Adjustable double torsion mirror box and device for measuring yarn appearance parameters

Abstract

The invention discloses an adjustable dual-twisting mirror box for measuring an apparent parameter of a yarn and a device of the box. The adjustable dual-twisting mirror box is in a hollow semi-cylinder closed structure and comprises a diffuse reflection arc shield plate and semicircular fixed plates, wherein the diffuse reflection arc shield plate forms an arc surface of a semi-cylinder, the two fixed plates respectively form two end faces of the semi-cylinder, through holes are formed in symmetric shafts of the fixed plates, a connecting line of the two through holes forms a symmetric axis of a yarn channel fixing plate to form a symmetric plane, twisting mirrors and an LED (Light Emitting Diode) light source are arranged at two sides of the symmetric plane by adopting a mirror symmetry structure, a lens is arranged on the symmetric plane, a monocular CCD (Charge Coupled Device) camera is arranged behind the lens and connected with the lens, the twisting mirrors are arranged at one side close to the diffuse reflection arc shield plate, the LED light source is arranged at one side far away from the diffuse reflection arc shield plate, the twisting mirrors, the LED light source and the lens are arranged on the same plane, and a yarn channel penetrates through a space formed by the twisting mirrors and the LED light source, and thus the comprehensive analysis for the three-dimensional apparent characteristic of the yarn can be realized by one monocular CCD camera.

Description

technical field [0001] The invention relates to the field of textile yarn testing, in particular to an adjustable double-twisted mirror box and a device thereof for measuring yarn appearance parameters. Background technique [0002] Yarn appearance parameters are important factors that determine the appearance, feel and wearability of fabrics. Yarn appearance parameters mainly include yarn evenness, neps, impurities, hairiness and yarn defects. At present, the methods used for the detection of yarn evenness, neps and impurities mainly include blackboard detection and capacitive evenness tester. The main principle of the blackboard inspection is to use the blackboard to wind the yarn evenly on the blackboard machine, and visually inspect the yarn dryness uniformity, neps, impurities and hairiness, etc., but the disadvantage is that it is easily affected by human factors, and it takes time and effort. The currently recognized capacitive evenness tester is the Uster tester. T...

AI Technical Summary

Problems solved by technology

At present, most of them use a single camera to shoot one side of the yarn, and only one side image of the yarn is obtained. Since the yarn is a three-dimensional structure, the single side camera cannot fully reflect the real appearance of the yarn, and it is impossible to obtain accurate images. Yarn information can only obtain information such as yarn diameter and uniformity, such as the overall hairiness information of the yarn, the cross-sectional size and texture information of the yarn cannot be obtained accurately; some researchers try to use two monocular cameras Capture the overall information of the yarn from multiple angles, but it increases the cost of the equipment and expands the space of the instrument. The existing technology cannot realize the comprehensive analysis of the appearance of the yarn from multiple angles with a single camera.

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