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

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. [GRAPHICS] .

Automated summary

In this study, the quantitative relationship between various factors and the oxidation resistance of Ni-based superalloys was established using machine learning. The importance of different alloying elements and their coupling effect were clarified and discussed. It was found that Ti, Cr, and Al are the most important elements affecting the oxidation resistance, while Mo and Nb have a detrimental effect. Novel Ni-based superalloys with better oxidation resistance than commercial alloys were screened out based on these findings. This work provides new ideas for accelerating the design of novel Ni-based superalloys with better comprehensive properties.