| 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 |
Understanding Fatigue Behavior of Additively Manufactured Compression Molded Short Fiber Reinforced Thermoplastics with Process Defects. |
| Author(s) |
Pharindra Pathak, Suhasini Gururaja |
| On-Site Speaker (Planned) |
Pharindra Pathak |
| Abstract Scope |
Composite structures are integral to various critical applications, but manufacturing defects such as porosity and voids often compromise their performance, leading to early failure under fatigue loads. Recognizing the widespread occurrence of such defects, there is an urgent need for swift and reliable methods to assess the fatigue limits of composites. Our study presents an innovative accelerated testing procedure that leverages the self-heating of materials, observable through passive infrared thermography (IRT), to evaluate the fatigue limit. We meticulously identified process-induced defects using ultrasonic inspection and analyzed them extensively with micro-computed tomography (m-CT).
Our research meticulously tracked the progression of these defects in an interrupted loading test, focusing on a 20wt.% chopped carbon fiber composite with an ABS matrix (CF/ABS), a product of additive manufacturing followed by compression molding (AM-CM) from Oak Ridge National Laboratory (ORNL). Leveraging these observations, we developed a thermo-mechanical viscoelastic continuum damage mechanics (CDM) model via a user material model (UMAT) within the Abaqus. This model forecasts fatigue damage accumulation and estimates the lifespan of short fiber-reinforced thermoplastic composites (SFTCs) that contain process defects. The model's foundation is a three-dimensional repeating unit cell (3D-RUC) that respects periodic boundary conditions (PBCs). It integrates the detailed microstructure of the SFTC, ascertained by m-CT studies. Our combined numerical-experimental approach promises to be a powerful predictive tool for understanding and predicting fatigue damage evolution in composite materials, offering insights for enhanced design and application of composites.
Keywords: AM-CM, IRT, Fatigue, CDM, damage |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |