Fin Geometry for Minimum Entropy Generation in Forced Convection

Poulikakos, Dimos; Bejan, Adrian

doi:10.1115/1.3245176

Cited by 146 publications

(66 citation statements)

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“…Their result was different from that obtained by Poulikakos and Bejan (1982) for a low temperature heat recovery application. In addition, the researchers established a simple relation between the amounts the base temperature of the optimized pin fin was raised for a range of absorptive coating values.…”

Section: şAracontrasting

confidence: 46%

“…A modeling approach that establishes a relationship between entropy generation and a fin design parameters, can be used in such a manner that all relevant design conditions combine to produce the best possible thermal sink for the given constraints. Poulikakos and Bejan (1982) established a theoretical framework for the minimization of entropy generation in forced convection for the design of extended surfaces by the use of the first and second laws of thermodynamics. First, the researchers derived the entropy generation rate formula for a general fin.…”

Section: Fin Shapementioning

confidence: 99%

See 1 more Smart Citation

Thermodynamic Optimization

Awad¹,

Muzychk²

2012

Heat Exchangers - Basics Design Applications

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Section: şAracontrasting

confidence: 46%

Section: Fin Shapementioning

confidence: 99%

Thermodynamic Optimization

Awad¹,

Muzychk²

2012

Heat Exchangers - Basics Design Applications

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“…Bejan [1] investigated entropy generation phenomena by considering a small 2D element of the fluid as an open thermodynamic system submitted to mass and energy fluxes. Poulikakos and Bejan [2] were interested in rectangular flasks in laminar flow; they showed that entropy generation is proportional to work loss in the system. To reduce irreversibility origins of entropy generation, three geometrical parameters should be selected: flask length (L), its width (b) and its thickness (į) which seems only in thermal contribution term to entropy generation.…”

Section: Introductionmentioning

confidence: 99%

Entropy Generation at Natural Convection in an Inclined Rectangular Cavity

Bouabid

Magherbi

Hidouri

et al. 2011

Entropy

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Natural convection in an inclined rectangular cavity filled with air is numerically investigated. The cavity is heated and cooled along the active walls whereas the two other walls of the cavity are adiabatic. Entropy generation due to heat transfer and fluid friction has been determined in transient state for laminar natural convection by solving numerically: the continuity, momentum and energy equations, using a Control Volume Finite Element Method. The structure of the studied flows depends on four dimensionless parameters which are: the thermal Grashof number, the inclination angle, the irreversibility distribution ratio and the aspect ratio of the cavity. The obtained results show that entropy generation tends towards asymptotic values for lower thermal Grashof number values, whereas it takes an oscillative behavior for higher values of thermal Grashof number. Transient entropy generation increases towards a maximum value, then decreases asymptotically to a constant value that depends on aspect ratio of the enclosure. Entropy generation increases with the increase of thermal Grashof number, irreversibility distribution ratio and aspect ratio of the cavity. Bejan number is used to measure the predominance of either thermal or viscous irreversibility. At local level, irreversibility charts show that entropy generation is mainly localized on bottom corner of the left heated wall and upper corner of the right cooled wall.

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“…Cylinder geometry was optimized in a paper by Poulikakos and Bejan [19] and Khan et al [20]. After the general formula was derived using the entropy generation minimization (EGM) method analytical methods and graphical results were developed that resulted in the optimum selection of the dimensions of several different fin configurations.…”

Section: A Literature Reviewmentioning

confidence: 99%

Optimal Design of Tube Banks in Crossflow Using Entropy Generation Minimization Method

Khan

Culham

Yovanovich

2006

44th AIAA Aerospace Sciences Meeting and Exhibit

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An entropy generation minimization method is applied as a unique measure to study the thermodynamic losses caused by heat transfer and pressure drop for a fluid in cross flow with tube banks. The use of entropy generation minimization allows the combined effect of heat transfer and pressure drop to be assessed through simultaneous interaction with the tube bank. A general dimensionless expression for the entropy generation rate is obtained by considering a control volume around a tube bank and applying conservation equations for mass and energy with entropy balance. Analytical/empirical correlations for heat transfer coefficients and friction factors are used, where the characteristic length is used as the diameter of the tubes and reference velocity used in Reynolds number and pressure drop is based on the minimum free area available for the fluid flow. Both inline and staggered arrangements are studied and their relative performance is compared for the same thermal and hydraulic conditions. A parametric study is also performed to show the effects of different design variables on the overall performance of tube banks. It is shown that all relevant design parameters for tube banks, including geometric parameters and flow conditions, can be simultaneously optimized.

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Fin Geometry for Minimum Entropy Generation in Forced Convection

Cited by 146 publications

References 0 publications

Thermodynamic Optimization

Thermodynamic Optimization

Entropy Generation at Natural Convection in an Inclined Rectangular Cavity

Optimal Design of Tube Banks in Crossflow Using Entropy Generation Minimization Method

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