Development of Weighted Ensemble Deep Learning Network for Surface Roughness Prediction and Flank Wear Measurement
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11665-024-09726-7.pdf
Reference38 articles.
1. J. Rajaparthiban, M. Aswin, A. Abinaya, V. Mohanavel, S.S. Kumar, M. Ravichandran, and R. Subbiah, Parametric Analysis and Simulation of Surface Roughness and Tool Flank Wear in Machining of Low Carbon Alloy Steel, Mater. Today Proc., 2022, 59, p 1457–1462.
2. Z.P. Cui, G. Li, H.Z. Liu, W.J. Zong, H.J. Zhang, C.Y. Zhang, and K. Du, Tool Anisotropic Wear Prediction and Its Influence on Surface Topography In Diamond Turning of Oxygen-Free Copper, J. Mater. Process. Technol., 2023, 318, p 118042.
3. D. Bilgili, G. Kecibas, C. Besirova, M.R. Chehrehzad, G. Burun, T. Pehlivan, U. Uresin, E. Emekli, and I. Lazoglu, Tool Flank Wear Prediction using High-Frequency Machine Data from Industrial Edge Device, Procedia CIRP, 2023, 118, p 483–488.
4. G. Zhang, S. To, and S. Zhang, Evaluation for Tool Flank Wear and Its Influences on Surface Roughness in Ultra-Precision Raster Fly Cutting, Int. J. Mech. Sci., 2016, 118, p 125–134.
5. U.M. Paturi, A. Yash, S.T. Palakurthy, and N.S. Reddy, Modeling and Optimization of Machining Parameters for Minimizing Surface Roughness and Tool Wear during AISI 52100 Steel Dry Turning, Mater. Today Proc., 2022, 50, p 1164–1172.
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