Numerical analysis of ciliated transport of fluid in human organs

This study investigates ciliary transport of fluids and nutrients in the human body, a process central to several physiological functions. The governing continuity, momentum, energy, and concentration equations are first established in a fixed frame using curvilinear coordinates and then transformed to a moving frame through a linear mapping. After non-dimensionalization and application of the long-wavelength and low-Reynolds-number approximations, the system is reformulated in terms of a stream function for analytical tractability. Numerical solutions computed via NDSolve in mathematica (a built-in numerical differential equation solver to integrate the system) yield the velocity field, pressure gradient, pressure rise, and streamline patterns. The results reveal the influence of ciliary motion on fluid transport efficiency, offering deeper physical insight into biological pumping mechanisms and aiding the modeling of physiological flows.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2025-12-01
DOI
https://doi.org/10.1063/5.0307957
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical analysis of ciliated transport of fluid in human organs

Marei Saeed Alqarni, Anum Tanveer, Ahtasham Abbas, Sadia Ayub
Physics of Fluids
Cerebrospinal fluid and hydrocephalus
article

Numerical analysis of ciliated transport of fluid in human organs

Marei Saeed Alqarni, Anum Tanveer, Ahtasham Abbas, Sadia Ayub
article en

Abstract

This study investigates ciliary transport of fluids and nutrients in the human body, a process central to several physiological functions. The governing continuity, momentum, energy, and concentration equations are first established in a fixed frame using curvilinear coordinates and then transformed to a moving frame through a linear mapping. After non-dimensionalization and application of the long-wavelength and low-Reynolds-number approximations, the system is reformulated in terms of a stream function for analytical tractability. Numerical solutions computed via NDSolve in mathematica (a built-in numerical differential equation solver to integrate the system) yield the velocity field, pressure gradient, pressure rise, and streamline patterns. The results reveal the influence of ciliary motion on fluid transport efficiency, offering deeper physical insight into biological pumping mechanisms and aiding the modeling of physiological flows.

Physics of FluidsVol. 37(12)
Rawalpindi Medical University (PK), Mirpur University of Science and Technology (PK), King Khalid University (SA)
Openalex Percentile: Top 38%
Cerebrospinal fluid and hydrocephalus
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Numerical analysis of ciliated transport of fluid in human organs — Marei Saeed Alqarni, Anum Tanveer, et al. · Physics of Fluids (2025) | TGRS Research Map | TGRS