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基于型面特征的热冲压模具冷却水道自动生成方法OA

Surface feature-driven automatic cooling channel generation method for hot stamping dies

中文摘要英文摘要

针对热冲压模具冷却水道设计过程中存在的依赖人工经验、效率低、难以兼顾随形性与加工可行性的问题,提出了一种基于型面特征的冷却水道自动生成方法.该方法以模具型面有限元网格为基础,按照水道主方向依次构建等距截面,并在截面上提取特征点,生成水道中心线.为满足水道段数约束并降低中心线结构复杂度,提出了一种基于递进拟合与夹角筛选的中心线结构简化算法,实现了中心线结构的自动简化与优化调整.通过典型热冲压模具实例验证,所生成冷却水道路径在水道间距、型面距离和随形性方面均表现良好,水道间距合格率稳定在较高水平,路径结构简洁、连续,段数合理,符合实际加工要求.研究结果表明,该方法可在较少人工干预的情况下,有效提高冷却水道设计效率.

To address the problems of excessive reliance on manual experience,low efficiency,and difficulty in balancing surface conformity and manufacturability in the design of cooling channels for hot stamping dies,an automatic cooling channel generation method based on surface features is proposed.The method utilizes the finite element mesh of the die surface as the geometric foundation,constructs equally spaced cross-sections along the channel main direction,and extracts feature points from these cross-sections to generate the channel centerline.To meet the constraint on segment number and reduce the complexity of the centerline,a simplification algorithm based on progressive fitting and angle threshold filtering is proposed to automatically optimize and adjust the structure of the centerline.Case studies on typical hot stamping dies demonstrate that the generated cooling channel paths exhibit good performance in terms of channel spacing,surface conformity,and distribution along the forming surface.The channel spacing qualification rate remains at a high level,and the generated paths are simple,continuous,and have a reasonable number of segments,meeting practical machining requirements.The results indicate that the proposed method can effectively improve the efficiency of cooling channel design with minimal manual intervention.

刘迪辉;许逸驰;焦长建;叶建彬;钱斌;徐龙

湖南大学 机械与运载工程学院,湖南 长沙 410082湖南大学 机械与运载工程学院,湖南 长沙 410082湖南大学 机械与运载工程学院,湖南 长沙 410082湖南大学 机械与运载工程学院,湖南 长沙 410082青岛应运汽车零部件有限公司,山东 青岛 266200青岛应运汽车零部件有限公司,山东 青岛 266200

矿业与冶金

热冲压模具冷却系统自动设计

hot stampingdiescooling systemscomputer aided design

《湖南大学学报(自然科学版)》 2026 (8)

29-36,8

湖南省自然科学基金资助项目(201631390158),Natural Science Foundation of Hunan Province(201631390158)

10.16339/j.cnki.hdxbzkb.2026185

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