Manuscript Title:

APPLICATION OF TAGUCHI METHOD IN OPTIMIZATION OF PROCESS PARAMETERS FOR PADDY HUSKER IN PEELING MACHINE PRODUCTION PROCESS

Author:

SUWATTANARWONG PHANPHET, SURAPONG BANGPHAN​

DOI Number:

DOI:10.17605/OSF.IO/RZ7K9

Published : 2021-08-10

About the author(s)

1. SUWATTANARWONG PHANPHET - Department of Industrial Technology , Faculty of Science and Technology Chiang Mai Rajabhat University 202 Chang phuak Road, T.Chang phuak, A.Muang Chiang Mai, THAILAND 50300.< br> 2. SURAPONG BANGPHAN​ - Department of Industrial Technology Education, Faculty of Engineering, Rajamangala University of Technology Lanna, Chiang Mai, THAILAND, 50300.

Full Text : PDF

Abstract

This paper reports on an optimization of peeling machine production Process by the effects of process parameters for paddy husker applying Taguchi method to improve the quality of manufactured goods, and engineering development of designs for studying variation. Thai jasmine rice (Khao Dok Mali Rice 105) is used as the selection for carrying out the experimentation to optimize the Paddy Husker. There are three process parameters i.e. Round per minute, Rubber of clearance, and Paddy of moisture respectively. Operating range is found by experimenting with round per minute and taking the lower levels of other parameters. Taguchi orthogonal array is designed with three levels of peeling machine production parameters with the help of software Minitab release19.00 In the first run twenty seven experiments are performed and paddy husker is calculated. When experiments are repeated in second run paddy husker is calculated. Taguchi method stresses the importance of studying there sponse variation using the signal–to–noise(S/N)ratio, resulting in minimization of quality characteristic variation due to controllable parameter. The paddy husker was considered as the quality characteristic with the concept of the larger -the-better. The S/N ratio for the larger-the-better. Where n is the number of measurements in this case, n=27 and y (response = broken of percentage) is the measured value.


Keywords

Application, full factorial design, optimization, analysis of variance, turning machine.