An automatic 3D CAD model errors detection method of aircraft structural part for NC machining
Author(s) -
Bo Huang,
Changhong Xu,
Rui Huang,
Shusheng Zhang
Publication year - 2015
Publication title -
journal of computational design and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.764
H-Index - 24
eISSN - 2288-5048
pISSN - 2288-4300
DOI - 10.1016/j.jcde.2015.06.008
Subject(s) - cad , machining , heuristics , engineering drawing , computer science , graph , heuristic , computer aided design , feature (linguistics) , engineering , artificial intelligence , mechanical engineering , theoretical computer science , operating system , linguistics , philosophy
Feature-based NC machining, which requires high quality of 3D CAD model, is widely used in machining aircraft structural part. However, there has been little research on how to automatically detect the CAD model errors. As a result, the user has to manually check the errors with great effort before NC programming. This paper proposes an automatic CAD model errors detection approach for aircraft structural part. First, the base faces are identified based on the reference directions corresponding to machining coordinate systems. Then, the CAD models are partitioned into multiple local regions based on the base faces. Finally, the CAD model error types are evaluated based on the heuristic rules. A prototype system based on CATIA has been developed to verify the effectiveness of the proposed approach
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