About this Abstract |
Meeting |
Superalloys 2021
|
Symposium
|
Superalloys 2021
|
Presentation Title |
Development of a Prediction Model and Process-microstructure-property Database on Forging and Heat Treatment of Superalloy 720Li |
Author(s) |
Nobufumi Ueshima, Chuya Aoki, Toshio Osada, Satoko Horikoshi, Akira Yanagida, Hideyuki Murakami, Toshiki Ishida, Yoko Yamabe-Mitarai, Katsunari Oikawa, Nobuki Yukawa, Jun Yanagimoto |
On-Site Speaker (Planned) |
Nobufumi Ueshima |
Abstract Scope |
A process-microstructure-property database on forging and heat treatment of superalloy 720Li was established by high precision large-scale 1,500 ton forging simulator and laboratory-scale forging simulator. The database was utilized to determine the parameters of flow stress, microstructure and strength prediction models. The models were integrated to CAE software to predict process-microstructure-property relationships. In the integrated model, the stress, strain and temperature distributions and their temporal development are calculated by using flow stress model and thermophysical properties. The calculated stress, strain and temperature data are inputted into the microstructure model. The microstructure model considers grain growth, recrystallization and precipitation of ã' and calculates the temporal evolution of microstructural features. The strength model considers solution, grain boundary and precipitation strengthening and calculates high-temperature 0.2% tensile proof stress, which is related to creep and low cycle fatigue properties, from the calculated microstructural features. The integrated model successfully predicted the load, microstructure and strength distribution of a prototype forging experiment conducted by the Hitachi Metals 6,000 ton forging machine. The integrated model is a promising tool to design the forging and heat-treatment process of the alloy. |
Proceedings Inclusion? |
Undecided |