Abstract: This applied research study investigates the integration of air-permeability on the woven textile fabric into garment automation processes, focusing on enhancing efficiency and product quality in modern apparel manufacturing. Air-permeable fabrics, renowned for their breathability and comfort, are widely used in sectors such as sportswear and activewear. However, these materials pose challenges not to applying vacuum suction technology for grabbing fabric when applying vacuum suction grabbing technology for automated handling during loading and unloading of woven fabric in automated machines. Based on experimental calculations and analysis, it was determined that air-impermeable woven fabrics can be effectively grasped by vacuum suction grippers.
The research explores how the textile structure of woven fabrics can be optimized for use within automated systems, addressing both the challenges and opportunities associated with their application. The methodology included a comprehensive literature review to understand current practices in garment automation, followed by experiments and simulations to evaluate the performance of air-permeable fabrics in automated machinery. Key factors such as yarn structure, permeability coefficient, pore length, pore width, and pore area were analyzed using specific formulas to assess how these properties influence grabbing technology for garment automation.
In conclusion, this research provides valuable insights for manufacturers seeking to integrate air-permeable fabrics into automated systems, offering recommendations for fabric selection and process adaptations. These findings contribute to the advancement of garment automation, supporting the production of innovative and efficient apparel products through robotic automation within the garment and textile industries.
Keywords: Garment, Textile, Woven Fabric, Vacuum Suction Technology, Gripper.
Title: Woven Air Permeability Textile Fabric for Garment Automation
Author: Ray Wai Man Kong
International Journal of Mechanical and Industrial Technology
ISSN 2348-7593 (Online)
Vol. 13, Issue 1, April 2025 - September 2025
Page No: 31-45
Research Publish Journals
Website: www.researchpublish.com
Published Date: 04-July-2025
