Red mud is an industrial waste generated during the production of alumina by
Bayer's process. General purpose polyester resin is used as a matrix and banana fiber as
reinforcement. This paper presents a new approach for the optimization of fabrication
parameters on red mud filled banana fiber treated and untreated polyester composite with
multiple response based on orthogonal array with grey relational analysis in order to save the
initial experimental cost on number of specimen and experimental duration. In this study,
fabrication parameters namely red mud percentage, fiber treatment, length of fiber, weight
fraction of fiber are optimized with consideration of multi response such as impact strength,
flexural strength, and tensile strength. A grey relational grade is obtained from the grey
analysis. Based on the grey relational grade, optimum level of parameters has been identified
and significant parameters are determined by analysis of variance (ANOVA). Experimental
result has shown that the responses in the fabrication process can be improved effectively
through the new approach.
Keywords: banana polymer composite; redmud; grey relational analysis; ANOVA |
full paper (pdf, 1040 Kb)