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Dive into the research topics where Zhou Xun is active.

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Featured researches published by Zhou Xun.


ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition | 2017

Influence of Tailored Boundary Layer Suction on Aerodynamic Performance in Bowed Compressor Cascades

Ding Jun; Du Xin; Chen Shaowen; Zhou Xun; Wang Songtao; Shen Jiaqi

The impact of boundary layer suction on the aerodynamic performance of bowed compressor cascades is discussed in this paper. Preliminary studies are conducted in the context of a highly loaded compressor cascade with peak diffusion factor of 0.60 and camber angle of 60 degrees. Comparison between numerical simulation results and experiment data shows that blade bowing may well help to modify the radial migration of flow features and prevent the blade suction surface boundary layer from separating. It is noteworthy that there exists an optimum blade bowing design with different operating conditions to increase the incidence range and reduce the loss over the incidence range.With the introduction of the boundary layer suction, the blade design becomes more complicated. This paper, therefore, conducts a thorough numerical study on design parameters including bowed blade geometry, aspirated flow fraction, and aspiration slot location based on mechanical simplicity and fabrication constraints. For a better understanding of the flow physics, the aspiration slot and plenum are included as part of the computational domain. The aspirated fluid passes into the plenum and is removed through both the hub and the shroud of the blade. From there it can be dumped overboard or carried to another point in the engine to be used as cooling air. Without considering the stagnation pressure loss of the aspirated flow, the blade lose can be sustainably decreased with the growing aspirated flow fractions from 0.5% to 2.5% of the inlet mass flow. However, when the aspirated flow’s effect on stagnation pressure loss is properly quantified, the blade’s loss decreasing trend will be relatively stable or even reversed with the aspirated flow fraction increasing.The calculations show that the application of aspiration on the flow path needs to be investigated and combined with blade bowing to partly counter the negative impacts with the application of aspiration. The application of blade bowing on aspirated blade makes it possible to achieve the same loss reduction by using lower amounts of aspirated flow. In other words, the increase in spanwise pressure gradient near the endwalls can be further utilized to reduce the effects of secondary flow by bowed blade with the same aspirated flow fraction.Aspiration should not be isolated from blade bowing, the optimum blade bowing angle is different on the basis of different aspirated flow fraction and aspiration slot location. The aspiration slot location is determined by the flow phenomena such as the three-dimensional separation in the cascade corner. In consideration of the stagnation pressure loss from the aspirated flow, aspiration inside of the three-dimensional separation region has a beneficial impact on the blade loss. Conversely, it will quickly lose its effectiveness, or even lead to slight deterioration of the aerodynamic performance if aspiration location is in the midspan, outside the three-dimensional separation region.Copyright


international conference on intelligent computation technology and automation | 2015

Heat Transfer and Flow in Rotating U-Shaped Cooling Passage with 45° Ribs

Wang Longfei; Zhou Xun; Wang Songtao; Luo Lei; Wen Fengbo

This paper investigates heat transfer and flow of U-shaped cooling passage with ribs in gas turbine blade by numerical methods. The Reynolds number ranges from 10000 to 40000, and there are three cooling passages with aspect ratio of 0.5, 1, 2, then the study conducts comparative analysis for a variety of programs in case of rotating. The results show that, ribs improve cooling performance of U-shaped passage significantly while obviously increase coolant flow loss. Heat transfer capability of passage wall is proportional to Reynolds number, but overall flow loss remain basically unchanged. Rotation improve first passage heat transfer clearly by Coriolis force while there is little effect on second passage, and it does not affect overall flow loss of U-shaped cooling passage.


Archive | 2017

IF steel and preparing method thereof

Zhao Hu; Zhou Xun; Wang Jiangong; Xia Yinfeng; Huang Xueqi; Wang Xiaodong; Cui Yang; Teng Huaxiang; Li Fei


Archive | 2016

Hot rolling control method for scale on edges of low-carbon aluminum killed steel

Xia Yinfeng; Zhou Xun; Wang Jiangong; Ai Jiaojian; Wang Xiaodong; Zhou Zheng; Bi Guoxi; Yang Xiaohe; Fan Hongmei; Li Jixin; Chen Yong-ping


ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition | 2018

Influence of Oscillating Boundary Layer Suction on Aerodynamic Performance in Highly-Loaded Compressor Cascades

Xu Hao; Liu Bao; Cai Le; Zhou Xun; Wang Songtao; Wang Zhong-qi


Archive | 2017

Hot-rolling method used for reducing red rust on surface of hot-rolled strip steel

Xia Yinfeng; Yu Yang; Zhou Xun; Wang Jiangong; Sun Chaofan; Ai Jiaojian; Wang Xiaodong; Fan Hongmei; Liu Hongming; Tian Guichang; Gao Wengang; Qi Da


Archive | 2017

Method for reducing chromatic aberration of cold rolled dual-phase steel

Xia Yinfeng; Ai Jiaojian; Wang Xiaodong; Zhou Xun; Wang Jiangong; Zhao Hu; Qi Da; Li Yue; Liu Hongming; Bi Guoxi; Fan Hongmei; Lin Yue; Zhao Wenjiao


Archive | 2017

Method and device for fast obtaining strip steel sickle bend size

Wang Jiangong; Wang Xiaodong; Zhou Xun; Xia Yinfeng


Archive | 2017

Method for controlling roller surface quality of working rollers in hot-rolling and finish-rolling area

Zhou Xun; Wang Xiaodong; Ai Jiaojian; Xu Haiwei; Zhou Zheng; Bi Guoxi; Wang Jiangong; Xia Yinfeng; Li Rui; Sun Chaofan; Gao Xiaoli


Archive | 2017

Rough rolling and descaling control method

Huang Shuang; Zhou Xun; Xia Yinfeng; Qin Hongbo; Zheng Wei; Wang Xiaodong; Wu Baotian; Ai Jiaojian; Zhou Zheng; Peng Zhenwei; Li Jixin; Xie Guangyuan; Zhang Yinghui; Song Beibei; Zhan Meizhu; Huang Bin; Dong Zhankui

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Wang Xiaodong

Chinese Academy of Sciences

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Wang Songtao

Harbin Institute of Technology

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Yu Yang

Shenyang Pharmaceutical University

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Du Xin

Harbin Institute of Technology

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Wang Jian

Nanjing Normal University

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Wang Zhong-qi

Harbin Institute of Technology

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Cai Le

Harbin Institute of Technology

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Chen Hongzhen

University of Science and Technology Beijing

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Chen Shaowen

Harbin Institute of Technology

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