Computational thermodynamic of a turbocharged direct injection diesel engine.
Menacer, B. ; Bouchetara, M.
1. Introduction
More than one century after his invention by Dr. Rudolf Diesel, the
compression ignition engine remains the most efficient internal
combustion engines for ground vehicle applications. Thermodynamic models
(zero-dimensional) and multi-dimensional models are the two types of
models that have been used in internal combustion engine simulation
modeling. Nowadays, trends in combustion engine simulations are towards
the development of comprehensive multi-dimensional models that
accurately describe the performance of engines at a very high level of
details. However, these models need a precise experimental input and
substantial computational power, which make the process significantly
complicated and time-consuming [1]. On the other hand, zero-dimensional
models, which are mainly based on energy conservation (first law of
thermodynamics) are used in this work due to their simplicity and of
being less time-consuming in the program execution, and their relatively
accurate results [2]. There are many modeling approaches to analysis and
optimization of the internal combustion engine. Angulo-Brown et al. [1]
optimized the power of the Otto and Diesel engines with friction loss
with finite duration cycle. Chen et al. [2] derived the relationships of
correlation between net power output and the efficiency for Diesel and
Otto cycles; there are thermal losses only on the transformations in
contact with the sources and the heat sinks other than isentropic.
Merabet et al. [3] proposed a model for which the thermal loss is
represented more classically in the form of a thermal conductance
between the mean temperature of gases, on each transformation V =
constant, p = constant, compared to the wall temperature [T.sub.wall].
Among the objectives of this work is to conduct a comparative study of
simulation results of the performances of a six cylinder direct
injection turbocharged compression ignition engine obtained with the
elaborate calculation code in FORTRAN and those with the software
GT-Power. We also studied the influence of certain important
thermodynamic and geometric engine parameters on the brake power, on the
effective efficiency, and also on pressure and temperature of the gases
in the combustion chamber.
2. Diesel engine modeling
There are three essential steps in the mathematical modelling of
internal combustion engine [4, 5]: a. thermodynamic models based on
first and second law analysis, they are used since 1950 to help engine
design or turbocharger matching and to enhance engine processes
understanding; b. empirical models based on input-output relations
introduced in early 1970s for primary control investigation; c.
nonlinear models physically-based for both engine simulation and control
design.
Engine modeling for control tasks involves researchers from
different fields, mainly, control and physics. As a consequence, several
specific nominations may designate the same class of model in accordance
with the framework. To avoid any misunderstanding, we classify models
within three categories with terminology adapted to each field:
* thermodynamic-based models or knowledge models (so-called
"white box") for nonlinear model physically-based suitable for
control;
* non-thermodynamic models or "black-box" models for
experimental input-output models;
* semiphysical approximate models or parametric models (so-called
"grey-box"). It is an intermediate category, here, model are
built with equations derived from physical laws of which parameters
(masses, volume, inertia, etc.) are measured or estimated using
identification techniques.
Next section focuses on category 1 with greater interest on
thermodynamic models. For the second and third class of models see [6].
2.1. Thermodynamic-based engine model
Thermodynamic modeling techniques can be divided, in order of
complexity, in the following groups [7]: a. quasi-stable; b. filling and
emptying; c. the method of characteristics (gas dynamic models). Models
that can be adapted to meet one or more requirements for the development
of control systems are: quasi-steady, filling and emptying,
cylinder-to-cylinder (CCEM) and mean value models (MVEM). Basic
classification of thermodynamic models and the emergence of appropriate
models for control are shown in Fig. 1.
[FIGURE 1 OMITTED]
2.1.1. Quasi-steady method
The quasi-steady model includes crankshaft and the turbocharger
dynamics and empirical relations representing the engine thermodynamic
[8, 9]. Quasi-steady models are simple and have the advantage of short
run times. For this reason, they are suitable for real-time simulation.
Among the disadvantages of this model was the strong dependence of the
experimental data and the low accuracy. Thus, the quasi-steady method is
used in the combustion subsystem with mean value engine models to reduce
computing time.
2.1.2. Filling and emptying method
Under the filling and emptying concept, the engine is treated as a
series of interconnected control volumes (open thermodynamic volume)
[10, 11]. Energy and mass conservation equations are applied to every
open system with the assumption of uniform state of gas. The main
motivation for filling and emptying technique is to give general engine
models with the minimum requirement of empirical data (maps of turbine
and compressor supplied by the manufacturer). In this way, the model can
be adapted to other types of engines with minimal effort. Filling and
emptying model shows good prediction of engine performance under steady
state and transient conditions and provides information about parameters
known to affect pollutant or noise. However, assumptions of uniform
state of gas cover up complex acoustic phenomena (resonance).
2.1.3. Method of characteristics (or gas dynamic models)
It is a very powerful method to access accurately parameters such
as the equivalence ratio or the contribution to the overall noise sound
level of the intake and the exhaust manifold. Its advantage is
effectively understood the mechanism of the phenomena that happen in a
manifold [12] and, allows to obtain accurately laws of evolution of
pressure, speed and temperature manifolds at any point, depending on the
time, but the characteristic method requires a much more important
calculation program, and the program's complexity increases widely
with the number of singularities to be treated.
3. General equation of the model
In this work we developed a zero-dimensional model proposed by
Watson et al [11], which gives a satisfactory combustion heat to
calculate the thermodynamic cycle. In this model, it is assumed that:
engine plenums (cylinders, intake and exhaust manifolds) are modelled as
separate thermodynamic systems containing gases at uniform state. The
pressure, temperature and composition of the cylinder charge are uniform
at each time step, which is to say that no distinction is made between
burned and unburned gas during the combustion phase inside the cylinder.
With respect to the filling and emptying method, mass, temperature and
pressure of gas are calculated using first law and mass conservation.
Ideal gases with constant specific heats, effects of heat transfer
through intake and exhaust manifolds are neglected; compressor inlet and
turbocharger outlet temperatures and pressures are assumed to be equal
to ambient pressure and temperature. From the results of Rakapoulos et
al. [13]; temperatures of the cylinder head, cylinder walls, and piston
crown are assigned constant values. The crank speed is uniform (steady
state engine). The rate of change of the volume with respect to time is
given as follows (Fig. 2):
[V.sub.cyl](t) = [V.sub.clear] + [pi][D.sup.2]L/4(1 +
[[beta].sub.mb](1 - cos([omega]t)) - -[square root of (1 -
[[beta].sub.mb.sup.2][sin.sup.2]([omega]t))]). (1)
where t is time measured with respect to TDC [s], o is engine
speed, rad/s; [F.sub.clear] is clearance volume [V.sub.clear] =
[V.sub.cyl] (t)/[c.sub.r]; [C.sub.r] is compression ratio;
[[beta].sub.mb] = 2l/L is ratio of connected rod length to crank radius;
l connecting rod length, m; L is the piston stroke, m, D is the cylinder
bore, m.
[FIGURE 2 OMITTED]
3.1. Fuel burning rate
There are two empirical models to determine the fuel burning rate:
the simple Vibe law and the modified or double Vibe function following
the Watson and al. model. In this simulation, we chose the single zone
combustion model proposed by Watson et al. [4]. This correlation
developed from experimental tests carried out on engines with different
characteristics in different operating regimes. This model reproduces in
two combustion phases; the first is the faster combustion process, said
the premixed combustion and the second is the diffusion combustion which
is slower and represents the main combustion phase.
During combustion, the amount of heat release [Q.sub.comb] is
assumed proportional to the burned fuel mass:
d[Q.sub.comb]/dt = [[dm.sub.fb]/dt] [h.sub.for], (2)
[dm.sub.fb]/dt = [[??].sub.fb]/dt [[m.sub.f]/[DELTA][t.sub.comb]].
(3)
The combustion process is described using an empirical model, the
single zone model obtained by Watson et al. [4]:
[[??].sub.fb]/dt = [beta][([dm.sub.fb]/dt).sub.p] + (1 - [beta])
[([dm.sub.fb]/dt).sub.d], (4)
where d[Q.sub.comb]/dt is rate of heat release during combustion,
kJ/s; [dm.sub.fb]/dt is Burned fuel mass rate, kg/s; [h.sub.for] is
enthalpy of formation of the fuel, kJ/kg; [[??].sub.fb]/dt is normalized
burned fuel mass rate; m is injected fuel mass per cycle, kg/cycle;
[([dm.sub.fb]/dt).sub.p] is normalized fuel burning rate in the premixed
combustion; [([dm.sub.fb]/d).sub.d] is normalized fuel burning rate in
the diffusion combustion; p is fraction of the fuel injected into the
cylinder and participated in the premixed combustion phase. It depends
on the ignition delay [[tau].sub.id] described by Arrhenius formula [14]
and the equivalence ratio [phi]:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], (5)
where [[beta].sub.1],[[beta].sub.2],[[beta].sub.3] are empirical
constants for fuel fraction in the premixed combustion ([[beta].sub.1] =
0.90, [[beta].sub.2] = 0.35, [[beta].sub.3] = 0.40); [phi] is fuel-air
equivalence ratio.
The equivalence ratio [phi] is defined as:
[phi] = ([m.sub.fb]/[m.sub.a])/[[phi].sub.s], (6)
where [m.sub.a] is mass air participating in fuel combustion, kg;
[[phi].sub.s] is stoichiometric fuel-air ratio.
In diesel engine, in which quality governing of mixture is used,
the equivalence ratio varies greatly depending on the load.
The fuel burned mass [m.sub.fb] is written as follows:
[m.sub.fb] = [m.sub.cyl][[phi].sub.s][phi]/1 + [[phi].sub.s][phi].
(7)
From the Eqs. (6) and (7), one obtains the state equation of the
equivalence ratio [15]:
d[phi]/dt = (1 + [[phi].sub.s][phi]/[m.sub.cyl]) ([1 +
[[phi].sub.s][phi]/[[phi].sub.s]][[dm.sub.fb]/dt] - [phi]
[[dm.sub.cyl]/dt]) (8)
The ignition delay [[tau].sub.id] is the period between injection
time and ignition time and it calculated by Arrhenius formula, ms:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], (9)
where [[??].sub.cyl] and [[??].sub.cyl] are average values of the
pressure and temperature in the cylinder when the piston is at the top
dead center; [k.sub.1] = 0.0405; [k.sub.2] = 0.757; [k.sub.3] = 5473 are
these coefficients are experimentally determined on rapid compression
engines and valid for the cetane number between 45 and 50, [16].
3.1.1. Fuel burning rate during the premixed combustion
The normalized fuel burning rate in the premixed combustion is [7,
11]:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], (10)
[t.sub.norm] = t - [t.sub.inj]/[DELTA][t.sub.comb] = ([theta] -
[[theta].sub.inj])/[DELTA][[theta].sub.comb], (11)
where [t.sub.norm] is normalized time vary between 0 (ignition
beginning or injection time) and 1 (combustion end);
[DELTA][t.sub.comb], [DELTA][[theta].sub.comb] is combustion duration,
S, [degrees]CA; [t.sub.inj], [[theta].sub.inj] is injection time and
angle, s, [degrees]CA; t, [theta] is actual time and angle, s,
[degrees]CA; [C.sub.1p], [C.sub.2p] are constants model of the premixed
combustion: [C.sub.1p] = 2 + 1.25 x [10.sup.-8]
[([[tau].sub.id]N).sup.2.4], [C.sub.2p] = 5000.
3.1.2. Fuel burning rate during the diffusion combustion
The fuel burning rate in the diffusion combustion is calculated as
[11]:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], (12)
where [C.sub.3d], [C.sub.4d], are constants of the diffusion
combustion model, then: [C.sub.3d] = 14.2/[[phi].sup.0.644.sub.tol],
[C.sub.4d] = 0.79[C.sup.0.25.sub.3d].
3.2. Heat transfer in the cylinder
Heat transfer affects engine performance and efficiency. The heat
transfer model takes into account the forced convection between the
gases trapped into the cylinder and the cylinder wall. The heat transfer
by conduction and radiation in the engine block are much less important
than the heat transfer by convection [17]. The instantaneous convective
heat transfer rate from the incylinder gas to cylinder wall
[[??].sub.ht] is calculated by:
d[Q.sub.ht]/dt = [A.sub.cyl][h.sub.t]([T.sub.cyl] - [T.sub.wall]),
(13)
where [T.sub.wall] is temperature walls of the combustion chamber
(bounded by the cylinder head, piston head and the cylinder liner). From
the results of Rakapoulos et al. [13], [T.sub.wall] is assumed constant.
The instantaneous heat exchange area [A.sub.cyl] can be expressed
roughly by the following relation:
[A.sub.cyl] = ([[alpha].sub.p] + [[alpha].sub.ch])
[[pi][D.sup.2]/4] + [pi]D [S/2] x x([l/r] + 1 - cos([omega]t) - [square
root of ([(l/r).sup.2] - [sin.sup.2]([omega]t))]), (14)
where [[alpha].sub.p] is coefficient shape of the piston head;
[[alpha].sub.ch] is coefficient shape of the cylinder head, (for flat
area [[alpha].sub.p,ch] = 2 and for no flat area [[alpha].sub.p,ch] >
2).
The global heat transfer coefficient in the cylinder can be
estimated by the empirical correlation of Hohenberg which is a
simplification of the Woschni correlation; it presents the advantage to
be simpler of use and is the most adequate among all available relations
to compute the heat transfer rate through cylinder walls for diesel
engine [18].
The heat transfer coefficient [h.sub.t], kW/K [m.sup.2] at a given
piston position, according to Hohenberg's correlation [18] is:
[h.sub.t](t) = [k.sub.hoh][p.sub.0.8.sub.cyl] [V.sup.-0.06.sub.cyl]
[T.sup.-0.4.sub.cyl] [([[bar.v].sub.pis] + 1.4).sup.0.8] (15)
where [p.sub.cyl] is cylinder pressure; [V.sub.cyl] is in-cylinder
gas volume at each crank angle position; [k.sub.hoh] is constant of
Hohenberg which characterize the engine ([k.sub.hoh] = 130).
The mean piston speed [[bar.v].sub.pis], m/s is equal to:
[[bar.v].sub.pis] = 2 x S x N (16)
where N is engine speed, rpm.
3.3. Energy balance equations
In the filling and empting method, only the law of conservation
energy is considered. The energy balance of the engine for a control
volume constituted by the cylinder gasses is established over a complete
cycle:
dU/dt = [dW/dt] + [dQ/dt] (17)
where U is the internal energy, W is the external work and Q is the
total heat release during the combustion.
The internal energy U per unit mass of gas is calculated from a
polynomial interpolation deduced from the calculation results of the
combustion products at equilibrium for a reaction between air and fuel
[C.sub.n][H.sub.2n]. The polynomial interpolation is a continuous
function of temperature and equivalence ratio. It is valid for a
temperature range T between 250[degrees]K and 2400[degrees]K and
equivalence ratio [phi] between 0 and 1.6. To determine the change in
internal energy, we use the expressions of Krieger and Borman [19]:
dU/dT = ([dA/dT] - [dB/dT] [phi])/ (1 + [[phi].sub.s][phi]), (18)
dA/dT = [C.sub.0] + [C.sub.1]T + [C.sub.2][T.sup.2] -
[C.sub.3][T.sup.3] + [C.sub.4][T.sup.4], (19)
dB/dT = -[C.sub.5] - [C.sub.6]T + [C.sub.7][T.sup.2] -
[C.sub.8][T.sup.3], (21)
where dA/dT, dB/dT are interpolation polynomial of Krieger and
Borman; [C.sub.0], [C.sub.1], [C.sub.2], [C.sub.3], [C.sub.4],
[C.sub.5], [C.sub.6], [C.sub.7], [C.sub.8] are Krieger and Borman
constants.
The work rate is calculated from the cylinder pressure and the
change in cylinder volume:
dW/dt = -[p.sub.cyl] d[V.sub.cyl]/dt. (20)
The total heat release [??] during the combustion is divided in
four main terms:
dQ/dt = d[Q.sub.in]/dt + [d[Q.sub.comb]/dt] - [d[Q.sub.out]/dt] -
[d[Q.sub.ht]/dt], (21)
with
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (22)
where d[Q.sub.ht]/dt is rate of the convective heat transfer from
gas to cylinder walls, kW; d[Q.sub.in]/dt and d[Q.sub.out]/dt are inlet
and outlet enthalpy flows in the open system, kW; [[??].sub.in] is mass
flow through the intake valve, kg/s; [[??].sub.out] is mass flow through
the exhaust valve, kg/s; [Q.sub.LHV] is lower heating value of fuel,
kJ/kg; [C.sub.p] is specific heat at constant pressure, kJ/kg K;
[C.sub.v] is specific heat at constant volume, kJ/kg K.
The rate of change of mass inside the cylinder is evaluated from
mass conservation, and is as follows:
[dm.sub.cyl]/dt = [[??].sub.f] + [[??].sub.in] - [[??].sub.out]
(23)
From the energy balance, we can deduce the temperature of gases in
the cylinder [[??].sub.cyl] [7]:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]. (24)
In Eq. (24), many terms will be zero in some control volumes all or
some of the time. For examples: d[V.sub.cyl]/dt is zero for the
manifolds; [([h.sub.0] [dm/dt]).sub.in] and [([h.sub.0][dm/dt]).sub.out]
are zero for the cylinder; [dm.sub.fb]/dt is zero the manifolds; u
[[dm.sub.cyl]/dt] is zero for the cylinder except for mass addition of
fuel during combustion; d[Q.sub.ht]/dt is neglected for the inlet
manifolds; [partial derivative]u/[partial derivative][phi] is zero for
the cylinder except during combustion (when fuel is added, hence [phi]
changes); specific enthalpies [([h.sub.0]).sub.in] and
[([h.sub.0]).sub.out] (except the specific enthalpy of formation
[h.sub.for]) are constant values.
By application of the first law of thermodynamics for the cylinder
gas, the Eq. (24) became:
d[T.sub.cyl]/dt = 1/[m.sub.cyl][C.sub.v]([dQ/dt] - [P.sub.cyl]
[d[V.sub.cyl]/dt]). (25)
The state equation of ideal gas is given by:
[P.sub.cy][V.sub.cyl] = [m.sub.cyl][RT.sub.cyl], (26)
where R is gas constant, kJ/kg K.
Rearranging equations (21), (24), (25), (26); the state equation
for cylinder pressure finally becomes:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], (27)
where X is specific heat ratio ([lambda] = [C.sub.p]/[C.sub.v]).
To evaluate the differential Eqs. (24) or (27), all terms of the
right side must be found. The most adapted numerical solution method for
these equations is the Runge-Kutta method.
3.4. Friction losses
Friction losses not only affect the performance, but also increase
the size of the cooling system, and they often represent a good
criterion of engine design. The model proposed by Chen and Flynn [20]
demonstrate that the value of the mean friction pressure [f.sub.mep],
bar, be composed of a mean value c and additive terms correlated with
the maximal cycle pressure [p.sub.max] and the mean piston speed
[[bar.v].sub.pis]. The mean value C, supposed constant, depends on the
engine type and represents a constant base pressure which is to be
overcome first. The term depending on [[bar.v].sub.pis], reflect the
friction losses in the cylinder (piston-shirt).
The maximal cycle pressure [p.sub.max] characterizes the losses in
the mechanism piston-rod-crankshaft. So the friction mean effective
pressure is calculated by [7]:
[f.sub.mep] = C + (0.005[p.sub.max]) + 0.162[[bar.v].sub.pis], (28)
where [p.sub.max] is maximal cycle pressure, bar. For direct
injection diesel engine C - 0.130 bar.
3.5. Effective power and effective efficiency
For the 4-stroke engine, the effective power is [7]:
[b.sub.power] = [b.sub.mep][V.sub.d][N.sub.cyls]N/2 (29)
where [V.sub.d] is displacement volume, [m.sup.3], [V.sub.d] -
[pi][D.sup.2]S/4, and [N.sub.cyls] cylinder number.
The effective efficiency is given by [7]:
[R.sub.eff] = Wd/[Q.sub.comb]. (30)
4. Engine simulation programs
4.1. Computing steps of the developed simulation program
The calculation of the thermodynamic cycle according to the basic
equations mentioned above requires an algorithm for solving the
differential equations for a large number of equations describing the
initial and boundary conditions, the kinematics of the crank mechanism,
the engine geometry, the fuel and kinetic data.
It is therefore wise to choose a modular form of the computer
program. The developed power cycle simulation program includes a main
program as an organizational routine, but which incorporates a few
technical calculations, and also several subroutines. The computer
program calculates in discrete crank angle incremental steps from the
start of the compression, combustion and expansion stroke. The program
configuration allows through subroutines to improve the clarity of the
program and its flexibility. The basis of any power cycle simulation is
above all the knowledge of the combustion process. This can be described
using the modified Wiebe function including parameters such as the
combustion time and the fraction of the fuel injected into the cylinder.
For the closed cycle period, Watson recommended the following
engine calculation crank angle steps: 10[degrees]CA before ignition,
1[degrees]CA at fuel injection timing, 2[degrees]CA between ignition and
combustion end, and finally 10[degrees]CA for expansion.
The computer simulation program includes the following parts:
* Input engine, turbocharger and intercooler data: engine geometry
(D,S,l,r); engine constant (N, [phi], [C.sub.r]); turbocharger constant
([pi]c, [pi]t, [p.sub.amb], [T.sub.amb], m ICE [p.sub.out,tur],
[T.sub.out,tur], [p.sub.out,man], [T.sub.out,man]) and polynomial
coefficient of thermodynamic properties of species.
* Calculation of intercooler and turbocharger
thermodynamic parameters:
compressor outlet pressure [p.sub.c]; compressor outlet temperature
[T.sub.c]; compressor outlet masse flow rate mc; intercooler outlet
pressure [p.sub.ic]; intercooler outlet temperature [T.sub.ic];
intercooler outlet masse flow rate [[??].sub.ic]; turbine outlet
pressure pt; turbine outlet temperature [T.sub.t]; turbine outlet masse
flow rate [[??].sub.t].
* Calculation of engine performance parameters: calculation of the
initial thermodynamic data (calorific value of the mixture, state
variables to close the inlet valve, compression ratio [C.sub.r]);
calculation of the piston kinematic and heat transfer areas; main
program for calculating the thermodynamic cycle parameters of
compression, combustion and expansion stroke; numerical solution of the
differential equation (the first law of thermodynamics) with the
Runge-Kutta method; calculation of the specific heat (specific heat
constant pressure [C.sub.p] and specific heat at constant volume
[C.sub.v]); calculation of the combustion heat, the heat through walls
and the gas inside and outside the open system; calculation of main
engine performance parameters mentioned above.
* Output of data block :
Instantaneous cylinder pressure [p.sub.cyl]; instantaneous cylinder
temperature [T.sub.cyl]; indicated mean effective pressure [i.sub.mep];
friction mean effective pressure [f.sub.mep]; mean effective pressure
[b.sub.mep]; indicated power [i.sub.power]; friction power
[f.sub.power]; brake power [b.sub.power].
The computer simulation steps of a turbocharged diesel engine are
given by the flowchart in Fig. 3.
4.2. Commercial engine simulation code
The GT-Power is a powerful tool for the simulation of internal
combustion engines for vehicles, and systems of energy production. Among
its advantages is the facility of use and modeling. GT-Power is designed
for steady state and transient simulation and analysis of the power
control of the engine. The diesel engine combustion can be modeled using
two functions Wiebe [21]. GTPower is an object-based code, including
template library for engine components (pipes, cylinders, crankshaft,
compressors, valves, etc ...). Fig. 4 shows the model of a turbocharged
diesel engine with 6 cylinders and intercooler made with GT-Power. In
the modeling technique, the engine, turbocharger, intercooler, fuel
injection system, intake and exhaust system are considered as components
interconnected in series.
4.2.1. Injection system
The simple injection system is used to inject fluid into cylinder
and used for direct-injection diesel engines. Tablel shows the
parameters of the injection system.
4.2.2. Inlet manifold and exhaust manifold
In the intake manifold, the thermal transfers are negligible in the
gas-wall interface. This hypothesis is acceptable since the
collector's temperature is near to the one of gases that it
contains.
The variation of the mass in the intake manifold depends on the
compressor mass flow and the flow through of valves when they are open.
In the modeling view, the line of exhaust manifold of the engine is
composed in three volumes. The cylinders are grouped by three and emerge
on two independent manifold, component two thermodynamic systems opened
of identical volumes. A third volume smaller assures the junction with
the wheel of the turbine.
4.2.3. Turbocharger
Turbocharging the internal combustion engine is an efficient way to
increase the power and torque output. The turbocharger consists of an
axial compressor linked with a turbine by a shaft. The compressor is
powered by the turbine which is driven by exhaust gas. In this way,
energy of the exhaust gas is used to increase the pressure in the intake
manifold via the turbocharger. As a result more air can be added into
the cylinders allowing increasing the amount of fuel to be burned
compared to a naturally aspirated engine.
4.2.4. Heat exchanger or intercooler
The heat exchanger can be assimilated to an intermediate volume
between the compressor and the intake manifold. It comes to solve a
system of differential equations supplementary identical to the
manifold. It appeared to assimilate the heat exchanger as a
non-dimensional organ (one supposes that it doesn't accumulate any
gas).
5. Results of engine simulation
Thermodynamic and geometric parameters chosen in this study are:
* Engine geometry: compression ratio [C.sub.r], cylinder bore D and
more particularly to the stroke bore ratio [R.sub.sb] = L/D.
* Combustion parameters: injected fuel mass [m.sub.f], crankshaft
angle [T.sub.inf] marking the injection timing and cylinder wall
temperature [T.sub.wall].
The Table 2 show the main parameters of the chosen direct-injection
diesel engine [21].
[FIGURE 3 OMITTED]
[FIGURE 4 OMITTED]
5.1. Influence of the geometric parameters
5.1.1. Influence of the compression ratio
In general, increasing the compression ratio improved the
performance of the engine. Fig. 5 shows the influence of the compression
ratio (Cr = 16:1 and 19:1) on the brake power and effective efficiency
at full load, advance for GT-Power and the elaborate software. The brake
efficiency increases with increase of the effective power until its
maximum value, after it begins to decrease until a maximal value of the
effective power. It is also valid for the effective power. If the
compression ratio increase from 16:1 to 19:1, the maximal efficiency
increases of 2% and the maximal power of 1.5% for GT-Power and the
elaborate software.
[FIGURE 5 OMITTED]
5.1.2. Influence of the stroke bore ratio
The stroke bore ratio is another geometric parameter that
influences on the performances of a turbocharged diesel engine. The
cylinder volume of 2.0 l can be obtained by a different manner while
varying this parameter; its influence is shown in Fig. 6. If the stroke
bore ratio increase, the mean piston speed is greater, and friction
losses Eq. (10) are important with increasing the engine speed. The
effective power and the brake efficiency decrease with the increase of
the stroke bore ratio. If the stroke bore ratio augments of 0.5 (of 1.5
to 2) then, the maximum brake efficiency decreased an average of 3%, and
the maximum effective power of 4%.
5.2. Influence of the thermodynamic parameters
5.2.1. Influence of the wall temperature
The influence of the cylinder wall temperature is represented also
in Fig. 7, when the cylinder wall temperature is lower, then the brake
efficiency increase. More the difference temperature between gas and
wall cylinder is less, then the losses by convective exchange is high
[21]. If the cylinder wall temperature increase by 100[degrees]K (from
350 to 450[degrees]K), the maximum of brake power and effective
efficiency decrease respectively by about 0.7%. The maximum operating
temperature of an engine is limited by the strength and geometric
variations due to thermal expansion, which can be a danger of galling.
Improved heat transfer to the walls of the combustion chamber lowers the
temperature and pressure of the gas inside the cylinder, which reduces
the work, transferred to the piston cylinder and reduces the thermal
efficiency of the engine. It is thus advantageous to cool the cylinder
walls provided they do not do it too vigorously.
[FIGURE 6 OMITTED]
[FIGURE 7 OMITTED]
5.2.2. Influence of the advanced injection
Fig. 8 show the influence of different injection timing on the
variation of the maximum brake power and the maximum effective
efficiency for the both software; Fortran and GT-Power. This parameter
has a substantial influence on the brake power and less on effective
efficiency.
5.2.3. Influence of the masse fuel injected
Fig. 9 show the variation of the brake power and effective
efficiency for different masse fuel injected at advance injection of
15[degrees] bTDC, compression ratio of 16:1, and n = 1400 RPM. This
parameter has a strong influence on the brake power and less on the
effective efficiency.
The brake power and effective efficiency increases with increasing
the quantity of fuel injected. If the masse fuel injected in the
cylinder increase by 50% (from 50% to 100%), so the effective efficiency
increase of 3.5% and the brake power of 28.5%. It shows the importance
of the variation of the quantity of injected fuel on the effective power
and the brake efficiency.
[FIGURE 8 OMITTED]
[FIGURE 9 OMITTED]
6. Conclusion
This work describes a turbocharged direct injection compression
ignition engine simulator. Effort has been put into building a physical
model based on the filling and emptying method. The resulting model can
predict the engine performances. From the thermodynamic model we could
develop an interrelationship between the brake power and the effective
efficiency, related to the corresponding speed for different parameters
studied; it results an existence of a maximum power corresponding to a
state for an engine optimal speed and a maximum economy and
corresponding optimal speed. We studied the influence of certain number
of parameters on engine power and efficiency: The following parameters
as; stroke-bore ratio and the cylinder wall temperature, have a small
influence on the brake power and effective efficiency. While the angle
of start injection, mass fuel injected, compression ratio have great
influence on the brake power and effective efficiency. This analysis has
been completed by representation of the pressure diagram for various the
crankshaft angle, and the corresponding gas temperature versus
crankshaft angle. The engine simulation model described in this work is
valid for steady engine speed. In future work we aim to replace the
simple model for fraction of mass fuel burned by a predictive model, to
validate this model for transient engine speed and to take in account
gas characteristics and specific heat fluctuation.
Received June 12, 2014
Accepted January 12, 2015
References
[1.] Angulo-Brown, F.; Fernandez-Betanzos, J. and Diaz-Pico, C.A.
1994. Compression ratio of an optimized Otto-cycle model, European
journal of physics 15: 38-42.
http://dx.doi.org/10.1088/0143-0807/15A/007.
[2.] Chen, L.; Lin. J.; Lou, J.; and Wu, C. 2002. Friction effect
on the characteristic performances of Diesel engines, International
Journal of Energy Research 26: 965-971.
http://dx.doi.org/10.1002/er.820.
[3.] Merabet, A.; Feidt, M. and Bouchoucha, A. 2002. Effet du
transfert de chaleur sur les performances d'un moteur a combustion
interne atmospherique fonctionnant suivant un cycle mixte, Termotehnica
2 : 43-46. http://dx.doi.org/10.2516/ogst/2011135.
[4.] Watson, N.; Pilley, A.D.; and Marzouk M. 1980. A combustion
correlation for diesel engine simulation, In: SAE Technical Paper:
1980-800029. http://dx.doi.org/10.4271/800029.
[5.] Gogoi, T.K.; Baruah, D.C. 2010. A cycle simulation model for
predicting the performance of a diesel engine fuelled by diesel and
biodiesel blends, Energy 35(3): 1317-1323.
http://dx.doi.org/10.1016/j.energy.2009.11.014.
[6.] Tschanz, F.; Amstutz, A.; Onder, C.; Guzzella, L. 2012.
Control of diesel engines using NOx-emission feedback, International
Journal of Engine Research 18: 53-71.
http://dx.doi.org/10.1177/1468087412442323.
[7.] Heywood, J.B. 1988. Internal Combustion Engine Fundamentals,
McGraw-Hill, New york 1:135-164.
http://dx.doi.org/10.1016/S0082-0784(75) 80383-3.
[8.] Frank, W.; Frank, K.; George, R.; Emanuel, F. 2013. Integrated
Energy and Emission Management for Diesel Engines with Waste Heat
Recovery Using Dynamic Models, Oil & Gas Science and Technology Rev.
IFP Energies nouvelles: 173-178. http://dx.doi.org/10.2516/ogst/2013210.
[9.] Benson, R.S.; and Baruah, P.C. 1973. Some further tests on a
computer program to simulate internal combustion engine, SAE Technical
Paper : 730667. http://dx.doi.org/10.4271/730667.
[10.] Dec, JE. 2009. Advanced compression ignition
engines-understanding the in-cylinder processes, Proc. Combust. Inst 32
: 2727-2742. http://dx.doi.org/10.1016Zj.proci.2008.08.008.
[11.] Watson, N. 1981. Transient performance simulation and
analysis of turbocharged diesel engines, SAE Technical Paper 810338 :
162-166. http://dx.doi.org/10.1093/comjnl/24.2.162.
[12.] Galindo, J.; Arnau, F.J.; Tiseira, A.; and Piqueras, P. 2010.
Solution of the Turbocompressor boundary condition for one-dimensional
gas-dynamic codes, Mathematical and Computer Modelling 52: 1288-1297.
http://dx.doi.org/10.1016/j.mcm.2010.05.003.
[13.] Rakopoulos, C.D.; Rakopoulos, C.D.; Mavropoulos, G.C.;
Giakoumis, E.G. 2004. Experimental and theoretical study of the
short-term response temperature transients in the cylinder walls of a
diesel engine at various operating conditions, Applied Thermal
Engineering 24: 679-702. http://dx.doi.org/10.1016/j
.applthermaleng.2003.11.002
[14.] Abbe, H.; Rottengruber, S.; Seifert, M.; Ringler, J. 2013.
Dynamic
heat exchanger model for performance prediction and control system
design of automotive waste heat recovery systems, Applied Energy 105,
293-303. http://dx.doi.org/10.2516/ogst/20132115.
[15.] Gunter, P.; Christian, S.; Gunnar, S.; and Frank, O. 2006.
Simulation combustion and pollutant formation for engine-development;
New York Springer-Verlag Berlin Heidelberg, Printed in Germany. ISBN:
978-3540-25161-3 (Print) 978-3-540-30626-9 (Online)
http://dx.doi.org/10.1007/3-540-30626-9.
[16.] Sakhrieha, A.; and Abu-Nada, E. 2010. Computational
Thermodynamic Analysis of Compression Ignition Engine, International
Communications in Heat and Mass Transfer 37: 299-303.
http://dx.doi.org/10.1016/j.icheatmasstransfer.2009.11. 002.
[17.] Semin, R.B.; and Ismail, R. 2008. Investigation of Diesel
Engine Performance Based on Simulation, American Journal of Applied
Sciences 5: 610-617. http://dx.doi.org/10.3844/ajassp.
[18.] Hohenberg, G.F. 1979. Advanced approaches for heat transfer
calculations, SAE Technical Paper: 1979790825.
http://dx.doi.org/10.1016/j .applthermaleng.2003.11.002
[19.] Krieger, R.; Borman G. 1966. The computation of apparent heat
release for internal combustion engines, Proceedings of Diesel Gas
Power, ASME; 66WA/DGP-4.
[20.] Chen, S.; Flynn P. 1965. Development of a single cylinder
compression ignition reseach engine. SAE Transaction: 650733.
http://dx.doi.org/10.4271/650733.
[21.] Gamma, Technologies. 2009. GT-Power User'sManual,
GT-Suite Version 7.0; GT-Power product flyer, the Industry Standard.
Available from Internet:
http://www.gtisoft.com/img/broch/broch_gtpower.pdf.
B. Menacer *, M. Bouchetara **
* University of Sciences and the Technology of Oran Algeria, Email:
acer.msn@hotmail.fr
** University of Sciences and the Technology of Oran Algeria,
Email: mbouchetara@hotmail.com
http://dx.doi.org/10.5755/j01.mech.21.1.8690
Table 1
Injection system parameters [21]
Injectors parameters Units Values
Injection pressure [p.sub.inj] bar 1000
Start of injection bTDC [T.sub.inj] [deggres]CA 15[deggres]BTDC
Number of holes per nozzle [n.sub.inj] -- 8
Nozzle hole diameter [d.sub.inj] mm 0.25
Table 2
Engine specifications
Engine parameters Values
Bore D, mm 120.0
Stroke S, mm 175.0
Displacement volume [V.sub.d], [cm.sup.3] 1978.2
Connecting rod length l, mm 300.0
Compression ratio 16.0
Inlet valve diameter, mm 60
Exhaust valve diameter, mm 38
Inlet Valve Open IVO, [degrees]CA 314
Inlet Valve Close IVC, [degrees]CA -118
Exhaust Valve Open EVO, [degrees]CA 100
Exhaust Valve Close EVC, [degrees]CA 400
Injection timing, [degrees]CA 15[degrees] BTDC
Fuel system Direct injection
Firing order 1-5-3-6-2-4