ABSTRACT
The chapter presents the critical review on the machining parameters of fibre-reinforced polymer (FRP) composites, such as glass fibre composites, carbon fibre composites and jute/epoxy composites etc. Over the past few years, the use of FRPs has increased because of its good strength-to-weight ratio; however, it requires further machining during the joining of two components with the help of fasteners. To date, conventional drilling is used to drill the holes. Drilling of holes may induce damage to the part. Operating parameters, such as thrust force and torque induced during the drilling operation need to be studied and knowledge database needs to be developed. This chapter deals with the drilling aspects of polymer composites in detail. A comparative study has been made for three different drill point geometries with different spindle speeds and feed rates. Different predictive models, such as artificial neural network (ANN), fuzzy logic and adaptive neuro fuzzy inference system (ANFIS) are used to predict drilling induced damage, thrust force and torque induced while drilling of the fibre-reinforced polymer composites.
