Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1510
Title: Development Of mathematical model to select best technological parameters In sizing
Authors: Fernando, E. A. S. K
Jayawardena, T. S. S
Keywords: Mathematical model
material waste
size box
Technological parameters of sizing
Issue Date: Jun-2015
Series/Report no.: Journal of Multidisciplinary Engineering Science and Technology (JMEST);Vol 2 Issue 6
Abstract: The sizing process does not add value to the grey fabric, but it is critical to the improvement of weaving efficiency especially for cotton and cotton blend fabrics. With the advent of technology, weaving speeds have been greatly ameliorated and the significance of correct size applications has been thoroughly explored. Since the correct size application is primarily characterized by the size percentage, the technological parameters for proper sizing were chosen through experimental trials and acquired prior knowledge. Thus, a scientific approach to determining the technological parameters is essential to the textile industry. To fulfill the aforementioned need, the authors have developed a mathematical relationship that relates technological parameters involved in size applications. The practical utility of the derived equations were also highlighted. Experimental trials, carried out with poly/cotton yarn on a single yarn sizing machine, confirm the validity of the model developed. Furthermore, empirical findings published in internationally renowned reference books on sizing were also in accordance with the analytical results established. The mathematical relationships developed can be exploited to calculate the optimum parameters of the sizing machine and to obtain the required quality of sized yarn.This approach does not require carrying out costly trials and therefore has positive industrial impacts.
URI: http://rda.sliit.lk/handle/123456789/1510
ISSN: 3159-0040
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications

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