A new method to smooth the in-cylinder pressure signal for combustion analysis in diesel engines

Ding, Yu; Stapersma, Douwe; Knoll, Henry A.; Grimmelius, Hugo

doi:10.1177/2041296710394298

Cited by 10 publications

(10 citation statements)

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“…Therefore, the smoothing procedure has to continue to eliminate the channel effect's influence as much as possible. Figure 9 compares the final smoothed pressure signals with measurement based on the new smooth method presented in reference [32]. According to Figure 9b, there is only one wave of the peak in-cylinder pressure region and for the other parts the pressure curve is smoothed sufficiently for the following combustion fitting investigation.…”

Section: The Process Pressure Signals Of Four Cylindersmentioning

confidence: 97%

“…Therefore, the measured pressure signals have to be processed firstly based on mathematics methods. On the other hand, some useful and effective methods can be used to improve the accuracy such as a pressure signals smooth approach based on the heat release calculation proposed by the author to ensure the accuracy of the signals' application to some extent [32].…”

Section: In-cylidner Measured Pressure Signals Processingmentioning

confidence: 99%

“…Heat release rate calculation based on the measured in-cylinder pressure, energy conservation equation and empirical heat transfer formula is a fundamental method to obtain the engine combustion phenomena. On the other hand, when the heat release is known, the statistical analysis of a large amount of actual heat release can be used to build the heat release models based on the empirical formula or curve fitting [32]. The general semi-empirical formula for calculating heat release rate is Vibe formulas and the isosceles triangle combustion model [33,34].…”

Section: Introductionmentioning

confidence: 99%

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An Experimental Investigation into Combustion Fitting in a Direct Injection Marine Diesel Engine

Ding

Sui

2018

Applied Sciences

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The marine diesel engine combustion process is discontinuous and unsteady, resulting in complicated simulations and applications. When the diesel engine is used in the system integration simulation and investigation, a suitable combustion model has to be developed due to compatibility to the other components in the system. The Seiliger process model uses finite combustion stages to perform the main engine combustion characteristics and using the cycle time scale instead of the crank angle shortens the simulation time. Obtaining the defined Seiliger parameters used to calculate the engine performance such as peak pressure, temperature and work is significant and fitting process has to be carried out to get the parameters based on experimental investigation. During the combustion fitting, an appropriate mathematics approach is selected for root finding of non-linear multi-variable functions since there is a large amount of used experimental data. A direct injection marine engine test bed is applied for the experimental investigation based on the combustion fitting approach. The results of each cylinder and four-cylinder averaged pressure signals are fitted with the Seiliger process that is shown separately to obtain the Seiliger parameters, and are varied together with these parameters and with engine operating conditions to provide the basis for engine combustion modeling.

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Section: The Process Pressure Signals Of Four Cylindersmentioning

confidence: 97%

Section: In-cylidner Measured Pressure Signals Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Experimental Investigation into Combustion Fitting in a Direct Injection Marine Diesel Engine

Ding

Sui

2018

Applied Sciences

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“…The in-cylinder pressure signals, as measured from engine facilities, are very erratic due to the inherent character of the combustion process. Thus, the method in [76] was employed to smooth the pressure signal, which is then averaged by 200 cycles for model validation. The residuals and the square of correlation coefficient (R-square) were used to evaluate the model accuracy.…”

Section: Model Validationmentioning

confidence: 99%

Parametric Knocking Performance Investigation of Spark Ignition Natural Gas Engines and Dual Fuel Engines

Xiang

Theotokatos

Cui

et al. 2020

JMSE

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Both spark ignition (SI) natural gas engines and compression ignition (CI) dual fuel (DF) engines suffer from knocking when the unburnt mixture ignites spontaneously prior to the flame front arrival. In this study, a parametric investigation is performed on the knocking performance of these two engine types by using the GT-Power software. An SI natural gas engine and a DF engine are modelled by employing a two-zone zero-dimensional combustion model, which uses Wiebe function to determine the combustion rate and provides adequate prediction of the unburnt zone temperature, which is crucial for the knocking prediction. The developed models are validated against experimentally measured parameters and are subsequently used for performing parametric investigations. The derived results are analysed to quantify the effect of the compression ratio, air-fuel equivalence ratio and ignition timing on both engines as well as the effect of pilot fuel energy proportion on the DF engine. The results demonstrate that the compression ratio of the investigated SI and DF engines must be limited to 11 and 16.5, respectively, for avoiding knocking occurrence. The ignition timing for the SI and the DF engines must be controlled after −38°CA and 3°CA, respectively. A higher pilot fuel energy proportion between 5% and 15% results in increasing the knocking tendency and intensity for the DF Engine at high loads. This study results in better insights on the impacts of the investigated engine design and operating settings for natural gas (NG)-fuelled engines, thus it can provide useful support for obtaining the optimal settings targeting a desired combustion behaviour and engine performance while attenuating the knocking tendency.

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“…A diversity of methods can be used for this numerical treatment, including FFT filters, windowing filters, smoothing splines and Wiebe function regression (Zhong et al, 2004;Payri et al, 2011;Ding et al, 2011). However, the choice of a proper data treatment methodology requires, at least, a basic knowledge about the behaviour of each one of the above mentioned components of the experimental data.…”

Section: Uncertainty Sources and Data Treatmentmentioning

confidence: 99%

Internal Combustion Engine Indicating Measurements

Bueno¹,

Velásquez²,

Milanez³

2012

Applied Measurement Systems

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A new method to smooth the in-cylinder pressure signal for combustion analysis in diesel engines

Cited by 10 publications

References 0 publications

An Experimental Investigation into Combustion Fitting in a Direct Injection Marine Diesel Engine

An Experimental Investigation into Combustion Fitting in a Direct Injection Marine Diesel Engine

Parametric Knocking Performance Investigation of Spark Ignition Natural Gas Engines and Dual Fuel Engines

Internal Combustion Engine Indicating Measurements

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