There are many applications in world today that require materials withdifferent combination of properties that cannot be met by theconventional metal alloys. It is important to study the effect of thecutting parameters and insert radius on the cutting force and surfaceroughness to improve machinability of polymer matrix composites.Taguchi is used for design of experiments. The material used for studyis bronze plus MoS2 filled polytetrafluoroethylene (PTFE). PTFEcomposites are used in many industrial applications, especially, PistonSeals, andfor Hydraulic Piston Rings industries. Two performancescharacteristic are considered cutting force and surface roughness, thevarious process parameters are selected and varied in three differentlevels. Cutting tool used for turning operation is cemented carbide tips.Analysis of variance (ANOVA) technique is used to find out thesignificant parameters influencing the performance measure. ANOVAresult shows that feed (f), nose radius(r), and depth of cut are mostsignificant process parameters to influence surface roughness; changein these parameters can increase surface roughness. A new class ofmaterial called polymer matrix composites has answered to thisquestion in great extent. Also metal alloy reinforcements in polymerbased composites leads to increase in cutting force, when cutting forceis increased machining temperature is increased and it leads to softenbase polymer material, hence the behavior machined polymer basedmatrix differ from metal alloys due to temperature dependencepolymer. Cutting forces and surface roughness are two importantdifferent problems in the machining of polymer-based composites. Cutting forces has a direct influence on specific cutting pressure andspecific power consumption, tool wear and internal heat generation.On the other hand, surface roughness is an important outputcharacteristic that describes the quality of the machined surface. Inorder to obtain good machinability and to improve the product quality,it is necessary to obtain minimum values of cutting force and surfaceroughness(primary and waviness). The optimization of cutting forceand surface roughness consumes lot of time and is expensive, if it is tobe done for all the possible experimental combinations. Hence the dataduring machining are analyzed using different statistical methods suchas Taguchi’s design of experiments, analysis of variance (ANOVA),Taguchi methods and grey relational analysis.. However machiningconsists of more number of process parameters hence the requirementof optimum combination of cutting parameters is different for each ofthese characteristics and depends on the type of material beingmachine.