Effect of flat heel-toe difference of a card on nep removal

Cao, Ji Peng; Ju, Yang; Sun, Peng

doi:10.1080/00405000.2013.765089

Cited by 3 publications

(1 citation statement)

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“…The reduction can represent the nep removal efficiency of the carding machine. 11 The average number of neps for A is 21.1, which is 24.41% less than B. So, there are fewer neps in slivers of Test A than that of Test B.…”

Section: Results and Analysismentioning

confidence: 94%

An improvement design of groove-wound clothing on the licker-in—Part II. Application on the card machine

Cheng

Xue

et al. 2018

Textile Research Journal

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Due to spiral winding, there is an inclination angle between the teeth and the direction of the tangential velocity of the licker-in, which makes the teeth obliquely work with the fibers instead of vertically. In the previous work in Part I, we discussed the impacts of this using theoretical mechanical analysis and a digital model in ANSYS Explicit Dynamics. Based on the analysis, this paper makes a new type of card clothing for the licker-in and manufactures the rack by adding a process in the processing for traditional AT5610 × 05611 racks. The comparison of the two slivers worked by the traditional and new design licker-in card clothing show that the new design clothing has an increase of 24.41% on nep removal, which is consistent with the theoretical analysis. According to the paired samples test, the trash removal ratio and the short fiber content in the sliver, this new design shows no deterioration. For further discussion, we collect the noils and calculate the producing rate of the sliver, licker-in droppings and card strips with special collecting equipment. This new design shows a significant increase in the fiber yield percentage (8.45%) and a dramatic decrease for licker-in droppings (33.6%). Yarns from the new rack have better performance on breaking elongation (a decrease of 5.6%) and evenness. Therefore, this design has higher utilization for fibers and good commercial benefit.

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Section: Results and Analysismentioning

confidence: 94%