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Dive into the research topics where Fang Gu is active.

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Featured researches published by Fang Gu.


Optics Letters | 2016

High-temperature flow field's electron number density measurement by two-wavelength moiré tomography.

Yun-yun Chen; Yang Song; Fang Gu; Shao-feng Shao; Ying-ying Zhang

In this Letter, a direct method is proposed to measure the electron number density distribution for high-temperature complex flow fields. The experimental system of two-wavelength moiré tomography is established, while four key issues are solved and well clarified. The argon arc plasma is adopted as an example for experiment, while 532 and 808 nm are chosen as the two probe wavelengths. The results indicate that the electron number densitys distribution of the measured argon arc plasma can be directly obtained by two-wavelength moiré tomography, which can avoid the imprecision of the indirect methods. This Letter can provide some reference for various high-temperature and high-density gradient flow field optical measurement and diagnosis.


Applied Optics | 2012

Ionization effect on arc plasma’s optical diagnosis by the measurement of the refractive index

Yun-yun Chen; Cheng-yi Zhang; Fang Gu; Qing-hua Wang; Zhenhua Li

The effect of arc plasma ionization on its temperature diagnosis by the measurement of the refractive index is discussed. The refractive index of arc plasma in two conditions is compared: 1) only the first ionization is considered and 2) both the first and second ionizations are considered. In order to facilitate plasma temperature reconstruction, two corresponding refractive index models are deduced. For the sake of making this study universal, both the monatomic and dual-atomic molecule arc plasmas are chosen as typical examples for theoretical deduction and analysis. A condition, which can be adopted to estimate whether the second ionization should be considered in temperature reconstruction, is proposed. Finally, an argon arc plasma is chosen as an example for experiment, and the experimental results match well with the theoretical analysis. This study is crucial to arc plasmas optical diagnosis, which is based on the measurement of the refractive index.


Optics Communications | 2012

Flow field's temperature partition reconstruction based on its phase distribution

Yun-yun Chen; Gaige Zheng; Fang Gu; Zhenhua Li


Optics Communications | 2014

Diagnosis of arc plasma jet flowing into air by integrating moiré and emission tomography

Yun-yun Chen; Gaige Zheng; Yang Yu; Fang Gu


Optik | 2014

Temperature's optical tomography diagnosis of arc plasma jet flowing into air

Yun-yun Chen; Fang Gu; Gaige Zheng; Yuzhu Liu


Optik | 2017

Photoluminescent behavior of ZnO nanoparticles in a sandwich-like structure SiOx/ZnO/SiOx

Linhua Xu; Gaige Zheng; Min Lai; Fenglin Xian; Shixin Pei; Junfeng Wang; Liming Qian; Fang Gu


Optik | 2016

The contribution of dust particles on plasma's absorption characteristic

Yun-yun Chen; J. Yang; Fang Gu


Optik | 2014

Analysis on the feasibility of optical tomography in measuring gas jet flow velocity

Yun-yun Chen; Gaige Zheng; Fang Gu; Yang Yu


Optics Communications | 2013

Arc plasma’s electron number density diagnosis by the measurement of the refractive index

Yun-yun Chen; Gaige Zheng; Fang Gu; Qing-hua Wang; Zhenhua Li


Optik | 2016

The study of dusty plasma's conductivity with dual-temperature model

Yun-yun Chen; Fang Gu; Cui-hong Yang; Ying-ying Zhang

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Yun-yun Chen

Nanjing University of Information Science and Technology

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Gaige Zheng

Nanjing University of Information Science and Technology

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Zhenhua Li

Nanjing University of Science and Technology

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Qing-hua Wang

Nanjing University of Science and Technology

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Junfeng Wang

Nanjing University of Information Science and Technology

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Linhua Xu

Nanjing University of Information Science and Technology

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Yang Yu

Nanjing University of Information Science and Technology

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Yuzhu Liu

Nanjing University of Information Science and Technology

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A. G. Xie

Nanjing University of Information Science and Technology

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Cheng-yi Zhang

Nanjing University of Information Science and Technology

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