A Statistical Model for Predicting Yarn Evenness of Cotton Sirospun Yarns

Year 2016, Volume: 1 Issue: 1, 57 - 63, 02.01.2016

Tuba Bedez Üte , Hüseyin Kadoğlu

Abstract

Raw material costs constitute the majority of the yarn production costs, therefore it is critically important to select the suitable cotton blend and to know required fibre characteristics for spinning. This article is a part of a comprehensive work including the experimental research and the modeling of the physical and mechanical properties of the cotton sirospun yarns. In this paper, a model for estimating sirospun yarn evenness from cotton fibre properties was investigated. For this purpose, different cotton blends were selected from different spinning mills in Turkey and their properties were measured with AFIS (Advanced Fibre Information System). Besides some yarn production parameters were also selected as independent variable (predictor) due to their significant effect. Sirospun yarns were produced at Ege University Textile Engineering Department’s spinning mill under the same conditions. Linear multiple regression method were performed and statistical evaluation showed that generated equations for predicting yarn evenness had a large R2 and adjusted R2 values. 

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