基于人工神经网络模型的多主非晶合金复合材料相选择预测及组分确定

IF 4.7 1区材料科学 Q1 METALLURGY & METALLURGICAL ENGINEERING

Transactions of Nonferrous Metals Society of China Pub Date : 2025-05-01 DOI:10.1016/S1003-6326(25)66766-5

Lin WANG , Pei-you LI , Wei ZHANG , Xiao-ling FU , Fang-yi WAN , Yong-shan WANG , Lin-sen SHU , Long-quan YONG

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引用次数: 0

摘要

采用k-最近邻算法（KNN）和人工神经网络算法（ANN）预测相形成概率。此外，利用人工神经网络预测了40种未知非晶合金复合材料（AACs）中Ti、Cu、Ni和Hf的组成范围。然后通过x射线衍射（XRD）和高分辨率透射电镜（HRTEM）对预测的合金进行了实验验证。ANN对AM和IM相的预测精度分别为93.12%和85.16%，而KNN对AM和IM相的预测精度分别为93%和84%。观察到，当Ti、Cu、Ni、Hf的含量在32.7 ~ 34.5 at范围内时。%, 16.4−17.3 at。%, 30.9−32.7 at。%, 17.3−18.3 at。%，则更容易形成AACs。XRD和HRTEM结果表明，Ti34Cu17Ni31.36Hf17.64和Ti36Cu18Ni29.44Hf16.56合金均为良好的AACs，与预测的非晶态合金成分基本一致。

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Phase selection prediction and component determination of multiple-principal amorphous alloy composites based on artificial neural network model

The probability of phase formation was predicted using k-nearest neighbor algorithm (KNN) and artificial neural network algorithm (ANN). Additionally, the composition ranges of Ti, Cu, Ni, and Hf in 40 unknown amorphous alloy composites (AACs) were predicted using ANN. The predicted alloys were then experimentally verified through X-ray diffraction (XRD) and high-resolution transmission electron microscopy (HRTEM). The prediction accuracies of the ANN for AM and IM phases are 93.12% and 85.16%, respectively, while the prediction accuracies of KNN for AM and IM phases are 93% and 84%, respectively. It is observed that when the contents of Ti, Cu, Ni, and Hf fall within the ranges of 32.7−34.5 at.%, 16.4−17.3 at.%, 30.9−32.7 at.%, and 17.3−18.3 at.%, respectively, it is more likely to form AACs. Based on the results of XRD and HRTEM, the Ti₃₄Cu₁₇Ni_31.36Hf_17.64 and Ti₃₆Cu₁₈Ni_29.44Hf_16.56 alloys are identified as good AACs, which are in closely consistent with the predicted amorphous alloy compositions.

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来源期刊

Transactions of Nonferrous Metals Society of China 工程技术-冶金工程

CiteScore

7.40

自引率

17.80%

发文量

8456

审稿时长

3.6 months

期刊介绍： The Transactions of Nonferrous Metals Society of China (Trans. Nonferrous Met. Soc. China), founded in 1991 and sponsored by The Nonferrous Metals Society of China, is published monthly now and mainly contains reports of original research which reflect the new progresses in the field of nonferrous metals science and technology, including mineral processing, extraction metallurgy, metallic materials and heat treatments, metal working, physical metallurgy, powder metallurgy, with the emphasis on fundamental science. It is the unique preeminent publication in English for scientists, engineers, under/post-graduates on the field of nonferrous metals industry. This journal is covered by many famous abstract/index systems and databases such as SCI Expanded, Ei Compendex Plus, INSPEC, CA, METADEX, AJ and JICST.