I saac Hong

The Ohio State University, Columbus, USA

Dr. Isaac Hong is a Research Assistant Professor in the Department of Mechanical and Aerospace Engineering at The Ohio State University. He received his Ph.D. degree in Mechanical Engineering from Ohio State in 2019. Dr. Hong also serves as a faculty advisor within the Gear and Power Transmission Research Laboratory (GearLab) at OSU. His research focuses on novel methods to monitor and characterize structural integrity of power transmission machine elements. This includes developing theoretical models and experimental methods to define fatigue, dynamic response, and tribological characteristics of gears and bearings.


Geared powertrains are one of the most common forms of mechanical power transmission found in aerospace, automotive and industrial sectors.  Gear failure is costly in downtime, direct financial cost, and even safety/human life perspective. Fatigue failures are among the most frequent causes of gear failure and include both contact fatigue related failures and bending stress related fatigue failures.  Bending failures are catastrophic as they can result in almost instantaneous loss of torque transmission capability.  Modeling and prediction of this failure is therefore necessary from both a crack propagation view and a cumulative damage perspective, as crack propagation can be a direct measure of fatigue damage.  Current crack propagation model validation relies on post-mortem analysis of the crack path to match against model results.  In this study and optical image-based technique using high speed imaging technology is developed to measure cycle to cycle crack propagation rates during a gear single tooth bending test.  An image processing algorithm is developed to automatically measure the crack length at each relevant frame.  The methodology is then used to measure cyclic crack propagation rates under various load levels and fatigue lives.


Room 7Wednesday 29th November15:00-15:30Isaac Hong
S05-1 Contact fatigue & Fatigue in transmission system
57 - In-Situ Image based Crack Measurement Methodology for Gear Single Tooth Bending Fatigue Testing
Welcome to Booth.

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