Optimization of delamination factor in drilling of carbon fiber filled compression molded GFRP composite

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Optimization of delamination in drilling of carbon fiber filled compression molded GFRP composite Anurag Gupta 1 Ajay Singh Verma Sandeep Chhabra Ranjeet Kumar Assistant professor, Department of Mechanical Engineering, Abstract The objective of the present work is to improve the drilled hole quality of compression molded glass fiber reinforced polymer composite (GFRP) by reducing the delamination occurs in drilling. The three process parameter namely % of carbon fiber as filler, spindle speed and feed rate of drilling. The experiments in the present work were carried out as per the Taguchi L9 orthogonal array to study the influence of various combinations of process parameters on hole quality. Analysis of variance (ANOVA) was performed on the raw data of delamination and signal to noise (S/N) ratios to find the significance of process parameters. It was observed that feed arte is the most significant that effect the delamination in drilling of compression molded GFRP composite. The optimal values of control s for optimum delamination 2.58 µm were found as carbon fiber 20 % spindle speed 1000 and feed rate 150 mm/min. Keywords: Carbon fiber, filler, compression molding, delamination Introduction Some machining processes is almost always required to applied over composite materials for their use in specific engineering application. Drilling is the most frequently used operation for assembly of structures or components but the composite damage called delamination is also associated with drilling composite laminates [1]. is one of the major problems encountered in drilling of composite laminates as compared to that of metals. It is generally regarded as a resin or matrix dominated failure [2]. This failure of composites is an inter-ply failure during drilling which leads due to the multi-phase structure and nonhomogeneity nature of the composites [3]. Hocheng and Tsao have beautifully explained the causes and mechanisms of formation of these push down delaminations and they have also reasoned out the dependence of extent of delamiantion on the feed rate [5] The structural integrity is strongly depends on fiber matrix interfacial interactions, fiber orientations, cutting directions and tool wear. Khashaba et al. [4] reported that catastrophic shear failure of the composite layers has been done due to the higher feed rates and cutting temperatures resulting poor surface integrity, lower bearing strength of machined holes while GFRP composite drilling. Arul et al. [6] have utilized acoustic emission technique to improve the quality and surface integrity of the machined hole during drilling on woven glass fabric/epoxy composite laminates. Murugesh and Sadashivappa [7] used filler material TiO2 and Graphite and found that the values of thrust and delamination can be reduced during drilling with the increase of filler %. Gupta et al.(2014)[8] investigated the effect of CaCO3 on hand layup GFRP composite tensile strength. Gupta et al.(2015) [9]used bagasse fiber, carbon black and CaCO3as filler in pultruded glass reinforced polymer composite and optimize the tensile strength. Gupta et.al. (2016)[10] develop hybrid filler for optimizing the flexural strength of pultruded jute fiber reinforced composite. Material used and Method: Material used for manufacturing of GFRP composite with carbon fiber as filler by compression molding process is as follows 1. Fiber for Reinforcement: Milled fiber glass 2. Filler: Milled carbon fiber 3. Matrix: Epoxy resin 4. Hardener:6-tetrahydrophthalic anhydride The specimen for performing the drilling operation were made by compression molding, the steel die is used for compression 249

molding is shown in figure 1. Figure 1: Die for compression molding of composite The following steps were followed to prepare the specimen 1. The 10 % hardener of resin weight was mixed in the epoxy resin. 2. The milled glass and milled carbon fiber was mixed in the epoxy as per design of experiments (DoE). But the total fiber % (carbon Fiber+glass fiber) was kept 70 % of resin weight. 3. The bulk molding compound developed in the second step was poured into the die cavity to fill the same and then the die was closed and subjected to the compression pressure on UTM. 4. The die was kept under pressure for 4-5 hours so the natural curing of composite takes place. 5. After curing of specimen the die was opened and a specimen was drawn out from die. After developing the specimens the drilling operation was performed on the developed specimens as per the DoE on CNC vertical milling center. The drilled specimen of carbon filled GFRP composite are shown in figure2. Figure2: Drilled compression molded carbon filled GFRP specimen Experimentation: To examine the effect of carbon fiber and drilling parameters on delamination of drilled hole the three parameters were selected on the basis of literature survey and there levels were decided by performing pilot experiments. The three selected parameters and their levels are given in the table1. Table1: Selected process parameters and their levels Parameter Level 1 LEVEL LEVEL 3 2 Carbon Fiber % (A) 10 15 20 speed 1000 2000 3000 RPM (B) Feed rate 150 200 250 mm/min (C) The drilling of holes in specimens were conducted as per Taguchi L9 orthogonal array after preparing the specimen as per same scheme of experiments. The experimental scheme as per Taguchi L9 orthogonal array is given in the table 2. Table 2: Experimental scheme as per Taguchi L9 orthogonal array Experimental Run Carbon fiber % speed(rpm) 1 10 1000 150 2 10 2000 200 3 10 3000 250 4 15 1000 200 5 15 2000 250 6 15 3000 150 7 20 1000 250 8 20 2000 150 9 20 3000 200 Feed rate (mm/min) After drilling the die penetration test were performed on the drilled compression molded carbon fiber filled GFRP composites. The steps for die penetration test were as follows: The GFRP composite laminates were cleaned using cleaner of dye penetrations test kit, checkmate make, type CL-96. Checkmates make, Type PT-97A, red dye was applied by spraying to the areas all around the hole. This dye penetrates into the micro cracks due to its low molecule nature. Once the dye settle into any delamination the excess dye was washed away and again cleaned with cleaner to remove the excess penetrant. Developer, Checkmate make, Type DV-98, was applied as a spray. Excess amount of the developer may wash the penetrant out of the damaged zone. The ultra violet light source was switched on before starting the dye penetrant test to allow the light to warm up to maximum brilliance. The composite laminates were inspected under the UV light and the information interpreted. A clear damage zone was visible all around the drilled hole. This damge zone was measured with the help of toolmakers microscope. The delamination was determined by equation1. F d D max d (1) Where, Fd= Factor, Dmax = Maximum Diameter of drill damaged zone and d =diameter of drill bit. The delamination zone is shown in figure 3 after dye penetration test applied on specimen 250

Table 3: S/N ratio values for the three levels Response Table for Tensile strength and S/N ratio Carbon fiber % speed Feed rate LEVEL L1 1.12-0.92 1.06-0.48 1.05-0.43 L2 1.11-0.91 1.09-0.74 1.12-0.95 L3 1.06-0.48 1.14-1.10 1.12-0.94 Differenc e 0.06 0.82 0.08 0.62 0.06 0.51 Rank 1 1 2 2 3 3 Figure 3 showing delamination zone after dye penetration test Result and Discussion: The delamination calculated for different composite specimen are given in table 3 along with the calculated S/N ratio. As the delamination is a lower the better type response so the S/ N ratio is calculated on the equation 2 Figure 4(a) (2) The experimental run as per Taguchi L9 orthogonal array along with calculated delamination are given in table 3 Table3: Taguchi L9 OA with responses (raw data and S/N ratios). Figure 4(b) Run R1 R2 R3 Mean S/N Ratio 1 1.028 1.028 1.028 1.028-0.24 2 1.119 1.138 1.138 1.131-1.07 3 1.183 1.183 1.183 1.183-1.46 4 1.101 1.101 1.101 1.101-0.84 5 1.128 1.119 1.119 1.122-1.00 6 1.110 1.110 1.110 1.110-0.91 7 1.046 1.037 1.046 1.043-0.36 8 1.018 1.018 1.018 1.018-0.16 9 1.110 1.110 1.119 1.113-0.93 Figure 4(c) Figure 4 Effect of process parameters on delamination raw data and S/N ratio (main effects). (a) Effect of carbon fiber % on raw data and S/N ratio; (b) Effect of spindle speed on raw data and S/N ratio and (c) effect of feed rate on raw data and S/N ratio The average values of delamination raw data and S/N ratio for each parameter at level L1, L2 and L3 were calculated and are given in Table 4. These values have been plotted in Figure 4. From figure 4(a) it is evident that the delamination of drilled hole reduced as the % of carbon fiber increased in carbon fiber filled GFRP composite. Although is reduction delamination is very less when carbon fiber % increased from 10 to 15% but reduced significantly as carbon % increases 251

from 15 to 20 %. It was found that the delamination of drilled hole first increases as the spindle speed increases from 1000 rpm to 2000 rpm and delamination further remains almost constant when spindle speed increases from 2000 rpm to 3000 rpm as shown in Figure 4(b). Experiments also reveals that the delamination of drilled hole in carbon filled GFRP composite increases with the increases of feed rate and this can be seen in the figure 4(c). ANOVA for S/N data and the raw data for delamination are given in Tables 5 and 6 respectively. As the F calculated is greater than F table for ANOVA of raw data and S/N ratio, so it is clear that carbon fiber %, spindle speed, and Feed Rate significantly affect both the mean and the variation in the delamination of hole. Table5: analysis of Variance for delamination ( Data) Source Seq SS DOF Variance P (%) F- F- Ratio table Carbon fiber % 0.0052 2 0.0026 7.35 26.12 speed 0.0048 2 0.0024 6.67 23.70 3.49 Feed Rate 0.0593 2 0.0297 83.17 295.56 Error 0.0020 20 0.0001 2.81 T 0.0713 26 * 100.00 * significant s at confidence level 95%, F-Ratio Table=3.49 Table6: analysis of Variance for delamination (S/N ratio) Source Seq SS DOF Variance P (%) F- F- Ratio table Carbon fiber % 0.3787 2 0.1894 25.25 27.16 speed 0.5846 2 0.2923 38.97 41.93 19 Feed Rate 0.5228 2 0.2614 34.85 37.49 Error 0.0139 2 0.0070 0.93 T 1.5001 8 100.00 * significant s at confidence level 95%, F-Ratio Table=19 Optimum performance characteristics estimtion: The optimum value of delamination was predicted at the selected levels of significant parameters A3, B3 and C1. The estimated mean of the response i.e. delamination was determined (Ross, 1988; Roy, 1990) as delamination sile strength =A3+ B1 +C1-2 T=1.03 where T : Overall mean of tensile strength = 1.09 A3: Average delamination at the third level of carbon fiber % = 1.06 B1 : Average delamination at the first level of spindle speed = 1.06 C1 : Average delamination at the first level of feed rate = 1.05 Substituting the values of various terms in the above equation, The 95% confidence interval of confirmation experiments (CICE) and of population (CIPOP) was calculated by using the following equations: And (3) (4) where, Fα(1, fe): The F ratio at the confidence level of (1 α) against DOF 1 and error DOF fe N: Total number of results = 27 (treatment = 9, repetition = 3) R: Sample size for confirmation experiments = 3 Ve: Error variance = 0.0001 (Table 5), fe = error DOF = 20 (Table 5). eff =3.86 N ( 1 DOFassociatedin the estimateof mean response) F ( 1,20) 3.49 (Tabulated F value; Roy, 1990)[11] CICE = ± 0.014 and CIPOP = ±.01 Therefore, confidence interval of predicted mean at 95% confidence level is: Mean delaminati on -CICE< delaminati on <Mean delaminati on + CICE =1.046 < delaminati on < 1.074 Confidence interval of the population at 95% confidence level is: Mean delaminati on CIPOP< delamiatio n <Mean delaminati on +CIPOP =1.05< delaminati on < 1.07 The optimal values of process parameters for the predicted ranges of delamination are as follows: Third level of carbon fiber % = 20% First level of speed = 1000rpm Ffirst level of Feed rate = 150 mm/min Confirmation Experiments Three confirmation experiments were conducted at the optimum setting of the process parameters. The average delamination was found 1.055 MPa, which was within the confidence interval of the predicated optima of delamination. Conclusion The effect of three process parameter Carbon fiber %, spindle speed and feed rate on delamination of drilled hole in carbon filled GFRP composite was investigated. The following conclusions can be drawn from the study: 1. The predicted optimal range for delamination is CIPOP: 1.05< tensile strength<1.07 252

2. The 95% confidence interval of the predicted mean for delamination is 1.046< tensile strength<1.074 3. The delamination in drilled hole of composite reduces with the increase carbon fiber % from level 1 to 3. 4. The optimum delamination was obtained when spindle speed and feed rate are at their first level. 5. The optimum parameter setting for lower delamination within the parameter range was found as 20% carbon fiber as filler in GFRP composite, spindle speed and feed are in drilling a hole as 1000 rpm and 150mm/min respectively. 10. Gupta, A., Singh,. H., & Walia, R.S (2017). Effect of Process Parameters on Pultruded Jute Fiber Polymer Composite Flexural Strength. International Journal of Industrial Production and Material Science, 1(1), 9-18. 11. Roy, R.K. (1990). A primer on Taguchi method. Van Nostrand Reinhold, New York,. 37-213. Referecnce: 1..Rajamurugan TV, Shanmugam K, Palanikumar K. Analysis of delamination in drilling glass fiber reinforced polyester composites. Mater Des 2013;45:80 7. 2. Jain, S., and Yang, D. C. (1994). -free drilling of composite laminates. Journal of engineering for industry, 116(4), 475-481. 3. Bonnet C, Poulachon G, Rech J, Girard Y, Coastes JP. CFRP drilling: fundamental study of local feed force and consequences on hole exit damage. Int J Mach Tools Manuf 2015;94:57 64. 4. H. Hocheng, C.C. Tsao, Analysis of delamination in drilling composite materials using core drill, Aust. J. Mech. Eng. 1 (1) (2003) 49 53. 5. Khashaba UA, EI-Sobaty IA, Selmy AI, Megahed AA. Machinability analysis in drilling woven GFR/epoxy composites: Part I Effect of machining parameters. Compos Part A 2010;41:391 400. 6. Arul S, Vijayaraghavan L, Malhotra SK. Online monitoring of acoustic emission for quality control in drilling of polymeric composites. J Mater Process Technol 2007;185:184 90. 7. Murugesh, M. C., & Sadashivappa, K. (2012). Influence of filler material on Glass fiber epoxy composite laminates during drilling. International Journal of Advances in Engineering & Technology, 3(1), 233-239. 8. Gupta, A., Singh, H., & Walia, R. S. (2016). Hybrid filler composition optimization for tensile strength of jute fibre-reinforced polymer composite. Bulletin of Materials Science, 39(5), 1223-1231. 9. Gupta, A., Singh, H., & Walia, R. S. (2016). Optimization of tensile strength of pultruded glass fiber composite, international journal of advance research in science and engineering,5(1).144-151. 253