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Journal of Flow Visualization and Image Processing

Publicou 4 edições por ano

ISSN Imprimir: 1065-3090

ISSN On-line: 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 STREAMLINE TRACKING METHOD FOR THREE-DIMENSIONAL CFD VELOCITY FIELDS BASED ON THE LAW OF MASS CONSERVATION

Volume 13, Edição 4, 2006, pp. 359-376
DOI: 10.1615/JFlowVisImageProc.v13.i4.40
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RESUMO

This paper proposes an adaptive streamline tracking method for three-dimensional CFD velocity fields. We assume that the multiplication of an unknown scalar function and the linear interpolation of a CFD velocity field satisfy the law of mass conservation and then derive the expressions of the scalar function. The adaptive streamline tracking method subdivides a hexahedron of hexahedral meshes into smaller hexahedra when there are points in the hexahedron at which the scalar function equals to infinity and then seeks more data of the CFD velocity fields at the vertices of the smaller hexahedra if the values of the CFD velocity field are unknown. The subdivision can be an infinity process. We introduce a threshold number to measure how many times we will subdivide the hexahedra in the initial mesh. The accuracy of computation depends on the initial mesh and the threshold number. Exact tangent curves for linear vector fields are used to draw streamline segments in tetrahedra that are obtained from subdividing hexahedra. Examples in the last section show that the adaptive streamline tracking method can be used to draw more accurate streamlines if we choose a larger threshold number.

CITADO POR
  1. 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

  2. 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

  3. 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

  4. 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

  5. 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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