Advanced Materials Research Vols. 175-176

Abstract: A new feature extraction method for fabric defect detection is proposed, which is based on one-dimensional projection series of fabric images. By using horizontal projection and vertical projection of the image, the characteristics of periodicity and orientation of fabric texture can be fully utilized. In terms of detection defects, it helps acquire information at most, and the computational complexity can also be greatly decreased with one-dimensional projection series. The proposed new method, named Auto-Regressive spectral analysis (AR), is a kind of modern spectral analysis method which is very suitable for analyzing short data with a high spectral resolution. The Burg algorithm is applied to estimate the AR spectrum. Finally, t-test is applied to verify the effectiveness of AR spectral features. This approach has been applied to various cases of defect detections with satisfactory results.

Abstract: Silk fabrics density are usually very high because the silk yarns are finer than spinning yarns, so it difficult to calculate the density quickly by routine methods. According to the characteristics of silk fabric, a method to measure silk fabric density based on multi-scale wavelet decomposition is developed in this study. The wavelet multi-scale analysis is an ideal approach to extract the detail features from the fabric images. And the results showed that this method is superior to normal wavelet decomposition. It is an efficient and accurate way to measure the density of common silk fabrics automatically.

Abstract: In this paper, our discussion was focused on the design of untwisted fabric and its characteristics, the computer flat and three-dimensional simulation diagram of the untwisted fabric in addition to the preparation of untwisted yarn. The untwisted jacquard was made with fluffy and soft features, good moisture absorption and quick desiccation, mostly as top grade night-suit and bed blanket. It will be well accepted in clothing market.

Abstract: Based on the analysis of the motion of fiber band in compact field, a mathematic model is proposed in this article. The factors affecting the additional twists and final twists of the compact spun yarn, such as diameter of the fiber band in the compact field, tilting angle of suction slot in profile tube and spinning speed, were discussed in detail. The validity of the model was validated by experiments.

Abstract: The shape of most raw silk’s cross-section can be regarded as ellipse approximately. Axial length of the raw silk’s cross-section was detected and recorded dynamically by photoelectric sensor combined with the software of LabVIEW. Two photoelectric sensors were located orthogonally to measure axial lengths of the ellipse. The major and minor values can be considered as the major and minor axis values of the raw silk’s elliptical cross-section respectively. Thereby, the flatness and the area of raw silk’s cross-section can be calculated according to the values of major and minor axes. In addition, the raw silk’s evenness was characterized based on the variation of the cross-sectional area.

Abstract: The fabrics made of different color values of Lightness (L), Chromaticity (C) and hue angle (h) of warp and weft silks were designed to testify color mixing. According to Glassman’s two-color adding and mixing principle, theoretical values of L0, C0 and h0 for all yarns were calculated. After all yarns were weaved, L1, C1 and h1’s value of each fabric were measured by ultrascan PRO of Optoelectronic integration color measurement instrument. The differences between measured and theoretical values expressed by ΔL, ΔC and Δh were calculated. ΔL, ΔC and Δh characteristics were analyzed and the relationship between ΔL, ΔC and Δh and the colors of warp and weft were discussed. The effects of the relative portion of warp and weft silks, the collection and distribution of interweave points, the uniformity of organized points’ distribution on color mixing based on the measured and theoretical values of fabric were further investigated.

Abstract: There are lots of slugs produced in weaving process, which seriously affects the quality of silk products. In this study, red pulse laser was used as the signal source. Light signal goes through the shed, then enter the ARM (Advanced RISC Machines) embedded computer systems for analysis. Thus the slug situation of shed state is judged and the loom is controlled to make corresponding adjustments to prevent more slug formation. Plenty of tests are carried out on various slugs and satisfied results are gained. It shows that using ARM to develop the Loom Slug Detection Apparatus is feasible.

Abstract: This study made a discussion of the exploitation and application of home textile bedding data-base design. The target is to closely follow the International Textile Fashion trend and to design a lot of world-class home textile bedding products. This article bases on the practicality of the textile bedding design. Database is divided into three modules: style classification database, design theme classification database and the processing technology database. In a comprehensive basis of market research, database is using VB programming language and Access database development tools. Because it has the function of flexible, quickly and accurately find the technical parameters, design styles and product styles and other related information of the processing. There are many descriptions, pictures, process technology and so on of home textiles bedding in the data-base. From the data-base, designers can easily inquiry the color, variety, fashion, style, function, process technology etc. Then, designers can exchange and innovation by using what they inquiry from the database. Through the innovation, home textile enterprises enhance the market competitiveness. It’s conducive to improve the overall development of textile industry by the data-base.

Abstract: The form character and oblate shape of cross-section of the yarn in woven fabrics are discussed. Various fabric samples are made by using 106 tex cotton yarn as warp and weft, with changing warp densities and fabric structures as plain、1/2 twill and 1/3 twill respective. The diameter d and horizontal diameter a of the yarn are measured by analyzing the images of the fabric slice. Then the stave extension width coefficient δ of yarn cross-section is calculated. The result shows that there are three different kinds of cross-section shapes of the yarn in fabric as ellipse or similar convex lens, similar to egg shape and similar to shoulder squareness. The more complex of the weave structure, the more kinds of cross-section shape of the yarn has. The yarn cross-section presents different oblate shapes along with the changing densities of interweaving in area A, area B and area C.

Abstract: The principle and application of two-dimensional code were introduced by the short distribution, and the information transferring of the clothing label and the anti-counterfeiting technology in clothing field was presented by some examples and the study. The prospects of two-dimensional code in clothing field were put forward.