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N. N. Poltorykhin, M. V. Nikiforov

A METHOD FOR IDENTIFYING THE OPTIMAL OPERATING PARAMETERS OF AN INTERNAL COMBUSTION ENGINE DIAGNOSTIC DEVICE

DOI: 10.17804/2410-9908.2024.3.006-016

The paper discusses selecting the optimal operating parameters of a device for diagnosing internal combustion engines. A laboratory experiment procedure is developed, the experiment layout being approved. Mathematical planning is used to compile a planning matrix of a three-factor experiment 33. The objects of the study are pneumatic valves, air pressure in a pneumatic system, and the compressed air supply interval in degrees of the crankshaft rotation. The experiment yields data on the camshaft angle after the termination of air supply to an internal combustion engine cylinder as dependent on the variation of the set device parameters. The data are statistically processed, with the calculation of the necessary values of the mean, variance, and coefficient of variation. The verification of the accuracy of the data testifies to the repeatability of the process. The results obtained from the experiment are statistically analyzed to generate regression equations. The study presents 3D surface plots and 2D plots showing the angle of camshaft rotation after the cessation of airflow to the engine cylinder as dependent on the values of variable factors. The analysis of the laboratory experiment results allows us to determine the most efficient design and process parameters of an internal combustion engine diagnostic device. The following parameters of the
diagnostic device are determined: a pneumatic valve area of 29.5 to 34.5 mm2, a system pressure of 0.48 to 0.62 MPa, and a compressed air supply interval (in crankshaft rotation degrees) of 140 to 180°, which allows for a camshaft rotation angle of 95 to 110 degrees.

Keywords: multifactorial experiment, internal combustion engine, complex diagnostic system

References:

  1. Livshits, V.M., Krasheninnikov, S.V., and Pyatin, S.P. Perspective developments in the field of diagnosis of motor and tractor diesels. Vestnik IrGSKHA, 2010, 38, 77–81. (In Russian).
  2. Zotov, S.V., Mezin, I.Yu., and Kasatkina, E.G. Analysis of modern methods for diagnosing internal combustion engines of automobiles. Aktualnyye Problemy Sovremennoy Nauki, Tekhniki i Obrazovaniya, 2016, 1, 247–250. (In Russian).
  3. Poltorykhin, N.N., Nikiforov, M.V., and Panov, Yu.A. Analysis of diagnostic tools in diesel engines. In: Obrazovanie, innovatsii, tsifrovizatsiya: vzglyad regionov [Education, Innovations, Digitalization. A View of the Regions: Proceedings of the Russian (National) Scientific and Practical Conference]. Tver SAA Publ., Tver, 2022, 279–281. (In Russian).
  4. Demakov, K.K. Methods of piston internal combustion engine diagnostics by analysis of crankcase gas-dynamic parameters. Nauchno-Tekhnicheskoe i Ekonomicheskoe Sotrudnichestvo Stran ATR v XXI Veke, 2021, 1, 16–21. (In Russian).
  5. Prosvirov, Yu.E. and Basov, S.A. Reliability of operation and methods for preliminary treatment of cylinder - piston group of internal combustion engines. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putey Soobshcheniya, 2010, 2 (38), 40–45. (In Russian).
  6. Danilov, I.K. and Popova, I.M. Analysis of methods, development and economic feasibility of a diagnostic device for a cylinder piston group of internal combustion engines. In: Problemy tekhnicheskoy ekspluatatsii i avtoservisa podvizhnogo sostava avtomobilnogo transporta [Problems of Technical Maintenance and Service of Motor Vehicles: Proceedings of the 75th MADI Conference]. Tekhpoligraftsentr Publ., 2017, 51–57. (In Russian).
  7. Shevtsov, Yu.D. and Zhuravlev, M.M. Promising methods for diagnosing internal combustion engines. Innovatsii. Nauka. Obrazovanie, 2021, 36, 1603–1608. (In Russian).
  8. Sivakov, V.V., Gryadunov, S.S., and Derevyagin, R.Yu. Improvement of car diagnostics by thermal imaging method. Transport. Transportnyye Sooruzheniya. Ekologiya, 2021, 3, 79–87. (In Russian). DOI: 10.15593/24111678.
  9. Aksenov, A.A. and Khudyakova, M.V. Modern approaches to diagnosing diesel internal combustion engine. Aktualnyye Napravleniya Nauchnykh Issledovaniy XXI Veka: Teoriya i Praktika, 2015, 3 (5–3) (16–3), 7–10. (In Russian).
  10. Koshevenko, A.V. Search of faults of a diesel engine. Tekhnika i Oborudovaniye Dlya Sela, 2008, 3, 44–45. (In Russian).
  11. Nikiforov, M.V., Panov, Yu.A., and Poltorykhin, N.N. Methods for diagnosing internal combustion engines by forcibly supplying compressed air to an engine cylinder. In: Razvitie nauchno-innovatsionnogo potentsiala agrarnogo proizvodstva: problemy, tendentsii, puti resheniya [Development of the Scientific and Innovative Potential of Agricultural Production. Problems, Trends, Solutions: Proceedings of an International Scientific and Practical Conference]. Tver SAA Publ., Tver, 2022, 337–339. (In Russian).
  12. Poltorykhin, N.N., Nikiforov, M.V., and Panov, Yu.A. Analysis of malfunctions and their causes in diesels. In: Innovatsionnyye tekhnologii v APK: problemy i perspektivy [Innovative Technologies in Agriculture. Problems and Prospects: Materials of International Scientific and Practical Conference]. Tver SAA Publ., Tver, 2021, 218–222. (In Russian).
  13. Marley, C.J. and Woods, D.С. A comparison of design and model selection methods for supersaturated experiments. Computational Statistics and Data Analysis, 2010, 54 (12), 3158–3167. DOI: 10.1016/j.csda.2010.02.017.
  14. Pavlik, A.V., Dergachev, V.A., Saveliev, A.S., and Anikin, A.N. Automation of multifactorial experiment carrying out. Sovremennaya Tekhnika i Tekhnologii, 2014, 6 (34), 25. (In Russian).
  15. Dzhasheyev, K.A.M. and Dzhasheyeva, Z.A.M. Nomogram method of the analysis of results of multifactorial experiment. Sovremennyye Naukoyemkie Tekhnologii, 2008, 8, 3. (In Russian).
  16. Skvortsov, V.S. and Lazarenko, O.I. Methodology for constructing a static regression multifactor model from experimental data with factor scheduling of a fiber optic gyroscope. Informatsionno-Tekhnologicheskiy Vestnik, 2021, 4 (30), 103–110. (In Russian).
  17. Reznik, N.A. Multifactorial experiment (technology and results). Obrazovatelnye Tekhnologii i Obshchestvo, 2012, 15, 1, 436–452. (In Russian).
  18. Denisov, V.I., Lisitsin, D.V., and Gavrilov, K.V. The design of an experiment in estimating the parameters ofa multifactor model from nonhomogeneous observations. Sib. Zh. Ind. Mat., 2002, 5 (4), 14–28. (In Russian).
  19. Koshevoy, N.D. and Sukhobrus, E.A. The comparative analysis of optimization methods of multilevel multifactor experiment plans. Radioelektronika, Informatika, Upravleniye, 2012, 1 (26), 53–58. (In Russian).
  20. Suyunbaev, Sh., Sarsembekov, B., Suleyev, B., and Kukesheva, A. Establishment of the Reynolds criterion for ultrasonic cleaning of exhaust gases of internal combustion engines. Proceedings of the University, 2022, 1 (86), 175–181. DOI: 10.52209/1609-1825_2022_1_175.


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Article reference

Poltorykhin N. N., Nikiforov M. V. A Method for Identifying the Optimal Operating Parameters of An Internal Combustion Engine Diagnostic Device // Diagnostics, Resource and Mechanics of materials and structures. - 2024. - Iss. 3. - P. 6-16. -
DOI: 10.17804/2410-9908.2024.3.006-016. -
URL: http://eng.dream-journal.org/issues/content/article_433.html
(accessed: 11/21/2024).

 

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