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        Crystallization Toughening of Fe-Based Amorphous Alloys Under Strain–Heat Coupling Effect

        Wei Zhao,Jiacheng Yu,Mindong Hu,Honglei Hu,Junting Luo,Gong Li 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.1

        The crystallization toughening of Fe-based amorphous alloys under strain–heat coupling effect was studied. This effectinvolved annealing crystallization along with uniform plastic deformation under three-direction compressive stress. Resultsshowed that the Fe-based amorphous alloys subjected to strain–heat coupling action had greater toughening effect than thosesubjected to single low-temperature annealing. The difference was due to the change in morphology of the precipitated crystalphase and the substantial amount of free volume introduced into an amorphous matrix through uniform plastic deformation,which was conducive to the proliferation of shear bands. However, excessive plastic deformation led to direct fracture ofmaterials after elastic deformation.

      • A Fast Detection and Recognition Algorithm for Pedestrian at Night Based on Entropy Weight Fast Support Vector Machine

        Liang Rui,Wei Honglei,Zhu Qingxin,Liao Shujiao,Deng Hongyao 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.5

        In allusion to such problems as real-time requirement dissatisfaction and significant recognition difference caused by dimension difference existing in the imaging and recognition algorithm for pedestrian in dark scene, a fast head detection and recognition method for pedestrian at night based on fast support vector machine (FC-SVM) algorithm optimization and entropy weight is established in this paper according to relevant principle of statistics. Based on entropy weight, this method aims at improving the extraction process based on histogram gradient features in order to establish threebranch SVM for the deep recognition of pedestrian at night; meanwhile, FC-SVM algorithm is combined to optimize the recognition calculation overhead in order to ensure the real-time property of the recognition algorithm. Furthermore, the falsely detected pedestrians are evaluated on the basis of the head detection mode so as to improve pedestrian imaging matching accuracy. The simulation result shows that this method can not only effectively recognize FIR target of pedestrian at night, but also effectively adapt to such different application environments as urban and suburban areas on the basis of ensuring the real-time requirement for pedestrian recognition, thus presenting good practicability.

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        Predictions of Bending Modal Properties of the 3D Braided Composites with the Homogeneous Theoretical Model

        Tao Liu,Jingjing Dong,Chaonan Ye,Xianyan Wu,Wei Fan,Linlin Lu,Jingyu Kang,Xingzhong Gao,Baozhong Sun,Honglei Yi 한국섬유공학회 2022 Fibers and polymers Vol.23 No.12

        In this work, the bending modal properties of three-dimensional (3D) braided composites were investigated withthe experimental and numerical methods. Three braided angles were selected to study the braided angle effect on the modalbehavior of 3D braided composites. According to the experimental parameters, a homogeneous model containing the interior,surface and corner representative unit cells of the braided composites were proposed to compute the elastic constants of eachcomposite. Besides, the fiber breakage defects were introduced to the homogeneous model to improve the accuracy ofpredicting the modal behavior of the braided composite. The results indicate that the increase of the braided angle and thefiber breakage defects could apparently reduce the natural frequency of the braided composite. The modal propertiessimulated by the homogeneous models containing some fiber breakage defects could fit well with the correspondingexperimental results. The proposed method to create the homogenous model can be used to predict the modal behavior of the3D braided composites.

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