Details
| Original language | English |
|---|---|
| Pages (from-to) | 656-666 |
| Number of pages | 11 |
| Journal | International Journal of Computational Methods and Experimental Measurements |
| Volume | 6 |
| Issue number | 4 |
| Publication status | Published - 2018 |
Abstract
In drive systems and component technology a high reliability is very important for machines. Machine element dimensions are calculated for reliability. The properties for these elements are based on conventional manufacturing techniques. Very high stresses are applied on bearings in their operating time. To improve the endurance life, residual stresses can be induced into the subsurface zone. In contrast to a conventional grinding process, the mechanical surface modification process deep rolling is able to induce very high compressive residual stresses. A computational approach was developed to establish an appropriate residual stress depth profile matching the applied loads. Thus, the costs of manufacturing can be chosen in accordance to the required properties. The method to determine the residual stresses is based on an iterative reverse calculation of an existing bearing fatigue life model of Ioannides et al. The model originates from the approach of Lundberg and Palmgren (1947) including a stress fatigue limit τ u . For the term τ i , the fatigue criterion of Dang-Van is applied. The equation accounts for the maximum orthogonal shear stress and the local hydrostatic pressure p hyd , corrected for residual and hoop stress. The inputs into the computational model are the stresses on the surface, which are simulated based on the load and geometry of the contact between roller and bearing surface. As an output the required residual stress profile underneath the bearings raceway is given to achieve a bearing fatigue life as required for the given application. In order to verify the model, the bearing fatigue life was experimentally determined for a given residual stress profile by experiments.
Keywords
- Bearing fatigue life, Inverse computational model, Residual stresses
ASJC Scopus subject areas
- Mathematics(all)
- Computational Mathematics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Mathematics(all)
- Modelling and Simulation
- Engineering(all)
- Computational Mechanics
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In: International Journal of Computational Methods and Experimental Measurements, Vol. 6, No. 4, 2018, p. 656-666.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Computational approach to improve bearings by residual stresses based on their required bearing fatigue life
AU - Pape, F.
AU - Maiss, O.
AU - Denkena, B.
AU - Poll, G.
N1 - Funding information: ACKNOWLEDGMENT The authors thank the DFG (German Research Foundation) for supporting this project in the context of the research program ‘Resource efficient Machine Elements (SPP1551)’.
PY - 2018
Y1 - 2018
N2 - In drive systems and component technology a high reliability is very important for machines. Machine element dimensions are calculated for reliability. The properties for these elements are based on conventional manufacturing techniques. Very high stresses are applied on bearings in their operating time. To improve the endurance life, residual stresses can be induced into the subsurface zone. In contrast to a conventional grinding process, the mechanical surface modification process deep rolling is able to induce very high compressive residual stresses. A computational approach was developed to establish an appropriate residual stress depth profile matching the applied loads. Thus, the costs of manufacturing can be chosen in accordance to the required properties. The method to determine the residual stresses is based on an iterative reverse calculation of an existing bearing fatigue life model of Ioannides et al. The model originates from the approach of Lundberg and Palmgren (1947) including a stress fatigue limit τ u . For the term τ i , the fatigue criterion of Dang-Van is applied. The equation accounts for the maximum orthogonal shear stress and the local hydrostatic pressure p hyd , corrected for residual and hoop stress. The inputs into the computational model are the stresses on the surface, which are simulated based on the load and geometry of the contact between roller and bearing surface. As an output the required residual stress profile underneath the bearings raceway is given to achieve a bearing fatigue life as required for the given application. In order to verify the model, the bearing fatigue life was experimentally determined for a given residual stress profile by experiments.
AB - In drive systems and component technology a high reliability is very important for machines. Machine element dimensions are calculated for reliability. The properties for these elements are based on conventional manufacturing techniques. Very high stresses are applied on bearings in their operating time. To improve the endurance life, residual stresses can be induced into the subsurface zone. In contrast to a conventional grinding process, the mechanical surface modification process deep rolling is able to induce very high compressive residual stresses. A computational approach was developed to establish an appropriate residual stress depth profile matching the applied loads. Thus, the costs of manufacturing can be chosen in accordance to the required properties. The method to determine the residual stresses is based on an iterative reverse calculation of an existing bearing fatigue life model of Ioannides et al. The model originates from the approach of Lundberg and Palmgren (1947) including a stress fatigue limit τ u . For the term τ i , the fatigue criterion of Dang-Van is applied. The equation accounts for the maximum orthogonal shear stress and the local hydrostatic pressure p hyd , corrected for residual and hoop stress. The inputs into the computational model are the stresses on the surface, which are simulated based on the load and geometry of the contact between roller and bearing surface. As an output the required residual stress profile underneath the bearings raceway is given to achieve a bearing fatigue life as required for the given application. In order to verify the model, the bearing fatigue life was experimentally determined for a given residual stress profile by experiments.
KW - Bearing fatigue life
KW - Inverse computational model
KW - Residual stresses
UR - http://www.scopus.com/inward/record.url?scp=85064203148&partnerID=8YFLogxK
U2 - 10.2495/CMEM-V6-N4-656-666
DO - 10.2495/CMEM-V6-N4-656-666
M3 - Article
AN - SCOPUS:85064203148
VL - 6
SP - 656
EP - 666
JO - International Journal of Computational Methods and Experimental Measurements
JF - International Journal of Computational Methods and Experimental Measurements
SN - 2046-0546
IS - 4
ER -