Abstract
Design improvement of motor-and-tractor internal combustion engines is aimed at differentiating the operating parameters of the lubrication system depending on the change in the operating modes and conditions, which increase in the precision of parts manufacturing, reduction of difference tolerances of operating process parameters and use of microprocessor control systems. Up to 20% of engine failures are failures connected with the wear of crankshaft friction bearings. Their known diagnostic methods have significant drawbacks: the need to take the engine out of operation, large time expenditures for diagnostics, impossibility of in-place determining the technical status of some elements. Today, the automotive industry is significantly ahead of the production of diagnostic tools. There appear concepts and models of machines, for which it is not enough to use low-sensitive pressure sensors. For such models, it is recommended to control pressure pulsations in the ICE oil line to determine the technical status and lifetime of internal combustion engines. When monitoring the technical status of main bearings, the diagnostics is performed at the crankshaft speed n = 880 , min−1, when using the complex for diagnosing crank-and-rod mechanisms and mechanisms of the lubrication system. The diagnostic parameter is the difference of minimum pressure amplitudes when the bearing operates through a cycle, with and without load.
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Hajari SC (1996) Diagnosis and repair of excessively emitting vehicles. J Air Waste Manag Assoc 46(10):940–952. https://doi.org/10.1080/10473289.1996.104675292
Chuepeng S, Saipom S (2018) Lubricant thermo-viscosity effects on turbocharger performance at low engine load. Appl Therm Eng 139:334–340
Nelson DA (2018) Development of a non-contacting mechanical seal for high performance turbocharger applications. In: ASME Turbo Expo: Turbomachinery Technical Conference and Exposition, Oslo, Norway, June 2018, vol 07B. https://doi.org/10.1115/gt2018-77126
Gritsenko AV, Zadorozhnaya EA, Shepelev VD (2018) Diagnostics of friction bearings by oil pressure parameters during cycle-by-cycle loading. Tribol Ind 40(2):300–310. https://doi.org/10.24874/ti.2018.40.02.13
Chen Y, Sun Y, Yang D (2017) Investigations on the dynamic characteristics of a planar slider-crank mechanism for a high-speed press system that considers joint clearance. J Mech Sci Technol 31(1):75–85. https://doi.org/10.1007/s12206-016-1209-z
Harnoy A (2003) Bearing design in machinery: engineering tribology and lubrication. Marcel Dekker, New York
Mishra PC (2013) Modeling for friction of four stroke four cylinder in-line petrol engine. Tribol Ind 35(3):237–245
Gritsenko AV, Kukov SS, Tsyganov KA, Gorbunov AV (2013) A method for determining the technical state of an internal combustion engine and an electronic device for its implementation. Russia Patent 2474715 RUG01 M 15/00, 2011141374
Nikolakopoulos P, Zavos A (2015) Slew bearings damage detection using hilbert huang transformation and acoustic methods. Tribol Ind 37(2):170–175
Sangha MS, Gomm JB, Dingli Yu (2008) Neural network fault classification of transient data in an automotive engine air path. Int J Modell Identif Contr 3(2):148–155. https://doi.org/10.1504/ijmic.2008.019352
Ünlü BS, Atik E (2007) Determination of friction coefficient in journal bearings. Mater Des 28(3):973–977. https://doi.org/10.1016/j.matdes.2005.09.02
Phung VT, Pacas M (2017) Sensorless harmonic speed control and detection of bearing faults in repetitive mechanical systems. In: 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC—ECCE Asia 2017, pp 1646–1651. https://doi.org/10.1109/ifeec.2017.7992294
Jing G, Zhang X, Wang B et al (2017) Multiple-axle fatigue analysis of a star engine master conrod. Neiranji Gongcheng. Chin Intern Combust Engine Eng 38(1):102–108. https://doi.org/10.13949/j.cnki.nrjgc.2017.01.017
Plaksin M, Gritsenko AV, Lukomsky KI et al (2014) Development of methods of test diagnostics of working capacity of systems of fuel and lubrication of internal combustion engines. Agrarian Bull Urals 7(125):53–58
Mǎnescu B, Ionuţ D, Nicolae-Doru et al (2017) Aspects in the synthesis of a variable compression ratio mechanism. IOP Conf Ser: Mater Sci Eng 252(1). https://doi.org/10.1088/1757-899x/252/1/012075
Zadorozhnaya EA, Cherneyko SV, Kurochkin MI et al (2015) A study the axial and radial rotor stability of the turbo machinery with allowance the geometry of the surface and properties of the lubricating fluid. Tribol Ind 37(4):445–463
Levanov IG, Zadorozhnaya EA, Dudnikov AL (2015) Methods of assessing the resource of the crankshaft bearing of internal combustion engine based on the calculation of hydro-mechanical characteristics. Tribol Ind 37(3):360–365
Nikolic N, Torovic T, Antonic Z (2012) A procedure for constructing a theoretical wear diagram of IC engine crankshaft main bearings. Mech Mach Theory 58:120–136. https://doi.org/10.1016/j.mechmachtheory.2012.07.009
Gritsenko AV, Kukov SS (2010) Method of in-place diagnostics of the degree of wear of bearings of an internal combustion engine. Russia Patent 2399898 RU G 01 M 15/09, 2009123720
Kimmich F, Schwarte A, Isermann R (2005) Fault detection for modern diesel engines using signal- and process model-based methods. Control Eng Pract 13(2):189–203. https://doi.org/10.1016/j.conengprac.2004.03.002
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The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0011.
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Gritsenko, A.V., Shepelev, V.D., Karpenko, A.G. (2020). Monitoring Technical Status of Engine Bearings by Pressure Parameters in Central Oil Line. In: Radionov, A., Kravchenko, O., Guzeev, V., Rozhdestvenskiy, Y. (eds) Proceedings of the 5th International Conference on Industrial Engineering (ICIE 2019). ICIE 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-22041-9_122
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