Abstract
The gradually increasing complexity of the processing models and necessity to simulate in higher dimensions persistently challenge computational efficiency of the modern process simulators. In this paper, an outlook on the current status and trends in numerical techniques for efficient multidimensional bulk process simulation is given. Grid generation, grid adaptation, discretization and solving techniques are considered as the principle numerical building blocks of modern process simulation tools. The major task and obstacles for each of these numerical segments are recognized and some recently proposed techniques to circumvent current limitations as well as possible directions for future research are discussed.
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