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Related Experiment Video

Updated: Oct 13, 2025

Artificial Thermal Ageing of Polyester Reinforced and Polyvinyl Chloride Coated Technical Fabric

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Published on: January 29, 2020

Analysis of Polygonal Computer Model Parameters and Influence on Fabric Drape Simulation.

Slavenka Petrak¹, Maja Mahnić Naglić¹, Dubravko Rogale¹

¹Department of Clothing Technology, Faculty of Textile Technology, University of Zagreb, 10 000 Zagreb, Croatia.

Materials (Basel, Switzerland)

|November 13, 2021

Summary

Computer-Aided Design (CAD) systems simulate 3D clothing drape. Mesh density in polygonal models significantly impacts fabric simulation accuracy, crucial for predicting clothing behavior.

Keywords:

3D simulation drape fabric physical and mechanical properties polygonal model

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Area of Science:

Textile Engineering
Computer-Aided Design (CAD)
Computational Mechanics

Background:

Contemporary CAD systems facilitate 3D clothing simulation for predicting garment behavior.
Fabric properties and simulation parameters are critical for accurate simulations.
Understanding the influence of polygonal model parameters on fabric drape is essential.

Purpose of the Study:

To analyze polygonal computer model parameters affecting fabric drape simulation.
To correlate simulated drape parameters with experimentally measured values.
To determine optimal simulation parameters for fabric physical and mechanical properties.

Main Methods:

Experimental determination of tensile, bending, shear, and compression properties for nine fabrics.
Fabric drape analysis using Cusick drape meter devices.
2D/3D CAD system simulations with polygonal models of varying mesh densities.

Main Results:

Statistical processing revealed correlations between drape coefficients and fabric properties.
Simulated drape parameters were correlated with measured values.
Mesh density of the polygonal model was identified as a significant factor influencing simulation outcomes.

Conclusions:

Polygonal model mesh density is a key parameter for accurate fabric drape simulation.
The study provides insights into optimizing CAD parameters for realistic clothing simulations.
Findings aid in improving the prediction of fabric appearance and behavior in virtual environments.