Abstract

The advances made in computational algorithms, computing power and visualization tools are motivating researchers to develop new numerical models or enhance the predictive abilities of existing numerical models. These advances include a combination of enhanced flow equations, improved discretization techniques that reduce the flow equations to algebraic equations, grid methodology, a better understanding of the flow phenomena, highperformance computers, optimization tools, interfaces to enter and process the data input, post-processor visualization and analysis tools. These next-generation computational models are facilitating in capturing the flow physics at various spatial and temporal scales that were not possible until two decades back, primarily due to limitations in computing power. As this limitation eases, numerical modeling will continue to be at the forefront for advancing the frontiers of knowledge across all modeling disciplines.