Optimum design of space radiators with temperature-dependent thermal conductivity

Arslantürk, Cihat

doi:10.1016/j.applthermaleng.2005.10.038

Cited by 51 publications

(37 citation statements)

References 15 publications

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“…To check the accuracy of the present solution, by considering = = = 0 our problem is converted to a simpler case which was studied in four pioneering works [4,[30][31][32] and ADM [31] in Figure 3. As it can be seen, this method leads to acceptable results compared with those methods.…”

Section: Validation Of the Resultsmentioning

confidence: 99%

“…The heat transfer rate from the surfaces of a fin is found by applying the Stefan-Boltzmann law, namely [31],…”

Section: Fin Efficiencymentioning

confidence: 99%

“…The resulting nonlinear differential equation is solved by DTM to evaluate the temperature distribution within the fin. Accordingly, the appropriate convergence study and comparison with previously published related articles, the results obtained using variational iteration method (VIM) [4,30], Adomian decomposition method (ADM) [31], homotopy analysis method (HAM) [32], and numerical solution (NS), were employed in order to verify the accuracy of the proposed method. Using the temperature distribution, we express the efficiency of the fin in terms of radiation-conduction fin parameter, , and thermal conductivity parameter, .…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Radiative Radial Fin with Temperature-Dependent Thermal Conductivity Using Nonlinear Differential Transformation Methods

Torabi

Yaghoobi

Colantoni

et al. 2013

Chinese Journal of Engineering

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Radiative radial fin with temperature-dependent thermal conductivity is analyzed. The calculations are carried out by using differential transformation method (DTM), which is a seminumerical-analytical solution technique that can be applied to various types of differential equations, as well as the Boubaker polynomials expansion scheme (BPES). By using DTM, the nonlinear constrained governing equations are reduced to recurrence relations and related boundary conditions are transformed into a set of algebraic equations. The principle of differential transformation is briefly introduced and then applied to the aforementioned equations. Solutions are subsequently obtained by a process of inverse transformation. The current results are then compared with previously obtained results using variational iteration method (VIM), Adomian decomposition method (ADM), homotopy analysis method (HAM), and numerical solution (NS) in order to verify the accuracy of the proposed method. The findings reveal that both BPES and DTM can achieve suitable results in predicting the solution of such problems. After these verifications, we analyze fin efficiency and the effects of some physically applicable parameters in this problem such as radiation-conduction fin parameter, radiation sink temperature, heat generation, and thermal conductivity parameters.

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Section: Validation Of the Resultsmentioning

confidence: 99%

“…The heat transfer rate from the surfaces of a fin is found by applying the Stefan-Boltzmann law, namely [31],…”

Section: Fin Efficiencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Radiative Radial Fin with Temperature-Dependent Thermal Conductivity Using Nonlinear Differential Transformation Methods

Torabi

Yaghoobi

Colantoni

et al. 2013

Chinese Journal of Engineering

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“…Using this variable base temperature, the effectiveness was calculated and it was found that the effectiveness actually lowered with increasing emissivity. Arslanturk [13] studied a radiating longitudinal fin with temperature-dependent thermal conductivity and found that the optimal fin dimensions varied by up to 28% from use of a constant thermal conductivity analysis.…”

Section: Introductionmentioning

confidence: 99%

Radiant Fin Performance Using Fractal-like Geometries

Dannelley

Baker

2013

Journal of Heat Transfer

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The results of a computational study into the thermal peiformance of thermally radiating fractal-like fins are presented. Previous experimental studies have shown that fractal patterns increase the heat transfer surface area while simultaneously reducing mass. Two fractal patterns were used for comparison, the modified Koch snowflake and the Sierpinski carpet. For an isothermal base fin radiating to free space, the fin effectiveness and fin efficiency are presented for the zeroth and first four fractal iterations in otder to quantify the performance. Emissivity, width/thickness ratio, base temperature, and fin material were varied to better understand their impact on the peiformance of fractal-like fins. Based upon the observed results, fractal-like fins greatly improve the fin effectiveness per unit mass. In certain cases, fin effectiveness per unit mass was found to increase by up to 46%. As the cost of access to space is significant, this reduction in mass could lead to savings for spacecraft thermal management applications.

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“…Determination of the overall effective surface requirement needs computation of the fin efficiency accurately. Cihat Arslanturk [1] designed optimum space radiators considering temperature-dependent thermal conductivity. Aziz and Huq [2] considered a pure convection fin with temperature-reliant thermal conductivity and developed a three-term regular perturbation expression in terms of thermal conductivity parameter.…”

Section: Introductionmentioning

confidence: 99%

Thermal Analysis of Semicircular Fins Considering Temperature-dependent Thermal Conductivity and Heat Transfer Coefficient

Chakraborty

Luharuka

Sirkar

2014

Indian Chemical Engineer

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This paper investigates the semicircular fin efficiency considering the fact that both thermal conductivity of the fin material and the heat transfer coefficient for dissipation of heat from the fin surface are temperature dependent and can render changes in fin efficiency for large temperature differences. Based on a steady-state two-dimensional thermal analysis, the non-linear differential equation of semicircular fin model has been solved using finite-difference method. Two-dimensional temperature distribution of the fin surface has been successfully correlated to a third-degree polynomial. Results show that for a cooling fin with increase in tube size fin efficiency remains nearly the same or decreases for a given number of fin depending on whether fin number is large or small and whether tube size is slightly large or much larger. With increase in fin number for a given tube size, efficiency remains nearly the same or increases depending on whether fin numbers are a few more or many more and whether tube size is small or large. The efficiency range is 0.2875-0.311 for aluminium and 0.295-0.308 for copper corresponding to tube size from 0.01 m to 0.09 m and fin number ranging from 4 to 24. As expected, fin efficiency has been found to increase with enhancement in base temperature and reduction in ambient temperature. Results mentioned above are consistent for both copper and aluminium as fin material.

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Optimum design of space radiators with temperature-dependent thermal conductivity

Cited by 51 publications

References 15 publications

Analysis of Radiative Radial Fin with Temperature-Dependent Thermal Conductivity Using Nonlinear Differential Transformation Methods

Analysis of Radiative Radial Fin with Temperature-Dependent Thermal Conductivity Using Nonlinear Differential Transformation Methods

Radiant Fin Performance Using Fractal-like Geometries

Thermal Analysis of Semicircular Fins Considering Temperature-dependent Thermal Conductivity and Heat Transfer Coefficient

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