Journal ArticleDOI
Review of the development and applications of the Wiebe function: A tribute to the contribution of Ivan Wiebe to engine research
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TLDR
The Wiebe function as discussed by the authors is used to predict the burn fraction and burn rate in internal combustion engines operating with different combustion systems and fuels, including direct injection (DI) and indirect injection (IDI) diesel engines, classical spark ignition (SI) engines, engines with homogeneous charge compression ignition (HCCI) and premixed charge compression ignited (PCCI).Abstract:
Analytical functions approximating the burn rate in internal combustion engines are useful and cost-effective tools for engine cycle simulations. Most functions proposed to date are based on the law of normal distribution of a continuous random variable. The best known of these is the Wiebe function, which is used to predict the burn fraction and burn rate in internal combustion engines operating with different combustion systems and fuels. These include direct injection (DI) and indirect injection (IDI) diesel engines, classical spark ignition (SI) engines and gasoline direct injection (GDI) engines, engines with homogeneous charge compression ignition (HCCI) and premixed charge compression ignition (PCCI). This paper is a tribute to the lasting legacy of the Wiebe function and to the man behind it, Ivan Ivanovitch Wiebe. It includes a historical background to the development of the function in the mid 1950s in the Soviet Union, the controversy that surrounded its introduction, a description of t...read more
Citations
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Journal ArticleDOI
Design, development and testing a hybrid control model for RCCI engine using double Wiebe function and random forest machine learning
Chinmaya Mishra,P.M.V. Subbarao +1 more
TL;DR: In this paper, the authors proposed a hybrid control model by combining physics-inspired parametrized double Wiebe function (D-W) and Random Forest Machine Learning (RFML) to predict both the average and cyclic variation trends of combustion metrics in an RCCI engine.
Journal ArticleDOI
Automatic calibration algorithm of 0-D combustion model applied to DICI diesel engine
TL;DR: In this paper, an automatic calibration algorithm is developed to determine and then calibrate standard and double Wiebe function, which combines advantages of the algebra and Levenberg-Marquardt (LM) algorithm and avoids the two methods' disadvantages.
Journal ArticleDOI
Improving the efficiency of four-stroke engine with use of the pneumatic energy accumulator-simulations and examination
TL;DR: In this paper, preliminary results of preliminary tests that were carried out on a four-stroke engine with spark ignition (SI), as well as a mechanical oscillator with pneumatic support, were presented.
Dissertation
Design and modelling of innovative machinery systems for large ships
TL;DR: In this paper, the main engine of a two-stroke diesel engine, turbochargers, and the ORC were simulated using a zero-dimensional model consisting of two-zone combustion and NOx emission model, a double Wiebe heat release model, the Redlich-Kwong equation of state and the Woschni heat loss correlation.
Dissertation
Chemical kinetics modelling of combustion processes in SI engines
Abstract: The need for improving the efficiency and reducing emissions is a
constant challenge in combustion engine design For spark ignition
engines, these challenges have been targeted in the past decade or
so, through ‘engine downsizing’ which refers to a reduction in engine
displacement accompanied by turbocharging Besides the benefits of
this, it is expected to aggravate the already serious issue of engine
knock owing to increased cylinder pressure Engine knock which is
a consequence of an abnormal mode of combustion in SI engines, is
a performance limiting phenomenon and potentially damaging to the
engine parts It is therefore of great interest to develop capability to
predict autoignition which leads to engine knock Traditionally, rather
rudimentary skeletal chemical kinetics models have been used for autoignition
modelling, however, they either produce incorrect predictions
or are only limited to certain fuels In this work, realistic chemical
kinetics of gasoline surrogate oxidation has been employed to address
these issues
A holistic modelling approach has been employed to predict combustion,
cyclic variability, end gas autoignition and knock propensity
of a turbocharged SI engine This was achieved by first developing
a Fortran code for chemical kinetics calculations which was
then coupled with a quasi-dimensional thermodynamic combustion
modelling code called LUSIE and the commercial package, GT-Power
The resulting code allowed fast and appreciably accurate predictions
of the effects of operating condition on autoignition Modelling was
validated through comparisons with engine experimental data at all
stages
Constant volume chemical kinetics modelling of the autoignition of
various gasoline surrogate components, ie iso-octane, n-heptane,
toluene and ethanol, by using three reduced mechanisms revealed
how the conversion rate of relatively less reactive blend components,
toluene and ethanol, is accelerated as they scavenge active radical
formed during the oxidation of n-heptane and iso-octane Autoignition
modelling in engines offered an insight into the fuel-engine interactions
and that how the composition of a gasoline surrogate should
be selected The simulations also demonstrated the reduced relevance
of research and motor octane numbers to the determination of gasoline
surrogates and that it is crucial for a gasoline surrogate to reflect
the composition of the target gasoline and that optimising its physicochemical
properties and octane numbers to match those of the gasoline
does not guarantee that the surrogate will mimic the autoignition
behaviour of gasoline
During combustion modelling, possible deficiencies in in-cylinder turbulence
predictions and possible inaccuracies in turbulent entrainment
velocity model required an optimisation of the turbulent length
scale in the eddy burn-up model to achieve the correct combustion
rate After the prediction of a correct mean cycle at a certain engine
speed, effects of variation in intake air temperature and spark timing
were studied without the need for any model adjustment Autoignition
predictions at various conditions of a downsized, turbocharged
engine agreed remarkably well with experimental values When coupled
with a simple cyclic variability model, the autoignition predictions
for the full spectrum of cylinder pressures allowed determination
of a percentage of the severely autoigniting cycles at any given spark timing or intake temperature Based on that, a knock-limited spark advance was predicted within an accuracy of 2° of crank angle
References
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Journal ArticleDOI
Second-law analyses applied to internal combustion engines operation
TL;DR: In this article, a survey of the literature concerning the application of the second-law of thermodynamics to internal combustion engines is presented, with a detailed reference to the findings of various researchers in the field over the last 40 years.
Book
Modeling Engine Spray and Combustion Processes
TL;DR: In this article, the authors present the foundation of multidimensional CFD-Codes, including thermodynamic models, phenomenological models, and Spray Processes, as well as combinatorial models of spray processes.
Proceedings ArticleDOI
A Combustion Correlation for Diesel Engine Simulation
TL;DR: In this article, an apparent heat release rate (AHRR) correlation is presented for direct injection diesel engines based on algebraic expressions describing the fuel burning rate as a function of dominant controlling parameters, such as ignition delay and equivalence ratio.