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Frequency FE-Based Weld Fatigue Life Prediction of Dynamic Systems Ford Motor Company
- Format:
- Conference/Event
- Author/Creator:
- Costa, Costa, author.
- Conference Name:
- WCX 17: SAE World Congress Experience (2017-04-04 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2017
- Summary:
- AbstractIn most aspects of mechanical design related to a motor vehicle there are two ways to treat dynamic fatigue problems. These are the time domain and the frequency domain approaches. Time domain approaches are the most common and most widely used especially in the automotive industries and accordingly it is the method of choice for the fatigue calculation of welded structures. In previous papers the frequency approach has been successful applied showing a good correlation with the life and damage estimated using a time based approach; in this paper the same comparative process has been applied but now extended specifically to welded structures. Both the frequency domain approach and time domain approach are used for numerically predicting the fatigue life of the seam welds of a thin sheet powertrain installation bracketry of a commercial truck submitted to variable amplitude loading. Predicted results are then compared with bench tests results, and their accuracy are rated. Ultimately the key question addressed within this study is whether the frequency domain approach can be a better alternative when compared to the conventional time domain approaches, when used to determine weld fatigue durability. It is demonstrated that when the fatigue damage is efficiently evaluated using the frequency approach (PSDs), it permits a better understand of the importance of the dynamic characteristic of the actual system, isolating the mode contributions to the total damage, guiding how much a test can be accelerated or even how this damage can be minimized by changing the normal modes of this system
- Notes:
- Vendor supplied data
- Publisher Number:
- 2017-01-0355
- Access Restriction:
- Restricted for use by site license
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