A physicomathematical model of flow in the aspiration system of an internal combustion engine operating in a "cold" regime, i.e., for a prescribed motion of the crankshaft, has been constructed. An ideal single-species gas is used. Results of a series of calculations for a time interval of five operation cycles are presented.1. A gas-dynamic model and a calculation algorithm for the aspiration system of a four-cycle piston internal combustion engine is proposed. The aspiration system (Fig. 1) is a combination of four channels 3 that go out from a volumetric unit 2 and shut-off valves 4 that control gas overflow to cylinders 5. A throttle valve 1 ensures contact between the volumetric unit and the power source.The gas motion in the system is calculated using the one-dimensional channel flow equations with friction and heat exchange on the walls, and the laws of mass and energy conservation in the volumetric unit. The pressure and temperature of the gas in the cylinders and at the entrance to the system are assumed to be known. This problem was previously considered with some simplifications [1][2][3][4][5]. The formulation and the methods of solution of similar problems were studied [6][7][8][9].2. A system of equations that describe a one-dimensional unsteady flow of a perfect gas in a channel with friction and heat exchange on the walls is transformed to the form ; az x is the coordinate along the channel axis; F and II are the area and the perimeter of the channel cross section; U, P, T, and p are the velocity, pressure, temperature, and density of the gas; q0 is the heat flux through the side surface of the channel; ~ is the skin friction coefficient; 7 = Cp/Cv, Cp = 7R/(7 -1), Cv = R/(7 -1),
We obtain collocation nodes for a quadrangular finite element. They increase the accuracy of a collocation grid algorithm for solving an initial boundary value problem for one-dimensional parabolic second-order equations.When solving boundary value and initial boundary value problems for differential equations a wide range of different methods is used [5,8,9,13,16], which includes finite difference, projection, spectral methods, finite element methods and so on. By now efficient algorithms of different order of accuracy for problems of mathematical physics have been constructed [8,17]. Some of these algorithms are based on finite element methods.With the advent of numerical collocation (NC) methods considerable advances have been made in the area of solving boundary value problems for ordinary differential equations (ODEs) by numerical methods. Among these methods the NC method, which was first considered in [4,12,15], turns out to be most efficient. Later it was extensively studied in a lot of works (see, e.g. [2,3,18]). The NC method based on splines was realized in the package of programs COLSYS [3] for solving boundary value problems for ODEs. This method also turns out to be quite efficient in developing a program complex for solving a linear problem of stability of incompressible fluid flows [18].The NC method (NCM) has such characteristic features of the finite element method as a division of a domain of a rather complicated form into subdomains (finite elements), the availability of the canonical element, the application of the projection method. On the other hand, NC methods of solving partial differential equations (PDEs) are a generalization of the NCM to ordinary differential equations.When applying the NC approach to solutions of PDEs a number of new problems as compared to ODEs arise. First, it is a decomposition of the computational domain into subdomains. As to ODEs the decomposition is unique, viz. a decomposition into subintervals. However, there are more possibilities of such decompositions as to PDEs. In this paper we consider only a decomposition into curvilinear quadrangles.Second, consistency conditions for ODEs are imposed on each pair of neighbouring intervals only at a single point and are satisfied exactly. The boundary for PDEs is a line along which consistency conditions must be satisfied.Third, the problem of the optimal (as to error minimization) location of points of collocation and consistency in NCM for PDEs is much more complicated than that for ODEs. When studying theoretically the asymptotic error of the method De Boor and Swartz showed [6] that the nodes of the Gauss quadrature formula are the best
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