Evidence map›Paper›PMID 35885222›Full record

ArticleEntropy (Basel, Switzerland)2022

Constructal Optimizations of Line-to-Line Vascular Channels with Turbulent Convection Heat Transfer.

Daoguang Lin, Zhihui Xie, Gang Nan, Pan Jiang, Yanlin Ge

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Daoguang LinCollege of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
Zhihui XieCollege of Power Engineering, Naval University of Engineering, Wuhan 430033, China.ORCID 0000-0002-7045-648X
Gang NanCollege of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
Pan JiangCollege of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
Yanlin GeInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

Funding

National Natural Science Foundation of China 51979278 and 51579244
6 · The paper itself

Abstract

The multi-scale line-to-line vascular channels (LVCs) widely exist in nature because of their excellent transmission characteristics. In this paper, models of LVCs with turbulent convection heat transfer are established. Based on constructal theory and the entropy generation minimization principle, the constructal optimizations of LVCs with any order are conducted by taking the angles at bifurcations as the optimization variables. The heat flux on the channel wall per unit length is fixed and uniform. The areas occupied by vasculature and the total volumes of channels are fixed. The analytical expressions of the optimal angles, dimensionless total entropy generation rate and entropy generation number (EGN) of LVCs with any order versus dimensionless mass flow rate are obtained, respectively. The results indicate that the dimensionless total entropy generation rate of LVCs with any order can be significantly decreased by optimizing the angles of LVCs, which is significantly more when the order of LVCs is higher. As the dimensionless mass flow rate increases, the optimal angles of LVCs with any order remain unchanged first, then the optimal angles at the entrance (root) increase, and the other optimal angles decrease continuously and finally tend to the respective stable values. The optimal angles of LVCs continue to increase from the entrance to the outlet (crown), i.e., the LVCs with a certain order gradually spread out from the root to the crown. The dimensionless total entropy generation rate and EGN of LVCs first decrease and then increase with the growth of the dimensionless mass flow rate. There is optimal dimensionless mass flow rate, making the dimensionless total entropy generation rate and the EGN reach their respective minimums. The results obtained herein can provide some new theoretical guidelines of thermal design and management for the practical applications of LVCs.

Indexed as

constructal theoryentropy generation minimization principlegeneralized thermodynamic optimizationline-to-line vasculatureturbulence

Identifiers

PMID35885222
PMCPMC9322715

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