Definition and recognition of rib features in aircraft structural part

In this research, a new type of manufacturing feature that is commonly observed in aircraft structural parts, known as ribs, is defined and implemented using the object-oriented software engineering approach. The rib feature type is defined as a set of constrained and adjacent faces of a part which are associated with a set of specific rib machining operations. Computerized numerical control (CNC) operation experience and the machining knowledge are leveraged by analysing typical geometry interactions when generating machining tool paths where such knowledge and experience are abstracted as rules of process planning. Then those abstracted machining process rules are implemented in a feature recognition algorithm on top of an existing and holistic attribute adjacency graph solution to extract seed faces, identify individual local rib elements and further cluster these newly identified local rib elements into groups for the ease of machining operations. Out of the potentially different combinations of local rib elements, those optimised cluster groups are merged into the top-level rib features. The enhanced recognition algorithm is presented in details. A pilot system has already been developed and applied for machining many advanced aircraft structural parts in a large aircraft manufacturer. Observations and conclusions are presented at the end.

[1]  M. Hou,et al.  Automatic tool path generation of a feature-basedCAD/CAPP/CAM integrated system , 2006, Int. J. Comput. Integr. Manuf..

[2]  François Villeneuve,et al.  Computer Aided Process Planning, Strategy, and Models in the Aircraft Industry , 2006 .

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

[4]  Sri Hinduja,et al.  Extendible Classification of Design and Manufacturing Features , 2002 .

[5]  D. Dvorak,et al.  Tool path strategies for high speed milling aluminum workpieces with thin webs , 1998 .

[6]  Ahmed Azab,et al.  Sequential process planning : A hybrid optimal macro-level approach , 2007 .

[7]  J. Liu,et al.  Recognition of machining features and feature topologies from NC programs , 2000, Comput. Aided Des..

[8]  Sanjay B. Joshi,et al.  Recognizing multiple interpretations of interacting machining features , 1994, Comput. Aided Des..

[9]  Soh-Khim Ong,et al.  An approach to identify design and manufacturing features from a data exchanged part model , 2003, Comput. Aided Des..

[10]  Paul K. Wright,et al.  Volumetric feature recognition for machining components with freeform surfaces , 2004, Comput. Aided Des..

[11]  JungHyun Han On multiple interpretations , 1997, SMA '97.

[12]  Yingguang Li,et al.  A feature-based fixture design methodology for the manufacturing of aircraft structural parts , 2011 .

[13]  S Herranz,et al.  The milling of airframe components with low rigidity: A general approach to avoid static and dynamic problems , 2005 .

[14]  Xun Xu,et al.  Computer-aided process planning – A critical review of recent developments and future trends , 2011, Int. J. Comput. Integr. Manuf..

[15]  W. R. Winfough,et al.  Techniques for the Use of Long Slender End Mills in High-speed Milling , 1996 .

[16]  Jami J. Shah,et al.  Parametric and Feature-Based CAD/CAM: Concepts, Techniques, and Applications , 1995 .

[17]  Jami J. Shah,et al.  CAD-CAM integration using machining features , 2002, Int. J. Comput. Integr. Manuf..

[18]  Pralay Pal,et al.  A hybrid approach for identification of 3D features from CAD database for manufacturing support , 2002 .

[19]  S K Ong,et al.  Recognition of overlapping machining features based on hybrid artificial intelligent techniques , 2000 .

[20]  Arvind Kumar Verma,et al.  A review of machining feature recognition methodologies , 2010, Int. J. Comput. Integr. Manuf..

[21]  Yongsheng Ma,et al.  Associations in a Unified Feature Modeling Scheme , 2006, J. Comput. Inf. Sci. Eng..

[22]  Willem F. Bronsvoort,et al.  Freeform feature modelling: concepts and prospects , 2002, Comput. Ind..

[23]  Yusuf Altintas,et al.  Dynamic peripheral milling of flexible structures , 1992 .

[24]  Satyandra K. Gupta,et al.  Towards multiprocessor feature recognition , 1997, Comput. Aided Des..

[25]  Nabil Gindy,et al.  Mathematical representation of feature conversion for CAD/CAM system integration , 2004 .

[26]  Behrooz Arezoo,et al.  Boundary analysis and geometric completion for recognition of interacting machining features , 2006, Comput. Aided Des..

[27]  S. S. Pande,et al.  Automatic recognition of features from freeform surface CAD models , 2008, Comput. Aided Des..

[28]  Debasish Dutta,et al.  Feature Simplification Techniques for Freeform Surface Models , 2003, J. Comput. Inf. Sci. Eng..

[29]  Jami J. Shah,et al.  Recognition of Multi Axis Milling Features: Part I-Topological and Geometric Characteristics , 2004, J. Comput. Inf. Sci. Eng..

[30]  Satyandra K. Gupta,et al.  Manufacturing feature instances: which ones to recognize? , 1995, SMA '95.

[31]  C. R. Liu,et al.  Analysis on machined feature recognition techniques based on B-rep , 1996, Comput. Aided Des..

[32]  James Gao,et al.  Feature technology: an overview , 1993 .

[33]  Hossam Ismail,et al.  Optimisation approaches in feature recognition , 1999 .

[34]  Kwangsoo Kim,et al.  A feature-based approach to extracting machining features , 1998, Comput. Aided Des..

[35]  Douglas E. R. Clark,et al.  Delta-volume decomposition for multi-sided components , 1998, Comput. Aided Des..

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

[37]  John Cutler Understanding Aircraft Structures , 1981 .

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

[39]  Yong Se Kim,et al.  Recognition of form features using convex decomposition , 1992, Comput. Aided Des..

[40]  Y G Li,et al.  Feature recognition technology for aircraft structural parts based on a holistic attribute adjacency graph , 2010 .

[41]  Lihui Wang,et al.  Embedding machining features in function blocks for distributed process planning , 2006, Int. J. Comput. Integr. Manuf..

[42]  Xu Liu,et al.  A dynamic feature information model for integrated manufacturing planning and optimization , 2012 .

[43]  Jami J. Shah,et al.  Recognition of Multi-Axis Milling Features: Part II - Algorithms & Implementation , 2005, J. Comput. Inf. Sci. Eng..

[44]  Napsiah Ismail,et al.  Recognition of cylindrical and conical features using edge boundary classification , 2005 .

[45]  David C. Anderson,et al.  Fast feature extraction for machining applications , 1994, Comput. Aided Des..