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Analysis of the Possibility of Using Neural Networks to Monitor the Technical Efficiency of Diesel Engines During Operation

Tucki Karol, Orynycz Olga, Świć Antoni, Wasiak Andrzej, Mruk Remigiusz, Gola Arkadiusz

Advances in Science and Technology. Research Journal

2023

Vol. 17, no 6

1--15

The aim of the research was to analyse the possibility of using neural networks to determine the parameters of the chemical composition of exhaust gases as a function of engine performance parameters obtained from the on-board diagnostics system such as crankshaft speed and engine load index. The subject of the study was a Fiat Panda car equipped with a 1.3 Multijet diesel engine and powered by pure diesel. The tests used the MAHA MET 6.3 exhaust gas analyser and the on-board diagnostics system OBD II. The obtained values of NOx,O2,CO2 and PM measured behind the DPF were analysed. For the purpose of building a neural network model, preliminary studies were carried out in non-urban traffic (high-speed route). Based on the data obtained, processes of learning neural network structures with approximate properties with backward propagation of errors were carried out. Subsequently, tests were carried out on the operational parameters of the vehicle and the chemical composition of exhaust gases in urban traffic. Analysis of the obtained values of the average parameters obtained during the measurement and obtained on the basis of the prepared neural models allows to determine the relative differences at the level of not more than 10 percent.

Hydrogen Enriched Hydrocarbons as New Energy Resources – As Studied by Means of Computer Simulations

Wasiak Andrzej, Orynycz Olga, Tucki Karol, Świć Antoni

Advances in Science and Technology. Research Journal

2022

Vol. 16, no 5

78--85

During several recent years an increasing interest concerning behavior of various gaseous or liquid hydrocarbons mixtures with neat gaseous hydrogen is observed. The phase equilibria as well as flow properties have been studied and some practical implementations indicated. The main practical idea consists in a possibility to use such mixtures as a replacement for pure hydrocarbons actually used as the energy source. Application of hydrogen enriched mixtures seem to be a temporary solution for gradual decarbonization of energy resources. The advantage of such approach may consist in much smaller requirements for investment in various aspect of infrastructure needed for handling the fuels. The present work is devoted to computer simulation of carbon dioxide emissions for several scenarios based on different compositions of hydrogen mixtures with hydrocarbons. The simulations include estimation of calorific value of the mixture and composition of exhaust gases emitted after its combustion. The simulation, based on s.c. logistic function, evaluates several variants of time dependence of new fuels implementation, and consequently time dependence of changes in composition of emissions to atmosphere. The simulation can be used for choosing the ways of practical implementation management.