Predictive modelling and optimization for machinability indicators in cleaner milling of PH13-8Mo using sustainable cutting environments
Author:
Funder
Karabük Üniversitesi
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40430-024-04897-9.pdf
Reference54 articles.
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2. Öndin O, Kıvak T, Sarıkaya M, Yıldırım ÇV (2020) Investigation of the influence of MWCNTs mixed nanofluid on the machinability characteristics of PH 13–8 Mo stainless steel. Tribol Int 148:106323. https://doi.org/10.1016/j.triboint.2020.106323
3. Mohanty A, Gangopadhyay S, Thakur A (2016) On applicability of multilayer coated tool in dry machining of aerospace grade stainless steel. Mater Manuf Process 31:869–879. https://doi.org/10.1080/10426914.2015.1070413
4. Günay M (2022) Modeling and multiple optimization in face milling of hardfacing welding applied steel: force, roughness, power. Proc Inst Mech Eng Part C J Mechanic Eng Sci 236:6652–6664
5. Pimenov DY, Kumar Gupta M, da Silva LRR et al (2022) Application of measurement systems in tool condition monitoring of milling: a review of measurement science approach. Measur J Int Measur Confed 199:111503. https://doi.org/10.1016/j.measurement.2022.111503
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