Effect of Gasoline Fumigation on Diesel Engine Performance and Emissions

Ou, Li Jun; Wang, Chun Mei; Qian, Ye Jian; Wei, Huang; Zhu, Su Wei; Sun, Jun

doi:10.4028/www.scientific.net/amm.130-134.1744

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…NOx emissions decrease about 1.1-14.6% for GF with diesel when compared to diesel at all loads is exposed in Figure 6. This is owing to the higher specific heat of the gasoline-air mixture than that of the air inside the combustion chamber, where the gasoline consumed a larger amount of heat energy and thus resulted in longer ID and reduced in-cylinder temperature (Ou et al, 2012, Hoseinpour et al, 2018. The addition of nano Al2O3 additive with diesel and GF led to an increase of NOx emission as compared to neat diesel and GF without Al2O3 nano additive diesel.…”

Section: Nox Emissionsmentioning

confidence: 99%

“…In-cylinder Pressure with Crank Angle The GF with diesel has a 9.86% higher peak pressure value than neat diesel which is exposed in Figure 8. The fumigation of the gasoline could increase the quantity of the premixed fuel inside the combustion chamber (Ou et al, 2012). This resulted in an increased ID period which provides more time to make a homogeneous mixture before start of combustion (Wang et al, 2020).…”

Section: Combustion Characteristicsmentioning

confidence: 99%

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Effect of Aluminium Oxide Nano Additive on Diesel along with Gasoline Fumigation in Single Cylinder Diesel Engine

Tamilvanan

Bharathiraja

Balamurugan³

et al. 2021

JER is an international, peer-reviewed journal that publishes f

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The present investigation mainly focuses on overcoming the limitations of gasoline fumigation (GF) in diesel engines by adding up nano fuel additives. Experiments are conducted to ascertain the engine working characteristics in a single-cylinder, four-stroke diesel engine using aluminum oxide (Al2O3) nano additives blended diesel as the main injection fuel along with GF as an inducted fuel. GF was achieved by controlling the electronic injector fitted at the intake manifold using open ECU software. Fuel map for GF was determined based on experiments with three divergent fumigation rates of 10%, 20%, and 30% based on energy consumption and optimized using the design of experiments. The optimization results showed 10% fumigation resulted in better performance and emission characteristics and it is selected for this present investigation. Fumigation results showed a decrease in brake thermal efficiency (BTE) at low and medium loads; increase at high loads.The two different mass fractions of 25 ppm and 50 ppm Al2O3 nano liquid are blended with diesel. Compared to GF with diesel, GF along with 25 and 50ppm Al2O3 nano additives blended diesel showed an increased BTE, maximum in-cylinder pressure, cumulative heat release rate; and reduced smoke opacity, CO, and unburned HC emissions at overall operating conditions. As the dosage level of Al2O3 increases from 25 to 50 ppm results in further enhancement of all working parameters except NOx emission. Finally, the addition of an Al2O3 nano additive is a suitable solution to overcome the limitations of GF in the CI engine.

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Section: Nox Emissionsmentioning

confidence: 99%

Section: Combustion Characteristicsmentioning

confidence: 99%

Effect of Aluminium Oxide Nano Additive on Diesel along with Gasoline Fumigation in Single Cylinder Diesel Engine

Tamilvanan

Bharathiraja

Balamurugan³

et al. 2021

JER is an international, peer-reviewed journal that publishes f

View full text Add to dashboard Cite

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Developing the Automatic System for the Multi-Point Fumigation of Air Charge in the Diesel Engine

Рыблов¹,

Ukhanov²,

Ukhanov³

2018

VMU

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Introduction. The study deals with enhancement of an automotive diesel engine duty cycle through fumigating air charge by the certain dose (10−20 %) of hydrocarbon activator (alcohol, gasoline, kerosene, biodiesel, etc.). This is a relevant problem in engineering. In spite of its effectiveness, this method has not yet been widely applied to machinery. The existing mechanical devices for fumigating air charge do not provide the exact dosage of activator and its timely supply in a diesel engine at different operating modes. Materials and Methods. The solution for this problem may be the development of an automatic system for the multi-point fumigation of air charge. This device performs the injection of activator into the diesel engine intake manifold branches with the help of electromagnetic injectors managed by the electronic control unit. The system should provide the injectors operation by the algorithm for the cylinders firing order and calculate the injection duration for the adjusted activator dose. For the programming of the Electronic Control Unit, the injection duration of the exact activator dose was theoretically calculated. The algorithm of electromagnetic injectors operation was substantiated (for D-243 tractor diesel engine by the example). Results. To implement the multi-point fumigation of air charge, it was determined that depending on the activator dose and the engine speed and load mode, the cyclic dose of activator amounts may be from 1 mg per cycle to 13 mg per cycle, while the activator injection duration is from 0.27 ms to 3.5 ms. For the practical realization of the multi-point fumigation of air charge for D-243 diesel engine of MTZ-82.1 tractor the automatic system was designed. The system consists of an activator tank, filter, electric pump, rail, pressure regulator, electromagnetic injectors, electronic control unit, fuel consumption sensor, and sensor of phase and crankshaft speed. Conclusions. The device solves the problem of the automatic fumigation of air charge at the intake stroke and helps to improve power, fuel economy and environmental indicators of the automotive diesel engines. Keywords: diesel engine, fumigation of air charge, activator, system, electromagnetic injector, electronic control unit, sensor For citation: Ryblov M. V., Ukhanov D. A., Ukhanov A. P. Developing the Automatic System for the Multi-Point Fumigation of Air Charge in the Diesel Engine. Vestnik Mordovskogo universiteta = Mordovia University Bulletin. 2018; 28(4):523–536. DOI: https://doi.org/10.15507/0236-2910.028.201804.523-536 Acknowledgements: The authors thank the engineer of PNIEI company A. V. Grunyushkin for help in invention of Electronic Control Unit and in programming of microcontroller; the President of GAKS-Armservis Research and Manufacturing Association, D.Sc. (Engineering), professor S. V. Seynov for help in manufacturing of the modified intake manifold for diesel engine. Special thanks to anonymous reviewers for the objective analysis of the article.

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Towards artificial intelligence based diesel engine performance control under varying operating conditions using support vector regression

Naradasu¹,

Jyothirmai²,

Ramesh³

2013

THERM SCI

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Diesel engine designers are constantly on the look-out for performance enhancement through efficient control of operating parameters. In this paper, the concept of an intelligent engine control system is proposed that seeks to ensure optimized performance under varying operating conditions. The concept is based on arriving at the optimum engine operating parameters to ensure the desired output in terms of efficiency. In addition, a Support Vector Machines based prediction model has been developed to predict the engine performance under varying operating conditions. Experiments were carried out at varying loads, compression ratios and amounts of exhaust gas recirculation using a variable compression ratio diesel engine for data acquisition. It was observed that the SVM model was able to predict the engine performance accurately

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Effect of Gasoline Fumigation on Diesel Engine Performance and Emissions

Cited by 3 publications

References 7 publications

Effect of Aluminium Oxide Nano Additive on Diesel along with Gasoline Fumigation in Single Cylinder Diesel Engine

Effect of Aluminium Oxide Nano Additive on Diesel along with Gasoline Fumigation in Single Cylinder Diesel Engine

Developing the Automatic System for the Multi-Point Fumigation of Air Charge in the Diesel Engine

Towards artificial intelligence based diesel engine performance control under varying operating conditions using support vector regression

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