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India offered a biggest source of natural fiber like banana, rice husk, coconut and jute fiber etc. All the natural fiber has its unique advantages as well as mechanical properties which are very useful in the development of potential composites for various applications like transportation, automotive etc. There are various machining process in which drilling is most useful process for the assembly of different work pieces. During the drilling of composites it will undergo in the delamination process, which in turn reduces the strength as well as the efficiency of composites materials. In the present work drilling was carried out by using the various feeds (0.1, 0.2, 0.3 mm/rev), speeds (1000, 2000, 3000 rpm) and drill point angles (90 0 , 104 0 , 118 0) on the banana polyester reinforced composites. The delamination factor was measured by using machine vision system and digital image analysis. The mathematical model were developed using regression analysis to correlate the various machining parameters with the delamination factor and thrust force. Also the ANOVA has been used to found the effectiveness of the factors as well as their combinations. Optimization has been performed using the desirability function to find out the optimum machining condition for drilling of banana fibre reinforced composites.

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Cotton fiber composites are currently used in the interior parts of automobiles, insulation boards, fiber boards and various parts of high-friction mechanical assemblies. These composites are subjected to machining operations. Drilling is an indispensable machining operation for assembly of different parts. The present work aimed to experimental and analytical investigations on drilling of bi-directional cotton polyester composite.Influence of feed, spindle speed and drill point angle on machining characteristics like thrust force, torque and delamination factor was studied by conducting experiments derived from Taguchi's L27 orthogonal array. To determine the significance of each drilling process parameters and their interactions analysis of variance (ANOVA) test was conducted. Modeling of drilling parameters was carried out through multiple regression analysis and their optimization for minimizing cutting forces and machining induced damage was carried out using S/N ratio analysis.

The machinability of fiber reinforced composites is emphatically affected not only by the kind of fiber used in the composite but also by its properties. Milling composite materials is a very usual and plays a vital role for the assembly of composite structures. However, milling of composites is a somewhat complicated errand inferable from the heterogeneity of the material and a plenty of different issues, for instance, delamination factor, which show up amid the machining process and are connected with the qualities of the material and the cutting parameters. Present study looks into the influence of spindle speed, feed rate and depth of cut on thrust force, torque and delamination factor in hemp fiber reinforced polyester composites. The composite specimens were formulated using hand lay-up method. The analysis for attaining the optimality condition is performed using ANOVA and regression model. It was observed that the grouping of the inferior value of feed (0.1 mm/rev), lower spindle speed (1500 rpm) as well as the lower depth of cut (1.5 mm) results in minimum delamination factor and torque. The feed was found to be more significant than the depth of cut for thrust force.

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