Title: Prediction of residual tensile strength model after drilling on coconut-husk fibre reinforced plastic by response surface and genetic algorithm
Authors: Neeraj Sharma; Ajit Singh; Pardeep Sharma; Bijender Yadav
Addresses: Department of Mechanical Engineering, D.A.V. University, Jalandhar-144012, Punjab, India ' Dayal Electro-Mechanical Research Centre, Esshaan Constructions, Karnal-132001, India ' Department of Mechanical Engineering, Panipat Institute of Engineering and Technology, Panipat-132101, India ' Department of Mechanical Engineering, Maharishi Markandeshwar Group of Institution, Karnal-132001, India
Abstract: The present research work concentrates on the development of partially bio-degradable coconut-husk fibre reinforced plastic (CFRP). Drilling was performed on the developed CFRP with different kinds of drill geometries. Residual tensile strength was then determined on the drilled specimens. The input parameters while drilling were drill tip geometry, spindle speed and feed rate. Box-Behnken Design (BBD) has been used for the planning of experiments. Mathematical modelling for the residual tensile strength takes place through response surface methodology and for the best individual process parameters genetic algorithm approach has been adopted. The maximum value of residual tensile strength was observed at jodrill type of drill tip geometry. Confirmation experiments indicate that predicted and actual value of residual tensile strength are at close agreement.
Keywords: Box-Behnken design; BBD; coconut husk FRP; fibre reinforced plastics; CFRP; genetic algorithms; residual tensile strength; RTS; response surface methodology; RSM; drill geometries; drilling; drill tip geometry; spindle speed; feed rate; mathematical modelling.
International Journal of Automotive Composites, 2015 Vol.1 No.2/3, pp.170 - 183
Received: 23 Aug 2014
Accepted: 02 Dec 2014
Published online: 10 Jul 2015 *