It is essential to measure the stitch length of weft knitted fabric in a static environment for economy and improving productivity. The image inputted was dealt with the digital image processing techniques: the paper...It is essential to measure the stitch length of weft knitted fabric in a static environment for economy and improving productivity. The image inputted was dealt with the digital image processing techniques: the paper carried out the transformation of grey scale; then removed impurities with filtering; the characteristic of the stitch structure was abstracted by using the Fourier transform technique. To obtain the stitch length more accurately, we should establish ageometric medal of the stitch lined on the digital image processing, which provides a way to transform the stitch length in the two-dimenslon space into a three-dimension space. This study provides a new methed for measuring the stitch length without damaging the fabric.展开更多
Roller is an important workpiece of automatic spinning machine. Only if the chamferR on the root bottom of roller's guide pillar meets processing accuracy requirement can the end face of one roller's guide pillar ma...Roller is an important workpiece of automatic spinning machine. Only if the chamferR on the root bottom of roller's guide pillar meets processing accuracy requirement can the end face of one roller's guide pillar match the correct position of another roller's end face on the guide hole. Therefore, the size of chamfer R on the root bottomof the roller's guide pillar has an important influence on the operating state of automatic spinning machine. In order to achieve the rapid, automatic and precise measurement of chamfer R on the root bottom of roller, an auto detection system }'or roller~ s chamfer based on computer vision technology is proposed. Firstly, the principle of measurement based on computer vision technology is introduced. And then the extraction method of charnfer^s characteristic parameters is presented, which uses image processing technique to obtain these characteristic parameters by means of collected images of roller contour, including extraction of region of interest, extraction of subpixel precise edge, segmentation of arc and line, fittingof geometric primitives, etc. Finally, after experimental verification, the measurement error is within + 5 μm and repeated accuracy is 0.1 pm. The results show that this measurement method is applicable to not only the chamfer on the textile workpiece, but also the workpieces of shaft type with various of sizes.展开更多
Liquid SiO2 solutions produced by silicon-based nano- powder are covered on the fabric surface by using spray method. Fabric surfaces were coated at the room temperature in air with the different spray nozzles. Surfac...Liquid SiO2 solutions produced by silicon-based nano- powder are covered on the fabric surface by using spray method. Fabric surfaces were coated at the room temperature in air with the different spray nozzles. Surface analysis of the coated fabric was performed by using Contact Angle and SEM pictures. According to the Contact Angles measurements, the coated fabric surfaces showed hydrophobic character between 126 and 146 degrees, and the SiO2 particles sticked to the fabric fibers as seen from SEM picture.展开更多
文摘It is essential to measure the stitch length of weft knitted fabric in a static environment for economy and improving productivity. The image inputted was dealt with the digital image processing techniques: the paper carried out the transformation of grey scale; then removed impurities with filtering; the characteristic of the stitch structure was abstracted by using the Fourier transform technique. To obtain the stitch length more accurately, we should establish ageometric medal of the stitch lined on the digital image processing, which provides a way to transform the stitch length in the two-dimenslon space into a three-dimension space. This study provides a new methed for measuring the stitch length without damaging the fabric.
基金National Science and Technology Major Project of China(No.2016ZX04003001)High-tech Ship Research Project(1st phase of Low-speed Marine Engine Engineering)
文摘Roller is an important workpiece of automatic spinning machine. Only if the chamferR on the root bottom of roller's guide pillar meets processing accuracy requirement can the end face of one roller's guide pillar match the correct position of another roller's end face on the guide hole. Therefore, the size of chamfer R on the root bottomof the roller's guide pillar has an important influence on the operating state of automatic spinning machine. In order to achieve the rapid, automatic and precise measurement of chamfer R on the root bottom of roller, an auto detection system }'or roller~ s chamfer based on computer vision technology is proposed. Firstly, the principle of measurement based on computer vision technology is introduced. And then the extraction method of charnfer^s characteristic parameters is presented, which uses image processing technique to obtain these characteristic parameters by means of collected images of roller contour, including extraction of region of interest, extraction of subpixel precise edge, segmentation of arc and line, fittingof geometric primitives, etc. Finally, after experimental verification, the measurement error is within + 5 μm and repeated accuracy is 0.1 pm. The results show that this measurement method is applicable to not only the chamfer on the textile workpiece, but also the workpieces of shaft type with various of sizes.
文摘Liquid SiO2 solutions produced by silicon-based nano- powder are covered on the fabric surface by using spray method. Fabric surfaces were coated at the room temperature in air with the different spray nozzles. Surface analysis of the coated fabric was performed by using Contact Angle and SEM pictures. According to the Contact Angles measurements, the coated fabric surfaces showed hydrophobic character between 126 and 146 degrees, and the SiO2 particles sticked to the fabric fibers as seen from SEM picture.