A Novel Approach for Quad‐Dominant Mesh Generation Using Conformal Mapping Compressed Gradient Field

ABSTRACT The regular topological structure endows quadrilateral meshes with advantages such as high computational accuracy, reduced element requirements, and enhanced computational efficiency, granting them irreplaceable application value in high‐end engineering simulation domains. However, significant bottlenecks persist in the fully automatic generation technology of quadrilateral meshes for complex geometric models. Existing methods often encounter key issues such as high mesh distortion rates and insufficient algorithm stability when handling high‐curvature boundaries and multiscale feature regions, limiting their widespread application in engineering simulations. This article proposes a quad‐dominant mesh generation method based on gradient fields. Firstly, the three‐dimensional triangular mesh is transformed into a two‐dimensional parametric domain through conformal mapping. Subsequently, based on the compression ratio measured from three‐dimensional to two‐dimensional, the direction and size of the advancing front are calculated to draw contour lines in the parametric domain. A threshold is set to automatically generate high‐quality grids. Based on the extracted contour lines, high‐quality quadrilateral grids are generated pairwise along the gradient field directions. For regions that do not meet the threshold requirements, triangular mesh filling is employed to generate a two‐dimensional quad‐dominant grid. Due to the bijective nature of the mapping, the quad‐dominant surface mesh is obtained through the inverse transformation from the 2D parametric domain back to the 3D space.

Authors

Institutions

Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2026-03-17
DOI
https://doi.org/10.1002/nme.70303
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Approach for Quad‐Dominant Mesh Generation Using Conformal Mapping Compressed Gradient Field

Yufei Pang, Ruihui Mu, Jingying Qiu, Yongping Xiong et al.
International Journal for Numerical Methods in Engineering
Computational Geometry and Mesh Generation
article

A Novel Approach for Quad‐Dominant Mesh Generation Using Conformal Mapping Compressed Gradient Field

Yufei Pang, Ruihui Mu, Jingying Qiu, Yongping Xiong, Yang Liu, Long Qi, Fang Han
article en

Abstract

ABSTRACT The regular topological structure endows quadrilateral meshes with advantages such as high computational accuracy, reduced element requirements, and enhanced computational efficiency, granting them irreplaceable application value in high‐end engineering simulation domains. However, significant bottlenecks persist in the fully automatic generation technology of quadrilateral meshes for complex geometric models. Existing methods often encounter key issues such as high mesh distortion rates and insufficient algorithm stability when handling high‐curvature boundaries and multiscale feature regions, limiting their widespread application in engineering simulations. This article proposes a quad‐dominant mesh generation method based on gradient fields. Firstly, the three‐dimensional triangular mesh is transformed into a two‐dimensional parametric domain through conformal mapping. Subsequently, based on the compression ratio measured from three‐dimensional to two‐dimensional, the direction and size of the advancing front are calculated to draw contour lines in the parametric domain. A threshold is set to automatically generate high‐quality grids. Based on the extracted contour lines, high‐quality quadrilateral grids are generated pairwise along the gradient field directions. For regions that do not meet the threshold requirements, triangular mesh filling is employed to generate a two‐dimensional quad‐dominant grid. Due to the bijective nature of the mapping, the quad‐dominant surface mesh is obtained through the inverse transformation from the 2D parametric domain back to the 3D space.

International Journal for Numerical Methods in EngineeringVol. 127(6)
China Aerodynamics Research and Development Center (CN), Hangzhou Dianzi University (CN)
Openalex Percentile: Top 19%
Computational Geometry and Mesh Generation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.