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
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.
