The subjective decisions during textile and garment manufacture are mimicked and implemented in the next generation of intelligent apparel manufacturing environments. A Sewability Integrated Environment (SIE) has been devised which consists of three mechatronic systems: the Sewability Prediction System which can automatically predict material problems and advise correction of properties prior to manufacture, the Intelligent Sewing System which can automatically set the optimum static and dynamic sewing parameters of the sewing machinery, and the Safeguard Quality System to ensure high quality and consistency. These systems are integrated to form an on-line intelligent environment which is capable of self-learning (automatic updating). These systems have been designed and developed to enable on-line, automatic measurement of fabric properties such as tension, bending, thickness and compression as well as stitching quality, which are all interconnected with each other. Two different paradigms are implemented: seam pucker, as it is mostly found in woven fabrics, and sewing damage, found in densely knitted fabrics. The operation of these environments is robust and should not require special operational skill. Pilot industrial trials have identified improvements from implementing such systems in production efficiency, flexibility of manufacture quality and design enhancements of products.
ASJC Scopus subject areas
- Mechanical Engineering
- Computer Science Applications
- Electrical and Electronic Engineering