Analysis of the results of a study of heat fluxes on the surface of sublimating conical bodies during supersonic flow
| Authors: Battulga E. | |
| Published in issue: #6(101)/2025 | |
| DOI: | |
Category: Aviation and Rocket-Space Engineering | Chapter: Thermal, Electric Jet Engines, and Power Plants of Aircrafts |
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Keywords: aircraft, heat flow, aeromechanics, gas flow, surface mass transfer |
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| Published: 09.12.2025 | |
A statistical approach to the experimental study of the distribution of heat fluxes on the surface of permeable bodies during gas flow is described. The main attention is paid to the statistical processing of measurement results for various flow parameters. The essential role of statistical analysis in processing the results of experimental measurements of gas parameters on the body surface is shown. The levels of complexity of the elements are revealed, quantitative estimates of the heat transfer coefficients and the reliability of the estimates are given. The provisions of the similarity theory have also been developed for dimensionless criteria. A solution to the problem has been obtained for both linear and nonlinear gasdynamic systems, which significantly expands the possibilities of practical use of methods for detecting potential defects. The materials presented in the article and the experience of using various methods for detecting potential defects make it possible to identify with sufficient reliability a qualitative assessment of the effectiveness of various types of tests when rejecting elements of temperature sensors containing potential defects.
References
[1] Sidnyaev N.I. Review of Methods for Studying Hypersonic Gas Flows Around Bodies with a Disintegrating Coating. Thermophysics and Aeromechanics, 2004, Vol. 11, No. 4, pp. 501–522. (In Russ.).
[2] Zinchenko V.I., Goldin V.D. Methods for Reducing Maximum Surface Temperatures of Bodies Made of Combined Materials in Hypersonic Flows Around Them. Engineering Physics Journal, 2024, Vol. 97, No. 4, p. 1012. (In Russ.).
[3] Polezhaev Yu.V., Yurevich F.B. Thermal Protection. Moscow, Energia Publ., 1976, 392 p. (In Russ.).
[4] Sidnyaev N.I. Flow Around Hypersonic Aircraft under Surface Disintegration Conditions. Moscow, Fizmatlit Publ., 2017, 302 p. (In Russ.).
[5] Sidnyaev N.I. Probability Theory and Mathematical Statistics. Moscow, Yurait Publ., 2011, 310 p. (In Russ.).
[6] Sidnyaev N.I. Experimental Design Theory and Statistical Data Analysis. Moscow, Yurait Publ., 2011, 399 p. (In Russ.).
[7] Vygodchikova I.Yu. An Algorithm for Estimating the Parameters of a Linear Multiple Regression Model Using the Minimax Criterion. Moscow, Synergy Publ., 2019, 216 p. (In Russ.).
[8] Draper N., Smith G. Applied Regression Analysis. Moscow, Williams Publ., 2007, 912 p. (In Russ.).
[9] Meshcheryakov V.V. Problems in Statistics and Regression Analysis with MATLAB. Moscow, Dialog-Mifi Publ., 2019, 448 p. (In Russ.).
[10] Alabin M.A., Roytman A.B. Correlation and Regression Analysis of Statistical Data in Engine Manufacturing. Moscow, Mashinostroenie Publ., 2019, 124 p. (In Russ.).
[11] Gorlach B.A. Probability Theory and Mathematical Statistics. St. Petersburg, Lan Publ., 2013, 320 p. (In Russ.).
[12] Kobzar A.I. Applied Mathematical Statistics. For Engineers and Researchers. Moscow, FIZMATLIT Publ., 2012, 816 p. (In Russ.).
[13] Sidnyaev N.I., Sadykhov G.S., Savchenko V.P. Models and Methods for Assessing the Residual Life of Electronic Products. Moscow, BMSTU Press, 2015, 382 p. (In Russ.).
[14] Sidnyaev N.I. Statistical Analysis and Theory of Experimental Design. Moscow, BMSTU Press, 2017, 195 p. (In Russ.).
[15] Mendenhall W., Sincich T. A Second Course in Statistics. Regression Analysis. Prentice Hall, 2011, 812 p.
[16] Chatterjee S., Simonoff J.S. Handbook of Regression Analysis. Wiley, 2013, 236 p.
[17] Yan X., Su X.G. Linear regression analysis. Theory and computing. World Scientific, 2009, 329 p.
[18] Sidnyaev N.I. Reliability Assessment of the Spacecraft Separation System from the Main Engine. Bulletin of Mechanical Engineering, 2021, No. 2, pp. 3–13. (In Russ.). https://doi.org/10.36652/0042-4633-2021-2-3-13
