Process monitoring of the AISI D6 steel turning using artificial neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00170-023-11745-y.pdf
Reference37 articles.
1. Oliveira ARF, da Silva LRR, Baldin V et al (2021) Effect of tool wear on the surface integrity of Inconel 718 in face milling with cemented carbide tools. Wear 476. https://doi.org/10.1016/J.WEAR.2021.203752
2. de S RR, de Paiva RL, LRR d S et al (2021) Comprehensive study on Inconel 718 surface topography after grinding. Tribol Int 158:106919. https://doi.org/10.1016/j.triboint.2021.106919
3. Sales WF, Schoop J, da Silva LRR et al (2020) A review of surface integrity in machining of hardened steels. J Manuf Process 58:136–162
4. Suresh R, Basavarajappa S, Gaitonde VN et al (2013) State-of-the-art research in machinability of hardened steels. Proc Inst Mech Eng B J Eng Manuf 227:191–209. https://doi.org/10.1177/0954405412464589
5. da Silva LRR, Favero Filho A, Costa ES et al (2018) Cutting temperatures in end milling of compacted graphite irons. Elsevier
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