Optimization and Machinability Assessment at the Optimal Solutions Across Taguchi OA, GRA, and BBD: An Overall View
Author:
Funder
Direction Générale de la Recherche Scientifique et du Développement Technologique
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-07825-6.pdf
Reference79 articles.
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2. Tebassi, H.; Yallese, M.; Khettabi, R.; Belhadi, S.; Meddour, I.; Girardin, F.: Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718. Int. J. Ind. Eng. Comput. 7, 111–134 (2016). https://doi.org/10.5267/j.ijiec.2015.7.003
3. Benardos, P.G.; Vosniakos, G.C.: Predicting surface roughness in machining: a review. Int. J. Mach. Tools Manuf 43, 833–844 (2003). https://doi.org/10.1016/S0890-6955(03)00059-2
4. Arbizu, I.P.; Perez, C.L.: Surface roughness prediction by factorial design of experiments in turning processes. J. Mater. Process. Technol. 143, 390–396 (2003). https://doi.org/10.1016/S0924-0136(03)00407-2
5. Groover, M. P.: Fundamentals of modern manufacturing: materials, processes, and systems. John Wiley & Sons (2020).
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