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Gear Tooth Bending Fatigue Life Prediction Using Integrated Computational Material Engineering

[+] Author Affiliations
Michael E. Oja, Robert L. McDaniels, Robert G. Tryon, Animesh Dey, Sanjeev M. Kulkarni

VEXTEC Corporation, Brentwood, TN

Carlos H. Wink

Eaton, Galesburg, MI

Nikhil Deo

Eaton, Pune, India

Paper No. DETC2017-67911, pp. V010T11A007; 7 pages
  • ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 10: 2017 ASME International Power Transmission and Gearing Conference
  • Cleveland, Ohio, USA, August 6–9, 2017
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5824-0
  • Copyright © 2017 by ASME


The paper presents a computational method to predict the cyclic life of gears subjected to single tooth bending fatigue, using VEXTEC’s VPS-MICRO® software. The project was a collaborative effort between Eaton - Vehicle Group and VEXTEC Corporation to replicate physical testing virtually, more specifically to virtually determine bending fatigue curves of gears made from different steels.

VPS-MICRO is based on VEXTEC’s patented Virtual Life Management® (VLM®) technology which includes computational microstructural damage models to simulate the fatigue performance and calculate the lifetime of various product configurations. The framework probabilistically estimates the fatigue behavior of a range of Eaton gears and other products.

Copyright © 2017 by ASME



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