Information Channel for Proactive Control of Machining Conditions: A Cyber-Physical System on the Basis of a CNC Machine

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Creativity in Intelligent Technologies and Data Science (CIT&DS 2023)

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.

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Correspondence to Julius Tchigirinsky .

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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

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  • DOI: https://doi.org/10.1007/978-3-031-44615-3_19

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-44615-3

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