Mathematical model and optimisation for tensile strength of human hair reinforced polyester composites Online publication date: Tue, 20-Aug-2019
by P. Divakara Rao; C. Udaya Kiran; K. Eshwara Prasad
International Journal of Computational Materials Science and Surface Engineering (IJCMSSE), Vol. 8, No. 1, 2019
Abstract: Polymeric-based composites were prepared using chopped fibres of human hair in different volume fractions varying from 5% to 25% by weight and in different fibre lengths ranging from 10 mm to 50 mm. Experiments are conducted to know the tensile strength of the composites. Two-factor - five-level historical data model (DOE) is chosen. In the present study, a mathematical model was developed from the experimental results using response surface methodology (RSM) so as to obtain the optimum tensile strength condition for the composite. The correlation coefficient of the regression model was tested by analysis of variance (ANOVA) to check the adequacy of the mathematical model.
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