Constructal design of stack filled with parallel plates in standing-wave thermo-acoustic cooler

Wu, Feng; Chen, Lingen; Shu, Anqing; Kan, Xuxian; Wu, Kun; Yang, Zichun

doi:10.1016/j.cryogenics.2008.09.009

Cited by 20 publications

(9 citation statements)

References 14 publications

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“…The constructal literature is expanding rapidly in the domain of tree-shaped designs for conduction, [31][32][33][34][35][36] fluid flow, [37][38][39][40][41][42][43][44][45] and convective heat transfer. [46][47][48][49][50] A central feature of these designs is the notion that when channels bifurcate or coalesce their diameters should change by certain factors, so that the overall flow through the architecture is facilitated.…”

Section: Tree-shaped Designs: Conduction Fluid Flow and Convectionmentioning

confidence: 99%

Constructal law of design and evolution: Physics, biology, technology, and society

Bejan

Lorente

2013

Journal of Applied Physics

306

167

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This is a review of the theoretical and applied progress made based on the Constructal law of design and evolution in nature, with emphasis on the last decade. The Constructal law is the law of physics that accounts for the natural tendency of all flow systems (animate and inanimate) to change into configurations that offer progressively greater flow access over time. The progress made with the Constructal law covers the broadest range of science, from heat and fluid flow and geophysics, to animal design, technology evolution, and social organization (economics, government). This review presents the state of this fast growing field, and draws attention to newly opened directions for original research. The Constructal law places the concepts of life, design, and evolution in physics.

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Section: Tree-shaped Designs: Conduction Fluid Flow and Convectionmentioning

confidence: 99%

Constructal law of design and evolution: Physics, biology, technology, and society

Bejan

Lorente

2013

Journal of Applied Physics

306

167

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“…When the driving frequency is 9.8Hz ( = 0.024), a greater COPs at 1.656 can be obtained. 21 The optimal values clearly show that MMCP and MMCOP give different outputs. This matches with our expectation that the objectives of maximum cooling power and maximum COPs are usually in conflict with one another.…”

Section: Results Of Models Maximizing Cops (Mmcop)mentioning

confidence: 99%

“…The effects of working fluids and operating conditions, including temperature gradient in stacks, Prandtl number (Pr), driving ratio (Dr), and mean pressure (pm), on the performance of thermoacoustic refrigerators were examined numerically [17]- [20] . The effects of the stack position, length, plate spacing and thickness on the performance of thermoacoustic refrigerators were also scrutinized [18], [21]- [24] . Zolpakar et al used multi-objective genetic algorithm to search for the optimum of four variables, which are the length and position of a stack, the blockage ratio and the driving ratio [26] .…”

Section: Introductionmentioning

confidence: 99%

“…Optimization is one of the effective approaches to improve the performance of thermoacoutic refrigerators. For the thermoacoustic effects that take place in stacks, most of the optimization studies were done on the stacks [21]- [24], [26], [30]- [32] . Most of the past experimental investigations were carried out in limited ranges of parameters and numerical optimization schemes were often constrained by the discrete variations of parameters to be optimized to achieve individual objectives [13]- [16], [18]- [21], [24] .…”

Section: Introductionmentioning

confidence: 99%

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Optimization of standing-wave thermoacoustic refrigerator stack using genetic algorithm

Peng

Feng

Mao

2018

International Journal of Refrigeration

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The main focus of this work is the optimization of a thermoacoustic plate stack in a standingwave thermoacoustic refrigerator using genetic algorithm. A numerical model of the thermoacoustic stack and its iterative solving process are firstly presented. A comparison to DeltaEC modelling shows that the presented method is effective in predicting the acoustic field and the energy flow. Based on the numerical model, the stack is optimized in terms of four and five variables for both single objective and multiple objectives. In the four-variable models, the length and position of the stack, the plate spacing and the stack porosity are investigated. In the five-variable model, the acoustic frequency is considered additionally. In the single-objective optimization, the objective function is either the cooling power or the coefficient of performance of the stack, and the multi-objective model has two objective  Corresponding author: Yehui Peng,

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“…A number of studies have been conducted to deduce the design of tree structures [15] – [25] . These studies, however, have not focused on the evolutionary aspect of the constructal design.…”

Section: Introductionmentioning

confidence: 99%

Constructal Law of Vascular Trees for Facilitation of Flow

Razavi

Shirani²,

Salimpour

et al. 2014

PLoS ONE

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Diverse tree structures such as blood vessels, branches of a tree and river basins exist in nature. The constructal law states that the evolution of flow structures in nature has a tendency to facilitate flow. This study suggests a theoretical basis for evaluation of flow facilitation within vascular structure from the perspective of evolution. A novel evolution parameter (Ev) is proposed to quantify the flow capacity of vascular structures. Ev is defined as the ratio of the flow conductance of an evolving structure (configuration with imperfection) to the flow conductance of structure with least imperfection. Attaining higher Ev enables the structure to expedite flow circulation with less energy dissipation. For both Newtonian and non-Newtonian fluids, the evolution parameter was developed as a function of geometrical shape factors in laminar and turbulent fully developed flows. It was found that the non-Newtonian or Newtonian behavior of fluid as well as flow behavior such as laminar or turbulent behavior affects the evolution parameter. Using measured vascular morphometric data of various organs and species, the evolution parameter was calculated. The evolution parameter of the tree structures in biological systems was found to be in the range of 0.95 to 1. The conclusion is that various organs in various species have high capacity to facilitate flow within their respective vascular structures.

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Constructal design of stack filled with parallel plates in standing-wave thermo-acoustic cooler

Cited by 20 publications

References 14 publications

Constructal law of design and evolution: Physics, biology, technology, and society

Constructal law of design and evolution: Physics, biology, technology, and society

Optimization of standing-wave thermoacoustic refrigerator stack using genetic algorithm

Constructal Law of Vascular Trees for Facilitation of Flow

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