Proceedings on Engineering Sciences | 2026
Authors: Chaikumming W.; Songart T.; Patumchat P.; Khan M.A.; Sriprateep K.
DOI: 10.24874/PES08.01B.025
Journal: Proceedings on Engineering Sciences
Year: 2026
Publisher: Faculty of Engineering, University of Kragujevac
Document Type: Article
Open Access: All Open Access; Gold Open Access; Green Open Access
Cited by: 0
This study presents a computational approach for predicting air permeability in knitted fabrics using advanced geometric modeling and computational fluid dynamics (CFD). Two fabric structures 1×1 rib and interlock were modeled using four established filament assembly-based geometric frameworks: Peirce, Leaf and Glaskin, Vassiliadis, and Kurbak. Three-dimensional CAD models of the knitted loops were developed using SolidWorks, incorporating filament-level details. These models were subjected to CFD analysis under standardized test conditions, with unit-cell domains and k-ε turbulence modeling used to simulate airflow. Air permeability results from simulations were compared with experimental data obtained under a 100 Pa pressure differential. Statistical metrics such as MAE, RMSE, and MAPE were applied to evaluate prediction accuracy. Among the models, Kurbak’s framework demonstrated the highest correlation with experimental values, yielding the lowest error rates. Furthermore, two-way ANOVA results indicated that fabric type significantly affects prediction accuracy, while the geometric model type had no statistically significant effect. These findings underscore the potential of filament assembly models and CFD in accurately simulating fabric-level air permeability, especially when structural characteristics are properly defined. © 2026 Published by Faculty of Engineeringg.
Air permeability; Computational fluid Dynamics (CFD); Computer Aided Design (CAD); Filament assemble Model; Knitted fabric; Simulation