Analysis of internal and external thermal resistances of heat pipes including fins using a three-dimensional numerical simulation

Poplaski, Leonard M.; Faghri, Amir; Bergman, T. L.

doi:10.1016/j.ijheatmasstransfer.2016.05.116

Cited by 31 publications

(12 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The heat is transferred through the shell by heat conduction. The thermal resistance of the FHP shell corresponding to each heat source is calculated from (Poplaski et al, 2016):…”

Section: Thermal Resistance Of the Shellmentioning

confidence: 99%

Study on the Influence of Flat Heat Pipe Structural Parameters in Battery Thermal Management System

et al. 2022

View full text Add to dashboard Cite

Battery performance and lifespan are greatly dependent on its temperature, and a good battery thermal system (BTMS) can make the battery work at its favorable temperature range, improve its electrical performance, and extend its lifespan. Due to the high heat conductivity and large surface area of flat heat pipe (FHP), the FHP-based BTMS can quickly remove the heat produced by the battery and improve the temperature homogeneity among cells in the pack. In this study, the FHP is applied to the BTMS, and the influence of its structure on the battery thermal dynamics is studied. Firstly, a coupled thermal model for the FHP-based BTMS is established and verified by the experiment. This model integrates the resistance-based thermal model of the battery and FHP model based on the thermal resistance network. Then, the effect of the structure parameters of FHP such as the thickness, porosity, and particle diameter of sintered wick on the thermal performance of the battery is investigated. According to the results, the temperature variation among battery cells rises significantly when the dimensionless thickness of the wick is greater than 0.7. Moreover, the change of the porosity and particle diameter of the wick results in a nonlinear development of the wick thermal resistance which finally changes the heat conductivity of the FHP and battery temperature. Finally, a neural network model (NNM) is used to establish the relationship between the FHP parameters and battery thermal performance for optimizing the BTMS structure. According to optimization result, the optimized FHP can keep the maximum battery temperature below 40°C at a discharge rate of 2C and reduce the temperature variation in the battery by 7.4%.

show abstract

“…The heat is transferred through the shell by heat conduction. The thermal resistance of the FHP shell corresponding to each heat source is calculated from (Poplaski et al, 2016):…”

Section: Thermal Resistance Of the Shellmentioning

confidence: 99%

Study on the Influence of Flat Heat Pipe Structural Parameters in Battery Thermal Management System

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The phasic thermodynamic and transport properties appearing in Eqs. ( 5) through (11) are intrinsic; that is, they are with respect only to the given phase, not the mixture. Density is denoted by ρ k , pressure by p k , temperature by T k , specific total energy by E k , dynamic viscosity by μ k , and thermal conductivity by k k .…”

Section: Iia Two-phase Flowmentioning

confidence: 99%

“…With the first three assumptions, the liquid and vapor phases are effectively decoupled, and with the remaining assumptions, Eqs. (5) through (11) reduce to a homogeneous system, to which MMS sources are added, resulting in the following system: encounters a second-order accuracy superconvergence for the chosen test problem and error norm. The full slope reconstruction scheme demonstrates universal secondorder accuracy in the chosen error norm.…”

Section: Vc Test C: Spatial Convergence Verificationmentioning

confidence: 99%

See 1 more Smart Citation

Sockeye: A One-Dimensional, Two-Phase, Compressible Flow Heat Pipe Application

et al. 2021

View full text Add to dashboard Cite

Sockeye is a heat pipe analysis application based on the Multiphysics Object-Oriented Simulation Environment (MOOSE) finite element framework. The primary purpose of Sockeye is to provide a transient heat pipe simulation tool to be used in the analysis of nuclear microreactor designs. Sockeye provides the capability to perform one-dimensional, two-phase, compressible flow simulation of a heat pipe working fluid and two-dimensional, axisymmetric heat conduction for the heat pipe cladding and its surroundings. Sockeye is demonstrated against analytical solutions and experimental data from the SAFE-30 heat pipe module test.

show abstract

“…1,2,[6][7][8][9][10][11][12][13][14][15] Several investigators have studied the effects of various parameters on the performance of heat pipes viz. the effects of wick, 16,17 fin, 18 inclination angle of heat pipe, 19 filling ratio and vacuum level inside the heat pipe, 20 variable conductance heat pipe, 17,21 length-toinner-diameter ratio on entrainment limit of heat pipe, 22 use of nano-fluids, [23][24][25][26] pulse heating on oscillating-flow heat pipe, 27 etc. However, not many effort have been undertaken to study the interacting effects of the combination of these parameters and its optimization.…”

Section: Introductionmentioning

confidence: 99%

Parametric studies on interacting parameters influencing heat pipe performance

Kumar

Jain

Shah

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part A:

View full text Add to dashboard Cite

The performance of a heat pipe is governed by many parameters, the effects of which may influence each other. Hence, it is utmost important to optimize the combination of these parameters for an effective energy transfer in a heat pipe. In the present study, the interacting effects of four different parameters affecting the effectiveness of heat pipe are studied namely the fluid filling ratio (20%, 30%, 40%), the pressure inside the heat pipe (0.2 bar, 1 bar, 1.8 bar), the number of wick layers (0, 1, 2) and the inclination angle of heat pipe (0°, 45°, 90°). The response surface method based on central composite design approach is applied to optimize the number of experiments. The effects of interacting parameters on the effectiveness of heat pipe are discussed. Among the various parameters, the pressure inside the heat pipe was found to be the most important parameter followed by the fluid filling ratio, the inclination of heat pipe and the number of wick layers. From the analysis, the optimum combination of parameters was obtained as 40% filling ratio, 0.2 bar pressure, 2 wick layers and 0° inclination. At this point, the effectiveness predicted with the model and obtained through experiments was found to be 0.630 and 0.649 respectively. Based on the experimental results, a quadratic empirical model is developed which predicts the effectiveness of heat pipe within [Formula: see text]% of the experimental results for different operating conditions of heat pipe.

show abstract

Analysis of internal and external thermal resistances of heat pipes including fins using a three-dimensional numerical simulation

Cited by 31 publications

References 13 publications

Study on the Influence of Flat Heat Pipe Structural Parameters in Battery Thermal Management System

Study on the Influence of Flat Heat Pipe Structural Parameters in Battery Thermal Management System

Sockeye: A One-Dimensional, Two-Phase, Compressible Flow Heat Pipe Application

Parametric studies on interacting parameters influencing heat pipe performance

Contact Info

Product

Resources

About