| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Microstructural Template Consisting of a Face-Centered Cubic Matrix with Ordered Precipitates: Microstructural Evolution and Properties
|
| Presentation Title |
The Quantitative Model for Heat Treatment Parameters and Gamma Prime Variations on Nickel-base Superalloys |
| Author(s) |
Nishan M. Senanayake, Jennifer L.W. Carter |
| On-Site Speaker (Planned) |
Jennifer L.W. Carter |
| Abstract Scope |
Accurate measurements of the microstructure produced from different processing paths are foundational to understanding processing|structure|performance (P|S|P) of Ni-base superalloys systems.Time-dependent process models must be calibrated from statistically significant experimental measures of microstructure and performance from specific alloys; requiring high-throughput methods of analysis.In this work, we will demonstrate a predictive P|S|P model to design processing paths for desired microstructure and performance of nickel-based alloy ME3.This physics-based statistical model enables both predictive capabilities (i.e., performance from processing) but also the design of a microstructure from the measured performanceThis data-driven approach relies on training data from high-throughput measurements of γ′ distributions and indentation strength ME3 samples that underwent various heat treatment parameters.A k-fold cross-validation approach, coupled with R-squared statistics was used to validate the P|S|P model. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |