| About this Abstract |
| Meeting |
MS&T22: Materials Science & Technology
|
| Symposium
|
Inference-based Approaches for Material Discovery and Property Optimisation
|
| Presentation Title |
Using Local Thermal Transport Property to Characterize Microstructure of Materials from Additive and Advanced Manufacturing Technologies |
| Author(s) |
Zilong Hua, Jorgen Rufner, Arin Preston, Amey Khanolkar, Cody Dennett, Robert Schley, Caleb Picklesimer, Asa Monson, Michael McMurtrey, David Hurley |
| On-Site Speaker (Planned) |
Zilong Hua |
| Abstract Scope |
Additive and Advanced Manufacturing technologies have been widely used to develop advanced materials and produce components with complicated geometry. By raising the temperature of the raw materials in a short time period, a significant temperature gradient is created across the specimen, causing microstructure inhomogeneity. In this talk, we use photothermal radiometry to locally measure thermal diffusivity of Additive and Advanced Manufacturing produced materials, the results of which can be correlated to microstructure variation. Measurements were conducted across a series of samples with different porosity, and on individual samples along the radial direction. Based on the similar technique, an instrument is under development to perform in situ thermal property measurements, with the ultimate objective to provide the real-time feedback control of Spark Plasma Sintering. |