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Jingwu Ma, Renfeng Ma, Qi Pan, Xianjun Liang, Jianqing Wang and Xinxin Ni
With the rapid development of urbanization and industrialization, human activities have caused marine pollution in three ways: land source, air source, and sea source, leading to the problem of marine environments. Remote sensing, with its wide coverage ...
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Xiaobin Xu, Ruoyu Wang, Xianjun Yu, Guangfeng An, Ying Qiu and Baojie Liu
Three-dimensional blading is an efficient technique in compressor aerodynamic design, and its function mechanism in the cantilevered stator needs to be addressed. This paper focuses on the sweep and dihedral in the cantilevered stator and seeks to expose...
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Mingzhi Li, Xianjun Yu, Dejun Meng, Guangfeng An and Baojie Liu
Studies on the geometry variation-related compressor uncertainty quantification (UQ) have often used dimension reduction methods, such as the principal component analysis (PCA), for the modeling of deviations. However, in the PCA method, the main eigenmo...
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Xiaobin Xu, Baojie Liu, Xianjun Yu and Guangfeng An
The geometry of a compressor leading edge has an important effect on the aerodynamic performance at an off-designed incidence angle. The current geometric design methods of the leading edge are usually developed based on the flow characteristics at the d...
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Hengtao Shi and Xianjun Yu
This paper proposes a stage flow parameter analytical model for rapid evaluation of a counter-rotating compressor?s performance for design optimization and its application in the design of a transonic counter-rotating fan. In the first part, the velocity...
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Ruoyu Wang, Xianjun Yu, Ke Zhao, Baojie Liu and Guangfeng An
The variable area bypass injector (VABI) plays a crucial role in variable cycle engines by regulating the flow mixing process in complex bypass ducts, and low-dimensional theoretical models are the key to revealing its working mechanism while estimating ...
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Baojie Liu, Jiaxin Liu, Xianjun Yu and Guangfeng An
A high accuracy blade manufacture variation decomposition method was proposed to decompose the manufacture variations of compressor blades to systematic variation and non-systematic variation, which could help to clearly quantify the statistical characte...
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Hager Alhaag, Xianjun Yuan, Azizza Mala, Junfeng Bai and Tao Shao
Silage probiotics.
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Lin He, Xianjun Chen, Jun Li and Xiaofeng Xie
Manifold learning is a powerful dimensionality reduction tool for a hyperspectral image (HSI) classification to relieve the curse of dimensionality and to reveal the intrinsic low-dimensional manifold. However, a specific characteristic of HSIs, i.e., ir...
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Baojie Liu, Du Fu and Xianjun Yu
This paper presents a model for predicting the reference minimum-loss incidence and deviation angles of a blade arrangement with splitter vanes, which is probably a solution for future ultra-highly loaded axial compressor designs. The motivation of the m...
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