Suscripción a Biblioteca: Guest
Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones
Journal of Enhanced Heat Transfer
Factor de Impacto: 0.562 Factor de Impacto de 5 años: 0.605 SJR: 0.175 SNIP: 0.361 CiteScore™: 0.33

ISSN Imprimir: 1065-5131
ISSN En Línea: 1026-5511

Volumes:
Volumen 27, 2020 Volumen 26, 2019 Volumen 25, 2018 Volumen 24, 2017 Volumen 23, 2016 Volumen 22, 2015 Volumen 21, 2014 Volumen 20, 2013 Volumen 19, 2012 Volumen 18, 2011 Volumen 17, 2010 Volumen 16, 2009 Volumen 15, 2008 Volumen 14, 2007 Volumen 13, 2006 Volumen 12, 2005 Volumen 11, 2004 Volumen 10, 2003 Volumen 9, 2002 Volumen 8, 2001 Volumen 7, 2000 Volumen 6, 1999 Volumen 5, 1998 Volumen 4, 1997 Volumen 3, 1996 Volumen 2, 1995 Volumen 1, 1994

Journal of Enhanced Heat Transfer

DOI: 10.1615/JEnhHeatTransf.v3.i4.40
pages 281-290

A Genetic Algorithm Optimization Technique for Compact High Intensity Cooler Design

Timothy S. Schmit
Department of Mechanical Engineering, University of Wisconsin, Milwaukee, WI 53201
Anoop K. Dhingra
Department of Mechanical Engineering, University of Wisconsin, Milwaukee, WI 53201
Fred Landis
Department of Mechanical Engineering, University of Wisconsin, Milwaukee, WI 53201
Gunol Kojasoy
Department of Mechanical Engineering, University of Wisconsin-Milwaukee P.O. Box 784, Milwaukee, Wisconsin 53201

SINOPSIS

This paper initially reviews the operation and design criteria for a compact high intensity cooler (CHIC) unit as used in avionic equipment. Here high heat loads are dissipated via multiple impinging jets fed sequentially through a series of fins connected with a bus bar to the heat source. The analytical basis for the heat transfer design, most of which has been published previously, is shown to predict the performance of CHIC units to a high degree of accuracy. This then permits optimizing the design. Most optimization techniques depend on continuous variables, while in the design of CHIC unit many of the critical geometrical variables must assume discrete values. A genetic algorithm, generally not well known in engineering circles, that looks for an optimum by simulating an evolutionary process was found to be satisfactory for this problem with its mixture of discrete and continuous variables. It is also shown that in an actual optimization problem, where the fluid pressure drop across the unit has to be balanced against a low overall thermal resistance, an optimum geometrical design can be determined. This design is an improvement over the empirical "best" design previously reported in the literature.


Articles with similar content:

COMPACT HIGH INTENSITY COOLER DESIGN: A GENETIC ALGORITHM OPTIMIZATION TECHNIQUE
Journal of Enhanced Heat Transfer, Vol.24, 2017, issue 1-6
Gunol Kojasoy, Fred Landis
Multi-objective Optimization for a Free-piston Vuilleumier Heat Pump Based on an Evolutionary Algorithm
3rd Thermal and Fluids Engineering Conference (TFEC), Vol.6, 2018, issue
Jon P. Longtin, Hanfei Chen, ChihChieh Lin
THERMOECONOMIC DESIGN OPTIMIZATION FOR A COMPACT FINNED-TUBE EVAPORATOR OF AUTOMOTIVE AIR-CONDITIONING SYSTEM
International Heat Transfer Conference 13, Vol.0, 2006, issue
Md Nor Musa, Mat Nawi Wan Hassan, Md Khamis Md Mansour
A PROBABILISTIC APPROACH TO IMPROVE THE RELIABILITY OF HELICOPTER DESIGNS WITH ADJUSTABLE ELEMENTS
TsAGI Science Journal, Vol.47, 2016, issue 4
M. Z. Shakirov, Sergey Vasilyevich Saltykov, Sergey Anatolyevich Mikhailov, Dmitry Valeryevich Nedel'ko
RECONCILED TOP-DOWN AND BOTTOM-UP HIERARCHICAL MULTISCALE CALIBRATION OF BCC FE CRYSTAL PLASTICITY
International Journal for Multiscale Computational Engineering, Vol.15, 2017, issue 6
Aaron E. Tallman, David L. McDowell, Laura P. Swiler, Yan Wang