Details
| Original language | English |
|---|---|
| Title of host publication | CIRPe 2015 - Understanding the Life Cycle Implications of Manufacturing |
| Editors | John Erkoyuncu |
| Publisher | Elsevier Science B.V. |
| Pages | 236-241 |
| Number of pages | 6 |
| ISBN (electronic) | 9781510815216 |
| Publication status | Published - 9 Oct 2015 |
| Event | 4th CIRP Global Web Conference, CIRPe 2015 - Cranefield, United Kingdom (UK) Duration: 29 Sept 2015 → 1 Oct 2015 |
Publication series
| Name | Procedia CIRP |
|---|---|
| Volume | 37 |
| ISSN (Print) | 2212-8271 |
Abstract
Focusing on the impact of machining on structural integrity and fatigue life of components the surface and subsurface properties are of major importance. It is well known that machining induced residual stresses have a significant influence on the fatigue life of a component. Due to thermal and mechanical loads during a product's life cycle these stresses relax, which is undesired in most cases. The presented approach utilizes relaxations due to mechanical load to estimate the load history of a component. It is intended to qualify residual stress relaxation as a load sensor and to determine the limits of this approach. Therefore, it is demonstrated, how the residual stress state induced by turning of AISI 1060 determines the critical load causing relaxation. Subsequently, the influence of load stress and the number of load cycles is used to build up a model. The presented approach accesses load information from mass production components. Until now, this information is typically limited to prototypical developments or high price parts equipped with external sensors. One application of life cycle data is condition-based maintenance. This technology allows to extend service intervals and prevent a premature replacement of undamaged components. Thus, cost and resource efficiency are augmented. It is demonstrated that based on the changes of residual stress, possible mechanical loads and number of load cycle combinations can be identified. The changes are used to estimate the experienced loads.
Keywords
- Fatigue, Residual stress, Surface integrity
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
Sustainable Development Goals
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CIRPe 2015 - Understanding the Life Cycle Implications of Manufacturing. ed. / John Erkoyuncu. Elsevier Science B.V., 2015. p. 236-241 (Procedia CIRP; Vol. 37).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Estimation of load history by residual stress relaxation
AU - Breidenstein, B.
AU - Denkena, B.
AU - Mörke, T.
AU - Hockauf, R.
N1 - Funding information: The presented investigations were undertaken with support of the German Research Foundation (DFG) within the Collaborative Research Centre (CRC) 653. We thank the DFG for its financial and organizational support of this project. We also acknowledge that the fatigue experiments and parts of the material characterisation were supported by the Institute of Materials Science of the Leibniz Universität Hannover.
PY - 2015/10/9
Y1 - 2015/10/9
N2 - Focusing on the impact of machining on structural integrity and fatigue life of components the surface and subsurface properties are of major importance. It is well known that machining induced residual stresses have a significant influence on the fatigue life of a component. Due to thermal and mechanical loads during a product's life cycle these stresses relax, which is undesired in most cases. The presented approach utilizes relaxations due to mechanical load to estimate the load history of a component. It is intended to qualify residual stress relaxation as a load sensor and to determine the limits of this approach. Therefore, it is demonstrated, how the residual stress state induced by turning of AISI 1060 determines the critical load causing relaxation. Subsequently, the influence of load stress and the number of load cycles is used to build up a model. The presented approach accesses load information from mass production components. Until now, this information is typically limited to prototypical developments or high price parts equipped with external sensors. One application of life cycle data is condition-based maintenance. This technology allows to extend service intervals and prevent a premature replacement of undamaged components. Thus, cost and resource efficiency are augmented. It is demonstrated that based on the changes of residual stress, possible mechanical loads and number of load cycle combinations can be identified. The changes are used to estimate the experienced loads.
AB - Focusing on the impact of machining on structural integrity and fatigue life of components the surface and subsurface properties are of major importance. It is well known that machining induced residual stresses have a significant influence on the fatigue life of a component. Due to thermal and mechanical loads during a product's life cycle these stresses relax, which is undesired in most cases. The presented approach utilizes relaxations due to mechanical load to estimate the load history of a component. It is intended to qualify residual stress relaxation as a load sensor and to determine the limits of this approach. Therefore, it is demonstrated, how the residual stress state induced by turning of AISI 1060 determines the critical load causing relaxation. Subsequently, the influence of load stress and the number of load cycles is used to build up a model. The presented approach accesses load information from mass production components. Until now, this information is typically limited to prototypical developments or high price parts equipped with external sensors. One application of life cycle data is condition-based maintenance. This technology allows to extend service intervals and prevent a premature replacement of undamaged components. Thus, cost and resource efficiency are augmented. It is demonstrated that based on the changes of residual stress, possible mechanical loads and number of load cycle combinations can be identified. The changes are used to estimate the experienced loads.
KW - Fatigue
KW - Residual stress
KW - Surface integrity
UR - http://www.scopus.com/inward/record.url?scp=84966495055&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2015.09.006
DO - 10.1016/j.procir.2015.09.006
M3 - Conference contribution
AN - SCOPUS:84966495055
T3 - Procedia CIRP
SP - 236
EP - 241
BT - CIRPe 2015 - Understanding the Life Cycle Implications of Manufacturing
A2 - Erkoyuncu, John
PB - Elsevier Science B.V.
T2 - 4th CIRP Global Web Conference, CIRPe 2015
Y2 - 29 September 2015 through 1 October 2015
ER -