| 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 |
Advancements in Thermo-Viscoelastic Composite Process Modeling through FEA Optimization |
| Author(s) |
Ryan Scott Enos, Dianyun Zhang, Yao Sun |
| On-Site Speaker (Planned) |
Ryan Scott Enos |
| Abstract Scope |
Recent progress in composite manufacturing emphasizes the need to understand and control the viscoelastic behavior under varying thermal conditions. This study introduces a pioneering Finite Element Analysis (FEA) optimization framework to identify manufacturing conditions where thermo-viscoelasticity significantly influences composite material processing. By integrating multi-objective functions within FEA models including both thermo-viscoelastic and Cure Hardening Instantaneously Linear Elastic (CHILE) approaches, our methodology aims to delineate regions within the design space where viscoelastic behavior critically impact process modeling outcomes.
An enhanced aspect of the approach is the automated sequential coupling mechanism in the FEA-optimization process. Each design individual within the population may include multiple sets of sequential simulations. This enhancement allows for a more accurate representation of material behavior under process conditions, and side-by-side comparison of modeling approaches.
Furthermore, we have developed a fully parametric integrated processing model leveraging Abaqus Python, moving away from parametrized input file printf-strings for optimization. This model includes a geometric module to parametrically generate solid models, and a processing module, which takes the geometric model as input and generates processing simulations based on the processing parameters. This advancement facilitates a more flexible and powerful exploration of the design space, accommodating complex shapes and processing conditions without manual intervention.
Our ongoing research aims to identify key regions where thermo-viscoelastic considerations critically affect composite processing. By advancing an FEA optimization framework that includes thermo-viscoelastic and CHILE models, we aim to enhance process optimization understanding. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |