Abstract
A wide range of dynamic models, including those of heating, evaporation and ignition processes in fuel sprays, is characterised by large differences in the rates of change of variables. Invariant manifold theory is an effective technique for investigation of these systems. In constructing the asymptotic expansions of slow invariant manifolds, it is commonly assumed that a limiting algebraic equation allows one to find a slow surface explicitly. This is not always possible due to the fact that the degenerate equation for this surface (small parameter equal to zero) is either a high degree polynomial or transcendental. In many problems, however, the slow surface can be described in a parametric form. In this case, the slow invariant manifold can be found in parametric form using asymptotic expansions. If this is not possible, it is necessary to use an implicit presentation of the slow surface and obtain asymptotic representations for the slow invariant manifold in an implicit form. The results of development of the mathematical theory of these approaches and the applications of this theory to some examples related to modelling combustion processes, including those in sprays, are presented.
Similar content being viewed by others
Notes
Since the slow invariant manifold is attractive and \(0< \gamma \ll 1\), the trajectory approaches the manifold very quickly after the initial instant of time and then follows it. Thus, the effect of the initial perturbations is expected to be lost in the long term. Note that an analytical solution, uniformly valid for \(t\ge 0\), could be found based on the matched asymptotic expansion [24] or multiple-scale expansion [25].
References
Sazhina EM, Sazhin SS, Heikal MR, Babushok VI, Johns R (2000) A detailed modelling of the spray ignition process in diesel engines. Combust Sci Technol 160:317–344
Zaripov TS, Gilfanov AK, Begg S, Rybdylova O, Sazhin SS, Heikal MR (2017) The fully Lagrangian approach to the analysis of particle/droplet dynamics: implementation into ANSYS FLUENT and application to gasoline sprays. At Sprays 27:493–510
Zaripov TS, Rybdylova O, Sazhin SS (2018) A model for heating and evaporation of a droplet cloud and its implementation into ANSYS Fluent. Int Commun Heat Mass Transf 97:85–91
Sazhin SS (2014) Droplets and sprays. Springer, London
Sazhin SS, Feng G, Heikal MR, Goldfarb I, Goldshtein V, Kuzmenko G (2001) Thermal ignition analysis of a monodisperse spray with radiation. Combust Flame 124:684–701
Strygin VV, Sobolev VA (1976) Effect of geometric and kinetic parameters and energy dissipation on the orientation stability of satellites with double spin. Cosm Res 14:331–335
Strygin VV, Sobolev VA (1977) Asymptotic methods in the problem of stabilization of rotating bodies by using passive dampers. Mech Solids 5:19–25
Sobolev VA, Strygin VV (1978) Permissibility of changing over to precession equations of gyroscopic systems. Mech Solids 5:7–13
Gol’dshtein VM, Sobolev VA (1988) A qualitative analysis of singularly perturbed systems. Institut matematiki SO AN SSSR, Novosibirsk (in Russian)
Kononenko LI, Sobolev VA (1994) Asymptotic expansion of slow integral manifolds. Sib Math J 35:1119–1132
Shchepakina E, Sobolev V, Mortell MR (2014) Singular perturbations: introduction to system order reduction methods with applications. Springer lecture notes in mathematics, vol 2114. Springer, Berlin
Maas U, Pope SB (1992) Simplifying chemical kinetics: intrinsic low-dimensional manifolds in composition space. Combust Flame 88:239–264
Fraser SJ (1988) The steady state and equilibrium approximations: a geometric picture. J Chem Phys 88:4732–4738
Roussel MR, Fraser SJ (1990) Geometry of the steady-state approximation: perturbation and accelerated convergence method. J Chem Phys 93:1072–1081
Kaper HG, Kaper TJ (2002) Asymptotic analysis of two reduction methods for systems of chemical reactions. Physica D 165:66–93
Goldfarb I, Sazhin SS, Zinoviev A (2004) Delayed thermal explosion in flammable gas containing fuel droplets: asymptotic analysis. J Eng Math 50:399–414
Goldfarb I, Goldshtein V, Katz D, Sazhin SS (2007) Radiation effect on thermal explosion in a gas containing evaporating fuel droplets. Int J Therm Sci 46:358–370
Shchepakina E, Sobolev V, Sazhin SS (2016) System order reduction methods in spray ignition problems. In: de Sercey G, Sazhin SS (eds) Proceedings of the 27th European conference on liquid atomization and spray systems. Paper P-03
Sazhin SS, Shchepakina E, Sobolev V (2018) Order reduction in models of spray ignition and combustion. Combust Flame 187:122–128
Gray BF (1973) Critical behaviour in chemical reacting systems: 2. An exactly soluble model. Combust Flame 21:317–325
Gorelov GN, Sobolev VA (1991) Mathematical modeling of critical phenomena in thermal explosion theory. Combust Flame 87:203–210
Gorelov GN, Shchepakina EA, Sobolev VA (2006) Canards and critical behavior in autocatalytic combustion models. J Eng Math 56:143–160
Sazhin SS (2017) Modelling of fuel droplet heating and evaporation: recent results and unsolved problems. Fuel 196:69–101
O’Malley RE Jr (1974) Introduction to singular perturbations. Academic Press, New York
Johnson RS (2005) Singular perturbation theory. Springer, New York, p 263
Bisswanger H (2017) Enzyme kinetics: principles and methods, 3rd edn. Wiley-VCH, Weinheim
Acknowledgements
E. Shchepakina was supported by the Ministry of Education and Science of the Russian Federation (Project RFMEFI58716X0033). S. Sazhin was supported by EPSRC (UK) (grant EP/M002608/1).
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
1.1 Effective methods of parameterisation
1.1.1 Case \(m=n\)
Let us assume that the degenerate equation (3) can be solved with respect to x in the form \(x = \chi _0(y)\) and matrices \(A(y)={\partial \chi _0(y)}/{\partial y}\) and \(B(y)=g_x (\chi _0(y),y)\) are invertible with bounded norms of inverse matrices. In this case, the fast variable y can be chosen as a parameter, and the slow invariant manifold of the system (2) can be found in the following parametric form:
From (2) and (47), we obtain the invariance equation:
Using the asymptotic representations
and the assumption that \(g(\chi _0,y)=0\), Eq. (48) allows us to obtain the following equation:
Hence
Thus, we obtain the first-order approximation to the slow invariant manifold in the following form:
The higher-order approximations can be obtained in a similar way.
Returning to the classical combustion problem, described by Eqs. (17) and (18), consider the degenerate equation (19) which implies that
Fast variable \(\theta \) is used as parameterising variable v, see Sect. 2.2.
In the general case when
we can rewrite Eq. (18) as
Remembering that \(\eta =\chi (\theta )\) does not explicitly depend on time, we have \({\partial \chi }/{\partial t}=0\). This allows us to simplify Eq. (24) to
Remembering the definition of F in (49), we can rewrite Eq. (50) as
Equating the coefficients before powers of \(\varepsilon \), we find
Hence, explicit formulae for \(\chi _1\) and \(\chi _2\) can be presented as
This allows us to obtain the following expression for \(\eta \):
This representation is correct outside a certain neighbourhood of \(\theta =1\). It gives us an approximation of the attractive (repulsive) one-dimensional slow invariant manifold if \(0\le \theta <1\) (\(\theta >1\)).
1.2 Case \(m<n\)
Let us present vector y in the form \(y=(y_1,y_2)^T\), where \(\dim y_1=n-m\) and \(\dim y_2=m\), and vector g in the form \(g=(g_1,g_2)^T\), where \(\dim g_1=n-m\) and \(\dim g_2=m\). In this case, the system (2) can be rewritten as
Let us assume that the solution to the degenerate equation \(g(x,y)=0\) can be presented as
In this case, the slow invariant manifold can be found in the following parametric form:
From (52) and (51), we have the following invariance equations:
These equations can be rewritten as
where \(A_1(y_2)={\partial \chi _0(y_2)}/{\partial y_2}\), \(A_2(y_2)= {\partial \psi _0(y_2)}/{\partial y_2}\).
When deriving (53) and (54) the following asymptotic representations for \(\chi (y_2,\varepsilon )\), \(\psi (y_2,\varepsilon )\), \(f(\chi ,\psi , y_2)\), \(g_1(\chi ,\psi , y_2)\), and \(g_2(\chi ,\psi , y_2)\) were used:
where
The system (53) and (54) is a linear algebraic system for \(\chi _1(y_2)\) and \(\psi _1(y_2)\). If the determinant of this system is not equal to zero, we can find the first approximation to the slow invariant manifold in the following form:
The higher-order approximations can be obtained in a similar way.
1.3 Case \(m>n\)
Let us present vector x in the form \(x=(x_1,x_2)^T\), where \(\dim x_1=n\) and \(\dim x_2=m-n\), and vector f in the form \(f=(f_1,f_2)^T\), where \(\dim f_1=n\) and \(\dim f_2=m-n\). In this case, the system (2) can be rewritten as
Let us assume that the solution to the degenerate equation \(g(x,y)=0\) can be presented as \(x_1=\chi _0(x_2,y).\) In this case, the slow invariant manifold can be found in the following parametric form:
From (56) and (55), we obtain the invariance equation
From (57), we obtain as follows:
When deriving (58), the following asymptotic representations for \(\chi \), \(f_1\), \(f_2\), and g were used:
where \(L(x_2,y)= {\partial \chi _0}/{\partial y}\), \(M(x_2,y)=g_{x_1}(\chi _{0},x_2,y)\). Assuming that matrices L and M are invertible, function \(\chi _1=\chi _1(x_2,y)\) can be found in the following form:
The higher-order approximations can be obtained in a similar way.
Let us illustrate this approach in the case of a system of three differential equations, which can be considered as a simplified version of the system describing spray combustion analysed in Sect. 3.
This system has an attractive slow invariant manifold since (see the condition (16))
The degenerate equation
cannot be solved with respect to the fast variable y, but it can be solved with respect to one of the slow variables \(x_1\) or \(x_2\). Thus, the fast variable y and the slow variable \(x_2\) can be chosen as parameters and the slow invariant manifold can be represented in the form
where \(\chi _0(x_2,y)=-y-\mathrm{e}^y-x_2\). The flow on this manifold is described by the equations
The invariance equation
in this case can be presented as
This equation can be rewritten as
Equating the coefficients before the powers of \(\varepsilon \) we obtain
When deriving these equations, we took into account that \({\partial \chi _0}/{\partial y}=-1-\mathrm{e}^y.\)
Note that in all cases considered so far, some system variables are used for the parameterisation of slow invariant manifolds. In some cases, however, this approach turned out to be impossible or ineffective. This is illustrated for the following system of equations:
The parametric form of the slow invariant manifold for this system can be presented as
where \(r=\sqrt{9-\varepsilon ^2}\), \(\theta \) is the polar angle. The flow on this slow invariant manifold is described by the equation \(\dot{\theta }=-2\).
The implicit form of this slow invariant manifold can be described by the following equation:
The part of this ellipse, shown in Fig. 3, with \(y<0\) is attractive, and the part with \(y>0\) is repulsive.
Rights and permissions
About this article
Cite this article
Sazhin, S.S., Shchepakina, E. & Sobolev, V. Parameterisations of slow invariant manifolds: application to a spray ignition and combustion model. J Eng Math 114, 1–17 (2019). https://doi.org/10.1007/s10665-018-9976-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10665-018-9976-4