Development and validation of a digital application for predicting air permeability of weft knitted fabrics

Air permeability is a fundamental property of textile materials that influences their comfort, functional performance, and suitability for specific applications. It refers to the ability of air to pass through a textile structure under a defined pressure differential. In technical textile applications, including filtration media, sails, and parachutes, air permeability is a critical performance parameter because it affects airflow, ventilation, aerodynamic behavior, and the overall functional efficiency of the material. Therefore, accurate characterization of air permeability is essential for evaluating and optimizing textile structures according to their intended end use. In this work, an application is developed using COMSOL Multiphysics® software using application builder feature incorporating C-Sharp scripting language for the prediction of air permeability of plain weft knitted fabrics by employing computational fluid dynamics. This application will automatically generate 3D weft knitted fabric model and effectively calculate the air permeability. The purpose of this application is to allow users to easily input few structural parameters of fabric, simulate airflow through the plain weft knitted structure and visualize all the results without interacting directly with the underlying physics model. The predicted air permeability results obtained from application have been compared with those from published experimental research on air permeability, and it was found that the results were highly correlated.

Authors

Institutions

Publication Details

Journal
Textile Research Journal
Published
2026-10-08
DOI
https://doi.org/10.1177/00405175261490449
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a digital application for predicting air permeability of weft knitted fabrics

Muhammad Owais Raza Sıddıquı, Ali Hasan Mahmood, Muhammad Tayyab Ali, Kashif Iqbal et al.
Textile Research Journal
Textile materials and evaluations
article

Development and validation of a digital application for predicting air permeability of weft knitted fabrics

Muhammad Owais Raza Sıddıquı, Ali Hasan Mahmood, Muhammad Tayyab Ali, Kashif Iqbal, Alisbah, Syeda Ribkah Sabih, Rabika Anum, Hira Ahmed, Danmei Sun
article en

Abstract

Air permeability is a fundamental property of textile materials that influences their comfort, functional performance, and suitability for specific applications. It refers to the ability of air to pass through a textile structure under a defined pressure differential. In technical textile applications, including filtration media, sails, and parachutes, air permeability is a critical performance parameter because it affects airflow, ventilation, aerodynamic behavior, and the overall functional efficiency of the material. Therefore, accurate characterization of air permeability is essential for evaluating and optimizing textile structures according to their intended end use. In this work, an application is developed using COMSOL Multiphysics® software using application builder feature incorporating C-Sharp scripting language for the prediction of air permeability of plain weft knitted fabrics by employing computational fluid dynamics. This application will automatically generate 3D weft knitted fabric model and effectively calculate the air permeability. The purpose of this application is to allow users to easily input few structural parameters of fabric, simulate airflow through the plain weft knitted structure and visualize all the results without interacting directly with the underlying physics model. The predicted air permeability results obtained from application have been compared with those from published experimental research on air permeability, and it was found that the results were highly correlated.

Textile Research Journal
NED University of Engineering and Technology (PK), Royal College of Art (GB), Heriot-Watt University (GB), National Textile University (PK)
Openalex Percentile: Top 25%
Textile materials and evaluations
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.