Browsing by Author "Durmuş H.K."

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    The use of neural networks for the prediction of wear loss and surface roughness of AA 6351 aluminium alloy
    (Elsevier Ltd, 2006) Durmuş H.K.; Özkaya E.; Meriç C.
    Artificial neural networks (ANNs) are a new type of information processing system based on modeling the neural system of human brain. Effects of ageing conditions at various temperatures, load, sliding speed, abrasive grit diameter in 6351 aluminum alloy have been investigated by using artificial neural networks. 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 ANNs results. © 2004 Elsevier Ltd. All rights reserved.
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    Age-hardening behavior of powder metallurgy AA2014 alloy
    (Elsevier Ltd, 2007) Durmuş H.K.; Meriç C.
    The aim of this paper is to investigate age hardening behavior of PM AA2014 alloy. The specimens were made by powder metallurgy (PM) method. During the PM the product was made from powder basic materials by pressing (at 600 MPa) and sintering (600 ± 5 °C, 610 ± 5 °C, 620 ± 5 °C). There were three steps that occur in age-hardening; solution treatment (510 ± 5 °C), quenching (water) and aging (20 °C, 150 ± 5 °C, 200 ± 5 °C). Metal microscopy and micro Vickers hardness test were carried out to characterize the structure properties resulting from different aging temperature. The hardness test results showed that the sintering temperature, suitable solution treatment and aging operations has great influence on hardness characteristics of the PM alloys. © 2005 Elsevier Ltd. All rights reserved.