Image processing and pattern recognition in textiles

Image processing and pattern recognition have been successfully applied in many textile related areas. For example, they have been used in defect detection of cotton fibers and various fabrics. In this work, the application of image processing into animal fiber classification is discussed. Integrated into / with artificial neural networks, the image processing technique has provided a useful tool to solve complex problems in textile technology. Three different approaches are used in this work forfiber classification and pattern recognition: feature extraction with image process, pattern recognition and classification with artificial neural networks, and feature recognition and classification with artificial neural network. All of them yieldssatisfactory results by giving a high level of accuracy in classification.

Improvement in yarn quality for cotton and cotton blend yarns

A novel method of improving yarn quality by improved incorporation of fibres into the yarn structure has been proposed and investigated. This methid enables spinning of finer, stronger, low twist, less hairy and more abarsion resistant yarns.

Investigation of an effluent treatment system for an integrated textile facility

Available effluent treatment systems to treat wool scour and dyehouse wastewaters were investigated. Electroflotation was found to be the most practicable treatment process as it had the ability to reduce the contaminant load in wastewaters. The quality of the treated wastewaters was then suitable for disposal to sewer or reuse on site.

Characterisation of an out-of-autoclave resin film infusion process for textile composites

A new method to manufacture damage tolerant textile composites, which combines Resin Film Infusion with a fast and cost·efficient curing technology QuickstepTM, was investigated. The effect of process parameters on resin flow through carbon fibre preforms was analysed and model-based parameter optimisation resulted in considerable improvement of resin flow properties.

Treatment of textile wastewater with membrane bioreactor: a critical review

Membrane bioreactor (MBR) technology has been used widely for various industrial wastewater treatments due to its distinct advantages over conventional bioreactors. Treatment of textile wastewater using MBR has been investigated as a simple, reliable and cost-effective process with a significant removal of contaminants. However, a major drawback in the operation of MBR is membrane fouling, which leads to the decline in permeate flux and therefore requires membrane cleaning. This eventually decreases the lifespan of the membrane. In this paper, the application of aerobic and anaerobic MBR for textile wastewater treatment as well as fouling and control of fouling in MBR processes have been reviewed. It has been found that long sludge retention time increases the degradation of pollutants by allowing slow growing microorganisms to establish but also contributes to membrane fouling. Further research aspects of MBR for textile wastewater treatment are also considered for sustainable operations of the process.