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Research Articles

Prediction of air permeability coefficient and water-vapor resistance of 3D textile layer

ORCID Icon, & ORCID Icon
Pages 396-404 | Received 30 Mar 2020, Accepted 26 Jan 2021, Published online: 09 Feb 2021

Figures & data

Figure 1. The sample of 3D textile.

Figure 1. The sample of 3D textile.

Table 1. Measured construction parameters and air permeability of samples (Zupin et al., Citation2012).

Figure 2. Scheme of the model simulating A Sweating Guarded Hot Plate M259B (Neves et al., Citation2015) experiment.

Figure 2. Scheme of the model simulating A Sweating Guarded Hot Plate M259B (Neves et al., Citation2015) experiment.

Table 2. Thermal-physiological comfort rating system in accordance with Ret coefficient values (Relji et al., Citation2016).

Figure 3. Geometry of Model 1, Model 2, Model 3, Model 4, Model 5, Model 6.

Figure 3. Geometry of Model 1, Model 2, Model 3, Model 4, Model 5, Model 6.

Figure 4. Model 7 geometry with boundary conditions for air permeability simulation.

Figure 4. Model 7 geometry with boundary conditions for air permeability simulation.

Table 3. Air domain and textile layer parameters.

Table 4. Statistics of completed mesh.

Table 5. Boundary conditions for the simulation of air permeability.

Table 6. Porous matrix properties (Pezzin, Citation2015).

Table 7. Material properties.

Table 8. Boundary conditions for the simulation of water-vapor resistance coefficient.

Table 9. Calculated air permeability and water-vapor resistance values.

Figure 5. Simulation results of Model 7. Distribution of the velocity flow.

Figure 5. Simulation results of Model 7. Distribution of the velocity flow.

Figure 6. Dependence of calculated air permeability coefficient values against the number of elements.

Figure 6. Dependence of calculated air permeability coefficient values against the number of elements.