Title: Mathematical model and optimisation for tensile strength of human hair reinforced polyester composites
Authors: P. Divakara Rao; C. Udaya Kiran; K. Eshwara Prasad
Addresses: Department of Mechanical Engineering, J.B. Institute of Engineering and Technology, Hyderabad, Telangana, India ' Department of Mechanical Engineering, J.B. Institute of Engineering and Technology, Hyderabad, Telangana, India ' Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India
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.
Keywords: composite; human hair fibre; fibre weight ratio; human hair reinforced composite; HHRC; response surface methodology; RSM; analysis of variance; ANOVA; historical data; optimisation; mathematical model; tensile strength.
International Journal of Computational Materials Science and Surface Engineering, 2019 Vol.8 No.1, pp.76 - 88
Available online: 14 Aug 2019 *Full-text access for editors Access for subscribers Purchase this article Comment on this article