Modeling of Diesel Engine Fuel Systems Reliability When Operating on Biofuels

Zhuravel, Dmytro; Samoichuk, Kyrylo; Petrychenko, Serhii; Bondar, Andrii; Hutsol, Taras; Kuboń, Maciej; Niemiec, Marcin; Mykhailova, Lyudmyla; Gródek-Szostak, Zofia; Sorokin, Dmytro

doi:10.3390/en15051795

Energies

2022

DOI: 10.3390/en15051795

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Modeling of Diesel Engine Fuel Systems Reliability When Operating on Biofuels

Dmytro Zhuravel

Kyrylo Samoichuk

Serhii Petrychenko

et al.

Abstract: One of the main trends in the development of modern engine building is the use of biodiesel fuel, which can lead to a decrease in the reliability of engines that are not adapted to it. However, at present there is no general method for determining the reliability of fuel systems of internal combustion engines. In this paper, a reliability model of engine fuel systems when operating on biofuel has been developed. Comprehensive indicators for assessing the reliability of diesel engine fuel systems are the coeffi… Show more

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Cited by 7 publications

References 46 publications

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Production of waste tyre pyrolysis oil as the replacement for fossil fuel for diesel engines with constant hydrogen injection via air intake manifold

Wu,

Yuan,

Xia

et al. 2024

Fuel

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Production of waste tyre pyrolysis oil as the replacement for fossil fuel for diesel engines with constant hydrogen injection via air intake manifold

Wu,

Yuan,

Xia

et al. 2024

Fuel

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Analytical study of the turns of bridge machines

Beloev,

Kuvachоv,

Adamchuk

et al. 2023

Tehnìka ta energetika

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The research is devoted to the topical problem of the efficiency of turning wide-span bridge machines in the track farming system. The research aims to study the curvilinear movement along the soil traces of a constant technological track of an arbitrary multi-supported bridge machine, considering its design and method of turning, parameters, modes of movement and loading. Experimental studies were conducted, involving the use of a modern strain track and specially designed equipment for electrical measurements of non-electrical quantities. The processing of research data was carried out on a personal computer. A methodology for compiling private models of turning off the bridge vehicle moving along the soil trace of the constant technological track was developed. As a result of the joint solution problem of the bridge machine turning, it is possible to determine all output parameters of curvilinear motion: trajectory, tractive forces, turning radius, slipping, and actual speeds. The force interaction of the bridge machine’s undercarriage with the soil trace of a constant track is presented based on flat sliding with a variable anisotropic friction coefficient of adhesion φyd, depending on the properties of the track. As the radius of the wheel, the width of its tire and the air pressure in it, as well as the vertical load that acts on it, the coefficient of traction of the bridge machine φyd increases, which may cause higher slippage. The adequacy of the model of stationary turning of the overhead machine is confirmed by experimental estimation of the resistance coefficient of the power onboard turning. The convergence of the theoretical and experimental values of this coefficient is within the confidence interval ± σ in the whole investigated weight range of the bridge machine prototype. This allows us to assess the influence of design parameters and schemes on the turning characteristics as early as the design stage of a new bridge machine, thus optimizing the design process. The results of the research can be applied to the organization of the process of turning the existing models of bridge machines

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Application of a Selected Pseudorandom Number Generator for the Reliability of Farm Tractors

2022

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Knowledge of the use-to-failure periods of process equipment, including agricultural vehicles, is essential for the determination of their durability and reliability. Obtaining any empirical data on this issue is difficult and sometimes impossible. Experimental studies are costly and time-consuming. Manufacturers are usually reluctant to share such data, claiming that the information is classified for the sake of their companies. The purpose of this study was to compare empirical data with data generated using adequate statistical tools. The newly generated and very similar in value pseudorandom numbers were obtained by simulations using the Monte Carlo, Latin hypercube sampling and Iman-Conover methods. Reliability function graphs obtained from the generated time-series (use-to-failure periods) with matching Weibull distribution had very similar shape and scale parameters. They were are also comparable to parameters from experimental data extracted from a Polish Zetor agricultural tractor service station. The validation of the applied methods was limited as it was carried out only on the basis of the available data. Analysis of line graphs of cumulative deviations of the values of use-to-failure periods (times-to-fail) generated against empirical times-to-fail indicated that the best method in the studied case was the Monte Carlo method.

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Modeling of Diesel Engine Fuel Systems Reliability When Operating on Biofuels

Cited by 7 publications

References 46 publications

Production of waste tyre pyrolysis oil as the replacement for fossil fuel for diesel engines with constant hydrogen injection via air intake manifold

Production of waste tyre pyrolysis oil as the replacement for fossil fuel for diesel engines with constant hydrogen injection via air intake manifold

Analytical study of the turns of bridge machines

Application of a Selected Pseudorandom Number Generator for the Reliability of Farm Tractors

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