About this Abstract |
Meeting |
MS&T24: Materials Science & Technology
|
Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
Presentation Title |
Process-Structure-Property Modeling for Fatigue in Additive Manufacturing |
Author(s) |
Gary Whelan |
On-Site Speaker (Planned) |
Gary Whelan |
Abstract Scope |
QuesTek’s ICMDŽ platform is an integrated digital modeling and simulation workspace that can be used to design and optimize for additive manufacturing. AM provides several key advantages compared with traditional manufacturing for structural aerospace components such as supply chain resilience, preventing reliance on legacy casting tooling that may no longer be available, and part reduction by combining several components into one, 3D printed component, to reduce system complexity. A major barrier to the adoption of AM is the unique set of materials challenges associated with this advanced manufacturing technique. QuesTek has developed comprehensive modeling workflows to predict fatigue in printed engineering alloys combining CALPHAD to predict thermophysical properties, FEM/CFD to predict thermal history during printing, numerical simulation tools to predict grain growth to predict microstructure, and CPFEM for microstructure sensitive fatigue modeling. Combining these tools enables full powder to part fatigue predictions. |