Prediction of Machining Quality and Tool Wear in Micro-Turning Machine Using Machine Learning Models
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4571-7_1
Reference19 articles.
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2. Elias JV, Venkatesh NP, Lawrence KD, Mathew J (2021) Tool texturing for micro-turning applications–an approach using mechanical micro indentation. Mater Manuf Process 36(1):84–93. https://doi.org/10.1080/10426914.2020.1813899
3. Jagadesh T, Samuel GL (2014) Investigations into cutting forces and surface roughness in micro turning of titanium alloy using coated carbide tool. Procedia Mater Sci 5:2450–2457. https://doi.org/10.1016/j.mspro.2014.07.496
4. Özel T, Sima M, Srivastava AK, Kaftanoglu B (2010) Investigations on the effects of multi-layered coated inserts in machining Ti-6Al-4V alloy with experiments and finite element simulations. CIRP Ann—Manuf Technol 59(1):77–82. https://doi.org/10.1016/j.cirp.2010.03.055
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