Analysis of Parameters in Drilling Process Aid of Mathematical Modeling with Inspired Optimization Techniques Kumar P. Saravana*, Hariharan P.**, Vijayaraghavan L.*** *Assistant Professor, Department of Mechanical Engineering, University College of Engineering, Thatchur, Arni, India. saravanakumarp1182@gmail.com **Professor, Department of Mechanical Engineering, Anna University, Chennai, India ***Professor, Department of Mechanical Engineering, Indian Institute of Technology, Madras, India Online published on 23 March, 2017. Abstract Drilling, an imperative machining practice in the mechanical field is used for fitting or cutting the materials devoid of any disruption. The drilling of the FRP composites can be taken as the discriminating phenomena due to their inclination to delaminate when exposed to automated hassles. Delamination, which is a degree of the nature of a drilled hole, is essentially subject to the thrust energy. The main objective of this paper is develop the mathematical modeling which minimize the thrust force and delaminating factor of drilling process. From the mathematical modeling the cutting rate, feed rate, vibrating frequency and vibrating amplitude is optimized in drilling process with help of different inspired optimization techniques. It shows that the ideal cutting speed and feed rate are determined by utilizing the particle swarm optimization (PSO) algorithm for deciding the ideal thrust force and delaminating factor component of the drilling methodology. From the results, we gather that the optimal results with maximum accuracy 97.23% is attained in the PSO algorithm compared to other optimization techniques. Top Keywords Drilling, Glass fibre reinforced thrust force, delamination factor, cutting speed, feed rate, and particle swarm optimization. Top |