| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
Joint Sessions of AIM, ICME, & 3DMS
|
| Presentation Title |
Materials Microstructure Design Integrated With Image-Based Simulation |
| Author(s) |
Nelly Nunheim, Oliver Rimmel, Mike Marsh |
| On-Site Speaker (Planned) |
Nelly Nunheim |
| Abstract Scope |
Imaging workflows that create digital twins of physical samples and then computationally measure the material properties of the samples through simulation are well-demonstrated and valuable characterization techniques. It is desirable to then digitally adjust the parameters of the sample (e.g. fiber volume content, fiber orientation, void content, etc) to derive new materials with improved properties. Here we show how to make digital twins of empirical samples, statistical twins with identical parameters, siblings with single-parameter changes, and cousins with multi-parameter changes. This approach informs the engineering design team of the material properties of a wide variety of samples. In this example, we systematically vary fiber volume content and void content in a fiber-reinforced composites application and solve the mechanical properties for each digital experimental variant, reaffirming the “Digital Transformation” pattern that provides clear economic and scalability advantages. The framework shown extends to conduction, flow, acoustic, and other properties characterization. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |