MDBF Seminerleri – Dr. Zahra Barzegar

Mu00fchendislik ve Dou011fa Bilimleri Faku00fcltemizin du00fczenlediu011fi seminer serisi kapsamu0131nda 14 Ekim Cuma saat 14.00u2019te Sabancu0131 u00dcniversitesi’nden Dr. Zahra Barzegar, u201cTemperature Modeling for Turning Process Including the Effects of All Deformation Zonesu201d bau015flu0131klu0131 bir sunum yapacak.

Fener Salonuu2019nda geru00e7ekleu015fecek etkinlik ilgilenen herkesin katu0131lu0131mu0131na au00e7u0131ktu0131r. 

u00d6zet: Heat generation during metal cutting processes results in temperature rise in cutting tool and workpiece. The tool wear which can affect the tool life and surface quality of the workpiece is significantly depended on the cutting temperature. Modeling the heat generation during the cutting processes can be helpful for predicting the tool wear. This study introduces a novel model for the prediction of temperature in the cutting tool while the effect of cutting-edge radius is included in the model for the first time in the literature in terms of temperature prediction using thermo-mechanical approach with sticking-sliding friction model. The temperature distributions at the tool-chip and tool-workpiece boundaries were determined analytically, and the temperature distribution inside the tool was calculated using the Finite Difference Method. The study also examined the effects of cutting-edge geometry and cutting conditions on cutting temperature, which can be used in optimized selection of cutting parameters and tool geometry.

Konuu015fmacu0131 Hakku0131nda: Zahra Barzegar is a post-doctoral researcher in Manufacturing Research Laboratory at Sabanci University. She received a Ph.D. degree in Manufacturing Engineering at Sabanci University, Master of Science at KNTU (Iran) and Bachelor degree at Tabriz University (Iran). Her doctoral studies focused on Analytical Modeling of Temperature in Cutting Processes. Her research interests include Machining and Micro-Machining Process Modeling, Thermal Modeling using Analytical and Numerical Methods, and Tool Wear Modeling in Cutting Processes.