Srđan Podrug (Author), Srečko Glodež (Author), Damir Jelaska (Author)

Abstract

A computational model for determination of crack growth in a gear tooth root is presented. Two loading conditions are taken into account: (i) normal pulsating force acting at the highest point of the single tooth contact and (ii) the moving load along the tooth flank. In numerical analysis it is assumed that the crack is initiated at the point of the largest stresses in a gear tooth root. The simple Paris equation is then used for a further simulation of the fatigue crack growth. The functional relationship between the stress intensity factor and crack length K=f(a), which is needed for determining the required number of loading cycles N for a crack propagation from the initial to the critical length, is obtained using a displacement correlation method in the framework of the FEM-method considering the effect of crack closure. The model is used for determining fatigue crack growth in a real gear made from case carburised and ground steel 14CiNiMo13-4, where the required material parameters were determined previously by appropriate test specimens. The results of the numerical analysis show that the prediction of crack propagation live and crack path in a gear tooth root are significantly different for both loading conditions considered.

Keywords

gears;fatigue;crack growth;numerical modelling;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FNM - Faculty of Natural Sciences and Mathematics
Publisher: = Association of Mechanical Engineers and Technicians of Slovenia et al.
UDC: 621.833:539.4
COBISS: 18575368 Link will open in a new window
ISSN: 0039-2480
Parent publication: Strojniški vestnik
Views: 389
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Other data

Secondary language: Slovenian
Secondary keywords: zobniki;utrujanje;širjenje razpoke;numerično modeliranje;
URN: URN:NBN:SI:doc-OP2WLSV8
Type (COBISS): Not categorized
Pages: str. 579-586
Volume: Vol. 57
Issue: no. 7/8
Chronology: jul.-avg. 2011
DOI: 10.5545/sv-jme.2009.127
ID: 1727942