Juan Fang

Dr. Juan Fang


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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28 December 2023 in Energies
Verified
Journal Article
Open access
PDF file
YTYuxuan Tan
Yuxuan Tan
YLYue Li
Yue Li
YGYueqing Gu
Yueqing Gu
Wenjie LiuWenjie Liu
Wenjie Liu
Juan FangJuan Fang
Juan Fang
CPchongchao panchch
chongchao panchch
Lithium-ion batteries are the backbone of novel energy vehicles and ultimately contribute to a more sustainable and environmentally friendly transportation system. Taking a 5 Ah ternary lithium-ion battery as an example, a two-dimensional axisymmetric electrochemical–thermal coupling model is developed via COMSOL Multiphysics 6.0 in this study and then is validated with the experimental data. The proportion of different types of heat generation in a 26,650 ternary lithium-ion battery during the charge/discharge cycle is investigated numerically. Moreover, the impact of essential factors such as charge/discharge multiplier and ambient temperature on the reaction heat, ohmic heat, and polarization heat are analyzed separately. The numerical results indicate that the total heat generated by the constant discharge process is the highest in the charging and discharging cycle of a single battery. The maximum heat production per unit volume is 67,446.99 W/m3 at 2 C multiplier discharge. Furthermore, the polarization heat presents the highest percentage in the charge/discharge cycle, reaching up to 58.18% at 0 C and 1 C multiplier discharge. In a high-rate discharge, the proportion of the reaction heat decreases from 34.31% to 12.39% as the discharge rate increases from 0.5 C to 2 C. As the discharge rate rises and the ambient temperature falls, the maximum temperature increase of the single-cell battery also rises, with a more pronounced impact compared to increasing the discharge rate.

11 September 2023 in Renewable Energy
Verified
Journal Article
Closed access
Juan FangJuan Fang
Juan Fang
HDHao Dong
Hao Dong
HXHaimei Xu
Haimei Xu

4 March 2024 in Thermal Science and Engineering Progress
Verified
Journal Article
Closed access
Juan FangJuan Fang
Juan Fang
MYMiaomiao Yang
Miaomiao Yang
XDXupeng Dong
Xupeng Dong
TLTengqi Luo
Tengqi Luo
CPCongchao Pan
Congchao Pan
Hongsheng WangHongsheng Wang
Hongsheng Wang

26 July 2023 in Fuel
Verified
Journal Article
Closed access
Juan FangJuan Fang
Juan Fang
FSFan Sun
Fan Sun
AKAmanj Kheradmand
Amanj Kheradmand
HXHaimei Xu
Haimei Xu
HDHao Dong
Hao Dong
XLXunliang Liu
Xunliang Liu

11 October 2023 in Renewable Energy
Verified
Journal Article
Closed access
TLTengqi Luo
Tengqi Luo
AXAng Xuan
Ang Xuan
YWYafei Wang
Yafei Wang
GLGuanglei Li
Guanglei Li
Juan FangJuan Fang
Juan Fang
ZLZhengguang Liu
Zhengguang Liu

26 February 2023 in Nanomaterials
Verified
Journal Article
Open access
PDF file
CLChunye Liu
Chunye Liu
WWWene Wang
Wene Wang
XHXiaotao Hu
Xiaotao Hu
Juan FangJuan Fang
Juan Fang
Fulai LiuFulai Liu
Fulai Liu
Riblet and superhydrophobic surfaces are two typical passive control technologies used to save energy. In this study, three microstructured samples—a micro-riblet surface (RS), a superhydrophobic surface (SHS), and a novel composite surface of micro-riblets with superhydrophobicity (RSHS)—were designed to improve the drag reduction rate of water flows. Aspects of the flow fields of microstructured samples, including the average velocity, turbulence intensity, and coherent structures of water flows, were investigated via particle image velocimetry (PIV) technology. A two-point spatial correlation analysis was used to explore the influence of the microstructured surfaces on coherent structures of water flows. Our results showed that the velocity on microstructured surface samples was higher than that on the smooth surface (SS) samples, and the turbulence intensity of water on the microstructured surface samples decreased compared with that on the SS samples. The coherent structures of the water flow on microstructured samples were restricted by length and structural angles. The drag reduction rates of the SHS, RS, and RSHS samples were −8.37 %, −9.67 %, and −17.39 %, respectively. The novel established RSHS demonstrated a superior drag reduction effect and could improve the drag reduction rate of water flows.