Development of a Fuel Injected Two-Stroke Gasoline Engine

Plohberger, Diethard; Mikulic, Leo A.; Landfahrer, Klaus

doi:10.4271/880170

Cited by 38 publications

(5 citation statements)

References 16 publications

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“…Relative to carbureted fuel systems, the main mechanisms by which EFI has helped to reduce exhaust emissions are reduced wall wetting, improved fuel atomization, greater flexibility in air/fuel (A/F) ratio control and improved unit‐to‐unit repeatability. In addition to reduced exhaust emissions, EFI has also introduced other benefits such as reduced brake specific fuel consumption, increased full‐load output and improved drivability (Norbye, 1985; Plohberger et al , 1988). The quantity of fuel to be injected is determined by the electronic control module (ECM) by setting up the pulse width depending upon the different signals it receives from various sensors such as MAP sensor, TPS, etc.…”

Section: Electronic Fuel Injectionmentioning

confidence: 99%

Control of cyclic variations by computing the cycle‐to‐cycle air‐fuel ratio by neuro fuzzy technique

Robinson¹,

Dhandapani²

2007

Engineering Computations

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PurposeThe problem of cyclic variation has been an interesting area of research and has been investigated by many researchers. It is more severe in the case of two‐stroke engines compared with four‐stroke engines. One of the reasons for these cycle‐to‐cycle variations is the variations in the air‐fuel ratios of individual cycles and, if these values of individual cycle air‐fuel ratios are available by some means, they can be used for controlling the cyclic variations. The purpose of this paper is to find a technique to predict the air‐fuel ratio of the individual cycles and use the same for reducing cyclic variations.Design/methodology/approachIn this work, a neuro‐fuzzy model was developed using MATLAB software to compute the air‐fuel ratio of the individual cycles based on the relationship between the air‐fuel ratio and the combustion parameters such as those indicating mean effective pressure (IMEP), crank angle occurrence of peak pressure, and angles of different percentages of heat releases. In‐cylinder pressure traces of 1,000 continuous cycles were measured using a Personal Computer (PC)‐based data acquisition system and an investigation was carried out. The readings were taken for two modes of operations, namely gasoline carburetion and electronic gasoline injection. The engine was loaded by an eddy current dynamometer. The air‐fuel ratio was varied from rich to lean by adjusting the fuel quantity in the carburetion mode and adjusting the pulse width (measure of quantity of fuel to be injected) in the injection mode, at constant throttle. The cyclic variation was identified by the variations in the peak pressures and IMEPs of the individual cycles. The stored data were given as input to the developed neuro‐fuzzy model and, using SIMULINK, the air‐fuel ratios of individual cycles were obtained. These predicted values are fed to the electronic control module (ECM) (meant for injecting the fuel) for refining the pulse width to get cyclic variations reduced.FindingsResults show that cyclic variation increases when the mixture becomes lean. It was also found that cyclic variation in an injected engine was less in comparison with the carbureted engine, as the precise control of air‐fuel mixture was possible in the case of the injected engine.Research limitations/implicationsThe technique used in this work may be modified to give more precise pulse width by incorporating various other parameters like exhaust temperature, etc. Future research may be focused to incorporate this system in a moving vehicle to get more fuel efficiency and fewer emissions.Practical implicationsThe design of vehicle and engine should be slightly modified to incorporate the ECM and various sensors.Originality/valueThe originality in this paper is that a new technique was developed to find the air‐fuel ratio of individual cycles. This will be useful for the engine manufacturers and for those researchers doing research on the engine side.

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Section: Electronic Fuel Injectionmentioning

confidence: 99%

Control of cyclic variations by computing the cycle‐to‐cycle air‐fuel ratio by neuro fuzzy technique

Robinson¹,

Dhandapani²

2007

Engineering Computations

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“…The fuel-air mixture, which contains lower percentage of combustion products, can be used at combustion. In the Fig.1 there is the design of exhaust system with two-stroke engine in the section [4]. The aim of this article was established in consequence of the described theoretical knowledge about combustion products oscillation in an exhaust system: "to increase the output of two-stroke combustion engine by means…”

Section: Introduction and Aimsmentioning

confidence: 99%

Increasing of Power Output of Racing Motorcycle Engine using of Exhaust System Optimisation

Bigoš¹,

Puškár²

2011

AMS

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Is a university professor nominated in the branch of science "Transport and Handling Engineering". He is a head of the Department of Machine Design, Transport and Logistics at the Faculty of Mechanical Engineering, Technical University of Košice. He graduated at the Faculty of Mechanical Engineering of the former Technical College in Košice (1973). Dissertation thesis he defended in 1980 and in 1983 he was designated as a docent (associate professor). In 1991 he defended his inaugural dissertation at the Technical University of Košice. In the framework of his study stages he visited TU Miskolc, VH Dresden (1981), Polytechnika Rzeszowska (1983), Ruhr Universität Bochum (1989), Imperial College London (1993), TU Budapest (1997). He is a vice-chairman of the "Common professional commission for PhD.-study" in the branch of study "Transport Machines and Machinery" and he is a member of professional commission in the branch "Forensic Engineering", too. He is also member of several advisory boards of domestic and foreign professional journals, as well as he is a guarantor of international and domestic conferences about transport machines and logistics.

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“…Both of these drawbacks in a conventional mixture-scavenged two-stroke engine can be largely attributed to the fact that here all the three important processes, namely scavenging, mixture preparation and charge injection, are coupled and carried out simultaneously. Several attempts such as strati ed scavenging (scavenging fully or partially by air alone [1,2]) and direct fuel injection [3,4] have been made to control the open cycle losses. Separating the task of scavenging from mixture preparation and charge injection is the key consideration in solving this problem.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional simulation of the air-flow and fuel transport process in the air-assisted injection system of a new, low-emission two-stroke engine

Bakshi

Ravikrishna

2003

Proceedings of the Institution of Mechanical Engineers, Part D:

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The aim of this work is to model the air and fuel ow process in the air-assisted injection system of a new, low emission two-stroke engine with a view to determine the critical features in the system that in uence the engine performance. A computational method for multidimensional, compressible, two-phase ow using a Lagrangian-Eulerian approach is developed and used for this analysis. Good agreement is observed between computations and measurements of fuel consumption and pressure recovery in the injection system of the current prototype. The results show a strong dependence of the typical air ow characteristics of the injection system on engine speed. Signi cant fuelling after inlet port closure, higher fuel transport e ciency at low speeds and a substantial impingement of liquid fuel on the solid walls of the injection system are also evident from the results of the computations. This suggests a delayed transient response and strong speed dependence of the quality of mixture preparation in this system, which explains certain observed trends in the current prototype of the engine. NOTATIONtransport e ciency of fuel from throttle body to the pneumatic pump l control volume length n droplet number density inside the control volume P o ambient pressure P t pressure at the ori ce tip P t P o fuelling forcing function at the ori ce tip r detachment radius from the fuel ori ce R radius of the fuel ori ce U gas phase velocity at the ori ce tip U av average ow velocity at the intake V droplet phase velocities V g gas phase velocity m dynamic viscosity of the gas phaseThe MS was

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Development of a Fuel Injected Two-Stroke Gasoline Engine

Cited by 38 publications

References 16 publications

Control of cyclic variations by computing the cycle‐to‐cycle air‐fuel ratio by neuro fuzzy technique

Control of cyclic variations by computing the cycle‐to‐cycle air‐fuel ratio by neuro fuzzy technique

Increasing of Power Output of Racing Motorcycle Engine using of Exhaust System Optimisation

Multidimensional simulation of the air-flow and fuel transport process in the air-assisted injection system of a new, low-emission two-stroke engine

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