Yuan Dong , Lu Wang , Renquan Wang , Ziyuyang Zheng , Keji Yue , Liyu Zhou , Jun Li , Ying Liu
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引用次数: 0
Abstract
This paper reported a hybrid strategy leveraging machine learning and experimental methods for high-throughput screening for compounds with erosion resistance to Nd-Fe-B melts. With structure and energy features, nine compounds were selected by the surrogate models, and the erosion thresholds were obtained. The failure behavior and mechanism of h-BN and MoB2 were discussed, and BN-TiB2 composite with excellent stability was discovered to solve the exfoliation problem faced by the commercial quenching nozzle. This study not only provided alternatives for the quenching nozzle, but also offered a high throughput method for screening materials with erosion resistance to alloy melt.
期刊介绍：
Corrosion occurrence and its practical control encompass a vast array of scientific knowledge. Corrosion Science endeavors to serve as the conduit for the exchange of ideas, developments, and research across all facets of this field, encompassing both metallic and non-metallic corrosion. The scope of this international journal is broad and inclusive. Published papers span from highly theoretical inquiries to essentially practical applications, covering diverse areas such as high-temperature oxidation, passivity, anodic oxidation, biochemical corrosion, stress corrosion cracking, and corrosion control mechanisms and methodologies.
This journal publishes original papers and critical reviews across the spectrum of pure and applied corrosion, material degradation, and surface science and engineering. It serves as a crucial link connecting metallurgists, materials scientists, and researchers investigating corrosion and degradation phenomena. Join us in advancing knowledge and understanding in the vital field of corrosion science.
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