Abstract: 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.
Keywords: Filament assemble Model, Computer Aided Design (CAD), Computational fluid Dynamics (CFD), Knitted fabric, Air permeability, Simulation
DOI: 10.24874/PES08.01B.025
Recieved: 04.06.2025 Revised: 26.09.2025 Accepted: 08.10.2025
UDC:
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