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http://dx.doi.org/10.5916/jkosme.2013.37.8.869

The prediction of fatigue life of muffler by artificial neural network  

Park, Soon-Cheol (Research & Development Division, Hyundai Motors)
Kang, Sung-Su (Division of Mechanical Engineering, Pusan National University)
Yoon, Jin-Ho (Division of Mechanical Engineering, Pusan National University)
Kim, Gug-Yong (Division of Mechanical Engineering, Pusan National University)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.37, no.8, 2013 , pp. 869-876 More about this Journal
Abstract
In order to estimate the fatigue life of mufflers at the early stage of researches and designs, the new prediction process was developed by the artificial neural network, which has the algorism of weldment properties. Bending fatigue test was carried out for defining the characteristics of muffler weldment fatigue life and damage. For considering and predicting mechanical and fatigue properties of the muffler, the maximum stress of weldment was adapted as the variable of artificial neural network training. Also, it was compared with the fatigue life predicting results using fatigue notch factors, for proving the newly developed process of the artificial neural network.
Keywords
Muffler; Weld-zone Shape; Artificial neural network; Genetic algorithm; Fatigue life prediction;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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