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Journal of Flow Visualization and Image Processing

Published 4 issues per year

ISSN Print: 1065-3090

ISSN Online: 1940-4336

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00013 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

Indexed in

AN ADAPTIVE THREE-DIMENSIONAL MESH REFINEMENT METHOD BASED ON THE LAW OF MASS CONSERVATION

Volume 14, Issue 4, 2007, pp. 375-395
DOI: 10.1615/JFlowVisImageProc.v14.i4.30
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ABSTRACT

Mesh generation is one of key issues in Computational Fluid Dynamics. This paper presents an adaptive three-dimensional mesh refinement method based on the law of mass conservation. The method can be applied to a governing system that includes the law of mass conservation (continuity equation) for incompressible or compressible steady flows. Users can choose how many refinements they want to perform on the initial mesh. The more the number of refinements, the less the error of calculations is. The refined meshes can identify the accurate locations of asymptotes, the points at which one, two, or all components of velocity fields are equal to zero, and draw accurate closed streamlines if the number of refinements is big enough and the initial mesh is fine enough. We show three examples that demonstrate the claims.

CITED BY
  1. Lal Rajnesh, Li Zhenquan, Sensitivity analysis of a mesh refinement method using the numerical solutions of 2D lid-driven cavity flow, Journal of Mathematical Chemistry, 53, 3, 2015. Crossref

  2. Li Zhenquan, Wood Robert, Accuracy analysis of an adaptive mesh refinement method using benchmarks of 2-D steady incompressible lid-driven cavity flows and coarser meshes, Journal of Computational and Applied Mathematics, 275, 2015. Crossref

  3. Li Zhenquan, Accuracy analysis of a mesh refinement method using benchmarks of 2-D lid-driven cavity flows and finer meshes, Journal of Mathematical Chemistry, 52, 4, 2014. Crossref

  4. Li Zhenquan, Lal Rajnesh, An Application of a Mesh Refinement Method Based on the Law of Mass Conservation, 2010 International Conference on Computational and Information Sciences, 2010. Crossref

  5. Crowhurst P., Zhenquan Li , Numerical Solutions of One-Dimensional Shallow Water Equations, 2013 UKSim 15th International Conference on Computer Modelling and Simulation, 2013. Crossref

  6. Li Zhenquan, Crowhurst Peter, Wood Robert, Error Driven Node Placement as Applied to One Dimensional Shallow Water Equations, 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim), 2015. Crossref

  7. Li Zhenquan, Wood Robert, Accuracy verification of a 2D adaptive mesh refinement method for incompressible or steady flow, Journal of Computational and Applied Mathematics, 318, 2017. Crossref

  8. Li Zhenquan, Li Miao, Accuracy Verification of a 2D Adaptive Mesh Refinement Method Using Backward-Facing Step Flow of Low Reynolds Numbers, International Journal of Computational Methods, 18, 03, 2021. Crossref

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