Modifying element diffusion pathway by transition layer structure in high-entropy alloy particle reinforced Cu matrix composites

The Al0.3CoCrFeNi high-entropy alloy(HEA)particles reinforced Cu matrix composites(CMCs)were fabricated by mechanical alloying and sintering.Transition layer structure was obtained by multi-step ball milling to investigate the related influence on element diffusion behavior and wear properties of CMCs.The results indicate that a new Cu transition layer is generated,and the thickness is about 5μm.Cr element diffuses into the interface via the transition layer,which forms the complex oxide.Because of the structure of Cu transition layer,the diffusion rates of Ni,Co and Fe increase,especially the Ni element.The wear resistance of CMCs is improved by 30%,which is due to the improvement of interface bonding strength,compared with the CMCs without transition layer.This method is applicable to the development of advanced HEA reinforced metallic matrix composites.

Composition design of high yield strength points in single-phase Co-Cr-Fe-Ni-Mo multi-principal element alloys system based on electronegativity,thermodynamic calculations,and machine learning

A method which combines electronegativity difference,CALculation of PHAse Diagrams(CALPHAD) and machine learning has been proposed to efficiently screen the high yield strength regions in Co-Cr-Fe-Ni-Mo multi-component phase diagram.First,the single-phase region at a certain annealing temperature is obtained by combining CALPHAD method and machine learning,to avoid the formation of brittle phases.Then high yield strength points in the single-phase region are selected by electronegativity difference.The yield strength and plastic deformation behavior of the designed Co_(14)Cr_(30)Ni_(50)Mo_(6)alloy are measured to evaluate the proposed method.The validation experiments indicate this method is effective to predict high yield strength points in the whole compositional space.Meanwhile,the interactions between the high density of shear bands and dislocations contribute to the high ductility and good work hardening ability of Co_(14)Cr_(30)Ni_(50)Mo_(6)alloy.The method is helpful and instructive to property-oriented compositional design for multi-principal element alloys.

基于哨兵二号遥感影像的近海养殖区提取方法研究

卫星遥感为近海养殖区信息的精确提取提供了有效的技术手段,对实现海水养殖业的科学监管具有重要意义。现有光学遥感手段对养殖区信息的提取多侧重于影像空间特征的使用,对于光谱和空间信息的结合在养殖区特征表达与判别提取方面的综合利用还有待进一步挖掘。本文利用哨兵二号卫星遥感影像,针对近海养殖区小样本、多维度、水体组分复杂等特点,提出了一种光谱和空间信息结合的养殖区提取算法。首先通过指数计算增强养殖区目标的特征表达能力;在此基础上采用支持向量机模型进行光谱信息的初分类;最后结合马尔科夫随机场模型对初分类结果进行后处理,综合利用谱空信息实现近海养殖区信息的精准提取。该算法在研究区达到了94.46%的整体分类精度,相较于仅利用光谱信息和纹理特征增强的方法,各类养殖区的提取精度均有明显提升,提取结果中海水与浮筏的混分现象也得到了有效改善。本文算法模型为近海养殖区的自动提取提供了一种新思路。