معرفی
Önder AYER is an Associate Professor at Trakya University's Faculty of Engineering, Department of Mechanical Engineering, specializing in Machine Theory and Dynamics. He currently serves as Deputy Head of Department (since February 28, 2025), Faculty Board Member (since March 2024 and June 2024), and Erasmus Coordinator (since November 2012).
His educational background includes a Bachelor's (2003), Master's (2006), and PhD (2012), all in Mechanical Engineering from Trakya University. His academic progression shows steady advancement from Research Assistant (2004) to Associate Professor (2021).
Dr. AYER's research focuses on mechanical engineering with emphasis on extrusion processes, magnesium alloys, gear forming, and finite element analysis. His work bridges theoretical modeling with practical manufacturing applications, particularly examining material behavior during forming processes. He has extensively studied AZ31 magnesium alloys, investigating their machinability, microstructure, and forming characteristics under various extrusion parameters.
His publication record shows consistent output with a focus on manufacturing processes, particularly extrusion technologies. The research demonstrates progression from fundamental material studies to advanced applications involving artificial neural networks for process prediction. Recent publications (2020-2022) continue to explore material behavior under manufacturing conditions, with applications in aluminum and magnesium processing.
Dr. AYER teaches courses including Aluminum Alloys Forming, Aluminum Extrusion Technology, Non-Traditional Production Methods, and Mechanism Technique. His teaching directly complements his research interests, creating a cohesive academic profile focused on advanced manufacturing technologies.
He has served as Erasmus Coordinator since 2012, indicating strong international engagement. His administrative roles, including Deputy Head of Department since 2025, demonstrate leadership within the department. His research project on applying artificial neural networks and finite element methods to extrusion process optimization (2016) represents a significant contribution to the field.
