FEATURES OF DEVELOPING THE MATHEMATICAL MODEL OF METAL REMOVAL FOR THE DIGITAL TWIN OF PROCESS OF CIRCULAR GRINDING WITH CNC
Abstract
cycles for operations performed on CNC machines still remains unsolved. In practice, the technologist still has to manually adjust designed cycles using various CAD/CAM-systems, which
have an information base based on the data from the normative reference literature developed in
the 60–90`s for universal equipment. At that the technologist relies on personal experience or on
the existing data in similar operations. As a result, the cycles designed in this way cannot guarantee maximum productivity and durability of the equipment used, stability of accuracy and quality
indicators in a batch of parts and, accordingly, the minimum cost price of the operation performed.
As a solution to the problem described above, development of the digital twin on the example of a circular grinding operation is proposed. Analytical model of the layer-by-layer metal removal from the workpiece can be the digital twin of the circular grinding process. In addition to
the initial processing conditions (main parameters of the workpiece, tool, equipment, tooling,
etc.) which have a direct impact on the grinding process, this model must consider kinematics
and features of the metal removal inherent in various types of grinding. Digital twin must consider instability of the grinding process (blunting of the wheel, allowance fluctuations, loss of the
wheel diameter and, accordingly, the contact area of the wheel with the workpiece). The article
describes the main stages of developing the analytical model of metal removal on the example of
the circular grinding with longitudinal feed. The developed digital twin of the circular grinding
operation can be used not only for designing optimal cycles of the cutting modes, but also for
predicting the reliability of the developed cycles and the quality of processing in unstable conditions of processing the batch of parts.
Keywords
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Roblek, V. A complexity view of Industry 4.0 / V. Roblek, M. Meško, A. Krapež // SAGE Open, 2016. – P. 1–11.
Schumacher, A. Industry 4.0 Operationalization based on an Integrated Framework of Industrial Digitalization and Automation / A. Schumacher, C. Schumacher, W. Sihn // ICPR1 2019, LNME. 2020. – P. 301–310.
Михелькевич, В.Н. Автоматическое управление шлифованием / В.Н. Михелькевич. – М.: Машиностроение, 1975. – 304 с.
Исаков, Д.В. Оптимизация автоматических циклов шлифования, выполняемых на плоскошлифовальных станках, методом динамического программирования / Д.В. Исаков, А.С. Коваленко // Обработка металлов резанием. – 2009. – № 4(52). – С. 2–12.
Михайлов, А.Н. Многокритериальная оптимизация режимов резания при точении инструментами с покрытиями / А.Н. Михайлов, Т.Г. Ивченко, И.А. Петряева // Известия Тульского
гос. ун-та. Технические науки. – 2016. – № 8. – С. 159–166.
Popova, A.V. Design of Optimal Internal Grinding Cycles / A.V. Popova // Russian Engineering Research. – 2015. – Vol. 35, № 5. – P. 378–380.
Optimization of Manufacturing Time in Internal Grinding / X.H. Le, H.K. Le, T.H. Tran et al. // ICERA 2019, LNNS 104. 2020. – P. 557–565.
Jiajian, G. Optimization of internal plunge grinding using collaboration of the air-grinding and
the material removal model based on the power signal / G. Jiajian, H. Li // Int. Journal of Advanced Manufacturing Technology. – 2019. – Vol. 105. – P. 7–8.
Gupta, R. Optimization of grinding parameters using enumeration method / R. Gupta, K.S. Shishodia, G.S. Sekhon // J. Mater. Process. Technol. – 2001. – Vol. 112. – P. 63–67.
Optimization for internal traverse grinding of valves based on wheel deflection / S. Gao, C. Yang, J. Xu et al. // Int. Journal of Advanced Manufacturing Technology. – 2017. – Vol. 92. –
P. 1105–1112.
A Study on Optimization of Manufacturing Time in External Cylindrical Grinding / L. Tung,
T. Hong, N. Cuong, N. Vu // J. Materials Science Forum. – 2019. – Vol. 977. – P. 18–26.
Stability analysis and optimization algorithms for the Set-Up of Infeed Centerless Grinding /
D. Barrenetxea, J. Alvarez, J.I. Marquinez et al. // Int. Journal of Machine Tools and Manufacture. – 2014. – Vol. 84. – P. 17–32.
Shipulin, L. Three-Stage Cycle in Plane Grinding by the Wheel Periphery / L. Shipulin, I. Shmidt // J. Russian Engineering Research. –2020. – № 4 (40).– C. 347–350.
Designing high-speed CNC-operations / A. Nurkenov, V.I. Guzeev, P.G. Mazein, I.P. Deryabin // IOP Conference Series: Materials Science and Engineering. – 2018. – Vol. 450, no. 032014.
Designing optimal automatic cycles of round grinding based on the synthesis of digital twin technologies and dynamic programming method / P.P. Pereverzev, A.V. Akintseva, M.K. Alsigar, D.V. Ardashev // Inter. J. Mechanical Sciences. – 2019. – Vol. 1. – P. 1–11.
Yudin, S. Generalized cutting force model for grinding / S. Yudin, K. Smolyanoy, P. Pereverzev // IOP Conference Series Materials Science and Engineering. – 2020. – Vol. 709, no. 033005.
Корчак, С.Н. Производительность процесса шлифования стальных деталей / С.Н. Корчак. – М.: Машиностроение, 1974. – 297 с.
Ardashev, D.V. Calculation of blunting ranges of the grinding wheels with different characteristics between dressings / D.V. Ardashev, V.I. Guzeev // Russian Engineering Research. – 2017. –
Vol. 37 (2). – P. 164–166.
Akintseva, A.V. Modelling of correlation of actual and program feeds in the automatic cycle /A.V. Akintseva, A.V. Prokhorov, S.V. Omelchenko // IOP Conference Series Materials Science and Engineering. – 2020. – Vol. 709, no. 033003.
Akintseva, A.V. Methodology for designing optimal internal grinding cycles resistant to varying
processing conditions / A.V. Akintseva, A.V. Prokhorov, S.V. Omelchenko // IOP Conference Series Materials Science and Engineering. – 2020. – Vol. 709, no. 033004
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