Accelerated Design of High γ′ Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram

Accelerated Design of High γ′ Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram

This study combines machine learning and a phase diagram to accelerate the design of a cobalt-based superalloy with a composition of Co-30Ni-10Al-6Ta (at%). The results show that Co-30Ni-10Al-6Ta alloy exhibits high γ′ solvus temperature (1,215 °C) and high yield strength (1,220 Mpa at 25 °C), which...

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Bibliographic Details
Main Authors: Cuiping Wang, Xin Chen, Yuechao Chen, Jinxin Yu, Wensu Cai, Zhongfeng Chen, Xiang Yu, Yingju Li, Yuansheng Yang, Xingjun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Materials
Subjects:
machine learning
new cobalt-based superalloys
high strength
high γ' solvus temperature
high γ′ phase stability
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2022.882955/full

Internet

https://www.frontiersin.org/articles/10.3389/fmats.2022.882955/full

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