RECENT ADVANCES AND TRENDS IN NUMERICAL TECHNIQUES FOR PROCESS SIMULATION

The gradually increasing complexity of the processing models and neces sity to simulate in higher dimensions persistently challenges computat ional efficiency of the modern process simulators. In this paper, an o utlook on the current status and trends in numerical techniques for ef ficient multidimensional bulk process simulation is given. Grid genera tion, grid adaptation, discretization and solving techniques are consi dered as the principle numerical building blocks of modern process sim ulation tools. The major task and obstacles for each of these numerica l segments are recognized, and some recently proposed techniques to ci rcumvent current limitations, as well as possible directions for futur e research are discussed. (C) 1995 IEEE. Published by Elsevier Science Ltd.