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https://doi.org/10.17559/TV-20141209182117

Artificial Neural Networks Model for Springback Prediction in the Bending Operations

Florica Mioara Serban ; Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Str. G. Bariţiu nr. 26-28, 400027 Cluj-Napoca, Romania
Sorin Grozav ; Faculty of Machine Building, Technical University of Cluj-Napoca, B-dul Muncii 103-105, 400641 Cluj-Napoca, Romania
Vasile Ceclan ; Faculty of Machine Building, Technical University of Cluj-Napoca, B-dul Muncii 103-105, 400641 Cluj-Napoca, Romania
Antoniu Turcu ; Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Str. G. Bariţiu nr. 26-28, 400027 Cluj-Napoca, Romania

Puni tekst: engleski, pdf (1 MB) str. 868-873 preuzimanja: 0* citiraj
APA 6th Edition
Serban, F.M., Grozav, S., Ceclan, V. i Turcu, A. (2020). Artificial Neural Networks Model for Springback Prediction in the Bending Operations. Tehnički vjesnik, 27 (3), 868-873. https://doi.org/10.17559/TV-20141209182117
MLA 8th Edition
Serban, Florica Mioara, et al. "Artificial Neural Networks Model for Springback Prediction in the Bending Operations." Tehnički vjesnik, vol. 27, br. 3, 2020, str. 868-873. https://doi.org/10.17559/TV-20141209182117. Citirano 08.07.2020.
Chicago 17th Edition
Serban, Florica Mioara, Sorin Grozav, Vasile Ceclan i Antoniu Turcu. "Artificial Neural Networks Model for Springback Prediction in the Bending Operations." Tehnički vjesnik 27, br. 3 (2020): 868-873. https://doi.org/10.17559/TV-20141209182117
Harvard
Serban, F.M., et al. (2020). 'Artificial Neural Networks Model for Springback Prediction in the Bending Operations', Tehnički vjesnik, 27(3), str. 868-873. https://doi.org/10.17559/TV-20141209182117
Vancouver
Serban FM, Grozav S, Ceclan V, Turcu A. Artificial Neural Networks Model for Springback Prediction in the Bending Operations. Tehnički vjesnik [Internet]. 2020 [pristupljeno 08.07.2020.];27(3):868-873. https://doi.org/10.17559/TV-20141209182117
IEEE
F.M. Serban, S. Grozav, V. Ceclan i A. Turcu, "Artificial Neural Networks Model for Springback Prediction in the Bending Operations", Tehnički vjesnik, vol.27, br. 3, str. 868-873, 2020. [Online]. https://doi.org/10.17559/TV-20141209182117

Sažetak
The aim of this paper is to develop an Artificial Neural Network (ANN) model for springback prediction in the free cylindrical bending of metallic sheets. The proposed ANN model was developed and tested using the Matlab software. The input parameters of the proposed ANN model were the sheet thickness, punch radius, and coefficient of friction. The resulting data is represented by the springback coefficient. Preparation, assessing and confirmation of the model were achieved using 126 data series obtained by Finite element analysis (FEA). ANN was trained by Levenberg - Marquardt back - propagation algorithm. The performance of the ANN model was evaluated using statistic measurements. The predictions of the ANN model, regarding FEA, had quite low root mean squared error (RMSE) values and the model performed well with the coefficient of determination values. This shows that the developed ANN model leads to the idea of being used as an instrument for springback prediction.

Ključne riječi
artificial neural networks; finite element simulation; springback prediction

Hrčak ID: 239096

URI
https://hrcak.srce.hr/239096

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