Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Multiobjective Optimization of Weight Reduction Process Parameters of Micropolyester Woven Fabrics Using Taguchi-Grey Relational Analysis

Version 1 : Received: 29 August 2023 / Approved: 30 August 2023 / Online: 31 August 2023 (10:07:46 CEST)

How to cite: Ahmed Almetwally, A.; M. Elfowaty, H. Multiobjective Optimization of Weight Reduction Process Parameters of Micropolyester Woven Fabrics Using Taguchi-Grey Relational Analysis. Preprints 2023, 2023082104. https://doi.org/10.20944/preprints202308.2104.v1 Ahmed Almetwally, A.; M. Elfowaty, H. Multiobjective Optimization of Weight Reduction Process Parameters of Micropolyester Woven Fabrics Using Taguchi-Grey Relational Analysis. Preprints 2023, 2023082104. https://doi.org/10.20944/preprints202308.2104.v1

Abstract

The weight loss process variables of alkali-treated micropolyester woven fabric were optimized and reported in this study. The grey relational analysis (GRA) with the help of the Taguchi technique was efficiently used to optimize the key variables of this process. The caustic soda concentration, treatment temperature, and weight loss machine speed were considered the control or design parameters. The weight reduction percentage, air permeability, tensile strength, and thermal resistance of alkali-treated woven polyester fabrics were also considered as responses in this study. The experiments were implemented according to a 33 full factorial design. The levels of the control parameters which yield the maximum weight reduction, tensile strength, air permeability, and minimum thermal resistance of the treated polyester fabrics were found to be NaOH concentration and treatment temperature with the highest levels, and machine speed with the lowest level. This means that a 27% caustic soda concentration, treatment temperature of 125 OC, and machine speed of 40 m/min exhibited the optimum properties of the treated micropolytester fabrics. It is also proved that the treatment temperature is the most influential factor affecting the micropolyester fabric’s properties. The confirmation test which was carried out in this study confirmed that the GRA improved the alkali-treated polyester fabric properties.

Keywords

Multiobjective optimization; Grey relational analysis; Taguchi Technique; Weight reduction process; Polyethylene Terephthalate; NaOH

Subject

Engineering, Other

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