide the fiber orientation along the paths in the major stress regions. The paths are alternated layer by layer to minimize turns and stress concentrations and reduce the total fiber volume, ensuring structural integrity is maintained. An example of the framework is demonstrated involving the design and fabrication of a 3D printed bracket using CF30ONYX material via FDM printing. The results highlight improvements in part volume and material efficiency. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |