Fatigue Damage for Sweep-Sine and Random Accelerated Vibration Testing
The vibration testing of components in the automotive industry requires long testing times and the use of expensive facilities. To shorten these testing times an accelerated vibration-testing approach is usually applied. This research tries to shorten these testing times by considering the parameter...
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1155/2014/340545 |
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doaj-b4c869e0f1cb4d85b8b8b7803f8f91e42020-11-25T03:43:31ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322015-01-01710.1155/2014/34054510.1155_2014/340545Fatigue Damage for Sweep-Sine and Random Accelerated Vibration TestingVanja Pahor Kos0Janko Slavič1Miha Boltežar2 Letrika d.d., Institute for Electric Rotary Systems, Polje 15, 5290 Šempeter pri Gorici, Slovenia Laboratory for Dynamics of Machines and Structures, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia Laboratory for Dynamics of Machines and Structures, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, SloveniaThe vibration testing of components in the automotive industry requires long testing times and the use of expensive facilities. To shorten these testing times an accelerated vibration-testing approach is usually applied. This research tries to shorten these testing times by considering the parameters that define vibration-testing techniques. With special attention to the excitation types sweep-sine and random, a damage-based approach is applied. The phenomenon of fatigue damage is closely observed from the frequency-domain point of view but also by considering the relationship between the time and the frequency domains. The Palmgren-Miner cumulative rule is applied to calculate the fatigue life. Two case studies of measured responses are used to compare the times to failure. The results show that proposed predictions can be used to compare different testing techniques, but they are not so accurate when predicting the actual times to failure.https://doi.org/10.1155/2014/340545 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vanja Pahor Kos Janko Slavič Miha Boltežar |
spellingShingle |
Vanja Pahor Kos Janko Slavič Miha Boltežar Fatigue Damage for Sweep-Sine and Random Accelerated Vibration Testing Advances in Mechanical Engineering |
author_facet |
Vanja Pahor Kos Janko Slavič Miha Boltežar |
author_sort |
Vanja Pahor Kos |
title |
Fatigue Damage for Sweep-Sine and Random Accelerated Vibration Testing |
title_short |
Fatigue Damage for Sweep-Sine and Random Accelerated Vibration Testing |
title_full |
Fatigue Damage for Sweep-Sine and Random Accelerated Vibration Testing |
title_fullStr |
Fatigue Damage for Sweep-Sine and Random Accelerated Vibration Testing |
title_full_unstemmed |
Fatigue Damage for Sweep-Sine and Random Accelerated Vibration Testing |
title_sort |
fatigue damage for sweep-sine and random accelerated vibration testing |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8132 |
publishDate |
2015-01-01 |
description |
The vibration testing of components in the automotive industry requires long testing times and the use of expensive facilities. To shorten these testing times an accelerated vibration-testing approach is usually applied. This research tries to shorten these testing times by considering the parameters that define vibration-testing techniques. With special attention to the excitation types sweep-sine and random, a damage-based approach is applied. The phenomenon of fatigue damage is closely observed from the frequency-domain point of view but also by considering the relationship between the time and the frequency domains. The Palmgren-Miner cumulative rule is applied to calculate the fatigue life. Two case studies of measured responses are used to compare the times to failure. The results show that proposed predictions can be used to compare different testing techniques, but they are not so accurate when predicting the actual times to failure. |
url |
https://doi.org/10.1155/2014/340545 |
work_keys_str_mv |
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