Intelligent screening model for uranium alloy corrosion substitute alloys based on machine learning

IF 4.8 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Wanying Zhang, Xiaoyuan Wang, Yibo Ai, Weidong Zhang
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Abstract

Uranium is a highly important metal material in the nuclear industry. However, uranium is highly susceptible to corrosion in environmental media such as oxygen, hydrogen, or humid air. The corrosion and corrosion protection of uranium materials have always been a focal point for nuclear material researchers. This study aims to investigate the oxidation kinetics of U-2.5NB alloy in order to explore a new type of surrogate alloy that can replace this uranium alloy in terms of oxidation properties. Firstly, the important features of uranium alloy oxidation reactions are determined, and image clustering and image similarity comparison are used to screen the available surrogate alloy database, resulting in the selection of nine alloys with similar properties. Subsequently, an LSTM neural network with PSO optimization is employed to generate surrogate alloys for U-2.5NB alloy by training the chemical element mass fractions of the surrogate alloys, for the evaluation of their oxidation properties. The final results show an 80 ​% similarity compared to the reference standard, indicating the feasibility of the method used.

Abstract Image

基于机器学习的铀合金腐蚀替代合金智能筛选模型
铀是核工业中非常重要的金属材料。然而,铀在氧气、氢气或潮湿空气等环境介质中极易受到腐蚀。铀材料的腐蚀与防腐一直是核材料研究人员关注的焦点。本研究旨在研究铀-2.5 nb合金的氧化动力学,以探索一种新型的替代合金,以取代铀-2.5 nb合金的氧化性能。首先,确定铀合金氧化反应的重要特征,利用图像聚类和图像相似性比较筛选可用的替代合金数据库,最终选择出9种性能相近的合金。随后,采用基于粒子群优化的LSTM神经网络,通过训练替代合金的化学元素质量分数,生成U-2.5NB合金的替代合金,并对其氧化性能进行评价。最终结果与参考标准的相似度为80%,表明所采用方法的可行性。
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来源期刊
CiteScore
8.60
自引率
2.10%
发文量
2812
审稿时长
49 days
期刊介绍: Progress in Natural Science: Materials International provides scientists and engineers throughout the world with a central vehicle for the exchange and dissemination of basic theoretical studies and applied research of advanced materials. The emphasis is placed on original research, both analytical and experimental, which is of permanent interest to engineers and scientists, covering all aspects of new materials and technologies, such as, energy and environmental materials; advanced structural materials; advanced transportation materials, functional and electronic materials; nano-scale and amorphous materials; health and biological materials; materials modeling and simulation; materials characterization; and so on. The latest research achievements and innovative papers in basic theoretical studies and applied research of material science will be carefully selected and promptly reported. Thus, the aim of this Journal is to serve the global materials science and technology community with the latest research findings. As a service to readers, an international bibliography of recent publications in advanced materials is published bimonthly.
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