A Parallel Adaptive Mesh Refinement Scheme For Predicting Laminar Diffusion Flames Microform

Download or read book A Parallel Adaptive-mesh Refinement Scheme for Predicting Laminar Diffusion Flames [microform] written by Scott A. (Scott Andrew) Northrup and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2004 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: A parallel block-based adaptive mesh refinement (AMR) scheme is described and applied to the prediction of the structure of non-premixed axisymmetric methane-air laminar diffusion flames. The parallel solution-adaptive algorithm solves the system of partial-differential equations governing two-dimensional axisymmetric compressible laminar flows for reactive thermally perfect gaseous mixtures. A finite-volume spatial discretization procedure is used to solve the equations on a body-fitted multi-block quadrilateral mesh. Limited piecewise linear solution reconstruction and Riemann solver based flux functions are used to evaluate the inviscid fluxes and a centrally weighted second-order discretization procedure is adopted for determining the viscous fluxes. A flexible block-based hierarchical data structure facilitates mesh adaptation, and enables efficient and scalable implementations of the algorithm on multi-processor architectures via domain decomposition. Numerical results are discussed for a co-flow laminar diffusion flame demonstrating the validity of the parallel AMR approach and the ability of the mesh adaption scheme to resolve fine-scale features of the solution.