Determining a Satisfying Process Configuration of Yarn Dying Process Using Response Surface Methodology
Hari Adianto (National Institute of Technology, Bandung, Indonesia); Darwin Darwin (Parahyangan Catholic University, Bandung, Indonesia); Alfian Tan (Universitas Katolik Parahyangan, Bandung, Indonesia); Sani Susanto (Parahyangan Catholic University, Indonesia)
This research is conducted to develop a satisfying process configuration of a yarn dyeing process. The dyeing process consists of mixing the material with additive chemical substances and applying a heating treatment. There will be three factors considered in this experiment, which are the heating temperature and the amount of salt and soda. There are three quality characteristics observed from a dyed yarn, which are the color level of yarn (L*), the reduction of yarn tensile strength (Δg), and the elongation reduction of yarn (Δ%). Ideally, all these three characteristics should be minimized, with the target value of zero. Response surface methodology will be applied in this research. In the initial step, we conduct a 23 factorial experiment in order to look for the factors that significantly influence the quality characteristics. Based on this result and some additional experiments, we establish a regression model for each yarn quality characteristic. Analyzing the responses on their factors level area and also by considering dyeing cost into account, a configuration is developed that satisfies the company in terms of quality characteristics and the dyeing process cost. The configuration is a temperature of 73.63oC, and soda and salt quantities, respectively, of 0.38 grams and 1.2 grams. The impact on color level, tensile strength, and elongation resulted is superior to the previous composition used by the company, and this configuration can also reduce the dyeing cost by as much as IDR 222 / 240 grams of yarn.
Journal: International Journal of Simulation- Systems, Science and Technology- IJSSST V21
Published: Apr 28, 2021