Browsing by Author "Karadogan,C."
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Conference Object Citation Count: 0On the importance of thermo-mechanical modelling of the double cup extrusion test(Trans Tech Publications Ltd, 2014) Karadoğan, Celalettin; Özdemir, İzzet; Ozdemir,I.; Manufacturing EngineeringFinding the correct friction coefficient for the simulation of bulk metal forming processes is crucial. The practical approach nowadays for this objective is to conduct a friction sensitive process-test and the corresponding numerical simulation in order to reveal the friction coefficient. The Double Cup Extrusion Test (DCET) is one of the widely used friction tests for bulk metal forming. Although, there is a large body of literature on DCETs, there are still important aspects which have not been addressed yet. Motivated by this fact, this study emphasizes and demonstrates the importance of thermo-mechanical modelling to evaluate the DCET for the characterization of friction coefficients even for cold forging processes. To this end, thermo-mechanical material characterization covering necessary temperature and strain rate spectrum is conducted and used in the thermo-mechanically coupled finite element analysis (FEA) of the DCET. These findings are compared with the results of single flow curve based purely mechanical FEA in terms of cup height ratios as well as force-displacement curves for two different press speeds. © (2014) Trans Tech Publications, Switzerland.Conference Object Citation Count: 8Simulation of incremental sheet forming using partial sheet models(Elsevier Ltd, 2017) Music, Ömer; Karadoğan, Celalettin; Karadogan,C.; Manufacturing EngineeringAcademic and industrial interest in flexible forming has grown rapidly over the last two decades, leading to a large volume of research in this area. However, despite this interest, numerical modelling of the process is still challenging and the mechanics of the process is not yet fully understood. This paper presents fast numerical models for Incremental Sheet Forming. The models are shown to reduce computational time by up to 24 times, with a maximum shape error of 8%. The results suggest that the approach could be used to model process within acceptable time, and could be potentially used to explore the process in more detail using solid (brick) elements.