Quality Prediction for Wire Arc Additive Manufacturing Based on Multi-source Signals, Whale Optimization Algorithm–Variational Modal Decomposition, and One-Dimensional Convolutional Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11665-023-08768-7.pdf
Reference22 articles.
1. B. Blakey-Milner, P. Gradl, G. Snedden, M. Brooks, J. Pitot, E. Lopez, M. Leary, F. Berto, and A. Du Plessis, Metal Additive Manufacturing in Aerospace: A Review, Mater. Des., 2021, 209, p 110008.
2. L.P. Raut and R.V. Taiwade, Wire Arc Additive Manufacturing: A Comprehensive Review and Research Directions, J. Mater. Eng. Perform., 2021, 30(7), p 4768–4791.
3. Y. Shen, Y. Wei, Z. Li, X. Du, and S. Liu, Wire and Arc Additive Remanufacturing of Hot-Forging Dies: A Preliminary Study, Weld. World, 2022, 66(8), p 1691–1702.
4. M. Srivastava, S. Rathee, A. Tiwari, and M. Dongre, Wire Arc Additive Manufacturing of Metals: A Review on Processes, Mater. Behav. Mater. Chem. Phys., 2023, 294, p 126988.
5. M.C. Brennan, J.S. Keist, and T.A. Palmer, Defects in Metal Additive Manufacturing Processes, J. Mater. Eng. Perform., 2021, 30(7), p 4808–4818.
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