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Numerical Methods of Analysis

A small cubical furnace 50 by 50 by 50 cm on the inside is constructed of fireclay brick [A = 1.04 W/m °C] with a wall thickness of 10 cm. The inside of the furnace is maintained at 500°C, and the outside is maintained at 50°C. Calculate the heat lost through the walls. [Pg.83]

We compute the total shape factor by adding the shape factors for the walls, edges, and corners  [Pg.83]

There are six wall sections, twelve edges, and eight corners, so that the total shape [Pg.83]

An immense number of analytical solutions for conduction heat-transfer problems have been accumulated in the literature over the past 100 years. Even so, in many practical situations the geometry or boundary conditions are such that an analytical solution has not been obtained at all, or if the solution has been developed, it involves such a complex series solution that numerical evaluation becomes exceedingly difficult. For such situations the most fruitful approach to the problem is one based on finite-difference techniques, the basic principles of which we shall outline in this section. [Pg.83]

Consider a two-dimensional body which is to be divided into equal increments in both the x and y directions, as shown in Fig. 3-5. The nodal points are designated as shown, the m locations indicating the x increment and the n locations indicating the y increment. We wish to establish the temperatures at any of these nodal points within the body, using Eq. (3-1) as a governing condition. Finite differences are used to approximate differential-increments in the temperature and space coordinates and the smaller we choose these finite increments, the more closely the true temperature distribution will be approximated. [Pg.83]


The following details establish reactor performance, considers the overall fractional yield, and predicts the concentration profiles with time of complex reactions in batch systems using the Runge-Kutta numerical method of analysis. [Pg.262]

The fast Fourier transform can be carried out by rearranging the various terms in the summations involved in the discrete Fourier transform. It is, in effect, a special book-keeping scheme that results in a very important simplification of the numerical evaluation of a Fburier transform. It was introduced into the scientific community in the mid-sixties and has resulted in what is probably one of the few significant advances in numerical methods of analysis since the invention of the digital computer. [Pg.174]

Knowledge of these types of reactors is important because some industrial reactors approach the idealized types or may be simulated by a number of ideal reactors. In this chapter, we will review the above reactors and their applications in the chemical process industries. Additionally, multiphase reactors such as the fixed and fluidized beds are reviewed. In Chapter 5, the numerical method of analysis will be used to model the concentration-time profiles of various reactions in a batch reactor, and provide sizing of the batch, semi-batch, continuous flow stirred tank, and plug flow reactors for both isothermal and adiabatic conditions. [Pg.220]

Antsiferov, E. G., Kaganovich, B. M., Semeney, P. T. and Takayshwily, M. K., "Search for the Intermediate Thermodynamic States of Physicochemical Systems. Numerical Methods of Analysis and their Applications", pp. 150-170. SEI SO AN SSSR, Irkutsk (1987). (in Russian). [Pg.72]

The basic aim of the book is to present a discussion of some currently available methods for predicting convective heat transfer rates. The main emphasis is, therefore, on the prediction of heat transfer rates rather than on the presentation of large amounts of experimental data. Attention is given to both analytical and numerical methods of analysis. Another aim of the book is to present a thorough discussion of the foundations of the subject in a clear, easy to follow, student-oriented style. [Pg.630]

From the end of sixties, the principal studies in the theory of chemical technology were based on mathematical and physical modelling of the total set of superimposed processes. Vigorous development of computers and numerical methods of analysis promoted a fast development of investigations and continuous complication of models, which enable us to percive new details of the processes. At present, the fundamental physical principles and phenomena are understood in principle, mathematical models of processes have been developed in the main types of reactors, the fields of their application have been determined and computational methods for solution and analysis have been defined. Since the mid 1970s, the main attention of the researchers has been attracted to the study of the peculiarities of processes. [Pg.112]


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