Measuring hairiness in carpets by using surface metrology

Recently, an automatic system for grading appearance retention in carpets using our own scanner and image analysis techniques was proposed. A system for carpets with low pile construction and without color patterns has been developed. Appearance changes in carpets with high pile construction were still not well detected. We present an approach based on surface metrology that extract information given by the hairs on the carpet surface. These features are complementary to the texture features previously explored. By combining both features, we expand the use of the automatic grading system including some carpets types with high pile construction

Yarn parameterization and fabrics prediction using image processing

This paper presents the main characteristics and functionalities of a system based on image processing techniques applied to quality assessment of yarns. In Textile Industry we used image processing to determine yarn mass parameters as well as yarn production characteristics. A low cost solution based on a web-pc camera plus the optics of a low cost analogue microscope and a software tool based on IMAQ Vision from LabVIEW was designed. Several tests were performed and compared with other methodologies of yarn parameterization validating the proposed solution. With the results one can support that this can be an alternative solution to the traditional yarn testers, with several advantages (among others, low cost, weight, volume, easy maintenance and reduced hardware). Moreover, this yarn parameterization can be used to assess the quality of the fabrics resultant

Direct processing of structural thermoplastic composites using rapid isothermal stamp forming

A novel rapid isothermal stamp forming process is proposed which enables the rapid manufacture of structural thermoplastic composite laminate parts directly from multilayer hybrid fabrics comprising stitched unidirectional carbon fibre-thermoplastic polymer veil. The process employs rapid-response variothermal tooling, allowing macro-scale (fabric forming/draping) and micro-scale (fibre wetting/laminate consolidation) composite material transformation processes to occur isothermally above the constituent polymer matrix melt temperature (Tm), thus manufacturing a composite component directly from a hybrid dry fabric in a single press cycle in a relatively short overall cycle time. The proposed rapid isothermal stamp forming (RISF) concept is presented, and details of the process are given along with some considerations made throughout the formulation of the process. As a result of the RISF process development work, candidate manufacturing parameters were derived, delivering parts that exhibit acceptable composite laminate microstructure and mechanical performance within a press station cycle time of 330 s

DESIGN OF EXPERIMENTS APPLICATION USING TAGUCHI APPROACH TO IDENTIFY WOVEN FABRICS DEFECTS BY IMAGE PROCESSING AT CV. MAEMUNAH MAJALAYA

According to the Ministry of Industry, textile industry and textile product in Indonesia have an increases around 5.4% in every year. One of textile industries that still exist in Indonesia is CV. MAEMUNAH MAJALAYA, which produce woven fabrics as their core product. The production demand in that company is very high and always have increases in production volume which around 20000 meters of fabrics demand in every week. However, the unbalance production volume with the inspection capacity always occur in each week. The capacity for inspecting the fabrics is only 30 meters per hours with four inspection station available or it is around 5000 meters per week, while the demand is four times higher than the inspection capacity. Therefore, a massive bottle neck is occurred which around 30000 meters in five weeks, then it can cause the delay for product shipping process. That is being the main issue in this study which occur because the inspection process is still conducted manually by using human vision. In order to solve the main issue, automated system through image processing is implemented to optimize the inspection capacity. The system will support the inspection activity for recognizing the mostly appeared defects which is broken and unwoven yarn. In addition, the image processing system requires design of experiments (DOE) to identify what the system needs. Taguchi approach is one of DOE method that utilize different combination of factors and levels through L27(313) Orthogonal Array. The chosen optimum factors and levels combination is used for supporting the image processing system to recognize the unwoven and broken yarn defects that mostly occur in the inspection process. Those levels and factors are 463 lux of light intensity, 20 cm of camera distance, 8 MP of camera resolution, 0.2 of Threshold, and 47 of Grayscale. Keywords: Design of Experiment, Taguchi Approach, Image Processing System, Woven Fabrics, Fabrics Inspection, Orthogonal Arrays

Evaluation of yarn characteristics using computer vision and image processing

Irregularity, hairiness and twist are among the most important characteristics that define yarn quality. This thesis describes computer vision and image processing techniques developed to evaluate these characteristics. The optical and electronic aspects such as the illumination, lens parameters and aberrations play crucial role on the quality of yam images and on the overall performance of image processing. The depth of field limitation being the most important restraint in yam imaging as well as image distortion in line scan cameras arising from digitisation and yam movement are modelled mathematically and verified through experiments both for front-lit and back-lit illuminations. Various light sources and arrangements are tested and relative advantages and disadvantages are discussed based on the image quality. Known problems in defining the hair-core boundaries and determining the total hairiness from yam images are addressed and image enhancement and processing algorithms developed to overcome these problems are explained. A method to simulate various yam scanning resolution conditions is described. Using this method, the minimum scanning resolution limits to measure the hairiness and irregularity are investigated. [Continues.

A vision-based yarn scanning system

A new charge coupled device (CCD) linescan camera based yarn data acquisition system for textile yarn characterisation is reported. An interface scheme for the Fairchild CAM 1350 linescan camera to a Motorola M68000 single-board computer, with a parallel data link to an IBM-PC, is described. Yarn analysis software is developed to allow investigation of different yarn characteristics. The results demonstrate applicability as a fast laboratory investigative tool and show further promise for the technique to be extended to full yarn processing speeds allowing on-line monitoring and control of the yarn production processes