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  • 标题:Automatic Extraction of Three Dimensional Prismatic Machining Features from CAD Model
  • 本地全文:下载
  • 作者:B.V. Sudheer Kumar ; C.S.P. Rao
  • 期刊名称:International Journal of Computer Science and Communication Networks
  • 电子版ISSN:2249-5789
  • 出版年度:2011
  • 卷号:1
  • 期号:3
  • 页码:285-296
  • 出版社:Technopark Publications
  • 摘要:Machining features recognition provides the necessary platform for the computer aided process planning (CAPP) and plays a key role in the integration of computer aided design (CAD) and computer aided manufacturing (CAM). This paper presents a new methodology for extracting features from the geometrical data of the CAD Model present in the form of Virtual Reality Modeling Language (VRML) files. First, the point cloud is separated into the available number of horizontal cross sections. Each cross section consists of a 2D point cloud. Then, a collection of points represented by a set of feature points is derived for each slice, describing the cross section accurately, and providing the basis for a feature-extraction. These extracted manufacturing features, gives the necessary information regarding the manufacturing activities to manufacture the part. Software in Microsoft Visual C++ environment is developed to recognize the features, where geometric information of the part is extracted from the CAD model. By using this data, an output file i.e., text file is generated, which gives all the machinable features present in the part. This process has been tested on various parts and successfully extracted all the features
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