AI助力工程仿真中几何处理与网格生成，降低人工成本。
A Survey of AI Methods for Geometry Preparation and Mesh Generation in Engineering Simulation
- 按流程步骤梳理AI在几何处理与网格生成中的应用
- 实现网格质量预测、特征简化与自动化建模
- 适合仿真工程师与网格工作者快速了解AI进展
人工智能正逐步减少从CAD到网格生成流程中的手动工作量。本文面向缺乏AI背景的网格与几何从业者，按工作流程步骤整理近期研究进展。涵盖零件分类与分割、网格质量预测、特征简化等任务。综述了AI在非结构化网格、二维与三维块结构网格及体参数化中的应用，包括从隐式或采样几何重建。还讨论了基于强化学习与大语言模型的并行网格生成与脚本自动化。整体上，AI补充而非替代现有几何与网格算法。最后总结实践经验与数据、基准、可信集成等开放挑战。
原文摘要 · Abstract (English)
Artificial intelligence is beginning to reduce the manual effort in the CAD-to-mesh pipeline. Written for meshing and geometry practitioners with limited AI background, this survey organizes recent work by workflow step. We cover part classification and segmentation, mesh quality prediction, and defeaturing. We review AI guidance for unstructured meshing, block-structured meshing in 2D and 3D, and volumetric parameterization, including reconstruction from implicit or sampled geometry. We also discuss parallel mesh generation and scripting automation via reinforcement learning and large language models. Across these topics, AI complements established geometry and meshing algorithms rather than replacing them. We conclude with practical lessons and open challenges in data, benchmarks, and trustworthy integration.
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