Investigations on hard turning using SS304 sheet metal component grey based Taguchi and regression methodology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12008-023-01244-5.pdf
Reference40 articles.
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3. Zhang, Y., Xiaojie, Xu.: Machine learning cutting force, surface roughness, and tool life in high speed turning processes. Manufact. Lett. 29, 84–89 (2021)
4. Qehaja, N., Jakupi, K., Bunjaku, A., Bruçi, M., Osmani, H.: Effect of machining parameters and machining time on surface roughness in dry turning process. Procedia Eng. 100, 135–140 (2015)
5. Viswanathan, R., Ramesh, S., Maniraj, S., Subburam, V.: Measurement and multi-response optimization of turning parameters for magnesium alloy using hybrid combination of Taguchi-GRA-PCA technique. Measurement 159, 107800 (2020)
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