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Öğe Artificial Neural Network (ANN) Approach to Hardness Prediction of Aged Aluminium 2024 and 6063 Alloys(Carl Hanser Verlag, 2012) Meyveci, Ahmet; Karacan, Ismail; Durmus, Hulya; Caligulu, UgurIn this study, the effect of aging heat treatment on the hardness of AA 2024 and AA 6063 aluminum alloys was investigated by experimental and an Artificial Neural Network (ANN). AA 2024 and AA 6063 aluminum alloys were solution treated at two different temperatures of 490 degrees C and 520 degrees C. Then both samples were cooled to room temperature. After this process, the samples were aged at three different temperatures (140 degrees C, 180 degrees C, 220 degrees C) for ten different periods of time (2, 4, 6, 8, 10, 12, 14, 16, 18, and 20 h.). The experimental results were trained in an ANNs program, and the results were compared with experimental values. It is observed that the experimental results coincided with the ANNs results.Öğe Investigation of chip-back temperature during machining depending on cutting parameters(Elsevier Sci Ltd, 2007) Korkut, Ihsan; Boy, Mehmet; Karacan, Ismail; Seker, UlviIn this study, measurement of the chip-back temperature developed during cutting was investigated using an embedded thermocouple into the cutting tool. AISI 1117 steel was used as the workpiece material and a K type thermocouple was used for the temperature measurement. The cutting tool used was uncoated and without chip braker and in the form of SCMW 12 M508-S217 according to ISO 1832. This cutting tool was fixed on a tool holder in the form of SSBCR 25 25 M12 and the side cutting edge angle during tests was 75 degrees as suggested in ISO 3685. The cutting tests were carried out on a Johnford TC35 CNC turning center. In selecting the cutting parameters, the reference values indicated in ISO 3685 were used. In order to locate the thermocouple on the cutting tool, a Flir Systems Therma Cam thermal camera was used. The results showed that increasing cutting speed, feed rate and depth of cut resulted in increase in the temperature at the back rake surface. However, cutting speed had the most influence on the temperature. (C) 2006 Elsevier Ltd. All rights reserved.Öğe Pin-on-disc characterization of 2xxx and 6xxx aluminium alloys aged by precipitation age hardening(Elsevier Science Sa, 2010) Meyveci, Ahmet; Karacan, Ismail; Caligulu, Ugur; Durmus, HuelyaIn this study, wear behaviors of aged aluminium AA 2024 and AA 6063 alloys were investigated. AA 2024 and AA 6063 aluminium alloys were solution treated at two different temperatures of 490 and 520 degrees C. Then all samples were cooled to room temperature. After this process, the samples were aged at three different temperatures (140 degrees C, 180 degrees C and 220 degrees C) for five different periods of time (2, 4, 6, 8, 10). The microstructures of the aged samples were examined by optical microscope, SEM-EDS and X-ray analysis. The hardness values of the aged samples were measured by microhardness tests. Wear tests were carried out on the pin-on-disc model wear test apparatus under sliding velocity at 2 m s(-1) speed, 400, 800, 1200 and 1600 m sliding distances for 10, 20 and 30 N variable loads. The mass-loss values of the aged samples were tested by wear tests. As a result of this study, the hardness of the second phase precipitated samples was found to be higher than that of the as-cast samples and it increased with increasing the solution temperature and aging periods. The study also revealed that the wear rate and friction coefficient can be decreased with increasing the solution temperatures and aging periods. Crown Copyright (c) 2009 Published by Elsevier B.V. All rights reserved.