|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Additive Manufacturing Fatigue and Fracture V: Processing-Structure-Property Investigations and Application to Qualification
||Microstructure-based Model Validation and Predictions of Single-build-plate Fatigue Strength Sensitivity for Additively Manufactured Ti-6Al-4V
||Orion L. Kafka, Newell Moser, Jake Benzing, Nicholas Derimow, Nikolas Hrabe, Edward Garboczi
|On-Site Speaker (Planned)
||Orion L. Kafka
Microstructure-based structure-properties-performance modeling shows promise as a predictive tool for additive manufacturing (AM), where highly variable microstructures (due to processing sensitivity) drive highly variable performance, especially when compared with conventionally processed metals. This work starts by validating the predicted mechanical behavior from a crystal plasticity model implemented within three solution frameworks against electron backscatter diffraction and X-ray computed tomography measurements conducted during and after tensile tests to failure of AM Ti-6Al-4V. The relative fatigue strength of several parts manufactured on the same build plate are predicted, based on observed changes in microstructures and defects. Our results highlight the importance of understanding of the inter-dependency between all relevant variables (like build plate location) and the measurable impact on microstructure and mechanical behavior. Our work shows potential for enabling rapid part design and qualification, by using microstructure-based predictive modeling to help identify and mitigate possible risk factors before conducting a physical build.