| 1 | The relationship between slip behavior and dislocation arrangement for large-size Mo-3Nb single crystal at room temperature显示文摘The slip behavior and mechanism of large-size Mo-3Nb single crystal have been investigated and disclosed comprehensively at room temperature by quasi-static compression with various strains.With the increase of deformation,the slip traces change from shallow non-uniform slip lines to dense and uniform slip bands.Different slip traces in the same deformation condition were observed,suggesting that the slip traces in the single crystal are controlled by different types and arrangement mechanisms of mobile dislocation.To clarify the relationship between slip behavior and dislocation arrangement,TEM and AFM analyses were performed.Significant discrepancy between the mobility of screw segments and edge segments caused by double cross-slip multiplication mechanism is the reason why different slip features were witnessed.During the whole slip deformation process,screw dislocations play a dominant role and they are inclined to form wall-substructures by interaction and entanglement.With the development of dislocation accumulation,the entangled dislocation walls evolve into dislocation cells with higher stability. | Benqi Jiao Qinyang Zhao Yongqing Zhao Laiping Li Zhongwu Hu Xuanqiao Gao Wen Zhang Jianfeng Li | 2021 | Journal of Materials Science & Technology2021，，33： | 1 |
| 2 | Improved sparse representation based on local preserving projection for the fault diagnosis of multivariable system显示文摘Dear editor,To satisfy the increasing requirements for safety and quality in industrial processes,process monitoring has been actively investigated in the past decade.The most critical aspects of this approach are the detection of faults in realtime and the diagnosis of fault types.Redundancy and coupling among these variables make it difficult to identify existing correlations between faults and variables,which hinders the quick detection of faults.Furthermore,the large amount of available monitoring data often obscures information about abnormalities and faults.Effective dimension reduction and feature extraction are imperative to address this challenge[1,2]. | Qiu TANG Benqi LI Yi CHAI Jianfeng QU Hao REN | 2021 | Science China(Information Sciences)2021，64，2： | 0 |
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