{"title":"A fully implicit low Mach number algorithm for flows with heat transfer","authors":"Ilker Topcuoglu , Xiang Yang , Robert Kunz","doi":"10.1016/j.jcp.2025.114091","DOIUrl":null,"url":null,"abstract":"<div><div>A class of implicit algorithms are presented to solve the momentum, continuity and enthalpy equations simultaneously for low Mach number flows that are driven by heat transfer and buoyancy. An exact Newton linearization is pursued, and quadratic convergence is obtained for buoyantly unstable heated perfect gas flow, with and without system acceleration. The novelty of this work is an orders of magnitude acceleration in convergence rate compared to fully segregated and partially segregated schemes that invoke Picard linearization, which exhibit linear convergence characteristics. Elements of an algebraic multigrid strategy are developed to solve the block coupled system of equations that arise. Intergrid transfer operations are based on the additive correction method, and coarse grid agglomeration is performed with anisotropic coarsening. An Incomplete LU factorization is used for smoothing error on different grid levels. A variety of low Mach number flow problems with heat transfer are studied to demonstrate convergence performance of the scheme. Quadratic convergence and significant CPU time improvements are observed for all test cases.</div></div>","PeriodicalId":352,"journal":{"name":"Journal of Computational Physics","volume":"537 ","pages":"Article 114091"},"PeriodicalIF":3.8000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Physics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021999125003742","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
A class of implicit algorithms are presented to solve the momentum, continuity and enthalpy equations simultaneously for low Mach number flows that are driven by heat transfer and buoyancy. An exact Newton linearization is pursued, and quadratic convergence is obtained for buoyantly unstable heated perfect gas flow, with and without system acceleration. The novelty of this work is an orders of magnitude acceleration in convergence rate compared to fully segregated and partially segregated schemes that invoke Picard linearization, which exhibit linear convergence characteristics. Elements of an algebraic multigrid strategy are developed to solve the block coupled system of equations that arise. Intergrid transfer operations are based on the additive correction method, and coarse grid agglomeration is performed with anisotropic coarsening. An Incomplete LU factorization is used for smoothing error on different grid levels. A variety of low Mach number flow problems with heat transfer are studied to demonstrate convergence performance of the scheme. Quadratic convergence and significant CPU time improvements are observed for all test cases.
期刊介绍:
Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries.
The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.