Abstract
Line Heating (LH) is the main method for forming ship-hull plates. And it’s mainly operated by skilled workers manually, so the accuracy of final shape and the productivity solely depend on the experience of the workers. In order to predict the surface deformation of plates, a new method is developed to determine the processing parameters and improve the productivity. Firstly, LH process is simulated by Finite Element Analysis (FEA) according to the complexity of LH mechanism. Secondly, a model of Artificial Neural Network (ANN) is established. Finally, the computation results of simulation by FEA are applied to train the ANN model. In the way, a method of surface deformation prediction is proposed for real time analysis.
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Acknowledgements
The authors would like to acknowledge the support of Industry-Academia Cooperation Innovation Fund Projects of Jiangsu Province (BY2011143), the support of the Special Natural Science Foundation for Innovative Group of Jiangsu University during the course of this work.
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Qi, L., Yu, F., Song, J., Zhao, X. (2016). The Surface Deformation Prediction of Ship-Hull Plate for Line Heating. In: Hung, J., Yen, N., Li, KC. (eds) Frontier Computing. Lecture Notes in Electrical Engineering, vol 375. Springer, Singapore. https://doi.org/10.1007/978-981-10-0539-8_82
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DOI: https://doi.org/10.1007/978-981-10-0539-8_82
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