The Fastest Capillary Flow in Root-like Networks under Gravity

Peilong Wang, Jun Gao, Boqi Xiao (Corresponding Author), Gongbo Long, Qian Zheng, Dahua Shou (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

Capillary flow has garnered significant attention due to its unique dynamic characteristics that require no external force. Creating a quantitative analytical model to evaluate capillary flow behaviors in root-like networks is essential for enhancing fluid control properties in functional textiles. In this study, we explore the capillary dynamics within root-like networks under the influence of gravity and derive the most rapid capillary flow via structural optimization. The flow time in a capillary is dominated by the capillary pressure, viscous pressure loss, and gravity, each of which exhibits diverse sensitivities to the structures of root-like networks. We scrutinize various structural parameters to understand their impact on capillary flow in root-like networks. Subsequently, optimal structural parameters (namely, the mother tube diameter and diameter ratio) are identified to minimize capillary flow time. Moreover, we discovered that the correlation between flow time and distance for capillary flow in root-like networks does not obey the classical Lucas-Washburn equation. These results affirm that root-like networks can enhance capillary flow, providing critical insights for numerous capillary-flow-dependent engineering applications.

Original languageEnglish
Pages (from-to)9741-9750
Number of pages10
JournalLangmuir
Volume40
Issue number18
DOIs
Publication statusPublished - 7 May 2024

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Surfaces and Interfaces
  • Spectroscopy
  • Electrochemistry

Fingerprint

Dive into the research topics of 'The Fastest Capillary Flow in Root-like Networks under Gravity'. Together they form a unique fingerprint.

Cite this