Use of the taguchi method for analysis of temperature reduction in the refrigeration Laboratory - Nutenge – Uema
International Journal of Development Research
Use of the taguchi method for analysis of temperature reduction in the refrigeration Laboratory - Nutenge – Uema
Received 11th August, 2020; Received in revised form 28th September, 2020; Accepted 16th October, 2020; Published online 24th November, 2020
Copyright © 2020, Oliveira, L. S et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The Robust Design method, also called the Taguchi Method, was developed by the engineer and statistician Genichi Taguchi to improve productivity and optimize engineering projects and products. Robust Design focuses on improving the fundamental function of the product or process, making projects more moldable and perfecting the engineering applied to it. It is a most effective method available to improve quality and simultaneously reduce the development interval for projects or products. The main objective of Taguchi's methodologies is to design and manufacture high quality products in a short time, avoiding more expensive and slower trial-error methods. The applications of Taguchi's methods can be seen beyond the academic environment, as well as in everyday life. To verify the effectiveness of this method, the concepts of Orthogonal Matrices, Signal / Noise calculations and effects of noise factors and interactions between them will be applied in a case where there is a room (Refrigeration Laboratory) to be cooled by air conditioning machines according to pre-selected noise parameters. Cases like this, commonly seen in a virtual environment, are analyzed for verification of the effectiveness in reducing the temperature of the fluid contained inside the room.