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An Analysis of Implementation of Taguchi Method to Improve Pro-duction of Pulp on Hydrapulper Milling

Hernadewita, Hernadewita and Rochmad, I and Hendra, Hendra and Hermiyetti, Hermiyetti and E.N.S, Yuliani (2019) An Analysis of Implementation of Taguchi Method to Improve Pro-duction of Pulp on Hydrapulper Milling. International Journal of Production Management and Engineering, 7 (2). pp. 125-131. ISSN 2340-4876

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Abstract

Taguchi method is one of a design of experimental (DOE), by using statistical approach to optimize the process parameters and maintaining the minimum variability and also improve the quality of product. Based on data characterisation, Nominal is Best in Taguchi methods is suitable application in this study. Its describe the procedures and steps that occur in DOE to find an optimum quality parameter corresponding quality characterisation. Nominal is the best applied in milling process of pulp on the hydrapulper with pulp freeness 650 Canadian Standard Freeness (CSF). The result is shown by orthogonal array, Signal-to-Noise (S/N) Ratio and analysis of variances (ANOVA). Three factors cosidered in this study and namely the composition of pulp (waste paper), pulp consistency and milling time. The experiment will conducted after determination of each level and the appropriate orthogonal array was selected. After measuring of pulp freeness produced by the pulp milling on the hydrapulper, then Signal-to-Noise (S/N) Ratio is calculated. As the conclussion, the factors and levels of optimum freeness obtained, pulp composition in level 1 (100%), pulp consistency at level 2 (8%) and milling time factor in level 2 (45 minutes). The result of experimental verification was interpreted in the conclusion.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: 03-Fakultas Teknik > 21201-Jurusan Teknik Mesin
03-Fakultas Teknik
Depositing User: Dr. Eng. Hendra =
Date Deposited: 25 May 2023 15:50
Last Modified: 25 May 2023 15:50
URI: http://eprints.untirta.ac.id/id/eprint/24553

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