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Öğe ANN prediction of impact toughness of ship steel/ stainless steel plates produced by explosive welding(University of Kuwait, 2020) Kaya, Y.; Kalyon, A.; Kahraman, N.In this study, ship steel/stainless steel plates were produced by joining ship steel with stainless steel using explosive welding process. The characterization of the joining interface of the plates was carried out by optical microscopic examination. Charpy impact tests were conducted at different temperatures to determine the impact toughness of the ship steel/stainless steel plates and the effect of the rolling on the impact toughness. In addition, after the Charpy impact test, the fractured surfaces of the specimens were investigated via scanning electron microscopy (SEM). Using the data obtained as a result of the impact toughness tests, an artificial neural network (ANN) model was improved for the prediction of the impact toughness. Five different material types, two different rolling directions, and eight different temperatures were used as the input parameters of the Charpy impact tests. The impact toughness values obtained at the end of the tests were used as the output parameters of the generated prediction model. The high R2 value obtained in the developed prediction model demonstrated that it could be successfully used for predicting impact toughness. © 2020 University of Kuwait. All rights reserved.Öğe Experimental Investigation of the Machinability of Caldie Cold Work Tool Steel(Polish Acad Sciences Inst Physics, 2019) Kalyon, A.; Ozcan, M. T.In this study, the effects of the types of cutting insert, cutting speed, and feed rate on the machinability of hardened Caldie cold work tool steel have been examined. Workpieces were applied to heat treatment having its hardness increased to 60 HRC and then it was employed for hard turning. Experimental studies were employed by using two different types of cutting inserts (ceramic, CBN). Depth of cut was kept constant at 0.1 mm. Three levels were determined both for the cutting speeds (90, 120, 150 m/min), and for the feed rates (0.05, 0.1, 0.15 mm/rev). Having 20 cm(3) of chip volume machined from the hardened workpiece, wear at the cutting inserts were examined and average surface roughness of the workpieces were measured. Experimental design was performed by using Taguchi L-18 orthogonal arrays experiment set. Control factors for the ideal cutting conditions were determined by using of Taguchi technique. Effect of the control factors on the machining parameters was calculated using variance analysis (ANOVA). As a result of the study, feed rate was found to be the most effective machining parameter on the cutting force and on the average surface roughness. Furthermore, it was observed that wear occurred more in the cutting insert under the experimental conditions where the cutting speed and feed rate were used at high levels. Better average surface roughness and lesser tool wear were observed from the experimental studies in which CBN cutting tool was used, than from those in which ceramic cutting tool was used.Öğe Investigation of the Effect of Different Heat Treatments on Wear Behavior of AA7075 Alloy(Polish Acad Sciences Inst Physics, 2017) Kalyon, A.; Ozyurek, D.In this study, wear behavior of AA7075 alloy applied different ageing heat treatments is examined. During each ageing heat treatment, the relevant samples are processed with solid solution at 485 degrees C for 2 h. After the quenching process, ageing processes were performed. The T6 heat treatment is applied at 120 degrees C for 24 h. Along the re-ageing heat treatment process, samples undergone the T6 process is taken into the solid solution at 120 degrees C once more and aged at the given temperature for 24 h. In the high temperature heat treatment process, the samples are pre-precipitated at 445 degrees C for 30 min and then taken to ageing process at 120 degrees C for 24 h. Wear tests are carried out at 1 m/s constant sliding speed and under 20 N load along four different sliding distances (300-1200 m). The amount of precipitation observed from the structure exhibits difference at the second phase with respect to applied ageing heat treatment. Finest precipitation particle is observed with T6 heat treatment and the coarse precipitation is with the high temperature heat treatment. Furthermore, a relationship is determined between dimension of the second phase precipitation and hardness values.Öğe Optimization of the Machinability of Aluminum 6082 Alloy by Brass Electrode(TUBITAK, 2019) Kalyon, A.In this study, the machinability of Aluminium 6082 alloy with brass electrode was investigated in the electro discharge machine. In the experimental study, Taguchi L9 orthogonal array experimental set was used. As the processing parameter, discharge current, pulse duration and waiting period were used. As a result of the machinability tests, the average surface roughness, material removal rate and electrode wear rate were investigated. Taguhci technique was used to determine the optimum cutting parameters. The effect of control factors on experimental results was calculated by using variance analysis. As a result of the experimental study, the most effective parameter on average surface roughness, material removal rate and electrode wear rate was determined as discharge current. It was found that the increase in discharge current negatively affects the average surface roughness and causes the electrode to worn more. Factors affecting the average surface roughness were calculated as discharge current 78.73%, pulse duration 15.78% and waiting period 1.8%. It was determined that the pulse duration and waiting period were not significant on the average surface roughness. © 2019, TUBITAK. All rights reserved.
