2009
DOI: 10.1016/j.apenergy.2008.06.010
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The area-point constructal optimization for discrete variable cross-section conducting path

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Cited by 88 publications
(48 citation statements)
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References 32 publications
(61 reference statements)
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“…Zhou et al [15] assembled a new rectangular element with continuously variable cross-section conducting path and the results showed that increasing the complexity of the assembly could not always decrease the maximum temperature difference while there existed an optimal assembly's order. For the thermal current density in the conducting path to increase discretely when the optimum number of the lower order constructs forming higher order constructs is finite, Wei et al [16] proposed a new constructal optimization model based on a discrete variable cross-section conducting path. The optimization results showed that the minimum maximum temperature difference obtained through assembling could be obtained by changing the cross-section of conducting path in the same assembly's order.…”
Section: Introductionmentioning
confidence: 99%
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“…Zhou et al [15] assembled a new rectangular element with continuously variable cross-section conducting path and the results showed that increasing the complexity of the assembly could not always decrease the maximum temperature difference while there existed an optimal assembly's order. For the thermal current density in the conducting path to increase discretely when the optimum number of the lower order constructs forming higher order constructs is finite, Wei et al [16] proposed a new constructal optimization model based on a discrete variable cross-section conducting path. The optimization results showed that the minimum maximum temperature difference obtained through assembling could be obtained by changing the cross-section of conducting path in the same assembly's order.…”
Section: Introductionmentioning
confidence: 99%
“…[16] pointed out that the thermal current in the conducting path of rectangular element increased continuously, and that the thermal current in the conducting path increased discretely when the optimum number of the lower order constructs which formed higher order constructs was finite. Based on ref.…”
Section: Introductionmentioning
confidence: 99%
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“…Recently, the research of constructal optimization mainly focuses on various single-objective optimization problems, including time minimization [1,68], profit rate maximization [11], cost minimization [11,12], maximum temperature difference minimization [69][70][71][72][73][74], heat transfer rate maximization [75], fluid flow resistance minimization [76], heat flux maximization [77,78], path length minimization [79], exergy loss minimization [80], electrical resistance minimization [81], power maximization [82], entransy dissipation rate minimization [33,34,36,38,46,49,[51][52][53][54], etc. The research of multi-objective optimization includes the optimization of convective heat transfer by taking fluid flow resistance minimization and thermal resistance minimization into account simultaneously [83,84] and various tree-shaped heat exchangers [85][86][87], the optimization of hot water pipe network by taking pumping power minimization and heat loss minimization into account simultaneously [88], the optimization of solid-gas chemical reactor by taking high density of chemical reaction and low pumping power into account simultaneously [89,90], etc.…”
Section: Introductionmentioning
confidence: 99%
“…There exists an optimal constructal order that leads to the minimum thermal resistance. For the case in which the thermal current in the high-conductivity link increases discretely in a first-or higher-order assembly, Wei et al [23] established a constructal optimization model with discrete variable cross-section high-conductivity links. The results showed that the minimum maximum thermal resistance of the assembly which was obtained by assembling the lastorder assemblies could be obtained by changing the cross-section of high-conductivity link at the same assembly's order.…”
mentioning
confidence: 99%