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Virtualization in Chimmotology Investigations

https://doi.org/10.1134/S2304487X19060051

Abstract

   Qualification tests were interpreted as specific case of semi–natural experiment where laboratory plant takes part of environment physical model with studied object. In this situation virtualization represents transfer from physical to mathematical models and allows virtual qualification, i. e. qualification test implementation in form of numerical experiment. Virtualization permits performing extrapolation of laboratory results to normal exploitation conditions and recalculation of these conditions to qualification experiment parameters. Virtualization effectiveness demonstrated at math models optimization, qualification experiments correction and their results forecasting, at criteria models application for qualification experiments adequate parameterization on exploitation characteristics. Models of internal combustion engine were created for investigation of tribological and chimmotolologcal factors influence on engine dynamics end effectiveness. They are based on balance relation and differ with method of cylinder pressure imitation only. Friction influence was based on Gersy–Streebeck curve approximation and its use for friction coefficient calculation in dependence of Sommerfeld’s number. Basing on anti–wear properties investigation criteria model of volume wear was developed and used for wear evaluation at specified conditions. It was proposed to use this model for wear forecast at extreme conditions and forming of corresponding qualification normative. For oils density approximation model – oriented identification was proposed to use. Toward this end, modified algorithm was built which is based on law of corresponding states. In contrast to usual algorithm based on correlation tables use modified algorithm uses density presentation in form of power function of oil pressure and temperature. It was shown that for light oils modified algorithm provides better precision in comparison with usual one.

About the Author

A. A. Moiseev
NPP Technos-RM (Technos-RM Research and Production Enterprise)
Russian Federation

141002

Mytischi



References

1. Moiseev A. Qualification tests virtualization, Industrial Automatic Control Systems and Controllers, no. 10, 2015, p. 40.

2. Moiseev A. Identification models adaptation, Industrial Automatic Control Systems and Controllers, no. 6, 2015, p. 65.

3. Moiseev A. Simplified mathematical model of internal-combustion engine, Applied Physics and Mathematics, no. 3, 2016, p. 29.

4. Moiseev A. Multifunctional dynamical model of internal combustion engine, Industrial Automatic Control Systems and Controllers, 2017, no. 6, p. 23.

5. Kondratenko V., Moiseev A. Factor analysis in qualification quotation of friction wear, Thesises of VI scientific conference “Problems of himmotology: from experiment to high level math models”, Moscow, Gubkin university of oil and gas, 2016, p. 102.

6. Moiseev A. Criteria model of frictional wear, Proceedings of 25 State himmotology institute, issue 57, Moscow, “Pero”, 2016, p. 241.

7. Moiseev A. Criteria model of qualifying wear tests, Engineering physics, no. 12, 2015, p. 30.

8. Moiseev A. Criteria modeling at the formation of qualification standards, Vestnik Natsional’nogo issledovatel’skogo yadernogo universiteta “MIFI”, 2016, vol. 5, no. 5, p. 414.

9. Moiseev A. Criteria model of chemical stability at static conditions, Science intensive technologies in mechanical engineering, no. 10, 2017, p. 42.

10. Moiseev A. Modified Estimation of Oils Density, Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, 2016, vol. 2, no. 3, pp. 73–84.


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For citations:


Moiseev A.A. Virtualization in Chimmotology Investigations. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2019;8(6):553-568. (In Russ.) https://doi.org/10.1134/S2304487X19060051

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ISSN 2304-487X (Print)