A numerical model for total bending fatigue life estimation of carburized spur gears considering the hardness gradient and residual stress
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11012-024-01841-y.pdf
Reference38 articles.
1. Čular I, Vučković K, Glodež S, Tonković Z (2022) Computational model for bending fatigue prediction of surface hardened spur gears based on the multilayer method. Int J Fatigue. https://doi.org/10.1016/j.ijfatigue.2022.106892
2. ISO 6336 (2022) Calculation and load capacity of spur and helical gears. ISO
3. ANSI/AGMA 2101-D04 (2004) Fundamental rating factors and calculation methods for involute spur and helical gear teeth
4. Hong IJ, Kahraman A, Anderson N (2020) A rotating gear test methodology for evaluation of high-cycle tooth bending fatigue lives under fully reversed and fully released loading conditions. Int J Fatigue 133:105432. https://doi.org/10.1016/j.ijfatigue.2019.105432
5. Wagner ME, Mark WD, Isaacson AC (2021) Implementation of the Average-Log-Ratio ALR gear-damage detection algorithm on gear-fatigue-test recordings. Mech Syst Signal Process 154:107590. https://doi.org/10.1016/j.ymssp.2020.107590
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