نتایج جستجو برای: end spinning process
تعداد نتایج: 1661541 فیلتر نتایج به سال:
This article aims to have a glimpse into the effect of spinning tool parameters (focusing on its diameter, attack angle, nose radius, and feed) by applying explicit code commercial finite element analysis software LS-DYNA. The preliminary results show that greater axial feed, loads generated in axial, tangential, radial directions. At same time, larger more elements are parallel direction from ...
The manufacturing of costly hand woven rugs and floor coverings during the 15th to 17th centuries represented a splendid golden age for the Iranian textile industry. Without using high-quality yarns, the productions of such woven materials were surely impossible. To analyze and identify the technical specifications of the required yarns in this industry during the aforementioned centuries, the ...
The application of melt spinning processes for the production of cellulosic fibres would be a significant sign of progress for economic and environmental reasons. A process for melt spinning of trimethyl-silycellulose (TMSC) was developed. Bis(trimethyl-)silylcarbamate (BSC) was found to be excellent for the silylation of cellulose due to good swelling and penetration into cellulose. The synthe...
The Penrose process of an extremal braneworld black hole is studied. We analyze the by two massive spinning particles collide near horizon. By calculating maximum energy extraction efficiency this process, it turns out that maximal increases as tilde charge parameter $d$ blackhole decreases. Interestingly, for negative value $d$, can be even larger than Kerr case.
Abstract Electronic fibers/textiles have great potential for applications in smart wearables due to their excellent flexibility, air permeability, and wearing comfort. However, it is still challenging produce reliable electronic textiles at low cost a large scale. Herein, we report spraying‐spinning process fabricating yarns with stability durability. Cotton sliver, which the raw material spinn...
In the manufacture of yarn, predicting the effect of changing production conditions is vital to reducing defects in the end product. This study compares, for the first time, non-linear regression and artificial neural network (ANN) models in predicting 10 yarn properties shaped by the influence of winding speed, quenching air temperature and/or quenching air speed during production. A multilaye...
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