Subjects: Mechanics >> Basic Mechanics submitted time 2022-12-21 Cooperative journals: 《应用力学学报》
Abstract：
In order to study the effect of gradient interface or layered gradient on the mechanical properties of Cu/WCP functionally graded materials,Cu/WCP composites with WC volume contents of 3%,6%,9%,12%,and 15% were prepared by powder metallurgy.The effect of WC volume content on the tensile properties of Cu/WCP composites was analyzed by using digital image correlation method combined with tensile experiments,and the deformation characteristics and mechanical behavior of the five-layer Cu/WCP functional gradient material under the tensile action along the layer direction were simulated by finite element method.The tensile experimental results showed that the incorporation of WC particles significantly improved the stiffness and strength of Cu/WCP composites,but the plastic deformation ability of Cu/WCP composites decreased significantly with the increase of WC particle content,and the strain of 3% WC volume fraction Cu/WCP composites was 25.45 times that of 15% WC volume fraction Cu/WCP composites when the stress was 214 MPa.The results of finite element analysis showed that the plastic deformation and strain rate within each layer of the five-layer Cu/WCP functional gradient material presented non-uniformity under the tensile action along the layer direction,and the plastic deformation and strain rate increased gradually in the direction of WC content decrease.In addition,the existence of the gradient interface near the gradient interface along the direction of WC content decrease had a significant inhibitory effect on the increase of plastic strain rate.This study has certain reference for the design of metal-based functional gradient functional materials and their applications.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-06-19 Cooperative journals: 《计算机应用研究》
Abstract： To improve the robustness of the existing multi-spectral image registration algorithms, this paper proposed a new algorithm based on multi-scale support region descriptors. Firstly, the algorithm extracted the Harris corner points as feature points. Secondly, it constructed the descriptor by combining the edge direction histograms calculated respectively in the support regions of different sizes around a feature point. Then, the similarity criterion was the Euclidean distance, and it obtained the initial matches by the ratio method. Finally, this paper proposed an outlier removal algorithm based on RANSAC algorithm. The experimental results show that the proposed algorithm can match multi-spectral images effectively, be more robust than the existing algorithms, and obtain more matches that are correct.
Subjects: Physics >> Electromagnetism, Optics, Acoustics, Heat Transfer, Classical Mechanics, and Fluid Dynamics Subjects: Information Science and Systems Science >> Basic Disciplines of Information Science and Systems Science Subjects: Mathematics >> Mathematics （General） submitted time 2017-11-26
Abstract： The infrared imaging grayscale variation caused by the influence of atmosphere on infrared radiation transmission is a problem that infrared target tracking application needs to cope with. The object of this paper is to model the law of infrared imaging grayscale variation in Lie group, which is important to design an efficient and robust target tracking algorithm. This paper firstly analyzes the infrared radiation transmission model, and then derives the brightness model of infrared imaging by considering the mechanism of infrared imaging. Furthermore, it is theoretically proved that the infrared imaging grayscale variation caused by the atmosphere obeys to the Lie group structure, and a non-Euclidean mathematical representation of the infrared imaging grayscale variation is proposed. Finally, according to the infrared imaging grayscale variation model, the field experimental data collected under different environments are fitted, and the regression analysis results demonstrate the correctness of the model, which validates the rationality of the Lie group representation of the infrared imaging grayscale variation.
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