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Abstract
Rolling contact fatigue in radial roller bearings is studied by means of a 2D
plane strain nite element program. The Dang Van multiaxial fatigue criterion
is firstly used, in a macroscopic study modeling the bearing raceway,
to investigate the region where fatigue cracks are more likely to nucleate. A
Hertzian and an elastohydrodynamic lubricated pressure distribution are applied
on the bearing raceway to model the contact between the roller and the
ring, and the results are compared in light of the Dang Van criterion. The
beneficial effects of a hardening treatment of the ring surface and of compressive
residual stresses are also analyzed. The stress history of a material
point at the depth where the maximum Dang Van damage factor is reached
is then recorded and used in a subsequent micro-mechanical analysis. The
stress history is applied as periodic boundary conditions in a representative
volume element where a single inclusion is embedded in a bearing steel matrix.
The effects of different inclusion volume fractions, material particles
and inclusion orientations are examined. The fatigue crack growth of a preexisting
crack nucleated in the matrix is finally investigated for an alumina
inclusion by means of cohesive elements and damage mechanics. Results for
different load conditions and different crack orientations are compared.
Original language | English |
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Publisher | DTU Mechanical Engineering |
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Number of pages | 136 |
Publication status | Published - 2014 |
Series | DCAMM Special Report |
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Number | S169 |
ISSN | 0903-1685 |
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Dive into the research topics of 'Computational stress and damage modelling for rolling contact fatigue'. Together they form a unique fingerprint.Projects
- 1 Finished
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Computational modelling of rolling contact fatique in wind turbines
Cerullo, M. (PhD Student), Niordson, C. F. (Main Supervisor), Legarth, B. N. (Examiner), Jensen, H. M. (Examiner), Meling, H. (Examiner), Klit, P. (Supervisor) & Tvergaard, V. (Supervisor)
Technical University of Denmark
01/09/2011 → 26/01/2015
Project: PhD