Open AccessMulti-response optimization of the Thermal properties of Bio fluids using Taguchi-Grey Analysis
Author(s) -
Selvalakshmi,
I Karthikeyan,
R. Immanual,
A. Paul Vinofer,
E. Varadha,
B. Chokkalingam
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1059/1/012051
Subject(s) - taguchi methods , orthogonal array , sunflower oil , grey relational analysis , design of experiments , thermal conductivity , materials science , castor oil , mathematics , chemistry , composite material , statistics , food science , biochemistry
In order to study and investigate the overall performance of bio fluids for solar thermal applications, this work consists of integration of Taguchi method with Taguchi Grey Relational Analysis. The preparation of bio fluids has three levels of input control parameters such as Type of oil, Percentage of concentration and Stirrer speed. Output optimization indicators for the experiment were chosen as Thermal conductivity, Density and Viscosity. The comparative study made consists of coconut oil, sunflower oil and castor oil in the bio fluids preparation. These oils are available readily in the market and are quite inexpensive. The bio fluids are prepared by mixing the above oil with water in appropriate concentration. The experiment is run for the optimal solution using Taguchi analysis using L9 orthogonal array. The influential parameters which are significant in contributing the performance of bio fluids were studied using ANOVA table. After multi objective parametric optimization, the control parameters optimization level shows the use of Sunflower oil with 15% concentration at 15000 RPM stirrer speed produces the optimal performance. Based on the Ranking and Sum of squares from ANOVA table, it is evident that the most influential parameter is the type of oil followed by Percentage of concentration and Stirrer speed respectively.