Feature recognition technology for aircraft structural parts based on a holistic attribute adjacency graph

Abstract A feature-recognition method based on an holistic attribute adjacency graph is put forward to solve the problems that complex features of aircraft structural parts find difficult to recognize by traditional feature-recognition methods. Extending the attribute's information and adding node types based on a traditional attribute adjacency graph, the method not only represents freeform surfaces and edge features, but also describes geometric information of topology elements precisely and completely. Combining feature recognition based on a graph with that based on hint, the method can deal with feature recognition of freeform surfaces, edge features, intersecting features, and convex features by a uniform algorithm, which virtually performs hint search, hint extension, and feature combination with hints of seed faces. According to the research, an original system has been used in a numerically controlled machining process of integer frame parts in certain large aviation enterprises.

[1]  Chun-Fong You,et al.  Machining feature recognition and tool-path generation for 3-axis CNC milling , 2006, Comput. Aided Des..

[2]  Mark Henderson,et al.  Computer recognition and extraction of form features: A CAD/CAM link , 1984 .

[3]  Jie Wang,et al.  A surface based approach to recognition of geometric features for quality freeform surface machining , 2004, Comput. Aided Des..

[4]  Lihui Wang,et al.  Sequencing of interacting prismatic machining features for process planning , 2007, Comput. Ind..

[5]  Hiroshi Sakurai,et al.  Recognition of maximal features by volume decomposition , 2002, Comput. Aided Des..

[6]  Theodore Lim,et al.  Edge-based identification of DP-features on free-form solids , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Wen He Liao,et al.  Research on Feature-Based Rapid Programming for Aircraft NC Parts , 2007 .

[8]  Jami J. Shah,et al.  A Discourse on Geometric Feature Recognition From CAD Models , 2001, J. Comput. Inf. Sci. Eng..

[9]  Zoran Miljkovic,et al.  A review of automated feature recognition with rule-based pattern recognition , 2008, Comput. Ind..

[10]  Jami J. Shah,et al.  Automatic recognition of interacting machining features based on minimal condition subgraph , 1998, Comput. Aided Des..

[11]  Ali K. Kamrani,et al.  A new methodology for extracting manufacturing features from CAD system , 2006, Comput. Ind. Eng..

[12]  JungHyun Han,et al.  Hint-based reasoning for feature recognition: status report , 1998, Comput. Aided Des..

[13]  Yong Se Kim,et al.  Form feature recognition using convex decomposition: results presented at the 1997 ASME CIE Feature Panel Session , 1998, Comput. Aided Des..

[14]  T. C. Chang,et al.  Graph-based heuristics for recognition of machined features from a 3D solid model , 1988 .

[15]  Makoto Ogawa,et al.  Manufacturing Feature Recognition Method for the Generation of Multiple Process Plans , 2005 .

[16]  Pralay Pal,et al.  Feature extraction from large CAD databases using genetic algorithm , 2005, Comput. Aided Des..