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Stochastic Model of Cutting-Tool Failure Based on the Level of Vibration

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Abstract

The parameters of a generalized stochastic model of cutting-tool failure may be estimated on the basis of statistical data regarding the vibration of the mechanical system, which provides information relating to the state of the tool. The accuracy in estimating the model parameters by the proposed method is analyzed.

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REFERENCES

  1. Wiklund, H., Bayesian and regression approaches to on-line prediction of residual tool life, Qual. Reliab. Eng. Int., 1998, vol. 14, no. 5, pp. 303–309.

    Article  Google Scholar 

  2. Martinov, G.M. and Grigor’ev, A.S., Diagnostics of cutting tools and prediction of their life in numerically controlled systems, Russ. Eng. Res., 2013, vol. 33, pp. 433–437.

    Article  Google Scholar 

  3. Pasko, N.I., Antsev, A.V., Antseva, N.V., et al., The generalized mathematical model of the failure of the cutting tool, IOP Conf. Ser.: Mater. Sci. Eng., 2017, vol. 177, art. ID 012052.

  4. Sakharov, G.N., Ilinykh, V., and Konyukhov, Yu.V., Improvement of fastening elements in an assembled cutting tool, Sov. Eng. Res., 1990, vol. 10, no. 11, pp. 102–103.

    Google Scholar 

  5. Salonitis, K. and Kolios, A., Reliability assessment of cutting tool life based on surrogate approximation methods, Int. J. Adv. Manuf. Technol., 2014, vol. 71, pp. 1197–1208.

    Article  Google Scholar 

  6. Patiño Rodriguez, C.E. and de Souza, G.F.M., Reliability concepts applied to cutting tool change time, Reliab. Eng. Syst. Saf., 2010, vol. 95, pp. 866–873.

    Article  Google Scholar 

  7. Vagnorius, Z., Rausand, M., and Sorby, K., Determining optimal replacement time for metal cutting tools, Eur. J. Oper. Res., 2010, vol. 206, pp. 407–416.

    Article  Google Scholar 

  8. Antsev, V.Yu., Inozemtsev, A.N., and Pas’ko, N.I., Control of the service life of cutting tool depending on production situations, Izv. Tul’sk. Gos. Univ., Ser. Tekhnol. Sistemotekh., 2003, no. 1, pp. 18–29.

  9. Pas’ko, N.I., Antsev, A.V., Antseva, N.V., et al., Obobshchennaya stokhasticheskaya model’ otkazov rezhushchego instrumenta i ee primenenie (Generalized Stochastic Cutting Tool Failure Model and Its Application), Tula: Tul’sk. Gos. Univ., 2016.

  10. Zhou, Y. and Xue, W., A multisensor fusion method for tool condition monitoring in milling, Sensors, 2018, vol. 18, no. 11, p. 3866.

    Article  Google Scholar 

  11. Bobrov, V.F., Osnovy teorii rezaniya metallov (Fundamental Theory of Metal Cutting), Moscow: Mashinostroenie, 1975.

  12. Antsev, A.V., Dang, Ch.Kh., Yanov, E.S., et al., Experimental installation for vibration control during CNC machining, Vestn. Voronezh. Gos. Tekh. Univ., 2019, vol. 15, no. 2, pp. 151–158.

  13. Antsev, A.V., Yanov, E.S., Dang, Ch.Kh., et al., Control of the cutting tool based on the analysis of the parameters of vibration signals in the frequency space, Materialy mezhdunarodnoi nauchno-tekhnicheskoi konferentsii “Obespechenie i povyshenie kachestva izdelii mashinostroeniya i aviakosicheskoi tekhniki,” 19–20 fevralya 2020 g. (Proc. Int. Sci.-Tech. Conf. “Maintenance and Improvement of the Quality of Products of Mechanical and Aerospace Engineering,” February 19–20, 2020), Bryansk: Bryansk. Gos. Tekh. Univ., 2020, pp. 308–312.

  14. Makarov, A.D., Iznos i stoikost’ rezhushchikh instrumentov (Wear and Reliability of Cutting Tools), Moscow: Mashinostroenie, 1966.

  15. Antsev, A.V. and Pas’ko, N.I., Evaluation of resistance dependence using the maximum likelihood method, Izv. Tul’sk. Gos. Univ., Ser. Tekh. Nauki, 2017, no. 8-2, pp. 129–138.

  16. Pas’ko, N.I. and Shilov, P.V., The parameters of the reliability function of the object during planned preventive restoration, Izv. Tul’sk. Gos. Univ., Ser. Tekh. Nauki, 2011, no. 3, pp. 299–305.

  17. Antsev, A.V., The system of comparative assessment of the quality of cutting tools from different manufacturers, Naukoemkie Tekhnol. Mahsinostr., 2020, vol. 2020, no. 3 (105), pp. 12–19.

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Funding

Financial support was provided by the Russian Foundation for Basic Research (project 18-38-00849).

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Correspondence to A. V. Antsev.

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Translated by B. Gilbert

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Pas’ko, N.I., Antsev, A.V. & Yanov, E.S. Stochastic Model of Cutting-Tool Failure Based on the Level of Vibration. Russ. Engin. Res. 41, 240–245 (2021). https://doi.org/10.3103/S1068798X21030114

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  • DOI: https://doi.org/10.3103/S1068798X21030114

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