Predicting compact yarn’s IPI faults by using HVI fiber properties

Üzümcü, Memik Bünyamin; Kadoğlu, Hüseyin

doi:10.1088/1757-899x/254/16/162011

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“…Bedez Üte and Kadoglu used regression analysis to estimate tensile strength and unevenness of siro-spun yarns by using HVI and AFIS properties of the fibers used in productions (18,19). Uzumcu and Kadoglu used HVI fiber values for predicting IPI fault values of compact-spun yarns (20). Gurkan Unal used artificial neural network and response surface methods for evaluating the effects fiber properties on spliced yarn characteristics (21,22).…”

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confidence: 99%

Estimation of Tensile Strength and Unevenness of Compact-Spun Yarns by Using Hvi Fiber Properties

Üzümcü¹,

Kadoğlu²

2018

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Compact spinning system, which has begun to gain an important place in textile industry, thanks to its desired yarn characteristics, was developed in the early 2000s. Less hairy yarns can especially be produced with this system, as stated in the literature. Moreover, the system has significant advantages in terms of tensile strength. In this study, yarns were produced with different yarn counts (Ne 40 -Ne 90) and different twist coefficients (αe 3.8, αe 4.2 and αe 4.6) using the compact spinning system. Regression analysis was carried out using the test results of the yarns produced and HVI fiber properties which were measured before the production. It was investigated whether the properties of the yarns can be estimated before production by using specified fiber properties. As a result of the analysis, the derived equations were used to estimate tensile strength and unevenness values of the yarns.

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