首页> 外文期刊>Rapid prototyping journal >Circular hole recognition for STL-based toolpath generation
【24h】

Circular hole recognition for STL-based toolpath generation

机译:圆孔识别,用于基于STL的刀具路径生成

获取原文
获取原文并翻译 | 示例
           

摘要

Purpose - This paper presents a unique method to recognize circular holes from 3D models in the STL format. The topological information generated by this method enables identification of holes and tool path generation for holes which should be drilled rather than milled. Design/methodology/approach - A method based on a set of developed algorithms is used to identify closed loops from a STL model, identify which closed loops correspond to cylindrical holes, find hole orientations, locations and diameters, and calculate the depth for the recognized holes. The developed procedure and algorithms have been implemented in Visual C++ to illustrate the efficacy of the method. Findings - The implementation results showed that the developed algorithms can successfully recognize circular holes of differing sizes on both simple and complex surfaces, and in any orientation. Tool paths can thus be generated from STL models to more efficiently and accurately machine circular holes. Research limitations/implications - The developed method requires that at least one simple closed loop exist for each potential hole. Originality/value - A new and unique hole recognition method for use with STL models was developed. This method is useful for accurately and efficiently machining parts with circular holes from STL models as well as finish machining near-net shape parts with circular holes created using rapid prototyping.
机译:目的-本文提出了一种独特的方法,可以从STL格式的3D模型中识别圆形孔。通过这种方法生成的拓扑信息可以识别孔,并生成应钻孔而不是铣削的孔的刀具路径。设计/方法/方法-基于一组已开发算法的方法用于从STL模型中识别闭环,识别与圆柱孔相对应的闭环,找到孔的方向,位置和直径,并为识别出的深度计算深度孔。已开发的过程和算法已在Visual C ++中实现,以说明该方法的有效性。研究结果-实施结果表明,所开发的算法可以成功识别简单和复杂表面以及任何方向上大小不同的圆形孔。因此,可以从STL模型生成刀具路径,以更有效,更准确地加工圆形孔。研究局限/意义-所开发的方法要求每个潜在的孔至少存在一个简单的闭环。原创性/价值-开发了一种用于STL模型的新颖独特的孔识别方法。此方法可用于从STL模型中准确有效地加工带有圆孔的零件,以及通过快速原型制作的带有圆孔的近净形状零件的精加工。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号