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<p>Mesh generation is a critical preprocessing step in Computational Fluid Dynamics (CFD) workflows, directly affecting simulation accuracy and efficiency. Surface mesh generation forms the foundation for constructing volume meshes and is therefore essential for achieving full-process CFD automation. However, both conventional grid-based methods and Cartesian grid front projection methods face certain limitations in their strategies for preserving sharp geometric features. This study proposes a novel curvature-adaptive, quadrilateral-dominant method for STereoLithography (STL) models to address this. Leveraging a space-to-surface projection mechanism, it exhibits strong tolerance to “dirty geometry” like holes and overlapping elements in large continuous regions. For sharp feature preservation, it employs a strategy of removing non-body-fitting or stacked elements followed by hole repair to reconstruct hybrid quadrilateral/triangular meshes, effectively maintaining global geometric accuracy. An automated secondary hole repair strategy is further introduced for configurations with narrow surface areas to ensure mesh continuity and structural integrity. Critically, the method operates without relying on complex vertex shifting templates or the need to establish intricate correspondence mappings between the background grid boundary and surface features. A local vertex smoothing strategy further enhances quality. Evaluations show the method generates high-quality meshes on complex geometries with consistent edge lengths and small angular deviation. When compared to a commercial software method, the proposed method achieves comparable mesh quality overall, while offering superior feature preservation accuracy. Furthermore, the resulting quadrilateral-dominant meshes significantly reduce both volume mesh size and CFD computation time over conventional triangular meshes at equivalent resolution, underscoring their superior engineering applicability.</p>

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A feature-preserving quadrilateral-dominant surface mesh generation method with curvature adaptation via Cartesian grid front projection

  • 期刊论文

  • 发表日期：

    2026年1月14日

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  • Xin Ouyang,
  • Lifeng Tian,
  • Wuye Dai,
  • Xincheng Sun,
  • Jiasen Wang,
  • Chunguang Xu

摘要

Mesh generation is a critical preprocessing step in Computational Fluid Dynamics (CFD) workflows, directly affecting simulation accuracy and efficiency. Surface mesh generation forms the foundation for constructing volume meshes and is therefore essential for achieving full-process CFD automation. However, both conventional grid-based methods and Cartesian grid front projection methods face certain limitations in their strategies for preserving sharp geometric features. This study proposes a novel curvature-adaptive, quadrilateral-dominant method for STereoLithography (STL) models to address this. Leveraging a space-to-surface projection mechanism, it exhibits strong tolerance to “dirty geometry” like holes and overlapping elements in large continuous regions. For sharp feature preservation, it employs a strategy of removing non-body-fitting or stacked elements followed by hole repair to reconstruct hybrid quadrilateral/triangular meshes, effectively maintaining global geometric accuracy. An automated secondary hole repair strategy is further introduced for configurations with narrow surface areas to ensure mesh continuity and structural integrity. Critically, the method operates without relying on complex vertex shifting templates or the need to establish intricate correspondence mappings between the background grid boundary and surface features. A local vertex smoothing strategy further enhances quality. Evaluations show the method generates high-quality meshes on complex geometries with consistent edge lengths and small angular deviation. When compared to a commercial software method, the proposed method achieves comparable mesh quality overall, while offering superior feature preservation accuracy. Furthermore, the resulting quadrilateral-dominant meshes significantly reduce both volume mesh size and CFD computation time over conventional triangular meshes at equivalent resolution, underscoring their superior engineering applicability.