An integrated framework for a multi-material surface roughness prediction model in CNC turning using theoretical and machine learning methods
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13201-x.pdf
Reference42 articles.
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2. Tomov M, Kuzinovski M, Cichosz P (2016) Development of mathematical models for surface roughness parameter prediction in turning depending on the process condition. Int J Mech Sci 113:120–132. https://doi.org/10.1016/j.ijmecsci.2016.04.015
3. Mai Q, Quan Y, Liu P, Ding G (2017) A new geometrical model of the formation of machined surface. Int J Adv Manuf Technol 91:3493–3502. https://doi.org/10.1007/s00170-017-0078-7
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5. Pantoja FG, Songmene V, Kenné J-P, Olufayo OA, Ayomoh M (2018) Development of a tool cost optimization model for stochastic demand of machined products. Appl Math (Irvine) 09(12):1395–1423. https://doi.org/10.4236/am.2018.912091
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