Author:
Ning Lichuan,Xie Yuanmin,Ma Ruyi
Abstract
Abstract
The fatigue analysis of steel cladding and prediction method of lining thickness have been studied. The traditional empirical estimates and operational adjustments are not accurate enough. The finite element strength analysis and fatigue analysis of ladle cladding are carried out. A prediction model for the thickness of ladle lining is established. A BP neural network life prediction model is proposed. Then the model is used to solve the problem. The service life of ladle lining is predicted. The actual use of ladle lining is more accurately understood. The service life of ladle lining is increased and the service life of ladle is prolonged.
Cited by
2 articles.
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