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Impact of the splicer parameters on the spliced open-end Denim spun-yarns physico-mechanical performances

Jaouachi B, Sahnoun M.

Autex Research Journal

2009

Vol. 9, no. 3

66--69

In this work, the open end splicer parameters as the compressed air (pressure, P and durations of tearing, Dt), the fibres feeding during splicing operation (1S10 and EII), and the recalling yarn codes (RI, RII and RIII) were investigated. In order to evaluate the contribution of the splicing conditions on the open end splice physico-mechanical behavior, we used the experimental Tagauchi design method. This kind of experimental design allows us, using simplification method, to reduce the amount of the experiments. To evaluate the splice appearance, the subjective (the experts notes) method and the objective (referring to a developed Thickness index value) one are compared. In our experimental field of interest, the results show that the feeding fibres parameter level increase gives the lowest Thickness index value which means good splice appearance. However, the compressed air remains the most important parameter because it represents the influential one on both the strength and the longitudinal characteristics of the spliced open-end spun-yarns (length of splice and the expert judgments).

A comparative quality optimisation between ring spun and slub yarns by using desirability function

Souid H., Babay A., Sahnoun M., Cheikrouhou M.

Autex Research Journal

2008

Vol. 8, no. 3

72--76

The present study was conducted to develop a credible approach to determine the quality of ring spun and slub yarns by virtue of criteria incorporating combinations of the fundamental fiber characteristics. Critical yarn parameters are to be investigated. The values of these tested properties were introduced into a database that ranked the quality of the yarn against industry standards. The paper investigates the possibilities of using the global optimization superimposed diagram response surface methodology in order to identify the spinner feasibility conditions across the customer yarn quality requirements. The spinner approach consists of optimizing the yarn count and twist. We have also studied the customer approach to optimize the yarn responses simultaneously by the use of the desirability functions. The response optimizer searches for a combination of input variables that jointly optimize the set of the responses by satisfying the customer requirements for each response in the set.