SOLUTION OF POPULATION BALANCE EQUATIONS BY MWR
SOLUTION OF POPULATION BALANCE EQUATIONS BY MWR
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MWR 求解人口平衡方程
DOI:
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发表时间:
2001
期刊:
影响因子:
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通讯作者:
D. RAMKRIsHNAt
中科院分区:
文献类型:
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作者:
N. P.;D. RAMKRIsHNAt
The population balance equation for crystallization in a continuous mixed suspension and mixed product removal crystallizer accounting for the effects of arbitrary crystal breakage (an outstanding problem) has been solved by the method of weighted residuals. The trial functions used were problem-specific polynomials generated by the Gram-Schmidt orthogonalization process with a suitable weight function in the definition of the inner product. The weight function emerged from the analytical solution of multilated versions of the original population balance equation. The methods used also included a Vorobyev’s method of moments which is essentially a variation of the method of weighted residuals. Accurate solutions were obtained with only four problem-specific polynomials thus rating these trial functions above the more standard (and traditional) choices like Laguerre polynomials with which no satisfactory solutions could be obtained even when a large number of functions were employed. Scope-Population balances[l], which are important to the description of the behavior of dispersed phase systems, have found limited applications in chemical engineering because of the difficulty in obtaining solutions to the integral or integro-differential equations which arise therefrom. Attempts in the past have concentrated in estimating the moments of the number density function appearing in the equation through the solution of moment equations[l, 2,9]. This approach has powerful limitations[3]. In this paper, efficient methods of solution have been presented to solve selected population balance equations arising in cystallization. The examples include one that has defied solution in the past. The method of solution presented in this paper is an application of the general method of weighted residuals, of which the method of moment equations referred to earlier is a special case (see, e.g. [3]), with trial functions that were constructed specifically[6]. These specific trial functions are obtained by Gram-Schmidt orthogonalization of the set (~‘7 using suitably weighted inner products. The nature of the weight functions in the inner product has been discussed before [6].