Feature Recognition for Virtual Environments

Abstract:

This paper demonstrates methods to recognize 3D designed features for virtual environments and apply them to Virtual assembly. STEP is a standard of Product data Exchange for interfacing different design systems, but it cannot be used as input for virtual environments. In order to use feature data in virtual assembly environments, main data source from a STEP file should be recognized and features should be re-built. First, Attributed Adjacency Graph (AAG) is used to analyze and express the boundary representation; second, a feature-tree of a part is constructed; third, using the AAG and feature-tree as inputs, we analyze and extract of features with a feature recognition algorithm; finally, various levels of detail of object geometric shapes is built and expressed in XML for virtual assembly applications.

• Periodical: Applied Mechanics and Materials (Volume 610)
• Pages: 642-646
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.610.642
• Online since: August 2014
• Authors: Mong Heng Ear, Cheng Cheng*, Salem Mostafa Hamdy, Alhazmi Marwah
• Keywords: Feature Based Design, Human-Computer Interaction (HCI), Step, Virtual Environment

References

[1] Weber C. What is a feature and what is its use? Results of FEMEX working group. Proc Int Symp Automotive Technol Automation (ISATA) 1996; 1: 287-96.

[2] Mark R. Henderson, Gopal Srinath, Roger Stage, Kim Walker, William Regli . Boundary Representation-based Feature Identification.

[3] T. Dereli, H. Filiz. A note on the use of STEP for interfacing design to process planning. Computer-Aided Design 2002; 34: 1075-1085.

DOI: 10.1016/s0010-4485(01)00187-7

[4] Junhwan Kim, Michael J. Pratt, Raj G. Iyer, Ram D. Sriram. Standardized data exchange of CAD models with design intent [J]. Computer-Aided Design, 2008, (40): 760-777.

DOI: 10.1016/j.cad.2007.06.014

[5] Bojan Babic, Nenad Nesic, Zoran Miljkovic. Survey paper: A review of automated feature recognition with rule-based pattern recognition [J]. Elsevier Science Publishers B. V., 2008, 321-337.

DOI: 10.1016/j.compind.2007.09.001

[6] Sashikumar Venkataraman, Milind Sohoni, Vinay Kukarni. A Graph-based Framework for Feature Recognition [J]. ACM Press, 2001, 194~205.

[7] S. Joshi, T.C. Chang. Graph-based heuristics for recognition of machined features from a 3D solid mode [J]. Computer-Aided Design, 1988, 20(2): 58-66.

DOI: 10.1016/0010-4485(88)90050-4

[8] Chuagn, S.H. (1991) Feature Recognition from Solid models Using Conceptual Shape Graphs. Ph.D., Arizona State University.

[9] Cheng Cheng, Wang Hong An, Dai Guo Zhong. Construction of Feature Matching Perception in Virtual Assembly. June, (2002).

[10] Cheng Cheng, Jiang Ru, Dong Xue Mei. Human knowledge acquisition from 3D interaction in virtual environments. Sci China inf Sci, 2012, 55: 1528-1540, doi: 10. 1007/s11432-011-4436-z.

DOI: 10.1007/s11432-011-4436-z