Abstract:This paper reports a novel method to fabricate auxetic warp knitted fabrics on a tricot warp knitting machine based on a special structure design and knitting process. Three auxetic warp knitted structures were successfully developed and all of them were designed to form a reentrant hexagonal geometry to acquire an auxetic effect. To provide the fabrics with reentrant frames, elastomeric yarns and stiff yarns were used to form the elastic underlaps and stiff underlaps, respectively. While the elastic underlaps… Show more
“…Deriving v p (t), the acceleration curve formula a p (t) is shown in equation (20): According to the movement characteristics of guide bar lapping, h p ð0Þ ¼ 0, h p ðt f Þ ¼ h, v p ð0Þ ¼ 0, v p ðt f Þ ¼ 0, a p ð0Þ ¼ 0, a p ðt f Þ ¼ 0, these parameters are substituted to equation (16), equation (18), and equation ( 20) respectively. The constants…”
Section: Design Of the Shogging Velocity Curvementioning
confidence: 99%
“…f can be obtained. 16) and equation (18), the formulas of position trajectory h p (t) and velocity curve v p (t) for quintic polynomial can be calculated as follows:…”
Section: Design Of the Shogging Velocity Curvementioning
confidence: 99%
“…The fabric structure or the pattern effect are decided by the law of guide-bar shogging motion, 18 and the knitting speed is decided by dynamic response performance and the positioning accuracy of the guide-bar transverse motion. To improve the dynamic response performance and the positioning accuracy as well as achieving a better knitted effect, in the present study an electronic shogging system for the warp knitting machine via the mixed-velocity planning curve is designed.…”
To realize high-speed running of a warp knitting machine, the shogging motion should not only meet the requirement of high dynamic response but should also satisfy high positioning accuracy. Due to the large location disturbance and the dynamic response delay in the interpolation method or the single velocity planning curve method, an electronic shogging system for a warp knitting machine based on the mixed-velocity planning curve is proposed in the present study. Through the analysis of the shogging motion combined with the knitted structure, the optimal resolution of the instruction signal is calculated, which is 725 pulses for one needle step, and the velocity loop bandwidth of the servo driver is optimized. In addition, the motor with a load inertia ratio close to 1 is also selected. Analysis of the shogging motion vibration curve confirms that the shogging motion has advantages of high positioning accuracy and high dynamic response under the mixed-velocity planning curve. The response performance with the mixed curve is 12.5% higher than that with the quintic polynomial, and the positioning accuracy of the mixed curve is 26% higher than that with uniform acceleration–deceleration curve.
“…Deriving v p (t), the acceleration curve formula a p (t) is shown in equation (20): According to the movement characteristics of guide bar lapping, h p ð0Þ ¼ 0, h p ðt f Þ ¼ h, v p ð0Þ ¼ 0, v p ðt f Þ ¼ 0, a p ð0Þ ¼ 0, a p ðt f Þ ¼ 0, these parameters are substituted to equation (16), equation (18), and equation ( 20) respectively. The constants…”
Section: Design Of the Shogging Velocity Curvementioning
confidence: 99%
“…f can be obtained. 16) and equation (18), the formulas of position trajectory h p (t) and velocity curve v p (t) for quintic polynomial can be calculated as follows:…”
Section: Design Of the Shogging Velocity Curvementioning
confidence: 99%
“…The fabric structure or the pattern effect are decided by the law of guide-bar shogging motion, 18 and the knitting speed is decided by dynamic response performance and the positioning accuracy of the guide-bar transverse motion. To improve the dynamic response performance and the positioning accuracy as well as achieving a better knitted effect, in the present study an electronic shogging system for the warp knitting machine via the mixed-velocity planning curve is designed.…”
To realize high-speed running of a warp knitting machine, the shogging motion should not only meet the requirement of high dynamic response but should also satisfy high positioning accuracy. Due to the large location disturbance and the dynamic response delay in the interpolation method or the single velocity planning curve method, an electronic shogging system for a warp knitting machine based on the mixed-velocity planning curve is proposed in the present study. Through the analysis of the shogging motion combined with the knitted structure, the optimal resolution of the instruction signal is calculated, which is 725 pulses for one needle step, and the velocity loop bandwidth of the servo driver is optimized. In addition, the motor with a load inertia ratio close to 1 is also selected. Analysis of the shogging motion vibration curve confirms that the shogging motion has advantages of high positioning accuracy and high dynamic response under the mixed-velocity planning curve. The response performance with the mixed curve is 12.5% higher than that with the quintic polynomial, and the positioning accuracy of the mixed curve is 26% higher than that with uniform acceleration–deceleration curve.
“…[ 4 ] This unusual behavior has also motivated various researchers to develop different types of auxetic fabrics. [ 2,5 ] To date, auxetic fabrics which have been developed can be roughly divided into auxetic woven fabrics, [ 6–12 ] auxetic‐knitted fabrics, [ 1,13–18 ] auxetic nonwoven fabrics, [ 19–21 ] and special auxetic fabric structures. [ 22 ]…”
Auxetic fabrics are those with a negative Poisson's ratio and have received increasing attention in recent years. In our previous study, a series of auxetic warp‐knitted fabrics were developed based on re‐entrant geometry and their auxetic effects were experimentally investigated. Unlike weft‐knitted fabrics, the preparation and production process of warp‐knitted fabrics are very complicated and time consuming. However, finite element (FE) method offers an efficient way to simulate and predict their auxetic behavior without conducting the manufacturing process and experimental tests. Herein, an FE study of auxetic warp‐knitted fabric structures is conducted. The FE models are established from the geometry of a real fabric and compared with the experimental results. It is shown that the variation trends of Poisson's ratio agree well between the simulation and experiment. Although simulation results are slightly different from the experimental ones, it still proves feasible for predicting auxetic effects of auxetic fabrics using the FE models. It is expected that this research can offer a useful method to model and simulate the deformation behavior of auxetic warp‐knitted fabrics, providing a guide for the design and development of more novel auxetic fabric structures.
“…Tensile tests were conducted after heat setting and it was concluded that the fabrics show auxetic behavior in a wide strain range. [ 16 ] Hu et al developed three types of knitted auxetic structures, i.e., foldable, rotating rectangle, and re‐entrant hexagon using computerized flat knitting technology. The results showed that Poisson's ratio effect varies with strain rate.…”
Recently, the auxetic fabrics have gained much importance in the scientific and industrial community due to their excellent impact-resistance property. Due to this property, they have several applications, including automotive, aerospace, and ballistic areas. The auxetic three-dimensional (3D) woven fabrics are a less explored domain in the auxetic community. Herein, special attention is given to the numerical analysis of the 3D auxetic structure. The negative Poisson's ratio of 3D auxetic structures is studied using ANSYS workbench structural analysis module. The effect of binding yarn float length on negative Poisson's ratio is tested on ten different 3D orthogonal through the thickness structures with binding yarn float length of 1:1, 2:1, and 3:1. Furthermore, the effect of the number of binding yarns and the number of layers is also studied numerically. The results show that the auxeticity of the woven structure increases with increasing the number of binding yarns and their float length. Moreover, decreasing the number of layers from 3 to 1 increases the auxeticity.
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