Model Issues Regarding Modification of Fuel Injector Components to Improve the Injection Parameters of a Modern Compression Ignition Engine Powered by Biofuel

Eliasz, Jacek; Osipowicz, Т.; Abramek, K. F.; Mozga, Łukasz

doi:10.3390/app9245479

Cited by 15 publications

(12 citation statements)

References 21 publications

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“…Analysis conducted researches there is possibility to predict for modified injector nozzles injection characteristics using neural networks or polynomial methods. Similar researches has been presented in papers [26,27]. Authors proposed modifications the needle in fuel injector nozzle.…”

Section: Introductionsupporting

confidence: 60%

Comparing Polynomials and Neural Network to Modelling Injection Dosages in Modern CI Engines

Osipowicz¹,

Abramek²,

Mozga³

2022

Applied Sciences

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The article discusses the possibility of using computational methods for modelling the size of the injection doses. Polynomial and artificial intelligence methods were used for prediction. The aim of the research was to analyze whether it is possible to model the operating parameters of the fuel injector without knowing its internal dimensions and tribological associations. The black box method was used to make the model. This method is based on the analysis of input and output parameters and their correlation. The paper proposes a mathematical model determined on the basis of a polynomial and a neural network based on input and output parameters. The above models make it possible to predict the amount of fuel injection doses on the basis of their operating parameters. Modelling was performed in the Matlab environment. Calculating methods could support the diagnosis processes of fuel injectors. Fuel injection characteristic is non-linear. Study shows that it is possible to predict injection characteristic with high matching using polynomial and neural network. That way accelerates fuel injector work parameters research process. Fuel injector test basis on known its work areas. Mathematical modelling can calculate all injection area using few parameters. To modelling fuel injection dosages by neural network have been used back propagation and Levenberg—Marquardt algorithms.

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Section: Introductionsupporting

confidence: 60%

Comparing Polynomials and Neural Network to Modelling Injection Dosages in Modern CI Engines

Osipowicz¹,

Abramek²,

Mozga³

2022

Applied Sciences

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“…Engine studies were conducted as part of the initial analysis to see if there is a possibility of improving the eco-parameters of the self-ignition engine with the common rail system by applying the innovative changes in the engine driving system proposed by the authors. During the standard measurement of fuel injection doses for a pressure of 135 MPa, the distribution of temperatures on the atomizers, standard and modified, has been examined according to [19]. We also performed a visualization of the stream of injected fuel as well as studies on the engine test beds for the engine Fiat 1.3 JTD, during which the emission of nitrogen oxides, carbon oxides, and smoke was measured.…”

Section: Simulation Studies' Resultsmentioning

confidence: 99%

“…Catalysts 2020, 10, x FOR PEER REVIEW 7 of 13 the atomizers, standard and modified, has been examined according to [19]. We also performed a visualization of the stream of injected fuel as well as studies on the engine test beds for the engine Fiat 1.3 JTD, during which the emission of nitrogen oxides, carbon oxides, and smoke was measured.…”

Section: Simulation Studies' Resultsmentioning

confidence: 99%

Fuel Pretreatment Systems in Modern CI Engines

et al. 2020

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The article concerns the possibility of using a fuel pretreatment system in modern compression ignition CI engines, the main task of which is the reduction of toxic emissions in the form of exhaust gases. This fuel pretreatment system consists of a catalytic reactor used in common rail (CR), and a modified fuel atomizer into spiral‒elliptical channels covered with catalytic material. In the system presented here, platinum was the catalyst. The catalyst’s task is to cause the dehydrogenation reaction of paraffin hydrocarbons contained in the fuel to create an olefin form, with the release of a free hydrogen molecule. In the literature, the methods of using catalysts in the exhaust systems of engines, or in combustion chambers, injection pumps, or fuel injectors, are known. However, the use of a catalytic reactor in the CR system in a high-pressure fuel atomizer rail is an innovative project proposed by the authors. Conditions in the high-pressure CR system are favorable for the catalyst’s operation. In addition, the spiral‒elliptical channels made on the inoperative part of the fuel atomizer needle increase the flow turbulence and contact surface for the catalyst.

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“…The diagnosis of this fault took a long time because the tested injector was working properly during the standard test. In the paper [2], the authors proposed a method of diagnosing modern fuel injectors by analyzing the temperature of its body [3]. As a result of the leakage, the overflow dose increases, the liquid flow velocity inside the injector increases, which results in an increase in the areas of increased temperature leakage.…”

Section: Introductionmentioning

confidence: 99%

The use of neural network algorithms for modeling injection doses of modern fuel injectors

Abramek¹,

Osipowicz²,

Mozga³

2021

Combustion Engines

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The article presents the possibilities of using artificial intelligence methods to model the injection doses of a modern Common Rail (CR) fuel injector. The presented neural network solution belongs to the experimental models known as black boxes in mechatronics. The backpropagation algorithm and its Levenberg-Marquardt expansion were used for the simulation. The analysis showed that there is a good match between the measurements and the computational model. The proposed solution can be used in the processes of diagnosing not only elements of the injection equipment, but also the internal combustion engine. The paper presents the construction and operation of fuel injectors and the important role of precision pairs work.

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Model Issues Regarding Modification of Fuel Injector Components to Improve the Injection Parameters of a Modern Compression Ignition Engine Powered by Biofuel

Cited by 15 publications

References 21 publications

Comparing Polynomials and Neural Network to Modelling Injection Dosages in Modern CI Engines

Comparing Polynomials and Neural Network to Modelling Injection Dosages in Modern CI Engines

Fuel Pretreatment Systems in Modern CI Engines

The use of neural network algorithms for modeling injection doses of modern fuel injectors

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