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Öğe Effect of vibration and cutting zone temperature on surface topography during hybrid cooling/lubrication assisted machining of Vanadis 10(Walter De Gruyter Gmbh, 2023) Ozbek, Onur; Ozbek, Nursel Altan; Kara, Fuat; Saruhan, HamitNew alloy materials developed to meet the increasing technological needs of people come into our lives with some difficulties in terms of machinability. New cooling and lubrication techniques have been developed to facilitate the workability of such difficult-to-process materials and protect the world ecologically and the quality of the produced product. The workpiece used in this study, Vanadis 10 SuperClean, is a high vanadium alloyed powder metallurgy tool steel offering a unique combination of excellent abrasive wear resistance in combination with a good chipping resistance. The present study investigated the effects of dry, cryo, and CryoMQL cutting conditions on cutting tool vibration amplitude, cutting temperature, surface roughness, tool wear, and tool life in turning of Vanadis 10 tool steel used in the automotive industry. The experiments were performed using TiCN/Al2O3/TiN coated cemented carbide tools and cutting parameters as the constant depth of cut (1 mm), feed rates (0.08, 0.1, 0.12 mm rev(-1)), and cutting speeds (80, 100, 120 m min(-1)). The results obtained from experiments showed that spraying liquid nitrogen into the cutting zone provided significant improvements on cutting temperature, tool wear, cutting tool vibration amplitude, and surface roughness. The best results in terms of all output were achieved in the CryoMQL cutting environment. CryoMQL environment has reduced surface roughness up to 65.03 %, flank wear 56.99 %, cutting temperature 32.77 %, and cutting tool vibration amplitude up to 42.76 % compared to dry machining.Öğe Evaluation of Nano Fluids with Minimum Quantity Lubrication in Turning of Ni-Base Superalloy UDIMET 720(Mdpi, 2023) Ozbek, OnurThis article focuses on turning superalloy Udimet 720, which is difficult to work with, using different coolant/lubricant methods. The study includes delivering Graphene and Multi-Walled Carbon Nanotubes nanopowders homogeneously dispersed in vegetable oil to the cutting area with the minimum quantity lubrication (MQL) method. Experiments at different cutting speeds and feed rates were repeated in four different cutting environments. Compared to dry turning, the cutting zone temperature of the cutting fluid delivered to the cutting zone by MQL methods decreased. In addition, thanks to the nanopowders, it formed an oil film by better penetrating the cutting tool-chip interface and reducing the cutting tool's wear. With the reduced cutting tool wear, the cutting tool could maintain its form for a longer period of time, so better quality surfaces were obtained on the workpiece surface. As a result of the study, it was found that cutting zone temperature improved by 30%, tool wear by 51.8% and surface roughness by 43.9%.Öğe Experimental and Statistical Investigation of Machinability of AISI D2 Steel Using Electroerosion Machining Method in Different Machining Parameters(Hindawi Ltd, 2021) Nas, Engin; Ozbek, Onur; Bayraktar, Furgan; Kara, FuatThis study investigated the effects of machining parameters on the experimental and statistical results using the electric discharge method in the machining of AISI D2 cold work tool steel. The design of the experiment was established using the Taguchi L-18 method. The effect of the experiment parameters on the performance characteristics was analyzed by analysis of variance (ANOVA). As a result of the study, it was determined that increasing amperage and pulse time affected the surface roughness and hole diameter on the surface of the material. The lowest values for surface roughness, machining time, hole diameter, and crater diameter were determined as 2.085 mu m, 47 minutes, 12.010 mm, and 81.007 mu m, respectively. The highest wear amount was obtained as 0.604 grams with the processed parameters in the ninth experiment. When the signal-to-noise ratios were examined, the optimum combinations of the control factors for surface roughness, hole diameter, crater diameter, wear amount, wear rate, and processing time were determined as A(1)B(1)C(3), A(1)B(1)C(3), A(1)B(1)C(3), A(1)B(3)C(1), A(2)B(1)C(1), and A(1)B(3)C(3), respectively. According to the ANOVA results, the most important parameters affecting the test results for surface roughness, hole diameter, crater diameter, wear amount, material wear loss, and processing time were determined as amperage (49.34%), time-on (59.38%), amperage (55.65%), time-on (56.92%), amperage (51.42%), and amperage (78.02%), respectively. When the gray relational degree was calculated for the maximum and minimum values, the ideal factors for all output results were found to be the parameters applied in the third experiment.Öğe Optimization of flank wear and surface roughness during turning of AISI 304 stainless steel using the Taguchi method(Carl Hanser Verlag, 2020) Ozbek, Nursel Altan; Karadag, Metin Ibrahim; Ozbek, OnurThis paper presents the effect of cutting tool, cutting speed and feed rate on the flank wear and surface roughness of austenitic stainless steel (AISI 304) during wet turning. Turning tests were designed based on the Taguchi method (L18). An orthogonal array, the signal-to-noise ratio (S/N) and the ANOVA were used to investigate the machinability of AISI 304 stainless steel with PVD and CVD coated tungsten carbide inserts. As a result of ANOVA, it was found that the feed rate was the most effective parameter on both flank wear and surface roughness.Öğe Statistical Analysis of the Effect of the Cutting Tool Coating Type on Sustainable Machining Parameters(Springer, 2021) Ozbek, Nursel Altan; Ozbek, Onur; Kara, FuatGood surface roughness and topography are of great importance in plastic mold materials. This study investigated the effects of cutting parameters on cutting temperature, vibration (g), surface roughness (Ra), and noise (N) in the turning of AISI P20 die steel using coated tungsten carbide cutting tools. Experiments were carried out using the Taguchi L-18 experimental design with cutting tools with two different types of coatings (CVD and PVD), three different cutting speeds (100, 150, and 200 m/min), three different feed rates (0.1, 0.15, and 0.2 mm/rev), and a constant cutting depth (1 mm). As a result of the study, the PVD-coated tools exhibited a higher performance for all outputs (cutting temperature, g, Ra, and N). It was observed that the vibration and surface roughness were proportional, vibration was mostly affected by feed rate, and increasing cutting speed and feed rate also increased the temperature and noise in the cutting zone. According to ANOVA results, the most effective parameter on surface roughness was feed rate (97.24%), the most effective parameter on vibration was cutting tool type (57.34%), and finally, the most effective parameter on noise was feed rate (50.37%).