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Mathematical and Computer Modelling of Dynamical Systems
Methods, Tools and Applications in Engineering and Related Sciences
Volume 24, 2018 - Issue 6
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Original Articles

Modelling of the operation of a Dual Mass Flywheel (DMF) for different engine-related distortions

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Pages 643-660 | Received 09 Jan 2018, Accepted 06 Sep 2018, Published online: 19 Sep 2018

ABSTRACT

The application of Dual Mass Flywheels (DMF) was inspired by the need to reduce the level of vibrations generated by the drivetrain. The DMF input parameters are a result of the engine operation, in which the cyclicity of the subsequent strokes results in a variation of the engine speed. The fewer the cylinders the greater the engine speed variation and fluctuation of the engine torque. Additionally, the engine speed and torque variations are influenced by distortions, which is why the author attempted to develop a mathematical model of a DMF based on the motion equation. The methodology of calculations was also presented. For simplification, the moment of resistance generated by the drivetrain was assumed as constant. The simulation model checked out as correct and its sensitivity to small changes of the input parameters was confirmed. The mathematical description, despite simplifications, may find application in modelling of drivetrains fitted with DMF.

1. Introduction

A continuous advancement of the automotive industry inevitably forces an increase in the driving comfort. In terms of the suspension system, the matters related to the driving comfort have been gradually improved. A series of improvements has been introduced in the intake/exhaust systems to reduce the noise level. Modern drivetrains have been equipped with a Dual Mass Flywheel (DMF). The reason for this was that fact that the torsion dampers fitted in regular clutch discs have reached their operating limit. The increase in the engine power and torque exceeded the capacity of classic torsion damping. Since mid 1980s of the last century, the technology of dual mass flywheels has been continuously improved [Citation1Citation7].

The growing expectations related to the driving comfort forced an introduction of increasingly more efficient torsion dampers [Citation8Citation10]. The greater the engine torque, the greater the torsion vibrations of the engine due to the increasing amplitude, particularly at lower engine speeds [Citation11].

In the 1980s of the last century, LuK (Lamellen Und Kupplungsball) [Citation12] initiated research, the result of which was a development of a dual mass flywheel [Citation1,Citation12]. The new design allowed isolating the torsion vibrations of the engine from the rest of the drivetrain ().

Figure 1. Damping characteristics of the torsion dampers.

Figure 1. Damping characteristics of the torsion dampers.

In the conventional solution, the resonance occurs at approximately 1500 rpm (effective diesel engine speed). With long DMF springs, the resonance occurs at approximately 300 rpm, which is below the operating range of a combustion engine [Citation6,Citation11,Citation13]. In this way, the drivetrain vibrations are reduced. Otherwise they would be transferred on the vehicle body [Citation7,Citation9,Citation11,Citation14Citation18]. The outstanding issue is the DMF durability throughout the vehicle life cycle [Citation19,Citation20].

The principle of operation of a DMF is similar to a conventional torsion damper, fitted in the clutch disc. The difference is the increased torsion angle and fitting diameter of the springs. The engine torque is an input value on the primary mass 1 () fixed to the driveshaft with bolts and a locking pin. Then, from the primary mass the torque is transferred to the secondary mass 3 via a set of springs 2. The value of the torque is decisive of the torsion rate of the secondary mass against the primary mass and the friction among the contacting components of relative displacement is responsible for the actual damping.

Figure 2. Typical DMF used in passenger car drivetrains: 1 is the primary mass, 2 is a set of springs, 3 is the secondary mass, φ is the angle of the secondary mass torsion against the primary mass.

Figure 2. Typical DMF used in passenger car drivetrains: 1 is the primary mass, 2 is a set of springs, 3 is the secondary mass, φ is the angle of the secondary mass torsion against the primary mass.

The DMF characteristics (relation of the engine torque and the torsion angle) may be linear or non-linear [Citation5,Citation13,Citation21,Citation22]. Usually, it is progressive with a visible loop of hysteresis resulting from mutual friction of the components and the friction between the springs and the spring guides ().

Figure 3. General characteristics of the torsion damper: T(φ) is the torque transferred by the DMF (friction excluded), Tf is the value of internal friction.

Figure 3. General characteristics of the torsion damper: T(φ) is the torque transferred by the DMF (friction excluded), Tf is the value of internal friction.

The characteristics are made up with groups of springs that, depending on the increasing load, may individually engage [Citation2,Citation8,Citation23]. The determination of the characteristics of a DMF is performed on special measurement stands generating swinging shocks [Citation5,Citation13,Citation21].

An example solution of such a stand has been presented in . The components are based on frame 1 (). Driving motor 2 transfers the torque to lever system 5 (the lever forces the swinging motion of the input shaft connected with primary mass 7) through clutch 3 and reducer 4 (the secondary mass is still). Torque meter 6 reads the current value of torque and rotary encoder 8 refers it to the instantaneous torsion angle. The signals are recorded and processed using measurement card 9 and computer 10 with dedicated software [Citation13].

Figure 4. Example measurement stand: 1 – frame, 2 – driving motor, 3 – clutch, 4 – reducer, 5 – connecting rod, 6 – torque meter, 7 – Dual Mass Flywheel (DMF), 8 – rotary encoder, 9 – measurement card, 10 – computer with dedicated software.

Figure 4. Example measurement stand: 1 – frame, 2 – driving motor, 3 – clutch, 4 – reducer, 5 – connecting rod, 6 – torque meter, 7 – Dual Mass Flywheel (DMF), 8 – rotary encoder, 9 – measurement card, 10 – computer with dedicated software.

A general mathematical description of the DMF static characteristics with constant internal friction may be expressed with [Citation13]:

(1) TDMF(ϕ)=T(ϕ)+Tfsgndϕdt(1)

where TDMF(φ) is the torque transferred by the DMF (friction included), dφ/dt is the angular speed of the secondary mass torsion against the primary mass.

The obtained DMF characteristics are applied in modelling of the vehicle drivetrain operation [Citation7]. To this end, an attempt was made to develop a simplified mathematical model of the DMF – based drivetrain for different variants of distortions from the engine. The distortions mainly result from the operation of individual cylinders following uneven fuel dosage [Citation24].

A dual mass flywheel additionally generates issues in misfire identification [Citation25] or an accurate analysis of the engine torque curve [Citation26].

2. Mathematical modelling

Both the range and level of complication of the mathematical model describing the DMF operation may slightly vary [Citation2,Citation5,Citation6,Citation27], which is why the author attempted to simplify it. For the description of the model, a diagram was adopted, as shown in .

Figure 5. Diagram adopted for the mathematical model.

Figure 5. Diagram adopted for the mathematical model.

2.1. Engine

The electric input and output signals of the Piston-Connecting rod-Crankshaft (PCC) assembly have been shown in . From the above, we know that both angular velocity signal ω1 and engine torque signal Tr must contain information on the correctness of the process p1).

Figure 6. Input and output signals in the Piston-Connecting rod-Crankshaft (PCC) system.

Figure 6. Input and output signals in the Piston-Connecting rod-Crankshaft (PCC) system.

The course of energy transformation in PCC with rotary input can be described [Citation28];

(2) ω1α1Trsα1=a11a12a21a22pα1Vα1(2)

In Equation (2) ω and Tr are measures of vectors ω and Tr, while the square matrix [aij] describes the transmittance of the model of the object under consideration. Tr is the moment of the gas and inertia forces transferred from the connecting rod to the crank.

The rate of change in volume will be:

(3) Vα1=dVα1dt=dVα1dα1dα1dt=V\lsquoα1ω1α1(3)

where V1) is function changes the volume of the chamber above the piston (4-stroke engine α∈<0; 4π); V`(α1) is geometric rate of change of volume; ω1 = dα1/dt is angular speed of the crankshaft.

Velocity of the piston will:

(4) vα1=Vα1Ap(4)

where v1) is piston speed, Ap is piston area.

The energy flow at the input:

(5) PeINPUTα1=pα1Vα1(5)

where p1) is the pressure course in the cylinder as a function of the angular position of the engine crankshaft.

The energy flow at the output:

(6) PeOUTPUTα1=ω1α1Trsα1(6)

or as a function of time t:

(7) PeOUTPUTt=ω1tTrst(7)

wherein:

(8) t0;πτω1av(8)

where τ is the number of revolutions per working cycle (4-stroke engine τ = 2).

The average cycle angular speed can be write:

(9) ω1av=1τπ0τπω1α1dα1(9)

The average power in the cycle will be:

(10) Pe=1τπα1=0α1=τπPeα1dα10(10)

The kinematics of the system shows the dependence:

(11) ω1α1=a11pα1+a12DVα1(11)
(12) DVα1=dVα1dt=πDc24dxα1dt=FtDxα1(12)

where D is the operator of differentiation versus time (DVα1=Vα1, Dxα1=xα1=vα1); Dc is diameter of the cylinder; x is displacement of the piston.

From the PCC layout geometry () it appears that:

(13) xα1=R1cosα1+L11λ2sin2α1(13)

Figure 7. The forces in the Piston-Connecting rod-Crankshaft (PCC) system.

Figure 7. The forces in the Piston-Connecting rod-Crankshaft (PCC) system.

or an approximate equation of the piston path:

(14) xα1=R1cosα1+λ41cos2α1(14)

where R is the crank radius, L is the length of the connecting rod, λ is the connecting rod coefficient L/R.

therefore:

(15) DVα1=ApRω1α1sinα1+λ2sin2α1(15)

By adopting a perfectly rigid system:

(16) a11=0a12=RApsinα1+λ2sin2α11(16)

The torque equation will take the form:

(17) Trs=a21p(α1)+a22DVα1(17)

Vector equation () describing the movement of the piston:

(18) Fg+Fk+N=mAa(18)

however, the acceleration will be:

(19) a=x=DVα1Ap(19)

The gas force acting on the piston:

(20) Fg=pα1Api(20)

where i – see .

The force acting in the connecting rod axis:

(21) Fk=Fg+Fbcosβ1l(21)

where l – see .

The resistance force of mass inertia in reciprocating motion:

(22) Fb=mAx(22)

where mA is the weight of the PCC components involved in the reciprocal motion (piston mass, gudgeon pin with protection, piston rings and part of connecting rod mass).

Moment Trs is the result of the tangential force Pt acting on the crank ():

(23) Tr   s=R×Ft=(r×t)Fg+FbRsinα1+β1cosβ1(23)

The summing up of the curves of torque generated by the gas force and the moment of inertia of the rotational masses will determine the total engine torque. Because r×= -k ():

(24) Tr   s=R(Fg+Fb)sinα1+β1cosβ1k(24)

where k – see .

or

(25) Tr=RApsinα1+β1cosβ1p(α1)RmAsinα1+β1Apcosβ1Vα1(25)

So the words of the matrix [aij]:

(26) a21=RApsinα1+β1cosβ1a22=RmAApsinα1+β1cosβ1(26)

The general equation of the energy process in PCC:

(27) ω1α1Trsα1=0;.RApsinα1+λ2sin2α11RApsinα1+β1cosβ1;RmAApsinα1+β1cosβ1pα1Vα1(27)

In four stroke, four cylinder engines, in which the work cycle involves two full crankshaft revolutions (angle 4π) and even distribution of ignitions, the crankshaft turns by the angle of π.

The Sx1) function for the four-cylinder engine will be:

(28) S1α1=S3α1=λsin2α12λ2sin2α1+sinα1(28)
(29) S2α1=S4α1=λsin2α12λ2sin2α1sinα1(29)

while:

(30) cosαx+λcos2αx=cosα1+λcos2α1cosα1+λcos2α1forx=1x=3x=2x=4(30)
(31) sinαx+λ2sin2αx=sinα1+λ2sin2α1sinα1+λ2sin2α1forx=1x=3x=2x=4(31)

After each ignition and the pressure curves can be written as:

(32) p1=p(α1);p3=p(α1+π);p4=p(α1+2π);p2=p(α1+3π)(32)

The equation of torque instantaneously generated by the engine at a constant load can be presented in the form [Citation9,Citation29]:

(33) Tr=x=1x=4Tr=sinα1+λsin2α12λ2sin2α1p(α1)+p(α1+2π)++sinα1+λsin2α12λ2sin2α1p(α1+π)+p(α1+3π)+2R2mAsin2α1+λ2sin4α12λ2sin2α1ω122R2mA2sin2α1+λ2sin22α12λ2sin2α1ε1(33)

where α1 is the angle of crankshaft rotation, ω1 is the angular speed, ε1 is the crankshaft acceleration.

At times, when the instantaneous torque is greater than the average one the instantaneous speed increases. When the average torque is greater, the instantaneous crankshaft speed decreases. This is the result of the fact that mechanical work of the engine is equal with the increase in the kinetic energy accumulated in the rotating masses of the engine components, including the flywheel. When we compare the work and the energy, we may calculate the instantaneous angular crankshaft speed [Citation28,Citation29]:

(34) ωi=ωi12+2TrΔα1JEΣ,(34)

The mass moment of inertia of the rotating elements of the engine will be:

(35) JEΣ=JC+JDMF1+x=14mBR2,(35)

Simplistically [Citation29]:

(36) JEΣ=0.64mBR2,(36)

where JC is the crankshaft mass moment of inertia, JDMF1 is the DMF primary mass moment of inertia, mB is the replacement mass of the part of the connecting rod rotating on radius R of the x-th crank.

2.2. Dual Mass Flywheel (DMF)

If we want to describe the operation of a dual mass flywheel we can utilise on the motion equation for the case presented in . The equation takes the form [Citation13,Citation30Citation32]:

(37) JEΣα2=JDΣα1Tα1α2Tfsgnα1α2(37)

where JEΣ is the moment of inertia of the engine rotating masses including the DMF primary mass DMF; JDΣ is the moment of inertia of the drivetrain rotating masses including the DMF secondary mass DMF; T12) is the torque transferred by the DMF, Tf is the moment of clutch friction; α1,α1,α1 are acceleration; angular speed and angle of rotation of the masses related to JEΣ; α2,α2,α2 are acceleration; angular speed and angle of rotation of the masses related to JDΣ.

2.3. Transmission

For the purpose of simplification, the moment of resistance generated by the drivetrain can be assumed as constant.

3. Input data, initial conditions

A flywheel of the characteristics shown in was selected for research.

Figure 8. DMF characteristics.

Figure 8. DMF characteristics.

The moment of friction can be assumed at Tf = 26.84 N· m while the torque transferred by the DMF (friction excluded) has been described in [Citation13]:

(38) Tα1α2=6.196α1α2+33.360forα1α25.3800for5.380<α1α2<5.3806.196α1α233.360forα1α25.380(38)

The input curves of pressure inside the cylinder (indicator graphs) necessary to determine the instantaneous engine speed have been shown in . The individual variants are: regular combustion, knock combustion, misfire and blow-by [Citation33].

Figure 9. The curves of the indicated pressures.

Figure 9. The curves of the indicated pressures.

The outstanding data necessary to initiate the calculations have been presented in .

Table 1. Input data.

For each simulation, the author assumed that a distortion from the engine would be generated in the third cylinder. The moment of resistance was constant and had the value corresponding to the average value from the entire curve.

In the beginning of the calculations, for each of the calculated cases, curves of engine torque and speed were generated (based on the angular speed) ().

Figure 10. Curves of the pressure in cylinders, engine torque and speed (I, II, III and IV – cylinder).

Figure 10. Curves of the pressure in cylinders, engine torque and speed (I, II, III and IV – cylinder).

Where n1 is the rotation speed of the engine and the DMF primary mass:

(39) n1α1=ω1α12π(39)

4. Results and discussion

The calculations were performed using Matlab-Simulink. For the Equation (33) a block diagram was drawn . The differential Equation (37) was solved numerically with the implicit trapezoidal method combined with reverse differentiation (accuracy 1e-12). For the Equation (37), the input instantaneous engine speed was linearly interpolated for the required moment of time. Input data are the angular speed of rotation of the engine and the DMF primary mass. Output – angular speed of rotation of the DMF secondary mass and the drivetrain. The angular speed of rotation was calculated to rotation speed.

Figure 11. Block diagram – Matlab-Simulink.

Figure 11. Block diagram – Matlab-Simulink.

As a result of the performed calculations, curves of angular speeds were obtained as a function of time referred to the DMF primary and secondary masses. For better understanding, the results are presented in relation to the engine speed ().

Figure 12. Example speed curves of the DMF primary and secondary masses.

(distortion 2 in the third cylinder – knock combustion).

Figure 12. Example speed curves of the DMF primary and secondary masses.(distortion 2 in the third cylinder – knock combustion).

We can see varied values of the DMF angular displacements () depending on the adopted distortion variant. It is particularly the knock combustion and misfire that generate excess ‘work’ of the DMF, which results from the consequent engine work cycles.

Figure 13. DMF operating range depending on the variant – distortion in the third cylinder.

Figure 13. DMF operating range depending on the variant – distortion in the third cylinder.

The differences in the speeds for different variants of distortions generated by the engine presented in confirm the sensitivity of the model to small variations of the input signals.

Figure 14. Differences in the speeds of the primary and secondary masses for the analysed variants of distortions in the third cylinder.

Figure 14. Differences in the speeds of the primary and secondary masses for the analysed variants of distortions in the third cylinder.

From the obtained results of the calculations () we may evaluate the operation of the DMF. A coefficient that can be used for this purpose is the coefficient of irregularity of engine operation described with the relation:

(40) δ=ωmaxωminωmean=nmaxnminnmean,(40)

where: nmax is the maximum engine speed, nmin is the minimum engine speed, nmean is the average engine speed in the investigated period of time.

The percentage difference was calculated by determining δ for both masses and comparing them (distortion in the third cylinder):

  • regular combustion – 74.9 % at Tmean = 43.3 Nm and ωmean = 104.0 rad/s,

  • knock combustion – 74.5 % at Tmean = 52.4 Nm and ωmean = 103.9 rad/s,

  • misfire – 72.7 %, at Tmean = 32.4 Nm and ωmean = 105.3 rad/s,

  • blow-by – 74.7 % at Tmean = 40.1 Nm and ωmean = 104.0 rad/s.

Each time it was necessary to modify the average speed of the onset of calculations due to the differences in the final average-cycle speed of the DMF secondary mass.

The above confirms the applicability of the proposed mathematical description of the operation of the DMF. In order to perform a more detailed analysis the model should be supplemented with the determination of the indicator graph that, in this case, was adopted based on the example pressure curves inside the cylinder of a combustion engine determined on an engine test bed. The tests on the engine test bed are performed with a preset braking moment on the engine crankshaft without the operation of the DMF, which, as proved in [Citation11] may be impactful on the final evaluation.

In the further part of the investigations, calculations for variants presented in were performed.

Table 2. Input data (distortions according to ).

The curves of the input engine speeds have been shown in .

Figure 15. The curves of the input engine speeds according to .

Figure 15. The curves of the input engine speeds according to Table 2.

Following the performed calculations, differences in the angular, hence rotational speeds were obtained (). By calculating δ for both masses and comparing them, we may determine the percentage differences. For individual variants they were:

  • V-1 – 66.4 % at Tmean = 95.4 Nm and ωmean = 100.3 rad/s,

  • V-2 – 74.6 % at Tmean = 35.8 Nm and ωmean = 103.9 rad/s

  • V-3 – 65.4 %, at Tmean = 73.4 Nm and ωmean = 102.1 rad/s,

  • V-4 – 64.2 % at Tmean = 55.0 Nm and ωmean = 102.6 rad/s.

Figure 16. Differences in the speeds of the primary and secondary masses according to .

Figure 16. Differences in the speeds of the primary and secondary masses according to Table 2.

Beside the speeds, operating ranges of the DMF for each analysed variants were also determined ().

Figure 17. DMF operating range depending on the variant from .

Figure 17. DMF operating range depending on the variant from Table 2.

5. Conclusions

As a result of the performed calculations, the applicability of the proposed mathematical model of operation of a dual mass flywheel was confirmed. Despite significant model simplification and the introduction of the indicated pressure curves along with the DMF characteristics as input data, the model sensitivity to small changes in the input parameters was confirmed. Additionally, the adequacy of the model was verified for different variants of engine related distortions i.e. misfires, cylinder blows–by or knock combustion.

Calculations were also performed for different configurations of the distortions in four consecutive cylinders. Based on the value of the engine irregularity coefficient, it was observed that the occurrence of extreme cases such as misfires or knock combustion determine the DMF operation. This is of particular significance for diesel engines that very often operate on the verge of knock combustion.

The model can be supplemented (as a replacement for the characteristics of the actual object) with calculations of the spring rigidity for different materials or damping parameters.

Acknowledgments

The research has been carried out within work no. S/WM/1/2018 realised at Bialystok University of Technology and financed from the funding allocated for science by the Ministry of Science and Higher Education.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

The research has been carried out within work no. S/WM/1/2018 realised at Bialystok University of Technology and financed from the funding allocated for science by the Ministry of Science and Higher Education.

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