The generation of helical groove CAD models is a key step in tool grinding simulation, and its efficiency and accuracy are often limited by the complex geometry of grinding wheels and the limitations of existing boundary extraction methods. To address this challenge, this paper proposes an efficient helical groove modeling framework based on a constraint-enhanced radial boundary extraction method. This framework enables rapid construction of helical groove models when the grinding wheel geometry and grinding trajectory are known in advance. First, based on the geometric characteristics of the helical groove cross-section, the constraint-enhanced radial boundary extraction method (CERBE) is proposed to extract structured ring-wise boundary primitives from unordered projected point clouds. Second, a curvature-weighted arc-length sampling strategy is adopted to discretize and optimize the grinding-wheel generatrix, thereby improving the overall structural quality of the grinding point cloud. Finally, the extracted boundary primitives are ordered and converted into CAD sections, and solid modeling is performed using the OpenCascade geometry kernel to generate kernel-valid helical groove CAD models. Additional validation, including parameter sensitivity, sparse and degraded point-cloud tests, and comparisons with convex-hull-based extraction, an annulus-based baseline, and Alpha Shapes, evaluates the stability limits of the proposed method under the tested conditions. The reported 37% runtime reduction refers to the CERBE primitive-extraction core for a 150,000-point dataset, while the complete CAD-oriented pipeline additionally includes preprocessing, contour ordering, topology repair, and solid construction. VERICUT-based validation shows that the generated models are CAD/CAM-executable, with small absolute deviations in key sectional parameters and limited multi-section contour deviations under the tested simulated grinding conditions.
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