S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... 591–600 INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS IN MILLING CARBON-FIBER-REINFORCED POLYMER COMPOSITE MATERIAL PREISKAVA SIL REZANJA IN HRAPAVOSTI POVR[INE PRI REZKANJU KOMPOZITNEGA POLIMERNEGA MATERIALA, OJA^ANEGA Z OGLJIKOVIMI VLAKNI Senol Bayraktar1, Yakup Turgut2 1Recep Tayyip Erdogan University, 53100 Rize, Turkey 2Gazi University, Faculty of Technology, Manufacturing Engineering, 06500 Teknikokullar, Ankara, Turkey senol.bayraktar@erdogan.edu.tr, senolbyrktr@gmail.com Prejem rokopisa – received: 2015-07-03; sprejem za objavo – accepted for publication: 2015-07-27 doi:10.17222/mit.2015.199 In this study, milling of a carbon-fiber-reinforced polymer composite material (CFRP) was investigated experimentally using various carbide end mills. The input parameters included the spindle speed, feed rate and cutting tool, whereas the output parameters were defined as the cutting force and surface roughness. The experimental design was based on the Taguchi L18 (61×32) orthogonal array. In the tests, six different carbide end mills with a 10 mm diameter were used: an uncoated two-flute 30° helix-angled one; carbide-coated two-, three- and four-flute 30° helix-angled ones; and TiAl-coated three- and four-flute 45° helix-angled ones. The cutting parameters included three different feed rates (0.03, 0.06, 0.09) mm/tooth and three different spindle speeds (3800, 4800, 5800) min–1. The Taguchi method was applied to select the most appropriate cutting parameters (cutting force, feed rate) for the tests. With the analysis of variance (ANOVA), the feed-rate factor was found to be the most effective one among these parameters (cutting forces and surface roughness). The results of the experiments showed that the uncoated carbide end mill had a better performance in terms of the cutting forces and surface roughness. Besides, it was also seen that the surface roughness increases with the increasing number of flutes and helix angle. Keywords: CFRP, cutting forces, surface roughness, Taguchi method, ANOVA V {tudiji je bil eksperimentalno prou~evano rezkanje polimernega kompozitnega materiala, oja~anega z ogljikovimi vlakni (CFRP) z uporabo rezkarjev z razli~nim karbidnimi nanosi. Vhodni parametri so vklju~evali hitrost vrtenja vretena, hitrost podajanja in rezalno orodje, medtem ko sta bila izhodna parametra sila rezanja in hrapavost povr{ine. Zasnova eksperimenta je temeljila na Taguchi L18 (61×32) ortogonalni matriki. Pri preskusih je bilo uporabljenih {est razli~nih cilindri~nih rezkarjev s premerom 10 mm, dvorezni s kotom spirale 30° brez nanosa, dvo, tri in {tirirezni s kotom spirale 30° prekriti s karbidi ter tri- in {tirirezni rezkar s kotom spirale 45° in nanosom TiAl. Uporabljeni parametri rezanja so vklju~evali tri razli~ne hitrosti podajanja (0.03, 0.06, 0.09) mm/zob in tri razli~ne hitrosti vrtenja vretena (3800, 4800, 5800) min–1. Za izbiro najprimernej{ih uporabljenih parametrov (sila rezanja, hitrost podajanja), je bila uporabljena Taguchi metoda. Med uporabljenimi parametri (sila rezanja in hrapavost povr{ine) se je pokazalo, s pomo~jo analize variance (ANOVA), da je hitrost podajanja najbolj vpliven faktor. Rezultati preskusov so pokazali, da ima rezkar brez nanosa karbida, bolj{e zmogljivosti glede na sile rezanja in hrapavost povr{ine. Poleg tega se je pokazalo, da hrapavost povr{ine nara{~a z ve~anjem {tevila utorov in kota vija~nice. Klju~ne besede: CFRP, sile rezanja, hrapavost povr{ine, Taguchi metoda, ANOVA 1 INTRODUCTION In the aviation and automotive industry, processing of composite materials constitutes the great majority of the machining operations. On the composite materials, ma- chining operations such as milling, drilling, edge cutting, turning and grinding are practiced. In these applications, some undesired situations such as tool wear, delamina- tion and fiber rupture are encountered due to non-uni- form structures of composite structures. The reasons for these situations are unsuitable cutting parameters and cutting conditions.1 Milling is a widely used process in the machining of CFRP materials. A composite material, which is taken out of the mold, cannot be used directly. Certain remo- vals from the material surface must be made with respect to the previously specified dimensions and tolerances. The milling process, which provides a surface of desired quality, plays a significant role in the shaping of the CFRP materials. Besides, the surface roughness also plays an effective role in the optimization of cutting parameters and tool geometries because of its significant effect on the dimension accuracy and production costs.2,3 The surface roughness is one of the most important factors in machining, influencing the manufacturing performance. The realization of the desired function of machine parts (in contact with each other) achieved by spending minimum energy depends on the surface roughness.4 In order to achieve the desired quality of a machined surface, it is necessary to understand the me- chanisms of material removal and the kinetics of machin- ing processes affecting the performance of cutting tools.5,6 Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 591 UDK 620.1:67.017:678.7 ISSN 1580-2949 Original scientific article/Izvirni znanstveni ~lanek MTAEC9, 50(4)591(2016) Previous researchers investigated the effect of the rotational speed and feed rate on the cutting forces in the milling of a polymer carbon-fiber composite material, using time series and the empirical relationship for the amplitude of the cutting force (Fx) to find the highest coefficient of delamination (R2).7 However, if all three components of the total forces (Fx, Fy, Fz in the x, y, z directions, respectively) had been taken into account, the coefficient of delamination could have been calculated more precisely. The obtained vibration graphs were examined according to the test results and it was found that there was a decrease in the cutting forces with an increase in the number of revolutions, while the cutting forces increased as the feed-rate values increased. They evaluated the surface roughness and delamination in the milling of a 55 % fibered and 0°/90° angled carbon- fiber-reinforced composite material, using the Taguchi method, ANOVA and multiple regression analysis with respect to the cutting speed and feed-rate parameters. After the measurement of the maximum width of damage (Wmax) caused by the material, the damage normally assigned to the delamination factor (Fd) was determined. This factor is defined as the ratio between the maximum width of damage (Wmax) and the width of cut (W). The delamination-factor value was calculated with Equation (1): F W Wd = max (1) In their work, it was observed that the surface roughness and delamination factor increased depending on the increased feed rate and cutting speed.5 They also investigated the effects of the cutting-tool helix angle, the coating process and the cutting force on the delami- nation factor and surface roughness in their experimental study. An experimental study on the optimum machining of fiber-reinforced composite materials was made. It was specified that a higher cutting speed and a lower feed rate had to be used at a constant depth of cut in order to decrease delamination and the fiber amount and fiber angles of the material were also important to obtain the optimum results. They concluded that the upper and lower layers of fiber-reinforced composite materials have the biggest influence on the surface quality when cutting these materials.8 Thus, the milling of these materials requires a very sharp cutting edge, which is particularly necessary for solid carbide millig cutters. They investi- gated the cutting forces, created in the helical and ortho- gonal machining of multi-directional (60°/0°/120°) and unidirectional (60°) CFRP material, using the artificial- neural-network (ANN) method. In their work, it was emphasized that mechanistic modeling approaches are valid for machining FRPs and predictive capabilities of cutting forces can calculated for a rotating helical milling tool and for any fiber orientation using ANNs.1 They also used different numbers of flutes/edges or helix- angled cutting tools and different fiber orientations for modelling approaches. The effect of different cutting parameters (cutting speed, feed rate and tool geometry) on the surface rough- ness in the machining of glass-fiber-reinforced polymer composite material was investigated. In all of the cutting tests, depending on the increase in the feed rate, an increase in the surface roughness was observed and the best surface quality was obtained with a four-flute car- bide end mill at the highest cutting speed and the lowest feed rate. Moreover, according to their study it is evident that the surface roughness increased with the increasing number of flutes.9 However, the surface roughness must increase with the increasing number of flutes due to the contact unit time. Thus, this situation can bring about an increase in the temperature in the cutting zone. ANOVA was used to identify significant factors using the grey relational grade value. According to the ANOVA results, it is clear that the fiber orientation angle (51.00 per cent) has the main influence on the milling of GFRP compo- sites, followed by the helix angle (19.54 per cent), the feed rate (14.37 per cent) and the spindle speed (1.56 per cent).10 They also pointed out different optimization approaches and multiple regression analysis in their study. In this way, they were able to reveal more realistic results. In another study, the hole delamination created during the drilling of FRP plates was shows, using a digital-analysis-based approach. Since a digital image is considered as the matrix where columns and rows identify one point of the image, the value corresponds to the luminous intensity of this point. The image process- ing produces satisfactory results, allowing an observation and analysis of the details from the digitalized image. Thus, in their work, the digital image of the damage area is used to characterize its extension at the hole entrance and exit. As a result, a comparison of the created dela- mination factors was made using the digital-analysis approach according to the cutting speed and feed rate in the tests. An increase in the delamination factor was found to depend on the increase in the cutting speed and feed rate.11 This digital-analysis-based approach can also be applied to the milling of FRP materials using different cutting parameters and tool geometries. The researchers developed a delamination-prediction model using a multilayer feed-forward ANN and a training EBPT algorithm. They claimed that the developed ANN model showed a good correlation for both the training and testing data sets and that the delamination decreased with an increase in the number of revolutions, while it in- creased when a drill of a bigger tip angle was used.12 Moreover, they also stated that at higher feed-rate values the drill could not function properly due to the coherence on the tool edges, causing an increase in the delamina- tion. They developed a mathematical analysis method for the analysis of delamination in drilling FRPs. The dela- mination was measured using the ultrasonic C-scan method. They claimed that as the tool wear increased, the feed-rate factor increased. Furthermore, the feed-rate S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... 592 Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 factor decreased with a decrease in the number of revolu- tions and increased with an increase in the feed-rate values.13 In another study, chip-formation mechanisms were used, the Taylor tool-wear constants were deter- mined and the surface roughness was measured with respect to the cutting speeds and feed rates. Moreover, the authors observed an increase in the tool wear and surface roughness due to the increase in the cutting speed and fiber angle, depending on the constant feed rate in turning.14 They investigated the effect of the fiber orientation on the grindability of CFRPs. They claimed that the surface roughness increased with the increase in the fiber angle and chip formation. The grinding forces and surface integrity were also found to depend on the fiber orientations in the grinding of an FRP.15 In this study, the effects of cutting parameters and cutting-tool properties (coated or uncoated, the helix angle, the number of flutes) on the cutting force and surface roughness were experimentally investigated for the 45° orientation angle in the milling of CFRP. Be- sides, the experimental results were optimized using the Taguchi method and the most effective cutting para- meters (cutting speed and feed rate) for the cutting force and surface roughness were determined through a variance analysis (ANOVA). 2 EXPERIMENTAL PROCEDURE 2.1 Materials and method In the milling of a CFRP material, six different car- bide end mills with a 10 mm diameter were used: an uncoated two-flute 30° helix-angled mill; two-, three- and four-flute 30° helix-angled mills; and TiAl-coated, three- and four-flute 45° helix-angled carbide end mills. For the tests, coated carbide end mills of the GC1630 quality, PVD-coated with TiAl, with a coating thickness of 3–5 μ and made of fine-particle cemented carbide were used. The technical properties of the end mills used in the tests are given in Table 1. The tests were made at three different revolutions: 3800, 4800, 5800 min–1 and three different feed rates: 0.03, 0.06, 0.09 mm/tooth, and at a 1 mm depth of cut (Table 2). Table 2: Cutting parameters Tabela 2: Parametri rezanja Spindle speed (min–1) Feed rate (mm/tooth) Depth of cut (mm) 3800, 4800, 5800 0.03, 0.06, 0.09 1 A CFRP composite material (polymer matrixed) was used in the tests. In accordance with ASTM D 792, the density test result as well as the mechanical, thermal and electrical properties of the CFRP material are given in Table 3. Table 3: Physical properties of the material used in the tests according to ASTM D 792 Tabela 3: Fizikalne lastnosti materiala uporabljenega pri preskusih po ASTM D 792 M at er ia l D en si ty (g r/ cm 3 ) P er ce nt ag e by w ei gh t of fi be r T he rm al co nd uc - tiv it y (W /M k) F ib er di am et er (μ m ) E le ct ri ca l co nd uc - tiv it y (μ - -m ) Te ns il e m od ul us (G Pa ) Te ns il e st re ng th (G Pa ) CFRP 1.59 74.6% 5 7 18 231 3.75 In Figure 1, the fiber orientation angles of the mate- rial used in the tests are given. The lay-up sequence of the CFRP was [0°/45°/90°/45°/–45°/90°/45°/0°]; it was created as a laminate. The CFRP composite used for the milling studies had a thickness of 15 mm. The cutting tests were carried out on a Johnford VMC-850 CNC vertical machining center. In order to obtain the optimum results the Taguchi orthogonal array was used for specifying suitable factors and levels from the cutting parameters. S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 593 Table 1: Coated and uncoated carbide end mills used in the tests Tabela 1: Karbidni rezkarji, z nanosom in brez nanosa, uporabljeni pri preskusih Cutting tool Cutting-tool manufacturer code Taguchi cutting-tool code Diameter (mm) Number of flutes Helix angle Helix length (mm) Cutting- tool length (mm) Cutting-tool view TiAl-coated carbide R216.32-10030- AC19P (b) 10 2 30° 19 72 Uncoated carbide R216.32-10030- AC19A (a) 10 2 30° 19 72 TiAl-coated carbide R216.33-10030- AC19P (e) 10 3 30° 19 72 TiAl-coated carbide R216.33-10045- AC19P (f) 10 3 45° 19 72 TiAl-coated carbide R216.34-10030- AC22N (d) 10 4 30° 22 72 TiAl-coated carbide R216.34-10045- AC22N (c) 10 4 45° 22 72 After each machining operation, surface-roughness (Ra) measurements were made using a surface-roughness measurement device called Mahr Perthometer M1. At least three points were measured to obtain the surface- roughness values. Cutting forces were measured with a KISTLER 9257B type dynamometer and a KISTLER 5070A type amplifier. The cutting-force values measured with the dynamometer were transferred to the computer digitally and graphically using the Dynoware software. The cutting and feed-rate direction used in the tests are given in Figure 2 and a schematic representation of the experimental set-up is given in Figure 3. The orientation of the resultant force with respect to the cutting direction is defined with Equation (2):  e t c = ⎛ ⎝ ⎜ ⎞ ⎠ ⎟−tan 1 F F (2) The resultant orientation signifies the magnitudes of Fc and Ft, being relative to each other. The thrust force is greater than the principal force (the cutting force) for fiber orientation angles larger than 45°. Contrary to the cutting-force behavior in metal cutting, the thrust force is found to be higher than the corresponding principal force for fiber orientations (0° <   75°), except for the data taken from some investigations.16,17 In general, the thrust force exhibited a more complex behavior than the prin- cipal force. An increase in the thrust force is exhibited when cutting small positive fiber orientations; then the thrust force decreases with further increase in the fiber orientation. The chip-formation mode in cutting positive fiber orientations (0° <  < 90°) was described previously as the fiber-cutting mode, which consists of fiber cutting by compression shear followed by chip flow upward on the rake face by interlaminar shear along the fiber-matrix interface. It was noted that this type of chip formation is similar (only in the appearance because of the absence of plastic deformation) to the chip formation by shear in metal cutting. In these cases, the principal (cutting) force Fc and the thrust force Ft can be resolved into a shear force, Fs, acting along the shear plane, and a normal force, Fn, acting on the shear plane as shown in Figure 4 and with Equations (3) and (4), respectively. It is noted here that the shear plane cutting FRPs is generally found to coincide with the plane of the fibers for fiber orien- tations (0° <  < 90°): F F Fs c t= −cos sin  (3) F F Fn c t= −sin cos  (4) S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... 594 Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 Figure 1: Scanning-electron-microscope (SEM) images of the materials used in the tests Slika 1: Pregled materialov uporabljenih pri preskusih (SEM) Figure 3: Experimental set-up for the milling test Slika 3: Eksperimentalni sestav pri preskusu rezkanja Figure 2: 45° fiber orientation and rotation direction of the cutting tool: a) isometric, b) top view Slika 2: 45° orientacija vlaken in smer rotacije rezilnega orodja: a) izometri~no. b) pogled z vrha It is also shown in Figure 4 that the resultant force, R, makes an angle e to the fiber orientation. The beha- vior of angle e and normal force Fn with the fiber orientation may be linked to the chip-formation mode.4 2.2 Experimental design The Taguchi experimental design was used in order to determine the control parameters that affect the cutting force and surface roughness and to minimize the time and costs with the minimum number of tests. An orthogonal array for three factors at six levels was used for describing of experimental design (Table 4). Table 4: Assignment of the levels to the factors Tabela 4: Opis nivojev in faktorjev Symbol Factors Level 1 2 3 4 5 6 A Cutting tool(carbide end mill) a b c d e f B Spindle speed(min–1) 3800 4800 5800 - - - C Feed rate(mm/tooth) 0.03 0.06 0.09 - - - The L18 (61×32) array mixed type shown in Table 5 was determined with eighteen rows corresponding to the numbers of the tests and three columns at six levels. The factors and the interactions are designated to the co- lumns. The experimental design is made up of eighteen tests where the first column was designated to the test num- ber, the second column to the carbide end mills (a,b,c,d,e,f), the third column to the spindle speed (rev/min) and the fourth column to the feed rate (mm/tooth). An analysis of variance of the data realting to the cutting force, Fc (N) and surface roughness Ra (μm) for the CFRP material was made with the aim of analyzing the influence of the cutting tool (a carbide end mill), spindle speed (min–1) and feed rate (mm/tooth) on the total variance of the results. Table 5: Orthogonal array L18 (61×32) Tabela 5: Ortogonalna matrika L18 (61×32) L18 (61×32) test Cutting tools (Carbide end mills) Spindle speed (min–1) Feed rate (mm/tooth) 1 a 3800 0.03 2 a 4800 0.06 3 a 5800 0.09 4 b 3800 0.03 5 b 4800 0.06 6 b 5800 0.09 7 c 3800 0.06 8 c 4800 0.09 9 c 5800 0.03 10 d 3800 0.09 11 d 4800 0.03 12 d 5800 0.06 13 e 3800 0.06 14 e 4800 0.09 15 e 5800 0.03 16 f 3800 0.09 17 f 4800 0.03 18 f 5800 0.06 3 RESULTS AND DISCUSSION The milling tests were conducted to evaluate the effect of the cutting parameters and cutting-tool proper- ties (the helix angle, TiAl-coated or uncoated) on the cutting force and surface roughness for the 45° fiber orientation angle. The cutting forces were determined with Equations (3) and (4). The value of the feed rate (mm/min) was calculated with Equation (5): f f znz= (5) where fz is the feed per tooth, z is the number of flutes and n is the number of revolutions. The value of the sur- face roughness (μm) was calculated with Equation (6) where f is the amount of feed in mm/min, r is the cutt- ing-tool radius in mm and Ra is the average surface roughness (μm):18 R f ra = 2 32 (6) In this study, the Taguchi experimental design makes it possible to isolate the effects of individual machining parameters at different levels using either the average values of experimental outputs or their corresponding S/N ratios. Herein, analyses of the effects of the ma- chining parameters were performed on the basis of the S/N ratios of the machinability outputs using response graphs and an analysis of variance (ANOVA). ANOVA was performed to determine the relative influence of the experimental parameters on each of the machinability outputs. This can be accomplished by calculating the variability of the computed S/N ratio for each parameter and the associated error. S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 595 Figure 4: Cutting-force components along and perpendicular to the plane of fibers Slika 4: Komponente sile rezanja vzdol` in pravokotno na ravnino vlaken In the Taguchi experimental design for a variable product or process and uncontrollable factors, the most suitable combinations of controllable-factor levels are selected and the variability of the product or process is optimized for a certain purpose as the smaller-the-better (SB), the nominal-the-best (NB) and the higher-the- better (HB).19 The results obtained with the cutting tests are given in Table 6. The test results, obtained with the Taguchi experimental design were evaluated by convert- ing them into the signal/noise (S/N) ratio. S/N values were calculated with the smaller-the-better Equation (7) because the stresses due to the parameters affecting the cutting force and surface roughness were desired at the lowest level. Here, Y is the performance-characteristic value (the stress), n is the number of Y values. The values with the highest S/N ratio among the levels of the factors in the tests created the best performance. Besides, the degrees of importance of the factors were investigated statistically on the test results with the variance analysis (ANOVA) and the best combination was determined with his study.20 Smaller-the-better: S N n yi i n SB = − ⎛ ⎝ ⎜ ⎞ ⎠ ⎟ = ∑10 1 2 1 lg (7) The cutting force is one of the most important output variables, created during the process and is directly affected by any variable. These variables, which affect the cutting forces are feed rate, depth of cut (radial and axial), cutting speed, tool and turning-chip geometry, workpiece material, tool-work interface dynamic charac- teristics, fixture system, development of the wear on the tool cutting surfaces, temperature and vibration. The cutting forces affecting the tool is an important data source for the condition of the tool. This information can be used for a better understanding of machinability, tool fracture, tool wear and surface integrity.21,22 The cutting forces created during the milling of the CFRP material with two-flute, 30° helix-angled TiAl- coated and uncoated carbide end mills are shown in Figure 5. In Figure 5, an increase in the cutting forces was ob- served for both the coated and uncoated carbide end mills, with the increasing feed rates depending on the constant depth of cut (ap) and the number of revolutions (n). This can be explained with the increase in the turning-chip volume per unit time with the increase in the feed rate.23 In their study24, the authors explain the S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... 596 Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 Table 6: Taguchi experimental design Tabela 6: Taguchi na~rt preskusa Experiment number A B C Fc (N) Ra (μm) Cutting force (N) S/N (dB) Surface roughness (μm) S/N (dB) 1 a 3800 0.03 101.8 40.1550 1.147 1.19127 2 a 4800 0.06 121.6 41.6987 1.259 2.00051 3 a 5800 0.09 129.7 42.2588 1.406 2.95971 4 b 3800 0.03 113 41.0616 1.179 1.43028 5 b 4800 0.06 132.6 42.4509 1.231 1.80516 6 b 5800 0.09 139 42.8603 1.263 2.02807 7 c 3800 0.06 98 39.8245 1.400 2.92256 l8 c 4800 0.09 117.8 41.4229 1.647 4.33387 9 c 5800 0.03 91.3 39.2094 1.078 0.65238 10 d 3800 0.09 130.8 42.3322 1.581 3.97864 11 d 4800 0.03 113.3 41.0846 1.093 0.77240 12 d 5800 0.06 133.2 42.4901 1.420 3.04577 13 e 3800 0.06 112.8 41.0462 1.191 1.51824 14 e 4800 0.09 96.2 39.6635 1.367 2.71537 15 e 5800 0.03 101.8 40.1550 1.181 1.44500 16 f 3800 0.09 115.9 41.2817 1.544 3.77295 17 f 4800 0.03 96.4 39.6815 1.173 1.38596 18 f 5800 0.06 160.8 44.1257 1.309 2.33879 Figure 5: Variation of cutting forces depending on the cutting-tool type and feed rate Slika 5: Spreminjanje sile rezanja v odvisnosti od vrste orodja in hitrosti podajanja impact of the axial and tangential feed rates per tooth on the process forces. They also noticed an increase in the cutting forces with the increasing feed rates. In another study, they also described an increase in the cutting tem- peratures with the cutting forces. As a result, undesirable thermal stresses occurred in the cutting tool and the workpiece. The maximum cutting temperature of 44°C was reported for the cutting speed of 35 m/min and feed rate of 0.178 m/min.25 It referred to a glass-fiber-rein- forced laminate that was machined with a PCD tool. It is seen that at low and moderate feed rates per tooth, only slight increases in the normal force occur over a cutting- speed range of 1200–2400 m/min. In these tests, the cutting force increased due to the cutting-tool coating process. The coating on the cutting tool increased the hardness and strength of the cutting tool.26 Besides, the cutting-tool coating caused a lower frictional coefficient and, as a result, the cutting forces of the coated tools were lower.27 In relation with this, the lowest cutting force was determined for the coated tool at the lowest feed rate (0.03 mm/tooth).26 Depending on the constant depth of cut and the num- ber of revolutions, the surface roughness created during the milling of the CFRP material with the two-flute carbide end mill is given in Figure 6. As shown in Figure 6, when the coated and uncoated carbide end mills were compared with respect to the surface roughness, the roughness values at the feed rates of 0.03 and 0.06 mm/tooth came out to be very close to each other whereas, at higher feed rates, a better surface quality was obtained with the uncoated carbide end mills. They also confirmed in their study that the surface roughness decreased with an increase in the cutting speed, but no critical speed could be identified. This could have been due to the fact that the cutting speed range used in these studies was below the critical cutting speed. All of the experimental studies confirm that the feed rate is the most influential factor in determining the surface roughness. In these tests, the cutting-tool coating causes a thickening in the form of a cutting edge and the cutting tool ruptures the fibers rather than cutting them, which causes the coating and the workpiece to chemi- cally react. For this reason, in the tests carried out with the coated cutting tools, the surface roughness was higher compared to the uncoated tools.28 They also pointed out in their study that the feed rate is the cutting parameter which has a greater influence on the surface roughness (33.43 per cent) when milling GFRP compo- site materials with solid carbide coated with PCD.29 Depending on the constant depth of cut and the num- ber of revolutions, the surface roughness created during the milling of the CFRP material with all of the carbide end mills is given in Figure 7. An increase in the surface roughness with the increase in the feed rates was observed for all the carbide end mills (Figure 7). It was specified that this was an expected result and was also present in the literature. They also found that the surface roughness increases with the increase in the feed rate. In these tests, it was also observed that there was an increase in the surface roughness with the increase in the number of flutes and the helix angle.30 Depending on the increasing feed rates, the best surface quality in all the tests was obtained with the two-flute 30° helix-angled uncoated carbide end mill. It was specified that the increase in the number of flutes and helix angles adversely affected the surface quality.5 According to another study, the feed rate is also the most significant factor affecting the surface roughness.31 Even the wear of the machining edge causes a high increase in the cutting resistance, which, in turn, leads to a plastic strain of the surface layers of the sample and delamination. What may be observed here is a correla- tion between the delamination size and the feed rate and cutting speed. Every single growth of these quantities translates into an increase in the cutting forces and an increase in the surface roughness. Figure 8 shows a se- lected microscope photograph of the milling surface (the speed of cutting is fixed, while the feed rate is change- able). S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 597 Figure 7: Feed rate/surface roughness relationship for all carbide end mills used in the tests Slika 7: Odvisnost hitrosti podajanja in hrapavosti povr{ine za vse karbidne rezkarje uporabljene v preskusu Figure 6: Variation of the surface roughness depending on the cutting-tool type and feed rate Slika 6: Spreminjanje hrapavosti povr{ine, v odvisnbosti od vrste orodja za rezanje in hitrosti podajanja 3.1 Analysis of variance (ANOVA) The experimental design and statistical analysis (ANOVA) were made with respect to a mixed-level design through the Minitab 15.0 software. According to the ANOVA analysis of the cutting force (Table 7), the feed rate had the highest effect with a 53.06 % ratio. The effects of the cutting tool and the number of revolutions were 22.93 % and 16.17 %, respectively. In the ANOVA analysis of the surface roughness (Table 8), the feed rate again had the highest effect with a 86.01 % ratio and the effects of the cutting tool and the number of revolutions were low. On the basis of the test results, S/N ratios and opti- mum parameters were estimated. In Figures 9 and 10, the S/N ratio graphs of control factors are given depend- ing on the cutting force and surface roughness. In Figure 9, the cutting parameters for the cutting force, obtained through the Taguchi optimization were found to be "A3B1C1" (four-flute and 45° helix-angled, TiAl-coated carbide end mill, 3800 rpm and a feed rate of 0.03 mm/tooth). It was assumed that the highest S/N ratio of each parameter indicated the optimum level of that para- meter.19 The obtained parameters in the optimization of the surface roughness were "A2B3C1" (two-flute 30° helix-angled uncoated carbide end mill, 5800 rpm, 0.03 mm/tooth) as seen in Figure 10. When the optimization process was evaluated, it was observed that although the cutting tools with a large helix angle and many cutting edges came out to be better with respect to the cutting forces, the cutting tools with a small helix angle and few S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... 598 Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 Figure 8: Cutting and feed direction for the 45° fiber orientation Slika 8: Smer rezanja in podajanja pri orientaciji vlaken 45° Table 7: ANOVA results for cutting forces Tabela 7: ANOVA rezultati sil rezanja Cutting parameters Degrees of freedom Sequential sum of squares Average correction Means of squares P Percentage contribution A Cutting tool 5 10.87 10.87 2.174 0.086 22.93% B Spindle speed 2 3.067 3.067 1.5337 0.189 16.17% C Feed rate 2 10.052 10.052 5.0262 0.019 53.06% Error 8 5.945 5.945 0.7431 7.82% Total 17 29.934 100% Table 8: ANOVA results for surface roughness Tabela 8: ANOVA rezultati za hrapavost povr{ine Cutting parameters Degrees of freedom Sequential sum of squares Average correction Means of squares P Percentage contribution A Cutting tool 5 2.2355 2.2355 0.4471 0.477 5.44% B Spindle speed 2 0.5018 0.5018 0.2509 0.593 3.09% C Feed rate 2 13.9017 13.9017 6.9509 0.002 86.01% Error 8 3.5904 3.5904 0.4488 5.45% Total 17 20.2295 100% Figure 9: Signal/noise ratios for cutting forces Slika 9: Razmerja signal/hrup pri silah rezanja Figure 10: Signal/noise ratios for the surface roughness Slika 10: Razmerja signal/hrup pri hrapavosti povr{ine flutes gave better results from the point of the surface roughness and delamination. 3.2 Confirmation tests After obtaining the best estimation results for the Ta- guchi optimization, validation tests were made to verify the optimization. In the Taguchi experimental design, the next step after the selection of the optimum levels of the test parameters is the estimation of the measurement re- sult for the optimum parameter and the determination of the difference by comparing it with the actual measure- ment.32,33 The determined optimum parameters of "A3B1C1" and "A2B3C1" for the cutting force and surface roughness and the results of the verification tests were compared (Tables 9 and 10). There was a good consistency bet- ween the actual and estimated values for both of the two performance characteristics (the cutting force and the surface roughness). As for the optimum cutting para- meters obtained with the Taguchi application, there were improvements of 0.8536 dB and 0.3249 dB for the cutt- ing force and surface roughness according to the S/N ratios in comparison with the original parameters. Table 9: Verification test results for cutting force Tabela 9: Rezultati preskusov preverjanja sile rezanja Starting cutting parameters Optimum cutting parameters Prediction Experiment Level A1B2C3 A3B1C1 A3B1C1 Cutting force (N) 101.5 83.35 92 S/N ratio (dB) –40.1293 –38.7934 –39.2757 Improvement of S/N ratio 0.8536 dB Prediction error (dB) 0.4823 Table 10: Verification test results for surface roughness Tabela 10: Rezultati preskusov preverjanja hrapavosti povr{ine Starting cutting parameters Optimum cutting parameters Prediction Experiment Level A1B2C2 A2B3C1 A2B3C1 Surface roughness (Ra, μm) 1.259 1.034 1.207 S/N ratio (dB) 2.00 –0.5015 –1.6741 Improvement of S/N ratio 0.3249 dB Prediction error (dB) 1.1726 According to the data obtained from the verification tests, a high consistency was observed between the esti- mated and experimental values in the optimization of the cutting force and surface roughness and the effectiveness of the Taguchi optimization was proved with this study. 4 CONCLUSIONS In this study, a CFRP material was milled with seve- ral carbide end mills, and the cutting force and surface roughness for a 45° fiber orientation angle were investi- gated. The Taguchi optimization and ANOVA were applied to the experimental data. The conclusions from these processes can be listed as follows: • For all of the carbide end mills, an increase in both the cutting force and surface roughness was observed depending on the increasing feed rate. • In the tests with an uncoated carbide end mill, a better surface quality and less delamination were ob- tained. • As for the cutting tools, there was an increase in the surface roughness as the number of flutes and the helix angle increased. • At the end of the Taguchi optimization of the cutting force, suitable cutting parameters for the four-flute 45° helix-angled TiAl-coated carbide end mill (A3B1C1) were found to be 3800 min–1 and a feed rate of 0.03 mm/tooth. • At the end of the Taguchi optimization, suitable cutt- ing parameters for the two-flute 30° helix-angled uncoated carbide end mill (A2B3C1) were found to be 5800 min–1 and a feed rate of 0.03 mm/tooth. • The lowest cutting forces were obtained for the cutt- ing tools with the highest number of flutes and the largest helical angles, whereas the best surface- roughness values were obtained with the cutting tools with a low number of flutes and acute helix angles. • At the end of the tests, when ANOVA was applied to the obtained data, the most effective parameter for the cutting force and surface roughness was the feed rate. • The optimum parameters that were obtained as a re- sult of the Taguchi optimization and the estimated cutting-force and surface-roughness values were compared by performing validation tests. This com- parison indicated a high consistency between the values. Acknowledgement This study was accomplished with the support of Gazi University Scientific Research Project no 07/2010-18. Authors thank the Gazi University Scientific Research Unit for their support. 5 REFERENCES 1 D. Kalla, J. Sheik-Ahmad, J. Twomey, Prediction of Cutting Forces in Helical End Milling Fiber Reinforced Polymers, International Journal of Machine Tools & Manufacture, 50 (2010) 10, 882–891, doi:10.1016/j.ijmachtools.2010.06.005 2 M. Ramulu, Characterization of surface quality in machining of com- posites, In: S. Jahanmir, M. Ramulu, P. Koshy (Eds.), Machining of Ceramics and Composites, Marcel Dekker, New York 1999, 575–648 S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600 599 3 E. Erisken, Influence from production parameters on the surface roughness of a machined short fibre reinforced thermoplastic, Inter- national Journal of Machine Tools & Manufacture, 39 (1999) 10, 1611–1618, doi:10.1016/S0890-6955(99)00017-6 4 J. Y. Sheikh-Ahmad, Machining of Polymer Composites, Springer, 2009 5 J. P. Davim, P. Reis, Damage and Dimensional Precision on Milling Carbon Fiber-Reinforced Plastics Using Design Experiments, Jour- nal of Materials Processing Technology, 160 (2005) 2, 160–167, doi:10.1016/j.jmatprotec.2004.06.003 6 P. S. Sreejith, R. Krishnamurthy, S. K. Malhota, K. Narayanasamy, Evaluation of PCD tool performance during machining of carbon/ phenolic ablative composites, Journal of Material Processing Tech- nology, 104 (2000) 1–2, 53–58, doi:10.1016/S0924-0136(00) 00549-5 7 R. Rusinek, Cutting Process of Composite Materials: An Experimen- tal Study, International Journal of Non-Linear Mechanics, 45 (2010) 4, 458–462, doi:10.1016/j.ijnonlinmec.2010.01.004 8 D. Berger, F. Bleicher, C. Dorn, F. Puschitz, Optimised Machining of Fibre Reinforced Material, Daaam International Scientific Book, 3 (2008), 27–34, doi:10.2507/daaam.scibook.2008.03 9 Ö. Erkan, B. Iþýk, Investigation of Cutting Parameter Effects on Sur- face Roughness During Machining of Glass Fiber Reinforced Plastic Composite Material, 5th International Advanced Technologies Sym- posium (IATS 09), Karabük, Turkey 2009, 1414–1419 10 N. Naresh, M. P. Jenarthanan, R. H. Prakash, Multi-objective opti- misation of CNC milling process using Grey-Taguchi method in machining of GFRP composites, Multidiscipline Modeling in Mate- rials and Structures, 10 (2014) 2, 265–275, doi:10.1108/MMMS- 06-2013-0042 11 J. P. Davim, J. C. Rubio, A. M. Abrao, A Novel Approach Based on Digital Image Analysis to Evaluate the Delamination Factor after Drilling Composite Laminates, Composite Science and Technology, 67 (2007) 9, 1939–1945, doi:10.1016/j.compscitech.2006.10.009 12 S. R. Karnik, V. N. Gaitonde, J. C. Rubio, A. E. Correia, A. M. Abrao, J. P. Davim, Delamination Analysis in High Speed Drilling of Carbon Fiber Reinforced Plastics (CFRP) Using Artificial Neural Network Model, Materials and Design, 29 (2008) 9, 1768–1776, doi:10.1016/j.matdes.2008.03.014 13 C. C. Tsao, H. Hocheng, Effect of Tool Wear on Delamination in Drilling Composite Materials, International Journal of Mechanical Sciences, 49 (2007) 8, 983–988, doi:10.1016/j.ijmecsci.2007.01.001 14 S. K. Kim, G. D. Lee, K. Y. Kwak, S. Namgung, Machinability of Carbon Fiber-Epoxy Composite Materials in Turning, Journal of Materials Processing Technology, 32 (1992) 3, 553–570, doi:10.1016/0924-0136(92)90253-O 15 N. S. Hu, L. C. Zhang, Some Observations in Grinding Unidirec- tional Carbon-Fibre-Reinforced Plastics, Journal of Materials Pro- cessing Technology, 152 (2004) 3, 333–338, doi:10.1016/ j.jmatprotec.2004.04.374 16 T. Kaneeda, CFRP cutting mechanism, Transactions of the North American Manufacturing Research Institute of SME 19, 1991, 216–221 17 H. Takeyama, N. Iijima, Machinability of glass-fiber-reinforced plas- tics and application of ultrasonic machining, CIRP Annals – Manu- facturing Technology, 37 (1988) 1, 93–96, doi:10.1016/S0007- 8506(07)61593-5 18 M. Stephen, Grinding Technology, Society of Manufacturing Engi- neers, Industrial Press, New York 1989 19 N. S. Mohan, S. M. Kulkarni, A. Ramachandra, Delamination analy- sis in drilling process of glass fiber reinforced plastic (GFRP) composite materials, Journal of Materials Processing Technology, 186 (2007) 1–3, 265–271, doi:10.1016/j.jmatprotec.2006.12.043 20 G. Taguchi, S. Chowdhury, Y. Wu, Taguchi’s Quality Engineering Handbook, Wiley-Interscience, New Jersey, USA 2004 21 R. A. Kishore, R. Tiwari, A. Dvivedi, I. Singh, Taguchi analysis of the residual tensile strength after drilling in glass fiber reinforced epoxy composites, Materials and Design, 30 (2009) 6, 2186–2190, doi:10.1016/j.matdes.2008.08.035 22 K. Palanikumara, J. P. Davim, Assessment of some factors influenc- ing tool wear on the machining of glass fibre-reinforced plastics by coated cemented carbide tools, Journal of Materials Processing Technology, 209 (2009) 1, 511–519, doi:10.1016/j.jmatprotec.2008. 02.020 23 H. Hocheng, H. Y. Puw, Y. Huang, Preliminary study on milling of unidirectional carbon fibre-reinforced plastics, Composites Manufac- turing, 4 (1993) 2, 103–108, doi:10.1016/0956-7143(93)90077-L 24 B. Denkena, D. Boehnke, J. H. Dege, Helical milling of CFRP – titanium layer compounds, CIRP Journal of Manufacturing Science and Technology, 1 (2008) 2, 64–69, doi:10.1016/j.cirpj.2008.09.009 25 M. Ucar, Y. Wang, End-milling machinability of a carbon fiber rein- forced laminated composite, Journal of Advanced Materials, 37 (2005) 4, 46–52 26 W. Konig, C. H. Wulf, P. Grab, H. Willerscheid, Machining of fibre reinforced plastics, Annals of CIRP, 34 (1985), 537–547 27 E. P. DeGarmo, J. T. Black, R. A. Kohser, Materials and Processes in Manufacturing, Prentice-Hall Inc., New Jersey 1997 28 J. P. Davim, P. Reis, Multiple regression analysis (MRA) in mo- delling milling of glass fiber reinforced plastics (GFRP), Interna- tional Journal of Manufacturing Technology and Management, 6 (2004) 1–2, 185–197, doi:10.1504/IJMTM.2004.004514 29 M. P. Jenarthanan, R. Jeyapaul, N. Naresh, Modelling and analysis of factors influencing surface roughness and delamination of milling of GFRP laminates using RSM, Multidiscipline Modeling in Materials and Structures, 8 (2012) 4, 489–504, doi:10.1108/15736101211281 588 30 J. R. Ferreira, N. L. Coppini, G. W. A. Miranda, Machining optimi- sation in carbon fibre reinforced composite materials, Journal of Materials Processing Technology, 92–93 (1999), 135–140, doi:10.1016/S0924-0136(99)00221-6 31 K. Ogawa, E. Aoyama, H. Inoue, T. Hirogaki, H. Nobe, Y. Kitahara, T. Katayama, M. Gunjima, Investigation on cutting mechanism in small diameter drilling for GFRP (thrust force and surface roughness at drilled hole wall), Composite Structures, 38 (1997) 1–4, 343–350, doi:10.1016/S0263-8223(97)00069-X 32 V. Krishnaraj, A. Prabukarthi, A. Ramanathan, N. Elanghovan, M. S. Kumar, R. Zitoune, J. P. Davim, Optimization of machining parame- ters at high speed drilling of carbon fiber reinforced plastic (CFRP) laminates, Composites: Part B, 43 (2012) 4, 1791–1799, doi:10.1016/j.compositesb.2012.01.007 33 G. D. Babu, K. S. Babu, B. U. M. Gowd, Effect of Machining Para- meters on Milled Natural-Fiber-Reinforced Plastic Composites, Jour- nal of Advanced Mechanical Engineering, 1 (2013), 1–12, doi:10.7726/jame.2013.1001 S. BAYRAKTAR, Y. TURGUT: INVESTIGATION OF THE CUTTING FORCES AND SURFACE ROUGHNESS ... 600 Materiali in tehnologije / Materials and technology 50 (2016) 4, 591–600