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ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20

By
Cihan H. Dagli
Cihan H. Dagli
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ISBN:
9780791859599
No. of Pages:
686
Publisher:
ASME Press
Publication date:
2010

Cold rolling is used to eliminate void defects in cast materials, thus improving the material performance during service. A comprehensive procedure is developed using finite element analysis and neural network to predict the degree of void closure. A three-dimensional nonlinear dynamic finite element model is used to study the mechanism of void deformation. Experiments were conducted and the results are compared to finite element predictions to validate the model. As finite element simulation is time-consuming, a back-propagation neural network model is developed to predict void closure behavior. Based on correlation analysis, the reduction in sheet thickness, the dimension of the...

Abstract
Introduction
Finite Elment Modeling
Neural Network Modeling
Results and Discussion
Conclusion
Acknowledgements
References
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