DataVXJournal of Materials SciencePaper
journal article·2023-07

Design of novel Ni-based superalloys with better oxidation resistance with the aid of machine learning

Xingjun Duan, Hui Xu, Enhui Wang, Chunyu Guo, Zhi Fang, Tao Yang, Yunsong Zhao, Xinmei Hou

Journal of Materials Science· Volume 58· Issue 27
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Source abstract

Abstract

Oxidation resistance is a critical criterion to evaluate the service life of Ni-based superalloys. In this work, the quantitative relationship between various factors including temperature, time and alloying element compositions and oxidation resistance of Ni-based superalloys is established with the aid of machine learning. The influence weight of various factors and the coupling effect among different alloying elements are clarified and discussed. The results show that Ti, Cr and Al are the most important elements affecting the oxidation resistance of Ni-based superalloys. The effect of Ti varies with the content, while Mo and Nb are detrimental to the oxidation resistance of Ni-based superalloys. The coupling effect of Cr and Al makes Ni-based superalloys possess better oxidation resistance. Based on these, novel Ni-based superalloys are screened out, which exhibit better oxidation resistance than commercial alloys. This work can provide new idea to accelerate the design of novel Ni-based superalloys with better comprehensive properties.
Source: expertdata · Quality: candidate unverified · Source record ↗

Research context

Metals & alloys

OpenAlex topics: High Temperature Alloys and Creep · High-Temperature Coating Behaviors · Advanced Materials Characterization Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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