Accesso libero

Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints

INFORMAZIONI SU QUESTO ARTICOLO

Cita

[1] Mishra, R.S. and Ma, Z.Y. (2005). Friction stir welding and processing. Materials Science and Engineering: R: Reports, 50(1-2), pp.1-78. 10.1016/j.mser.2005.07.001.10.1016/j.mser.2005.07.001 Search in Google Scholar

[2] Thomas, W.M. and Nicholas, E.D. (1997). Friction stir welding for the transportation industries. Materials & Design, 18(4-6), pp.269-273. 10.1016/s0261-3069(97)00062-9.10.1016/S0261-3069(97)00062-9 Search in Google Scholar

[3] Lohwasser, D. and Chen, Z. eds. (2009). Friction stir welding: From basics to applications. Elsevier. Search in Google Scholar

[4] Akinlabi, E.T. and Mahamood, R.M. (2020). Introduction to Friction Welding, Friction Stir Welding and Friction Stir Processing. In: Solid-State Welding: Friction and Friction Stir Welding Processes (pp. 1-12). Springer, Cham.10.1007/978-3-030-37015-2 Search in Google Scholar

[5] Kolokas, N., Vafeiadis, T., Ioannidis, D. and Tzovaras, D. (2020). Fault Prognostics in Industrial Domains using Unsupervised Machine Learning Classifiers. Simulation Modelling Practice and Theory, 103, p.102109. 10.1016/j.simpat.2020.10210910.1016/j.simpat.2020.102109 Search in Google Scholar

[6] Aimiyekagbon, O.K., Bender, A. and Sextro, W. (2020). Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data. In Proceedings of the European Conference of the PHM Society, 5(1), pp. 1-11. Available at: www.phmpapers.org/index.php/pheme/issue/view/4 Search in Google Scholar

[7] Mongan, P.G., Hinchy, E.P., O’Dowd, N.P. and McCarthy, C.T., 2020. Optimisation of Ultrasonically Welded Joints through Machine Learning. Procedia CIRP, 93, pp.527-531. 10.1016/j.procir.2020.04.060.10.1016/j.procir.2020.04.060 Search in Google Scholar

[8] Dutt A.K., Sindhuja K., Reddy S.V.N., Kumar P. (2021). Application of Artificial Neural Network to Friction Stir Welding Process of AA7050 Aluminum Alloy. In: Arockiarajan A., Duraiselvam M., Raju R. (eds) Advances in Industrial Automation and Smart Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Singapore. 10.1007/978-981-15-4739-3_34. Search in Google Scholar

[9] Hartl, R., Hansjakob, J. & Zaeh, M.F. (2020). Improving the surface quality of friction stir welds using reinforcement learning and Bayesian optimization. The International Journal of Advanced Manufacturing Technology, 110, pp. 3145-3167. 10.1007/s00170-020-05696-x.10.1007/s00170-020-05696-x Search in Google Scholar

[10] Hossam Selim, Fernando Piñal Moctezuma, Miguel Delgado Prieto, José Francisco Trull, Luis Romeral Martínez and Crina Cojocaru (2019). Wavelet Transform Applied to Internal Defect Detection by Means of Laser Ultrasound, Wavelet Transform and Complexity, Dumitru Baleanu, IntechOpen, 10.5772/intechopen.84964. Available from: https://www.intechopen.com/books/wavelet-transform-and-complexity/wavelet-transform-applied-to-internal-defect-detection-by-means-of-laser-ultrasound10.5772/intechopen.84964 Search in Google Scholar

[11] Vermaak, H., Nsengiyumva, P. and Luwes, N. (2016). Using the dual-tree complex wavelet transform for improved fabric defect detection. Journal of Sensors, 2016. 10.1155/2016/9794723.10.1155/2016/9794723 Search in Google Scholar

[12] Knitter-Piątkowska, A., Guminiak, M.J., Przychodzki, M. (2016). Application of Discrete Wavelet Transformation to Defect Detection in Truss Structures with Rigidly Connected Bars. Engineering Transactions, 64(2,) pp. 157-170. ISSN 2450-8071. Available at: http://www.entra.put.poznan.pl/index.php/et/article/view/319. Date accessed: 01 Nov. 2020. Search in Google Scholar

eISSN:
2300-7591
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Engineering, Introductions and Overviews, other