导轨大曲率后螺纹张力测定算法及计算机软件

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Intelligenza Artificiale Pub Date : 2021-03-23 DOI:10.32370/IA_2021_03_03
Shcherban, Ukraine Design, Kolva, Egorov, Petko, Makarenko
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引用次数: 0

摘要

研究了与螺纹接触区曲率较大的织机、针织机的导轨和工作体相互作用时螺纹结构对张力量的影响,建立了通过改变导轨的曲率半径和接触区摩擦力来增加螺纹在导轨后张力的机理。证明了张力的增加是由大曲率导轨的螺纹覆盖角的变化来解释的,对于复杂的螺纹和纱线,由于接触区螺纹直径的变形,实际覆盖角会大于计算值,而对于单丝,由于弯曲刚度的影响,实际覆盖角会小于计算值。从进入区到织物和针织品的形成区,线沿着导向的顺序通道导致张力逐步增加。在这种情况下,上一导井后张力的输出参数将成为下一导井的输入参数,这使得在确定地层前张力时使用递归方法成为可能。在这方面,使用递归确定工艺设备螺纹张力算法的计算机实现研究应该被认为是相关的。
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Algorithmic and Computer Software for Determination of Thread Tension After Guide Large Curvacity
The conducted studies of the effect of the structure of the threads on the amount of tension when interacting with guides and working bodies of weaving machines and knitting machines, which have a large curvature in the zone of contact with the thread, established a mechanism for the process of increasing the tension of the thread after the guide by changing the radius of curvature of the guide and friction forces in the zone contact. It is proved that the increase in tension is explained by a change in the angle of coverage of the thread of a guide of large curvature, and for complex threads and yarns, the real angle of coverage will be greater than the calculated one, due to deformation of the thread diameter in the contact zone, and for monofilaments it is less than the calculated one due to bending stiffness. The sequential passage of the thread along the guides, from the entry zone to the formation zone of fabric and knitwear, leads to a stepwise increase in tension. In this case, the output parameter of the tension after the previous guide will be the input parameter for the subsequent guide, which makes it possible to use recursion when determining the tension in front of the formation zone. In this regard, research on the computer implementation of the algorithm for determining the thread tension on technological equipment using recursion should be considered relevant.
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
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