Probabilistic Thermal-Fatigue Life Assessment for Vehicle Exhaust Components and Systems

2014-01-2305

09/30/2014

Event
SAE 2014 Commercial Vehicle Engineering Congress
Authors Abstract
Content
Thermo-mechanical fatigue (TMF) resistance characterization and life assessment are extremely important in the durability/reliability design and validation of vehicle exhaust components/systems, which are subjected to combined thermal and mechanical loadings during operation. The current thermal-fatigue related design and validation for exhaust products are essentially based on testing and the interpretation of test results. However, thermal-fatigue testing are costly and time consuming, therefore, computer aided engineering (CAE) based virtual thermal-fatigue life assessment tools with predictive powers are strongly desired. Many thermal-fatigue methods have been developed and eventually implemented into the CAE tools; however, most of them are based on deterministic life assessment approach, which cannot provide satisfactory explanation for the observed uncertainties introduced in thermal-fatigue failure data. In this paper, a probabilistic thermal-fatigue life assessment procedure is developed. The life distribution function constructed is expressed as a function of cumulative plastic strain amplitude, peak operating temperature and reliability level. The values of the parameters in the probabilistic distribution function are estimated from extensive V-shape specimen tests and associated data correlation. The developed procedure is then implemented into the CAE environment and applied to the life assessment of exhaust components/systems including a fabricated manifold, and its effectiveness is demonstrated.
Meta TagsDetails
DOI
https://doi.org/10.4271/2014-01-2305
Pages
10
Citation
Wei, Z., Qu, Y., Zhang, Y., Yang, F. et al., "Probabilistic Thermal-Fatigue Life Assessment for Vehicle Exhaust Components and Systems," SAE Technical Paper 2014-01-2305, 2014, https://doi.org/10.4271/2014-01-2305.
Additional Details
Publisher
Published
Sep 30, 2014
Product Code
2014-01-2305
Content Type
Technical Paper
Language
English