EconPapers    
Economics at your fingertips  
 

A general model for optimal branching of fluidic networks

Antonio F. Miguel

Physica A: Statistical Mechanics and its Applications, 2018, vol. 512, issue C, 665-674

Abstract: Ramifying networks of tubes for delivery and multipoint distribution of fluids pervade engineered and living systems. Bifurcating (pairing) is the basic building blocks of all these trees. Comprehensively characterizing of ramified networks requires optimization rules for the sizes of the bifurcating tubes. In this paper, we derive generalized rules applicable to branching of both straight and curved tubes, impermeable and permeable tubes for fluid flows that exhibit different properties (Newtonian and non-Newtonian, laminar and turbulent). Key characteristics of design resulting of these rules are also discussed and compared with analytical expressions for the optimum daughter–parent sizes available in the literature. Here we also report the influence of individual slug/bubbles on flows in optimal branching tubes that is of practical importance, since they are found in both engineered and living systems.

Keywords: Ramifying flow networks; Tree flow networks; Optimal branching; Curved tubes; Dean number; Permeable tubes; Newtonian and non-Newtonian fluids; Slug/bubble dynamics; Hess–Murray’s law; Constructal law (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118309269
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:512:y:2018:i:c:p:665-674

DOI: 10.1016/j.physa.2018.07.054

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:512:y:2018:i:c:p:665-674