Fractal model for prediction of effective thermal conductivity of gas diffusion layer in proton exchange membrane fuel cell

Song, Ying; Xiao, Jinsheng; Quan, Shuhai; Pan, Mu; Yuan, Ran

doi:10.1016/j.jpowsour.2008.07.010

Cited by 27 publications

(37 citation statements)

References 17 publications

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“…In PEMFC, the GDL operating temperature produce in system is below than 375 K due to its pore sizes which is 100 µm and in this scenario the convection or radiation can neglected. (Shi et al, 2008) (Kantorovich et al, 1999).…”

Section: Scopes Of Studymentioning

confidence: 99%

“…at high temperatures (>1000 K), while foremost carbon material, the effect of radiation heat transfer is negligible for temperatures below 1000 K (Shi et al, 2008). (Wang et al, 2016).…”

Section: Scopes Of Studymentioning

confidence: 99%

“…Where, L o represents the linear length of these capillary pathways in the flow direction, λ denotes the diameter of the path, L(λ) is its corresponding length and D t is the tortuous fractal dimension (Shi et al, 2008). From the equation (2), the tortuous pathways can be obtained by:…”

Section: Fractal Parallel Modelmentioning

confidence: 99%

“…The modified equations for parallel and series claimed by Shi et al,(2008) are suitable for the prediction of the effective thermal conductivity of a GDL. The proposed of combination with the contribution of parallel and series tubes by a series scheme based on the equation (4) will reach the effective thermal conductivity (Shi et al, 2008).…”

Section: Fractal Parallel Modelmentioning

confidence: 99%

“…The proposed of combination with the contribution of parallel and series tubes by a series scheme based on the equation (4) will reach the effective thermal conductivity (Shi et al, 2008). Such series scheme is suitable to determine through plane conductivity.…”

Section: Fractal Parallel Modelmentioning

confidence: 99%

See 4 more Smart Citations

A Comprehensive Fractal Approach in Determination of the Effective Thermal Conductivity of Gas Diffusion Layers in Polymer Electrolyte Membrane Fuel Cells

et al. 2017

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Section: Scopes Of Studymentioning

confidence: 99%

“…at high temperatures (>1000 K), while foremost carbon material, the effect of radiation heat transfer is negligible for temperatures below 1000 K (Shi et al, 2008). (Wang et al, 2016).…”

Section: Scopes Of Studymentioning

confidence: 99%

Section: Fractal Parallel Modelmentioning

confidence: 99%

Section: Fractal Parallel Modelmentioning

confidence: 99%

Section: Fractal Parallel Modelmentioning

confidence: 99%

See 3 more Smart Citations

A Comprehensive Fractal Approach in Determination of the Effective Thermal Conductivity of Gas Diffusion Layers in Polymer Electrolyte Membrane Fuel Cells

et al. 2017

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Determination of the effective thermal conductivity of gas diffusion layers in polymer electrolyte membrane fuel cells: a comprehensive fractal approach

Nikooee

Karimi

2011

Int. J. Energy Res.

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SUMMARYAccurate determination of the effective thermal conductivity of gas diffusion layers used in polymer electrolyte membrane fuel cells is very critical for efficient thermal and water management. In this paper, effective thermal conductivity of a diffusion medium material with and without polytetrafluoroethylene (PTFE) was estimated using a fractal approach. Fractal dimensions were obtained using the measured pore size distributions of the samples. The predicted through-plane thermal conductivities were in good agreement with the experimentally measured data. It was demonstrated that such a fractal technique can be employed, with slight modifications, to estimate in-plane thermal conductivity. Besides, application of a random multifractal simulation to obtain the required tortuous fractal dimension is introduced, which can be helpful in the absence of scanning electron microscopy images. It was shown that the tortuous fractal dimension obtained is in good agreement with the reported value in the literature. Finally, variation of the tortuous fractal dimensions with PTFE contents was also determined, which is of practical importance when estimating thermal conductivity of diffusion media with different amount of PTFE contents.

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Dependence of the Mechanical Sensitivity on the Fractal Characteristics of Octahydro‐1,3,5,7‐tetranitro‐1,3,5,7‐tetrazocine Particles

Wang

Song

Dan

et al. 2011

Propellants Explo Pyrotec

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Three fabrication methods were used to synthesize HMX powders with different particle sizes and microscopic morphologies. All as‐prepared samples were characterized by laser granularity measurements and scanning electron microscopy (SEM). The mechanical sensitivity and thermal stability of the different HMX powders were characterized using mechanical sensitivity tests and differential scanning calorimetry (DSC). Size distribution data and SEM images were used to find the size fractal dimension (D) and surface fractal dimension (Ds) of HMX samples, which were calculated by the least‐squares method and fractal image processing software (FIPS), respectively. The parameters D and Ds quantize two important properties of HMX particles, namely the complexity of the particle size distribution and the irregularity of the particle surface, which affect the thermal conductivity of the particle group if it is exposed to stimuli such as impact, friction or heating. The fractal dimensions reveal the dependence of the mechanical sensitivity of HMX on the powder size, size distribution and microscopic morphology. The results indicate that the proportion of fine particles in HMX powder increases as the D value increases, which causes decreased impact sensitivity. This occurs because hot spot formation leading to an explosion is more difficult because of the improved thermal conductivity of the particle group. Similarly, the surface roughness of HMX particles increases with an increase in Ds, causing an increase in friction sensitivity because of the excessive accumulation of frictional heat. In addition, thermal analysis results indicate that the maximum thermal decomposition rate of HMX decreases with increasing D and Ds.

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Fractal model for prediction of effective thermal conductivity of gas diffusion layer in proton exchange membrane fuel cell

Cited by 27 publications

References 17 publications

A Comprehensive Fractal Approach in Determination of the Effective Thermal Conductivity of Gas Diffusion Layers in Polymer Electrolyte Membrane Fuel Cells

A Comprehensive Fractal Approach in Determination of the Effective Thermal Conductivity of Gas Diffusion Layers in Polymer Electrolyte Membrane Fuel Cells

Determination of the effective thermal conductivity of gas diffusion layers in polymer electrolyte membrane fuel cells: a comprehensive fractal approach

Dependence of the Mechanical Sensitivity on the Fractal Characteristics of Octahydro‐1,3,5,7‐tetranitro‐1,3,5,7‐tetrazocine Particles

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