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Influence of Wheel Blunting on the Machining Precision in CNC Plunge Grinding: Digital Twin Analysis

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Abstract

The machining precision in grinding a flexible shaft by sharp and blunt wheels is compared for a CNC system with a specified cycle of radial supply velocities. To that end, the margin removal is analyzed in grinding by sharp and blunt grinding wheels. The machining process is simulated by means of a digital twin of CNC plunge grinding. By that means, the actual supply velocity is calculated for specific parameters of the grinding cycle. A method is described for calculating the blunting of the abrasive grains in a blunt wheel with specified characteristics. The model of grinding is based on analytical relations specifying the functional relations of the cutting force with the specified cutting conditions, the geometry of the cutting zone, the wheel’s characteristics and its dimensions, the cutting depth, and different degrees of grain blunting.

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REFERENCES

  1. Soler, Ya.I., Nguen, V.L., and Nguen, Ch.K., Prediction of shape precision of hardened steel flat parts at pendular grinding with periphery of the abrasive wheel, Mezhdunarod. Nauchno-Issled. Zh., 2013, no. 12-1, pp. 128–134.

  2. Soler, Ya.I. and Nguyen, V.L., Modeling and predicting flatness deviations under plane grinding of parts made of 30HGSA hardened steel, Vestn. Irkutsk. Gos. Tekh. Univ., 2016, no. 4 (111), pp. 54–65.

  3. Akintseva, A.V., Prokhorov, A.V., and Omelchenko, S.V., Modelling of correlation of actual and program feeds in the automatic cycle, IOP Conf. Ser.: Mater. Sci. Eng., 2020, vol. 3, art. ID 033003.

  4. Pereverzev, P.P., and Akintseva, A.V., Model of cutting force while managing two regime parameters in the process of internal grinding, Procedia Eng., 2016, vol. 115, pp. 1113–1117.

    Article  Google Scholar 

  5. Liu, Y.M., Yang, T.Y., He, Z., and Li, J.Y., Analytical modeling of grinding process in rail profile correction considering grinding pattern, Arch. Civ. Mech. Eng., 2018, vol. 18, no. 2, pp. 669–678.

    Article  Google Scholar 

  6. Gao, S., Yang, C., Xu, J., et al., Optimization for internal traverse grinding of valves based on wheel deflection, Int. J. Adv. Manuf. Technol., 2017, vol. 92, pp. 1105–1112. https://doi.org/10.1007/s00170-017-0210-8

    Article  Google Scholar 

  7. Leonesio, M., Sarhangi, M., Bianchi, G., et al., A meta-model framework for grinding simulation, Procedia CIRP, 2015, vol. 31, pp. 357–362. https://doi.org/10.1016/j.procir.2015.03.086

    Article  Google Scholar 

  8. Rezhimy rezan’ya na raboty, vypolnyaemye na shlifoval’nykh i dovodochnykh stankakh s ruchnym upravleniem i poluavtomatakh: Spravochnik (Cutting Regimes for Grinding and Finishing Machines with Manual and Semi-Automatic Control: Handbook), Chelyabinsk: Atokso, 2007.

  9. Akintseva, A.V., Pereverzev, P.P., and Ardashev, D.V., Calculation of ranges blunting of grinding wheels with different characteristics, Stanki Instrum., 2019, no. 11, pp. 37–40.

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Funding

This research was funded by Ministry of Science and  Higher Education of the Russian Federation (grant no. FENU-2020-0020).

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Correspondence to A. V. Akintseva, P. P. Pereverzev, A. V. Prokhorov or S. V. Omel’chenko.

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Translated by B. Gilbert

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Akintseva, A.V., Pereverzev, P.P., Prokhorov, A.V. et al. Influence of Wheel Blunting on the Machining Precision in CNC Plunge Grinding: Digital Twin Analysis. Russ. Engin. Res. 42, 726–730 (2022). https://doi.org/10.3103/S1068798X22070048

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  • DOI: https://doi.org/10.3103/S1068798X22070048

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