Chen Zhan

Mr. Chen Zhan

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 November 2022 in Composites Science and Technology
Verified
Journal Article
Closed access
CZChen Zhan
Chen Zhan
Wenzhi CuiWenzhi Cui
Wenzhi Cui
LLLongjian Li
Longjian Li
XQXiaojun Quan
Xiaojun Quan
YZYuqi Zhang
Yuqi Zhang
FXFei Xiao
Fei Xiao

10 March 2022 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
YZYuqi Zhang
Yuqi Zhang
Wenzhi CuiWenzhi Cui
Wenzhi Cui
LLLongjian Li
Longjian Li
CZChen Zhan
Chen Zhan
FXFei Xiao
Fei Xiao
WLWeiping Li
Weiping Li

30 June 2022 in Polymer Composites
Verified
Journal Article
Closed access
CZChen Zhan
Chen Zhan
Wenzhi CuiWenzhi Cui
Wenzhi Cui
LLLongjian Li
Longjian Li
XQXiaojun Quan
Xiaojun Quan
YZYuqi Zhang
Yuqi Zhang
WLWeiping Li
Weiping Li

27 December 2022 in Energies
Verified
Journal Article
Open access
PDF file
CZChen Zhan
Chen Zhan
Wenzhi CuiWenzhi Cui
Wenzhi Cui
LLLongjian Li
Longjian Li
Accurate estimation of the thermal conductivity of porous materials is crucial for the modeling of heat transfer and energy consumption calculation in energy, aerospace, biomedicine and chemical engineering, etc. The series-parallel model is a simple and direct method and is usually used in the prediction of the effective thermal conductivity (ETC) of porous materials. In this work, the weighted coefficients of the series and parallel section were obtained based on the tortuosity of the porous materials. Then, the physical model of the ETC of the porous materials was established. Furthermore, the ETC of the porous materials was developed using the fractal model to calculate the pore cross-sectional area of the porous materials. Finally, quantitative analysis of the characteristic parameters, e.g., porosity, tortuosity, tortuous fractal dimension and pore diameter distribution, of the ETC of the porous materials was conducted. The results show that the proposed model can provide an accurate prediction of the ETC of porous materials.