International Journal of Mechanical Engineering and Technology (IJMET) Volume 10, Issue 01, January 2019, pp. 1033–1043, Article ID: IJMET_10_01_107 Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=10&IType=01 ISSN Print: 0976-6340 and ISSN Online: 0976-6359 © IAEME Publication Scopus Indexed AN INVESTIGATIVE STUDY ON THE APPLICATION OF DIFFERENT STATISTICAL TOOLS AND METHODS FOR OPTIMIZING THE HOLE MACHINING ON POLYMER MATRIX COMPOSITES – A REVIEW Naveen Guruputranavar M.Tech. in Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal- 576104, India Dr. Sathish Rao U* Faculty, Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal - 576104, India. *corresponding author ABSTRACT Machining is one of the unavoidable operation after the processing of any type of material. Because of the advancement in the technology and innovation in the materials area, the composite materials are replacing and occupying the traditional materials market rapidly. Among these composite materials, the Fiber Reinforced Polymer (FRP) composite materials are found to be technically and structurally competitive and are widely used in a number of engineering industrial applications. The machining of these composites is found to be a complex phenomenon due to the influence of a number of machining and material parameters related to machining. Since drilling is the most frequently applied machining operation on composites, many research works were done on the drilling of composites, which resulted in numerous parameters that have influence on the drilling operation, impact on work material and cutting tool damage, cost of machining, material removal rate etc. So, at the background, it was thought to have a review on the issues related to drilling on the composite materials, which could help the manufacturing sectors and researchers in order to enhance the productivity. Thus the aim of this technical paper is to provide a detailed study of various issues related to drilling of FRP composite materials. This paper also comprehensively addresses the success and the failures of drilling operations, the factors associated with the drilling operation, their impact on the various output parameters. In addition, this review paper also discusses about the influences of a number of machining parameters and their influence on machining. Key Words: Fiber Reinforced Polymer, delamination, ANOVA, GFRP, CFRP, DoE. http://www.iaeme.com/IJMET/index.asp 1033 editor@iaeme.com An Investigative Study on the Application of Different Statistical Tools and Methods for Optimizing the Hole Machining on Polymer Matrix Composites – A Review Cite this Article: Naveen Guruputranavar and Dr. Sathish Rao U, an Investigative Study on the Application of Different Statistical Tools and Methods for Optimizing the Hole Machining on Polymer Matrix Composites – A Review, International Journal of Mechanical Engineering and Technology, 10(01), 2019, pp.1033–1043 http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=10&Type=01 1. INTRODUCTION The use of composite material has increased in the recent years and will increase in the future in various areas of science and technology. The fabricated composite material can be converted into a real time application only after making it to pass through secondary machining processes such as drilling, grinding, edge shaping, facing are used. Out of all these machining process, drilling is one of the most frequently used and secondary operation for near net shaped components and assembly section in many industries. Bahr and Sudhakaran, (1998) in their research paper stated that, in the aircraft final assembly section 60 % of components are to be rejected due to the delamination effect on drilled hole and a small aircraft engine has to be drilled with around 100,000 holes for its assembly. So, considering these research finding, nowadays most of the industrial applications using composites have Epoxy and E glass material as matrix and reinforcement materials respectively for fibrous polymer composites. This is due to their thermal and mechanical properties according to the research work carried out by Shanmugesh and Panneerselvam (2016). Composite materials are also used abundantly due to high damping, corrosion resistance, and thermal expansion carbon fiber reinforced plastic composites are used in functional and structural applications as per the study carried out by Krishnamurthy et al. (2009). The minimum damage is produced on Glass Fiber Reinforced Composite (GFRC), when they are drilled by high speed machining according to the research work of Rubio et al. (2009). Because of some of the discrete characteristics like heterogeneity, anisotropy and high abrasiveness of fibers, machining of composite materials became a very complex task as per the research work of Davin.J.P, Reis.P, Antonio.C.C, (2004). Delamination, fiber pull-out, hole shrinkage, spalling, fuzzing and thermal degradation are some the problems encountered during drilling of composite material. Delamination is usually the limiting factor during the drilling of composite material. Therefore, during machining of such materials study of its accuracy and efficiency has to be done in a most appropriate manner as per the research work of Khashaba et al. (2011). Applications of Glass Fiber Reinforced Plastic (GFRP) composite material are found in areas such as aerospace, aircraft, automobile and sport goods because of properties like high specific strength, high specific modulus of elasticity, light weight, corrosion resistance. In composites, two or more constituents are taken so that superior property of either of the materials is taken to its advantage according to the research work of Palanikumar (2011). During fastening for assembly of laminates, drilling is most commonly used machining operation. In such cases, the quality of the drilled hole is influenced by cutting condition, tool geometry, tool material, machining process, chip formation, work piece material, tool wear and vibration during cutting, etc. as per the research work of Mohan et al. (2005). 2. LITERATURE REVIEW Since drilling is a complex operation due to the simultaneous movement of the drill bit in the liner and rotational direction in to the work piece material, it was thought to have a detailed study of the drilling operation with reference to drill parameters, hole quality etc., which could lead to enhance the productivity of the manufacturing firms and to help the researchers through the application of different statistical tools. So, in the following section, a review study was made by discussing a number of literatures available in each of these areas. http://www.iaeme.com/IJMET/index.asp 1034 editor@iaeme.com Naveen Guruputranavar and Dr. Sathish Rao U 2.1. Influence of drill process parameters in composite machining Due to drilling-induced-delamination, it is a challenging task to carry-out drilling operation on GFRP. In order to increase the drilling efficiency, it is very important to understand the drilling parameter such as speed, feed and depth of cut. The improper selection of the drill process parameters produce many defective holes such as fiber pullout drilling operation, thermal gradient due to uneven bonding, stress concentration on drilled hole, fiber – matrix bonding, fiber cracking, pealing and delamination. S.Raghunath et al. (2017) studied drilling delamination factor on fiber reinforced polymer composites. The influence of process parameters, material parameters, types of fabrication and optimization techniques were discussed. From this study, the feed rate was considered to be one of the most influential controllable factors among all the process parameters such as applied load, sliding distance, drill bit diameter, point angle, and chisel edge. Ashish et al. (2016) carried out Full Factorial Design (FFD) experiments on chopped GFRP to evaluate Delamination Factor (DF) by studying process parameters. From the analysis it was observed that the Feed Rate and, the Point Angle (% contribution = 69.84%) have statistical and physical significance on the DF at entry and the Cutting Speed does not have statistical significance on DF at entry. From the DF analysis at the exit the same results were observed. Amuthakkannan et al. (2016) carried out experimental research on Basalt fiber reinforced polymer composites using Taguchi design of experiment to investigate the effects of drilling parameters such as spindle speed [2500, 2750, 3000 rpm], feed rate (0.2, 0.4, 0.6 mm/rev) and point angle (90°, 118°, 135°). A series of experiments based on L9 orthogonal arrays are conducted to determine the delamination factor. It was observed that speed and point angles are highly influencing parameters than feed rate for the delamination of the basalt fiber reinforced polymer composites. Babu.R.S et.al (2015) studies were based on the established Taguchi’s technique L9 orthogonal array. Drilling parameters were considered which will end up with machining time, surface finish and material removal rate. The results indicated that, cutting speed parameter had more influence of around 80% on surface roughness, feed parameter contributed a maximum of 66% on machining timing and feed parameter had the most contribution of 64% for Material Removal Rate. Murthy et al. (2015) in their research paper studied the influence of process parameters on the quality of hole in drilling of Glass Fiber Reinforced Polymer (GFRP) composites. The results have shown that the drill geometry has major influence on the quality of drilled hole in comparison to drill size, work-piece thickness, volume fraction, fiber orientation, speed and feed. Babu and Tom Sunny (2013) studied the delamination of composite material during drilling operation using Taguchi’s L25, 5-level orthogonal array and analysis of variance (ANOVA) to analyze the experimental data and concluded that at high spindle speeds (1000rpm2500rpm), the delamination increases and with high feed rate (100mm/min-400mm/min) the delamination decreases. The delamination at high speeds increases due to increase in thrust force which in turn generate severe heat and softens the fiber and matrix. The ANOVA results revealed that feed rate is the main parameter that influence the delamination. Ketan Jagtap et al. (2015) studied the effect of cutting parameters on the delamination during milling process. According to the results by Taguchi’s analysis, the drill material and spindle speed have predominant effect on delamination of drilled hole. They also found that good hole quality can be obtained during drilling of carbides. Kilickap (2010) studied the influence of cutting parameters and point angle on delamination produced during drilling of GFRP. According to ANOVA, feed rate is the main parameter influencing the delamination. Minimum damage can be achieved at lower speeds. The delamination factor is small at 1180 than at 1350 point angle. Khashab and El-Keranc (2017) investigated the influence of cutting speed and feed on cutting temperature, thrust force, torque, delamination factor, surface roughness and bearing strength in drilling thin woven glass-fiber reinforced epoxy (GFRE) composites. With the increase in feed, the thrust force, torque and delamination factors were increased. Sorrentino et al. (2018) studied the influence of the cutting parameters for drilling both GFRP and CFRP. The results highlighted that the thrust force http://www.iaeme.com/IJMET/index.asp 1035 editor@iaeme.com An Investigative Study on the Application of Different Statistical Tools and Methods for Optimizing the Hole Machining on Polymer Matrix Composites – A Review increases with the increase in the cutting speed and feed rate. Push-out delamination factor was always higher than the peel-up delamination factor. Khashaba et al. (2012) studied the effect of drilling parameters on the machinability parameters in drilling woven GFR. The outcomes of the process was that the drill point acted as the punch that pierced the laminate irrespective of the thrust force with approximately constant push-out delamination size even at high feed rates. The increase in pre-wear due to the generated heat, increased the surface roughness. High feed rate reduced the stiffness and also its ultimate bearing load. The bearing strength of drilled holes was predicted by the development of artificial neural network and multivariable regression models. Madhavan, and Prabu (2012) studied the effect of thrust force during drilling of Carbon Fiber Reinforced Polymer Composite laminates using HSS, Solid carbide and poly crystalline diamond insert drills using Taguchi design of experiments. ANOVA model was developed to reveal that the type of drill and feed rate are the major factors that influenced the thrust force. Irrespective of the drills used, medium cutting speed and feed rate provided optimum thrust force. El-Sonbaty et al. (2004) investigated the influence of thrust force, torque and surface roughness during the drilling of Fiber Reinforced Composite material. The thrust force raised quickly when the chisel edge came in contact with the work material and when the cutting lip engaged in the machining, the torque increased rapidly. The thrust force gradually decreased during the full engagement and then dropped to zero when the chisel edge and cutting lip exit the laminate. Vinod kumar and Venkateswarlu (2014) worked to optimize the process parameters in the drilling of GFRP. The result denoted that feed rate influenced the thrust force followed by speed, chisel edge width and point angle. Cutting speed affected the torque, speed and circularity of the hole followed by feed, chisel edge and point angle. Mohan et al. (2017) analyzed the surface roughness and machine time to investigate the machining characteristics of GFRP composite tube with various process parameters and fiber orientation. To determine the optimal levels of parameters, ANalysis Of Means (ANOM) was performed and to identify the influence of machining parameters on surface roughness, ANalysis Of Variance (ANOVA) was employed. Taguchi technique and ANOVA were employed to obtain the optimized turning parameter in GFRP machining. 2.2. Influence of Surface Roughness on Hole Quality Surface finish plays an important role in deciding the quality of the hole. Delamination is a major problem in obtaining an essential surface finish. In addition to this, features like fatigue load, precision fit, fastener hole, and aesthetic are also important in formulating the surface finish. Hamzeb Shahrajabian et al. (2012) studied the effect of machining parameter and tool geometry during drilling operation on carbon fiber reinforced polymer composite. ANalysis Of Variance (ANOVA) was performed to obtain surface roughness, delamination factor and thrust force values. According to the results, with higher cutting speed and lower feed, it is possible to get a better surface finish and lower thrust force. With the increase in spindle speed and tool angle, the delamination faction decreases. Biren Desai et al. (2013) reported an experimental investigation of solid carbide coated drill of point angle 60o and helix angle of 30o on CFRP laminate by varying the drilling parameter like spindle speed and feed rate to determine optimum cutting conditions. According to ANOVA which was carried out for hole quality parameter and their contribution rates, spindle speed and feed are the most effective parameters while measuring circularity and hole size respectively. Pradeep kumar and Packiaraj (2012) studied the effect of drilling parameters on Oil Hardened Non Shrinking (OHNS) steel for surface roughness. The researchers utilized Taguchi method for investigation. It was found that feed and speed were the important parameters to control surface roughness, tool wear, material removal rate and hole diameter. Kumar Abhishek et al. (2013) considered machining performance characteristics such as material removal rate, surface finish and tool-tip temperature for experimentation. A mathematical model was developed to predict the performance characteristics using the central composites design. It was found that 95% confidence intervals proved to be beneficiary in saving time and cost. http://www.iaeme.com/IJMET/index.asp 1036 editor@iaeme.com Naveen Guruputranavar and Dr. Sathish Rao U Mustafa et al. (2009) studied the optimum surface finish and hole diameter accuracy by Taguchi method. The parameters analyzed were cutting speed, feed rate, depth of drilling and different drilling tools. To analyze the effect of drilling parameters on surface finish and hole diameter accuracy, orthogonal array of Taguchi, the signal-to-noise ratio, ANOVA and regression analysis were employed. The respective results were obtained for different coated tools for dry drilling operation and coated tools observed to perform better. Fernandez-Perez et al. (2017) analyzed the influence of cutting parameters on the hole quality and tool wear while drilling CFRP material. The tool wear was found similar in all the four conditions followed by the progressive abrasive wear. The hole quality was found to be better with the higher cutting speed and feed which reduced the level of wear at the cutting geometry and also delayed the delamination appearance. Shunmugesh.K et al. (2014) carried out experiment cutting speed, feed rate and depth of cut to find the optimum cutting parameter that affected the surface finish using ANOVA tool. The results obtained indicated that depth of cut was the most influenced parameter second was cutting speed and then feed. Srikant and Rao (2014) studied the factors affecting the material removal rate during abrasive jet machining of FRP composite using Response Surface Methodology. For data analysis, ANOVA tool was used. Experimental factors such as Degree of freedom, Abrasive flow rate, Nozzle diameter, and MRR were considered. The study showed that the performance characteristics were improved by using these statistical tools and methods. Rama Rao and Padmanabhan (2012) studied the influence of process parameters such as voltage, feed rate and electrolyte concentration on material removal rate during Electro Chemical Machining (ECM) and used Taguchi and ANOVA methodology to obtain the optimized result. The result showed that the process parameters affected material removal rate while machining composites. Maximum material rate was 0.131 g/min and was calculated using the Taguchi optimization method. There was an increase in material removal rate with the increase in voltage, feed rate and electrolyte concentration. Sachin Ghalme et al. (2016) aimed to carry-out experiment on optimization of machine parameters to minimize surface roughness during milling operations on GFRP composites. The parameters considered for the analysis were cutting speed, depth of cut and feed rate. The Design of experiment (DOE), Taguchi tools were used for the analysis. The results showed that the feed rate has more influence on the surface finish followed by cutting speed and depth of cut. 2.3. Influence of Delamination on hole quality When both top surface and bottom surfaces are exposed, delamination is a major concern. Delamination occurs both at entrance and exit plane of the work piece. Mohan et.al (2006) studied the factors and combination of factors that influenced the delamination of GFRP composites using Taguchi and response surface methodology. The results of the study concluded that the systematic methodology provided by Taguchi resulted in minimizing the delamination and to achieve optimized machining conditions that would result in minimum delamination. The optimal parameters i.e., feed, cutting speed, drill tool diameter and material thickness were determined based on S/N ratio. Patil and Gurule (2013) investigated the cutting parameters such as cutting speed, feed rate point angle and material thickness that influence the delamination while drilling GFRP composites. It was found that at lower cutting speed and lower feed rate, the damage on un-directional GFRP composites are smaller while on multi-directional GFRP composites was higher. When compared with multi-directional GFRP composites, damages are minimal in unidirectional composites. Liew et al. (2012) studied the factors such as drill diameter, speed and feed rate. Mathematical models were developed for delamination and statistical significance of the parameter and their interactions on the delamination were determined. The parameters affecting delamination were speed and feed rate and ANOVA showed strong interaction between these two variables. Reduction in Delamination was found by increase in drilling speed and decrease in feed rate. Tsao and Hocheng (2003) statistically and experimentally studied the effect http://www.iaeme.com/IJMET/index.asp 1037 editor@iaeme.com An Investigative Study on the Application of Different Statistical Tools and Methods for Optimizing the Hole Machining on Polymer Matrix Composites – A Review of chisel edge length and pilot hole diameter while machining GFRP composites. They correlated the delamination in drilling to the thrust force of the drill during the drilling of the composite material. The results indicated that the drilling thrust can be reduced by cancelling the chisel edge effect and the critical thrust force is reduced by having a pre-drilled hole. A large hole with higher feed rate can be drilled in a composite material without the delamination damage by controlling the chisel edge length ratio. Selvan et al. (2015) studied the effect of the machining parameters on the delamination during the drilling of holes using Taguchi method to obtain the optimized value. The results showed that the tool diameter plays an important role during the entry of hole and during the exit of the hole, the speed and feed plays a significant role. Kishore et al. (2008) studied the parameters such as cutting speed, the feed rate and the drill point geometry on the residual tensile strength of the GFRP component. The residual tensile strength is severely affected by the high cutting speed. Shunmugesh (2014) presented the optimization of cutting condition such as delamination factor and surface roughness. The results indicated that the surface roughness is influenced by the spindle speed, point angle and feed rate. 3. OPTIMIZATION METHODS AND TECHNIQUES EMPLOYED BY THE RESEARCH WORK Krishnamurthy et al. (2009) observed that Taguchi orthogonal array L9 was mostly used find optimal level of parameter among the other selected parameter through minimum number of experiments on glass fiber reinforced polymer composites. The obtained results were analyzed by S/N ratio, in that “lower-is-better” was the most suitable for the response. Because, it was to minimizing effect on composites. Campus Rubio et al. (2008) carried out experiments on the E glass fiber with Epoxy resin composites using a Taguchi L27 orthogonal array technique for optimizing the process parameters effectively. This study also viewed interaction properties between the parameters. The predicted and experimental values were very close to each other because of the efficiently developed multi regression model. Vipan kumar et al. (2013) used Taguchi and ANNOVA techniques to determine the optimum level of process parameters on GFRP composite materials. The minimum delamination occurred on low level (5 mm) drill size, low level feed rate (0.02mm/rev.) and mean level of spindle speed (1440 rpm). Mustafa et al. (2016) applied Taguchi orthogonal L18 design for optimizing drilling process parameter on glass fiber reinforced plastic composites. The controlled factors were drill diameter, feed rate and spindle speed. The surface condition of composite was taken as one of the response. The S/N ratio were calculated from the delamination factors. The result showed that the feed rate was the most significant factor followed by drill diameter, spindle speed and surface condition. Bhatnagar et al. (2004) employed the Response surface methodology techniques to optimize effect of drilling delamination on carbon fiber reinforced plastic composites. In RSM, the Box–Behnken design was used to design the number of experiments and to develop the empirical model. This model was used to predict the interaction results without conducing experiment test on glass fiber reinforced plastic composites. Davim et al. (2007), Singh and Bhatnagar (2006), Kilikap (2010), in their research carried out experimental work on GFRP using carbide grade K20 helical drill bit of 5 mm diameter to optimize the process parameters in drilling of GFRP composites. They used Taguchi analysis with multi objective optimization techniques on fiber reinforced polymer composites to determine the significant factor for minimizing delamination effect. Enemouh et al. (2001), used RSM techniques to optimizing machining parameter on ytterbium fiber. During machining, the parameters namely laser power, modulation frequency, gas pressure, wait time, pulse width are considered with different level. The aim of this paper was to maximizing metal removal rate (MMR). In RSM – CCD method used to design 31 numbers of experiments and mathematical model were developed for predicting response results. Arindam and Alakesh (2013), carried out experiments to find out the influencing factors in the machining of metal matrix composutes composites.From the ANOVA analysis, the wait time and modulation http://www.iaeme.com/IJMET/index.asp 1038 editor@iaeme.com Naveen Guruputranavar and Dr. Sathish Rao U frequency were found to be the most influential factor for response. The interaction effects between the selected parameters explained with the help of 3-D surface plots. [50] Rajamurugan et al. (2013) designed Central composite rotatable design for setting up experimental design with 30 number of experiments by considering four factor namely spindle speed, tool feed rate, drill diameter and fiber orientation angle with five levels on GFRPC. From this analysis fiber orientation is not that much effect produced on delamination and found that the tool feed rate is most influential factor. .Shunmugesh et al. (2014) integrated Taguchi and Response surface methodology to study the effect of process parameters on GFRP composite machining. Rajamurugan et al. (2013) measured the tensile strength after drilling flax natural fiber composites. The two level three factors (spindle speed, feed rate and drill point geometry). Taguchi L8 designs are employed to identify significant factor. From the S/N ratio, the feed rate is one of influential factor followed by spindle speed and drill point geometry. From ANOVA technique, the feed rate was occupying 74% effect on response. Abdul et al. (2015) in their work have optimized the wet milling process parameters on nano particle by integration of Taguchi and RSM methods. In addition to that a Genetic algorithm were employed and it was found to give most optimal parameter for machining of composites. Tung-Hsu Hou et al. (2007) investigated the effect of process parameters on the delamination of medium density fiber board by taguchi techniques and obtained the 37 % & 39.2% contribution of feed rate and cutting speed on delamination respectively. Gaitonde et al. (2008) carried out the reaming operation to check the interaction effect of cutting parameters on the delamination of GFR composites. Kilicap (2010) observed that the delamination factor at exit was more than the entry panel of drill tool. The main reason of this variation is due to the adjusted layer is product the delamination effect at the entry level(top layer of composites) on drilling and at the same time the bottom layer is pulled out from the adjutant layer due to the direction of cutting force. In other words the top layer is compressed to nearby layer and bottom layer is pulled from the composites. Rajesh Kumar Verma et.al (2011) studied optimization with different process environment on randomly oriented GFRP polymer composite rods during machining. During the study, a modeling approach based on fuzzy rule based expert system was used with two input variable and one output i.e. MultiPerformance Characteristic Index (MPCI) combined with Taguchi method to satisfy conflicting requirements of material removal rate and surface roughness of machined composite product. Using this, a multi-response optimization problem was converted into an equivalent single objective optimization problem which was then solved by using Taguchi philosophy. By using the fuzzy rule it was easy to investigate the degree of influence of various process control factors, and accuracy in predicting the model analysis could be improved. Ramkumar et.al (2004) studied the effect of work piece vibration on GFRP laminate by using three types of drills, those are tipped WC, 2-flute solid carbide and 3-flute solid carbide. By giving a small amplitude low frequency vibration to work piece, the drill performance and hole quality improves and the delamination reduces. Among the three types of drills, 3-flute solid carbide performed the best. 3. DISCUSSION The outcomes of the above review revealed that, (i) the influence of the machining parameters such as spindle speed / cutting speed, and feed rate over the thrust force and surface roughness is more compared to other responses. (ii) Delamination of GFRP composite material is mainly influenced and determined by the feed rate and drill tool diameter. (iii) All these parameters have major contribution over the quality of the hole, the cutting speed is inversely proportional to the thrust force and torque. This paper have provided a literature review on the drilling of polymer matrix composite machining over the last 10 years with a specific focus on the process of conventional drilling. GFRP widely used for aeronautical, manufacturing aircraft and spacecraft structural applications requires an inevitable secondary processing of GFRP machining. As per the work material is concerned, glass fiber reinforced polymer, composites have been equally http://www.iaeme.com/IJMET/index.asp 1039 editor@iaeme.com An Investigative Study on the Application of Different Statistical Tools and Methods for Optimizing the Hole Machining on Polymer Matrix Composites – A Review investigated with conventional high speed steel twist drill which are used in equal to cemented, and tungsten carbide drills. With enhancement in the usage of the machining of FRP, machining has become a major concern in present situations. Unfortunately, the present knowledge and art of machining seems inadequate for economical utilization. Therefore an expert system based on fuzzy rule combined with Taguchi method are being used nowadays to fine tune the process parameter optimization as discussed in the previous section. 4. CONCLUSIONS This review work on fiber reinforced polymer composites under the influential factor is effectively studied. From the above work it is concluded as follows, The delamination factor is one of the major damage caused to the machined hole in the drilling of composite materials. The delamination effect was found to be due to the compression action taking place between the fiber at entry level and bush out of fibers happening at exit level of drill bit. The feed rate is one of the most significant factor over the other process parameters that influence the quality of the drilled hole. The delamination effect on FRP composites can be reduced by proper selection of parameters and its level. To minimizing thermal deviation on drilling, the small size hole is preferred as compare to large size of hole, because of reducing contact between tool and work. For predicting the response values effectively within the experimental work and cutting tool conditions, suitable empirical model, and optimization techniques are to be followed. 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