Comprehensive optimization of a heat pipe radiator assembly filled with ammonia or acetone

Vlassov, Valeri V.; Sousa, Fabiano Luís de; Takahashi, W.

doi:10.1016/j.ijheatmasstransfer.2006.02.059

Cited by 45 publications

(15 citation statements)

References 10 publications

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“…Based on the Back-Sneppen simplified model of evolution [29], it has been applied successfully to design optimization problems [30,31] as well as to an inverse radiative transfer problem [32].…”

Section: The Generalized Extremal Optimization Algorithmmentioning

confidence: 99%

Solution of an inverse adsorption problem with an epidemic genetic algorithm and the generalized extremal optimization algorithm

Cuco

Neto

Velho

et al. 2009

Inverse Problems in Science and Engineering

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In the present work two recently developed stochastic methods, the epidemic genetic algorithm and the generalized extremal optimization algorithm are used for the solution of an inverse mass transfer problem, which is implicitly formulated as an optimization problem, for the estimation of parameters associated with the adsorption of biomolecules in resin beds. The estimates obtained with both methods present good accuracy, even in the presence of noisy data, provided that the model and experiment used are sensitive to the parameters being estimated. With Thomas' model for the direct mass transfer problem and real experimental data for lisozyme in adsorption columns, it is possible to estimate the maximum adsorption capacity in Langmuir's adsorption isotherm.

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Section: The Generalized Extremal Optimization Algorithmmentioning

confidence: 99%

Solution of an inverse adsorption problem with an epidemic genetic algorithm and the generalized extremal optimization algorithm

Cuco

Neto

Velho

et al. 2009

Inverse Problems in Science and Engineering

Self Cite

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show abstract

“…The approach and structure of the optimization problem is similar to the ones used for a HP optimization in (Vlassov, de Sousa and Takahashi, 2006a). A global search metaheuristic, called Generahzed Extremal Optimization, is used as the optimization tool.…”

Section: The Optimization Proceduresmentioning

confidence: 99%

Design Optimization of Loop Heat Pipes with Cylindrical Evaporator and Integral Reservoir for Space Application

Vlassov¹,

Sousa²,

Riehl³

2008

AIP Conference Proceedings

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Abstract. Design optimization of a LHP system for a space application is considered. The system is composed of the LHP itself, an interface with the heat source (saddle) and a radiator. The criterion is minimal system mass while meeting the operational requirements. The optimization is performed with simultaneous consideration of hot and cold conditions with respect to imposed heat loads to the evaporator and external heat fluxes over the radiator panel. The design parameters of the system optimized are the active length of the evaporator, internal and external diameters of the primary wick, volume and size of the reservoir, thickness and width of the saddle, diameters and tube thickness of the transport lines and condenser, length of the condenser, dimensions of the radiator panel and the amount of the LHP working fluid charged. The LHP mass and optimal design parameters are obtained for three working fluids: armnonia, propylene and acetone; a comparative study of the optimal mass characteristics is performed. Fixed parameters are the required values of transferred heat loads, incident external heat fluxes for the hot and cold cases, length of the transport lines, material and fluid properties. Constraints include temperature limits for the attached equipment and the capillary limits of the LHP. A special steady state mathematical model was developed for the calculation of the LHP performance parameters and a global search metaheuristic, called Generalized Extremal Optimization (GEO), is used as the optimization tool.

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“…However, traditional approach of increasing the cooling rate by using fins and micro-channel has already reached to their limit. [1] Optimal mass characteristics for a heat pipe radiator assembly for space application were investigated by Vlassov et al [2]. Their results showed that under certain combinations of input parameters, the assembly with acetone HP can be more weight effective than the one with ammonia, in spite of the liquid transport factor criterion indicates an opposite trend.…”

Section: Introductionmentioning

confidence: 99%

Performance investigation of Automobile Radiator operated with Al2O3 based nanofluid

Bhogare¹,

Kothawale²

2014

IOSRJMCE

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Comprehensive optimization of a heat pipe radiator assembly filled with ammonia or acetone

Cited by 45 publications

References 10 publications

Solution of an inverse adsorption problem with an epidemic genetic algorithm and the generalized extremal optimization algorithm

Solution of an inverse adsorption problem with an epidemic genetic algorithm and the generalized extremal optimization algorithm

Design Optimization of Loop Heat Pipes with Cylindrical Evaporator and Integral Reservoir for Space Application

Performance investigation of Automobile Radiator operated with Al2O3 based nanofluid

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