Yaqiong Fu
China Jiliang University
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Publication
Featured researches published by Yaqiong Fu.
international conference on control automation and systems | 2009
Jian Sun; Liang Chen; Yaqiong Fu; Zhishang Cui; Le Chen
The basic principle of embed-in-wall heat flux sensor as well as its structure and manufacturing are introduced in this paper. And the flux distribution of embed-in-wall heat flux sensor and its deviation are analyzed. The concept of isolation layer is proposed. The introduction of isolation layer has important significance to improve the measurement accuracy of heat flux sensor.
international conference on mechanic automation and control engineering | 2012
Enhui Zheng; Wenhao Cao; Yaqiong Fu; Jian Sun; Le Chen
The infrared non-destructive testing (NDT) is widely applied in inspecting inner defects of different products as the development of infrared technology. In this paper, by establishing model of the steel product with different defects, the three dimensional heat conduction behavior simulation of Infrared Flash Thermography to detect blowhole defects in the steel products is carried out by using finite element analysis software ANSYS. Then, the surface temperature distribution is calculated and cloud maps of the surface temperature can be obtained in heating and cooling processing. The emphasis is placed on the relationship between the ratio of width to depth (L/H) and the surface temperature characteristic. The work is valuable for analyzing blowhole defects in the steel products qualitatively and semi-quantitatively.
asia-pacific conference on information processing | 2009
Jian Sun; Liang Chen; Yaqiong Fu; Juan Wu; Le Chen
A ε - SVR (ε -Support Vector Regression) based modeling method is introduced to process data acquired from infrared temperature demarcating experiment. In the process of the temperature of black body ranging from 30 to 72, 22 groups of samples are acquired, which include 17 groups of training samples and 5 groups of forecasting samples. The fitting curves are got through training samples and forecasting samples under MATLAB. Compared with traditional method of least square, the precision of this method is far higher. In conclusion, the method of ε -SVR can become a method of data processing to infrared temperature demarcating.
Archive | 2012
Le Chen; Yaqiong Fu; Jian Sun; Juan Wu; Xiaoli Zhang; Enhui Zheng
Archive | 2010
Le Chen; Xiaoli Zhang; Jian Sun; Yaqiong Fu; Enhui Zheng; Juan Wu
Archive | 2010
Le Chen; Liang Chen; Yaqiong Fu; Qingbiao Hang; Jian Sun; Juan Wu; Enhui Zheng
Archive | 2011
Le Chen; Yaqiong Fu; Jian Sun; Shaojun Zhong; Hongwei Xu; Yanyan Huang
Archive | 2011
Le Chen; Yaqiong Fu; Yanyan Huang; Jian Sun; Hongwei Xu; Shaojun Zhong
Archive | 2012
Jian Sun; Jie Tang; Shaojun Zhong; Le Chen; Hongwei Xu; Fu Yu; Yaqiong Fu; Quanqin Zhao
Archive | 2012
Jian Sun; Xiaochuan Wang; Le Chen; Jian Gao; Yaqiong Fu; Yanyan Huang; Quanqin Zhao; Hong Tan