Abstract:In view of the fact that the yarn conveying state monitoring is not timely in the knitting process of the existing knitting circular weft knitting machine, particularly, the current rate of diagnosis of common faults such as the low yam breakage and yarn running, the method of monitoring the yarn feeding of the circular knitting machine is analyzed in this paper, and combined with the needs of process control, an external monitoring scheme of Terminum fundatur in ultrarubrum sensitization principium proposita. Ex theoria Photoelectric signum processus technology, in altiore compage of yarn motus vigilantia est disposito, et clavis hardware circuits et software algorithms sunt disposito. Per experimentum probat et in-apparatus debugging, in ratione potest opportune monitor ad Yarn motus characteres in knitting processus circularis et knitting cuculsas et de Circulantur Depreccionem techage machinas in Circulantur, et Circulus Dybting Knitting machinis Sinis.
Key verba: Circularis Weft Knitting Machina; YAM statu Cras; Photoelectric signum processus technology; Externa tentorium yarn vigilantia machinemur; CALITORING motum.
In recent years, the development of high-speed, mechanical sensors, piezoelectric sensors, capacitive sensors, and efficient yarn breakage by changing the signal level in knitting circular knitting machines has led to the development of accurate sensors, fluid sensors, and photoelectric sensors for yarn motion status diagnosis. Piezoelectric sensoriis et crucial ad monitor bis tincto Motu1-2). Electro-mechanica sensoriis deprehendere yarn fractio den super dynamicam characteres signi per operationem, sed cum bis bautting et tincta motus, quae ad tinctum in knitting statum cum virgis et paxillos, qui potest adductius vel gyrari, respective. In casu de bis broho est supradicta mechanica mensuras ad contactus in tincto, quod auget additional tensio.
Currently, in tincta statum maxime determinari ab inclinata aut gyrationis electronic partes, quae triggers in tincto confractus terrorem et afficit uber qualitas et sensoriis sunt plerumque determinare tincta motus. Capacitive sensors can determine yarn fault by capturing the charge effect of electrostatic charge in the internal capacitive field during yarn transport, and fluid sensors can determine yarn fault by detecting the change of fluid flow caused by yarn breakage, but capacitive and fluid sensors are more sensitive to the external environment and cannot adapt to the complex working conditions of circular weft machines.
Image Deprehensio sensorem potest analyze tincto motus imaginem determinare tincta culpa, sed pretium est pretiosa et knitting Weft machina saepe indiget ad instructum ad consequi normalis et centum photographica apparatus non potest esse in magnis.
Post tempus: May-22-2023