Cycle Engine Modelling Of Spark Ignition Engine Processes during Wide-Open Throttle (WOT) Engine Operation Running By Gasoline Fuel

2012 ◽  
Vol 36 ◽  
pp. 012041
Author(s):  
M F Abdul Rahim ◽  
M M Rahman ◽  
R A Bakar
Keyword(s):  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Engine Operation

Combustion, Knock and Emission Characteristics of a Natural Gas Fuelled Spark Ignition Engine with Particular Reference to Low Intake Temperature Conditions

1975 ◽  
Vol 189 (1) ◽  
pp. 139-147 ◽  
Author(s):  
G. A. Karim ◽  
I. A. Ali
Keyword(s):  
Natural Gas ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Chamber Pressure ◽  
Exhaust Emission ◽  
Emission Characteristics ◽  
Engine Operation ◽  
Temperature Conditions ◽  
Ignition Limits ◽  
Combustion Knock

For various fuel-air mixtures and different compression ratios, the intake temperature was varied over the entire range of ***200°F (366K) down to − 100°F (200K) when employing a single cylinder spark ignited research engine fuelled with natural gas. Performance data such as knock and ignition limits the nature and extent of exhaust emission and chamber pressure cyclic variation were obtained. Means were then suggested for the interpretation of the above mentioned data in terms of engine operation on liquefied natural gas. The experimental work confirmed in general the attractive features of the use of natural gas as a fuel in a spark ignition engine operated under extremely cold intake temperature conditions and that emissions of pollutants were not significantly increased.

Effects of Blending Gasoline With Ethanol and Butanol on Engine Efficiency and Emissions Using a Direct-Injection, Spark-Ignition Engine

2009 ◽  
Author(s):  
Christopher Cooney ◽  
Thomas Wallner ◽  
Steve McConnell ◽  
Jeffrey C. Gillen ◽  
Clint Abell ◽  
...  
Keyword(s):  
Alternative Fuels ◽  
Direct Injection ◽  
Substantial Reduction ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Engine Operation ◽  
Advanced Biofuels ◽  
Engine Calibration ◽  
Combustion Behavior ◽  
Test Engine

The new U.S. Renewable Fuel Standard requires an increase of ethanol and advanced biofuels to 36 billion gallons by 2022. Due to its high octane number, renewable character and minimal toxicity, ethanol was believed to be one of the most favorable alternative fuels to displace gasoline in spark-ignited engines. However, ethanol fuel results in a substantial reduction in vehicle range when compared to gasoline. In addition, ethanol is fully miscible in water which requires blending at distribution sites instead of the refinery. Butanol, on the other hand, has an energy density comparable to gasoline and lower affinity for water than ethanol. Butanol has recently received increased attention due to its favorable fuel properties as well as new developments in production processes. The advantageous properties of butanol warrant a more in-depth study on the potential for butanol to become a significant component of the advanced biofuels mandate. This study evaluates the combustion behavior, performance, as well as the regulated engine-out emissions of ethanol and butanol blends with gasoline. Two of the butanol isomers; 1-butanol as well as iso-butanol, were tested as part of this study. The evaluation includes gasoline as a baseline, as well as various ethanol/gasoline and butanol/gasoline blends up to a volume blend ratio of 85% of the oxygenated fuel. The test engine is a spark ignition, direct-injection, (SIDI), four-cylinder test engine equipped with pressure transducers in each cylinder. These tests were designed to evaluate a scenario in terms of using these alcohol blends in an engine calibrated for pump gasoline operation. Therefore no modifications to the engine calibration were performed. Following this analysis of combustion behavior and emissions with the base engine calibration, future studies will include detailed heat release analysis of engine operation without exhaust gas recirculation. Also, knock behavior of the different fuel blends will be studied along with unregulated engine out emissions.

scholarly journals Quantitative, time-resolved detection of CH<sub>4</sub> concentrations in flows for injection analysis in CNG engines using IR absorption

2017 ◽  
Vol 6 (1) ◽  
pp. 185-198 ◽  
Author(s):  
Stephan Bauke ◽  
Kai Golibrzuch ◽  
Frank Rotter ◽  
Hainer Wackerbarth ◽  
Olaf Thiele ◽  
...  
Keyword(s):  
Alternative Fuels ◽  
Light Attenuation ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Infrared Light ◽  
Transport Sector ◽  
High Time Resolution ◽  
Ir Absorption ◽  
Engine Operation ◽  
Inlet Manifold

Abstract. The reduction of CO2 and other greenhouse gas emissions is an important driving force for the development of modern engines. Especially in the transport sector, the use of alternative fuels like methane, the main component of compressed natural gas (CNG), is an applied measure to achieve this goal. This work describes the development of an optical measurement system for accurate quantification of CH4 densities in gas flows based on broadband absorption of infrared light, i.e. non-dispersive IR absorption spectroscopy (NDIR). We demonstrate the capability of the system to achieve high time resolution as well as high measurement accuracy and precision. The optical set-up of the system is designed for usage at the inlet manifold of CNG-fuelled spark ignition engines. It allows for detailed analysis of the mixture formation during single engine cycles. CH4 densities can be determined by monitoring the infrared light attenuation around 3.3 µm caused by the ν3 anti-symmetric C–H-stretch vibration. We calculate the nonlinear relation between transmittance and CH4 density from absorption cross sections calculated from the HITRAN database. The theoretical transmittance signals are corrected for spectral influences of the bandpass filter, the detector sensitivity, the fibre transmittance and the emission spectrum of the light source in order to calculate CH4 densities directly from the measured transmittance. A calibration function corrects remaining differences between experimental and simulated values and improves the accuracy. We show that the sensor system is capable for determination of air–fuel ratios (λ-values) and demonstrate the dynamic quantification of a CH4 injection into a flow channel under various flow conditions. Furthermore, we present the first measurements with a prototype probe capable of measurements inside the inlet manifold of a four-stroke spark ignition engine. We validate the detection strategy in experiments with premixed gases using a modified inlet geometry and demonstrate its application under standard engine operation with port fuel injection while varying the injection parameters.

scholarly journals Preliminary tests on dual fuel spark ignition engine fuelled with methanol and gasoline

2008 ◽  
Vol 134 (3) ◽  
pp. 24-33
Author(s):  
Zdzisław STELMASIAK ◽  
Jerzy LARISCH ◽  
Janusz SEMIKOW
Keyword(s):  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Dual Fuel ◽  
Nitric Oxides ◽  
Alcohol Content ◽  
Engine Operation ◽  
Engine Efficiency ◽  
Comparative Results ◽  
Advantageous Effect ◽  
Valve Area

The paper presents a fuel system of a dual fuel spark ignition engine with a multipoint methanol and gasoline injection into the inlet valve area. The engine is fitted with double electronically controlled injectors. The system allows the engine operation on gasoline and methanol separately as well as combustion of the mixture of both fuels of any given alcohol content. The preliminary tests have been performed on a 4-cylinder spark ignition engine – Fiat 1100. The paper presents comparative results of the tests of an engine fuelled with gasoline and methanol. The performed tests showed an advantageous effect on the engine efficiency, the level of nitric oxides and hydrocarbons in the exhaust. A quick combustion of methanol increases the thermal load of the engine, which in turn may lead to an improper operation of the ignition system.

A Multiple-Zone Cycle Simulation for Spark-Ignition Engines: Thermodynamic Details

2001 ◽  
Author(s):  
Jerald A. Caton
Keyword(s):  
Combustion Process ◽  
Load Condition ◽  
Engine Performance ◽  
Thermodynamic Cycle ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Engine Operation ◽  
Part Load ◽  
Cycle Simulation ◽  
The Individual

Abstract A thermodynamic cycle simulation was developed for a spark-ignition engine which included the use of multiple zones for the combustion process. This simulation was used to complete analyses for a commercial, spark-ignition V-8 engine operating at a part load condition. Specifically, the engine possessed a compression ratio of 8.1:1, and had a bore and stroke of 101.6 and 88.4 mm, respectively. A part load operating condition at 1400 rpm with an equivalence ratio of 1.0 was examined. Results were obtained for overall engine performance, for detailed in-cylinder events, and for the thermodynamics of the individual processes. In particular, the characteristics of the engine operation with respect to the combustion process were examined. Implications of the multiple zones formulation for the combustion process are described.

scholarly journals Measurement of the air-to-fuel ratio inside a passive pre-chamber of a fired spark-ignition engine

2020 ◽  
Vol 5 (3-4) ◽  
pp. 147-157
Author(s):  
Nicolas Wippermann ◽  
Olaf Thiele ◽  
Olaf Toedter ◽  
Thomas Koch
Keyword(s):  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Engine Operation ◽  
Ratio Measurement ◽  
Fuel Ratio ◽  
Mixture Preparation ◽  
Fuel Delivery ◽  
Absorption Of Light ◽  
Mass Flows ◽  
Motored Engine

Abstract This paper investigates the local air-to-fuel ratio measurement within the pre-chamber of a spark-ignition engine by determining the absorption of light from hydrocarbons using an infrared sensor. The measurement was performed during fired and motored engine operation points and compared to the more common exhaust lambda measurements. The experiment provided data to compare the mixture preparation in a hot and cold environment of pre-chamber and main combustion chamber. The experiment also gives an indication regarding the possible use of a pre-chamber sensor in a motored engine at higher boost pressures and fuel mass flows, operation points that would overheat the sensor in a fired engine. The work also includes the analysis of the fuel delivery into the pre-chamber of a direct and indirect injection engine. Furthermore, pressure and temperature measurement within the pre-chamber provides information about the critical sensor environment and helps to understand the gas exchange between the two volumes.

Model-Based Dynamic In-Cylinder Air Charge, Residual Gas and Temperature Estimation for a GDI Spark Ignition Engine Using Cylinder, Intake and Exhaust Pressures

2020 ◽  
Author(s):  
Amir Khameneian ◽  
Xin Wang ◽  
Paul Dice ◽  
Mahdi Shahbakhti ◽  
Jefferey D. Naber ◽  
...  
Keyword(s):  
Steady State ◽  
Gas Flow ◽  
Transient Behavior ◽  
Spark Ignition ◽  
Ideal Gas ◽  
Spark Ignition Engine ◽  
Exhaust Gas ◽  
Engine Operation ◽  
Trapped Air ◽  
Residual Gas

Abstract The in-cylinder trapped air, residual gas, and temperature directly impact Spark Ignition (SI) engine operation and control. However, estimation of these variables dynamically is difficult. This study proposes a dynamic cycle-by-cycle model for estimation of the in-cylinder mixture temperature at different events such as Intake Valve Closed (IVC), as well as mass of trapped air and residual gas. In-cylinder, intake and exhaust pressure traces are the primary inputs to the model. The mass of trapped residual gas is affected by valve overlap increase due to the exhaust gas backflow. Of importance to engines with Variable Valve Timing (VVT), the compressible ideal-gas flow correlations were applied to predict the exhaust gas backflow into the cylinder. Furthermore, 1D GT-Power Three Pressure Analysis (TPA) was used to calibrate and validate the designed model under steady-state conditions. To minimize the calibration efforts, Design of Experiments (DOE) analysis methodology was used. The transient behavior of the model was validated using dynamometer dynamic driving cycle. The cycle-based output parameters of the developed model are in good agreement with transient experimental data with minimal delay and overshoot. The predicted parameters follow the input dynamics propagated in the in-cylinder, intake and exhaust pressure traces with a 1.5% average relative steady-state prediction error.

A Learning Algorithm for Optimal Internal Combustion Engine Calibration in Real Time

2007 ◽  
Author(s):  
Andreas A. Malikopoulos ◽  
Panos Y. Papalambros ◽  
Dennis N. Assanis
Keyword(s):  
Internal Combustion Engine ◽  
Real Time ◽  
Fuel Economy ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Pollutant Emissions ◽  
Engine Operation ◽  
Engine Calibration

Advanced internal combustion engine technologies have increased the number of accessible variables of an engine and our ability to control them. The optimal values of these variables are designated during engine calibration by means of a static correlation between the controllable variables and the corresponding steady-state engine operating points. While the engine is running, these correlations are being interpolated to provide values of the controllable variables for each operating point. These values are controlled by the electronic control unit to achieve desirable engine performance, for example in fuel economy, pollutant emissions, and engine acceleration. The state-of-the-art engine calibration cannot guarantee continuously optimal engine operation for the entire operating domain, especially in transient cases encountered in driving styles of different drivers. This paper presents the theoretical basis and algorithmic implementation for allowing the engine to learn the optimal set values of accessible variables in real time while running a vehicle. Through this new approach, the engine progressively perceives the driver’s driving style and eventually learns to operate in a manner that optimizes specified performance indices. The effectiveness of the approach is demonstrated through simulation of a spark ignition engine, which learns to optimize fuel economy with respect to spark ignition timing, while it is running a vehicle.

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