USE OF ELECTRO-HYDRAULIC ANALOGIES IN DIAGNOSING THE TECHNICAL CONDITION OF PETROL AND DIESEL ENGINES FOR INTERNAL COMBUSTION

Authors

  • B. Kononov
  • Yu. Musairova
  • O. Kuyan

DOI:

https://doi.org/10.26906/SUNZ.2019.3.038

Keywords:

internal combustion engines, electro-hydraulic analogies, dynamic links, hydraulic resistance, hydraulic inductance and hydraulic capacity, technical diagnostics of hydraulic systems

Abstract

This article clarifies the relationship between the phenomena occurring in hydraulic and electrical systems by comparing the processes of fluid flow in trunk pipelines and the processes occurring in power lines with distributed parameters. It turns out how it is possible to use the basic provisions of the electro-hydraulic analogy for the analysis of the technical condition of the lubrication systems, cooling and fuel supply of gasoline and diesel engines of autonomous and backup power plants and power plants of samples of armored and automotive vehicles. Hydraulic and electrical analogues are established, namely, fluid pressure and voltage, fluid flow and current, the hydraulic circle is represented as an electrical circuit, the concepts of hydraulic resistance, hydraulic inductance and hydraulic capacity are defined. It is proposed to consider hydraulic systems as dynamic links, changes in the values of which parameters should be used to assess the technical condition of gasoline or diesel internal combustion engines, using such physical quantities that characterize the operation of engine systems such as pressure and fluid flow, and determining the technical condition of these systems by identifying changes in the amplitude, frequency, phase and time characteristics of dynamic circuits created by hydraulic actuators resistances, hydraulic inductances and hydraulic capacitances. The purpose of this article is to substantiate the possibility of using electro-hydraulic analogies when evaluating the technical condition of diesel and gasoline engines. Using the method of electro-hydraulic analogy, which is based on the application of the theory of electrical circuits, for mathematical modeling of hydraulic systems, creating new or improved existing equipment of these systems, determining the features of their operation can significantly simplify the calculation of hydraulic circuits and also visually and simply perform an analysis of their work.

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References

Аронзон Н.З., Козлов В.А., Козобков А.А. Применение электрического моделирования для расчета компрессорных станций. – М.: Недра, 1969. – 178 с.

Костишин В.С. Моделирование режимов работы центробежных насосов на основе электрогидравлической аналогии. – М.: Ивано-Франковск. – ИФДТУНТ, 2000. – 115 с.

Дружинин Н.И. Метод электродинамических аналогий и его применение для исследования фильтрации. – М.: ГЭН, 1956. – 155 с.

Попов Д.Н. Нестационарные гидромеханические процессы. – М.: Машиностроение, 1982. – 239 с.

Kuchuk G., Nechausov S., Kharchenko, V. Two-stage optimization of resource allocation for hybrid cloud data store. International Conference on Information and Digital Technologies. 2015. P. 266-271. DOI: http://dx.doi.org/10.1109/DT.2015.7222982

Коваленко А.А. Сучасний стан та тенденції розвитку комп'ютерних систем об'єктів критичного застосування / А.А. Коваленко, Г.А. Кучук // Системи управління, навігації та зв’язку. – Полтава . ПНТУ, 2018. – Вип. 1(47). – С. 110-113. DOI : https://doi.org/10.26906/SUNZ.2018.1.110

Mohammed, A. S. Optimal Forecast Model for Erbil Traffic Road Data. ZANCO Journal of Pure and Applied Sciences. 2017. Vol. 29, No 5. P. 137–145. DOI: https://doi.org/10.21271/ZJPAS.29.5.15

Saravana, Balaji B,, Karthikeyan, N.K. and Raj Kumar, R.S., (2018), “Fuzzy service conceptual ontology system for cloud service recommendation”, Computers & Electrical Engineering, Vol. 69, pp. 435–446, DOI: https://doi.org/10.1016/j.compeleceng.2016.09.013

Gomathi B, Karthikeyan N K, Saravana Balaji B, “Epsilon-Fuzzy Dominance Sort Based Composite Discrete Artificial Bee Colony optimization for Multi-Objective Cloud Task Scheduling Problem”, International Journal of Business Intelligence and Data Mining, Volume 13, Issue 1-3, 2018, pages 247-266, DOI: https://doi.org/10.1504/IJBIDM.2018.088435

Dhivakar B., Saravanan S.V., Sivaram M., Krishnan R.A. Statistical Score Calculation of Information Retrieval Systems using Data Fusion Technique”. Computer Science and Engineering. 2012. Vol. 2, Issue 5. pp.43-45. doi: http://doi.org/10.5923/j.computer.20120205.01

Sivaram M., Yuvaraj D., Amin Salih Mohammed, Porkodi, V., ManikandanV. The Real Problem Through a Selection Making an Algorithm that Minimizes the Computational Complexity. International Journal of Engineering and Advanced Technology. 2018. Vol. 8, iss. 2. pp. 95-100.

G. Kuchuk, A. Kovalenko, I.E. Komari, A. Svyrydov, V. Kharchenko. Improving big data centers energy efficiency: Traffic based model and method. Studies in Systems, Decision and Control, vol 171. Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (Eds.). Springer Nature Switzerland AG, 2019. Pp. 161-183. DOI: http://doi.org/10.1007/978-3-030-00253-4_8

Kuchuk G., Kharchenko V., Kovalenko A., Ruchkov E. Approaches to selection of combinatorial algorithm for optimization in network traffic control of safety-critical systems. East-West Design & Test Symposium (EWDTS). 2016. Pp. 1-6. doi:https://doi.org/10.1109/EWDTS.2016.7807655.

G. Kuchuk, A. Kovalenko, V. Kharchenko, A. Shamraev, "Resource-oriented approaches to implementation of traffic control technologies in safety-critical I&C systems" in book: Green IT Engineering: Components Network and Systems Implementation, Springer International Publishing, vol. 105, pp. 313-338, 2017.

Атабеков Г.И. Теоретические основы электротехники. Часть 1. – М.: Энергия, 1966. – 320 с.

АС СССР №352169. Способ оценки технического состояния двигателя внутреннего сгорания. М.Кл3 . G01М 15/00, 1972 г.

Льюис Э., Стерн. К. Гидравлические системы управление. – М.: Мир, 1966. – 394 с.

АС СССР №896466 Способ оценки технического состояния двигателя внутреннего сгорания. Б.Т. Кононов, К.Г. Сергеев, В.К. Терещенков, В.И. Тимошкин, Ю.Д. Шевцов М.Кл3 . G01М 15/00, от 13.05.1980, опубликовано 07.01.1982 бн.№1

Сторожев В.Н. Определение сроков службы масла в судовых дизелях с помощью автомата Двигателестроение, 1980, №3, с. 40-42.

АС СССР №966525 Способ оценки технического состояния двигателя внутреннего сгорания. Б.П. Байков, В.Т. Егоркин, Б.Т. Кононов, В.З. Ройк, К.Г. Сергеев, Р.З. Тараховский, Ю.Д. Шевцов. М.Кл3 . G01М 15/00, от 03.04.1981, опубликовано 15.10.1981 бн.№38.

Published

2019-06-21