Abstract
This paper presents findings of the research proving that the known method for automated assignment of rational cutting modes, in unmanned technology, to modern CNC lathe machines, which are essentially cyber-physical systems, can be applied to processing with the use of lubricating and cooling technological fluids. This requires both conducting a certain number of experiments and building appropriate regression mathematical models. These studies are aimed at teaching cyber-physical systems in mechanical engineering to make independent decisions in assigning machining modes based on preliminary or operational information on the thermo-physical properties of contact pairs “tool-work piece” and other measuring signals from the cutting zone without operator participation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Plotnikov, A.L., Chigirinskii, Y., Frolov, E.M., Krylov, E.G.: Formulating CAD/CAM modules for calculating the cutting conditions in machining. Russ. Eng. Res. 5(29), 512–517 (2009). https://doi.org/10.3103/S1068798X09050207
Plotnikov, A.L., Krylov, E.G., Frolov, E.M.: Diagnostics of the state of a multicutter hard-alloy tool on the basis of thermoelectric phenomena in the cutting zone. Russ. Eng. Res. 2(30), 161–165 (2010). https://doi.org/10.3103/S1068798X10020140
Machinery technologist’s handbook, In: Suslov, A.G. (eds.) Innovative Mechanical Engineering Pub. Moscow, Russia (2019)
Metal cutting data handbook. In: Baranovskiy, Y.V. (eds.), 3rd edn. Mechanical Engineering Pub. Moscow, Russia (1972)
Turner’s Handbook. In: Shemetov, M.G., Bezyazychniy, V.F. (eds.), 2nd edn. Mechanical Engineering Pub. Moscow, Russia (2007)
Handbook of cutting data for metal cutting CNC machines. In: Guzeev, V.I. (eds.). Mechanical Engineering Pub. Moscow, Russia (2005)
Cutting tool constructor’s handbook. In: Baranchikov, V.I. (eds.). Mechanical Engineering Pub. Moscow, Russia (1994)
Kraynev, D., Bondarev, A., Tikhonova, Z.: Mathematical apparatus for predicting cutting tool life in turning process after prior plastic deformation. In: Radionov, A.A., Kravchenko, O.A., Guzeev, V.I., Rozhdestvenskiy, Y.V. (eds.) ICIE 2019. LNME, pp. 1107–1114. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-22063-1_118
Tikhonova, Z., Kraynev, D., Frolov, E.: Thermo-Emf as method for testing properties of replaceable contact pairs. In: Radionov, A.A., Kravchenko, O.A., Guzeev, V.I., Rozhdestvenskiy, Y.V. (eds.) ICIE 2019. LNME, pp. 1097–1105. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-22063-1_117
Frolov, E.M., Rogachev, A.V.: Intellectual device for automated assignment of turning modes (Intellectualnoye ustroystvo avtomaticheskogo naznacheniya rezhimov tocheniya). In: Zverovshchikov, A.E. et al. (eds.). Actual Problems of Machine Building–2023 (Aktualnye problem stankostroyeniya), pp. 411–415. Penza State University, OO “StaknoMashStroy” et al., Penza (2023)
Frolov, E.M., Krainev, D.V., Tikhonova, Z.S.: Cyber-physical machining systems based on commercial CNC Equipment. In: 2018 International Russian Automation Conference (RusAutoCon). IEEE (2018) https://doi.org/10.1109/RUSAUTOCON.2018.8501684
Kraynev, D.V., Bondarev, A.A., Tchigirinsky, Y.: On-line monitoring and parameter control of a surface microprofile. Procedia Eng. 206, 1285–1291 (2017). https://doi.org/10.1016/j.proeng.2017.10.632
Frolov, E.M., Rogachev, A.V.: The cutting data optimization for CNC machines. App. No. 2022614344. Bull. of Computer Programs, Databases, TIC. Moscow, Russia (2022)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Tchigirinsky, J., Zhdanov, A., Tikhonova, Z., Rogachev, A., Chigirinskaya, N. (2023). Information Channel for Proactive Control of Machining Conditions: A Cyber-Physical System on the Basis of a CNC Machine. In: Kravets, A.G., Shcherbakov, M.V., Groumpos, P.P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2023. Communications in Computer and Information Science, vol 1909. Springer, Cham. https://doi.org/10.1007/978-3-031-44615-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-031-44615-3_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-44614-6
Online ISBN: 978-3-031-44615-3
eBook Packages: Computer ScienceComputer Science (R0)