A novel predictive model for multiaxial fatigue in carburized bevel gears

This publication focuses on the numerical stress prediction in case‐carburized bevel gears and on their fatigue assessment. Four gear sets are analyzed for the common fatigue failure modes of pitting, tooth root breakage, and subsurface fatigue. The proposed algorithm, enabling the prediction of the...

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Veröffentlicht in:Fatigue & fracture of engineering materials & structures 2021-08, Vol.44 (8), p.2033-2053
Hauptverfasser: Böhme, Stephan André, Vinogradov, Alexei, Papuga, Jan, Berto, Filippo
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container_issue 8
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container_title Fatigue & fracture of engineering materials & structures
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creator Böhme, Stephan André
Vinogradov, Alexei
Papuga, Jan
Berto, Filippo
description This publication focuses on the numerical stress prediction in case‐carburized bevel gears and on their fatigue assessment. Four gear sets are analyzed for the common fatigue failure modes of pitting, tooth root breakage, and subsurface fatigue. The proposed algorithm, enabling the prediction of the dominant failure type and region, relies on the previously published material model for carburized CrNiMo steels. It utilizes a 2D plane strain simplification as only the mean cross‐section is analyzed and evaluates the shear mean and amplitude stresses through the maximum rectangular hull method. A novel multiaxial fatigue criterion is presented and validated.
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source Wiley Online Library Journals Frontfile Complete
subjects Algorithms
Bevel gears
Carburizing
Dang Van criterion
Failure analysis
Failure modes
Fatigue failure
fatigue in case hardened steel
Hull method
multiaxial fatigue criterion, numerical modeling
Numerical prediction
Plane strain
Prediction models
rolling contact fatigue
Two dimensional models
title A novel predictive model for multiaxial fatigue in carburized bevel gears
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