Dr. Oğuz Doğan
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Academic Career Length
13Years (2014-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 March 2019 in Mechanism and Machine Theory
Journal Article
Oğuz Doğan
Fatih Karpat1 April 2021 in Engineering Failure Analysis
Journal Article
13 August 2017 in Advances in Mechanical Engineering
Journal Article
Fatih KarpatOğuz DoğanCYCelalettin Yuce
Celalettin YuceSEStephen Ekwaro-Osire
Stephen Ekwaro-OsireGears are one of the most crucial parts of power transmission systems in various industrial applications. Recently, there emerged a need to design gear drivers due to the rising performance requirements of various power transmission applications, such as higher load-carrying capacity, higher strength, longer working life, lower cost, and higher velocity. Due to their excellent properties, gears with asymmetric teeth have been designed to obtain better performance in applications. As the rotation speed of the gear transmission increases, the dynamic behavior of the gears has become a subject of growing interest. The most important contributing factor of dynamic behavior is the stiffness of the teeth, which changes constantly throughout the operation. The calculation of gear stiffness is important for determining the load distribution between the gear teeth when two sets of teeth are in contact. The primary objective of this article is to develop a new approach to calculate gear mesh stiffness for asymmetric gears. With this aim in mind, single tooth stiffness was calculated in the first stage of the study using a finite element method. This study presents crucial results to gear researchers for understanding spur gears with involute asymmetric teeth, and the results will provide researchers with input data for dynamic analysis.
14 October 2020 in Sādhanā
Journal Article
Oğuz DoğanFatih KarpatOKOsman Kopmaz
Osman KopmazSEStephen Ekwaro-Osire
Stephen Ekwaro-Osire16 February 2022 in ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering
Journal Article
CYCelalettin Yuce
Celalettin YuceOGozhan gecgel
ozhan gecgelOğuz Doğan
Shweta DabetwarYYYasar Yanik
Yasar YanikSEStephen Ekwaro-Osire
Stephen Ekwaro-Osire +3
The improvements in wind energy infrastructure have been a constant process throughout many decades. There are new advancements in technology that can further contribute toward the prognostics and health management (PHM) in this industry. These advancements are driven by the need to fully explore the impact of uncertainty, quality and quantity of data, physics-based machine learning (PBML), and digital twin (DT). All these aspects need to be taken into consideration to perform an effective PHM of wind energy infrastructure. To address these aspects, four research questions were formulated. What is the role of uncertainty in machine learning (ML) in diagnostics and prognostics? What is the role of data augmentation and quality of data for ML? What is the role of PBML? What is the role of the DT in diagnostics and prognostics? The methodology used was Preferred Reporting Items for Systematic Review and Meta-Analysis. A total of 143 records, from the last five years, were analyzed. Each of the four questions was answered by discussion of literature, definitions, critical aspects, benefits and challenges, the role of aspect in PHM of wind energy infrastructure systems, and conclusion.
30 June 2016 in Journal of Mechanical Science and Technology
Journal Article
Oğuz DoğanFatih KarpatCYCelalettin Yuce
Celalettin YuceNKNecmettin Kaya
Necmettin KayaNYNurettin Yavuz
Nurettin Yavuz
HSHasan Sen
Hasan Sen
About Me
Dr. Oğuz Doğan is an Associate Professor in the Department of Mechanical Engineering at Kahramanmaraş Sütçü İmam University, Türkiye. He received his B.Sc. degree in Mechanical Engineering from Uludağ University in 2012, his M.Sc. degree in 2015, and his Ph.D. degree in Mechanical Engineering in 2020, specializing in machine design and mechanical systems.
Dr. Doğan has served as a Research Assistant, Researcher Doctor, and currently as Associate Professor at Kahramanmaraş Sütçü İmam University. His research focuses on machine elements, gear dynamics, structural optimization, additive manufacturing, polymer and composite materials, fault diagnosis, and lightweight design. He has authored numerous SCI/SCI-E indexed journal articles in leading journals such as Mechanism and Machine Theory, Measurement, Engineering Failure Analysis, Materials Testing, Polymers, and Applied Sciences. His notable contributions include studies on gear dynamics, crack detection in gear systems, additive manufacturing, and polymer-based engineering materials.
Dr. Doğan has participated in and led several industry-supported and nationally funded research projects in collaboration with organizations such as TUSAŞ, TÜBİTAK, and industrial partners. He currently serves as Head of the Construction and Manufacturing Division and Vice Chair of the Mechanical Engineering Department at Kahramanmaraş Sütçü İmam University.