Abstract
Feature recognition is important for describing shapes in many applications taking advantage of solid modeling. Graph-based feature recognition methods search from solid models the unique patterns of features that are represented as a graph. A typical example of such patterns is a loop of concave edges. When the loop is an inner loop on a single face, it is a strong hint of the existence of protrusion feature and recognition of protrusion faces is straightforward. However, when a protrusion feature lies on multiple faces, it is bounded by a loop of concave edges that are not on a single face. Consequently, the rule of inner loop is no more available and recognition of protrusion faces becomes unclear. To address this problem, a new quantitative measure, orthogonal bounding factor (OBF), is introduced. OBF is defined as the sum of cross products of two consecutive vectors normal to a set of faces, and it physically represents the possibility of being a protrusion in a solid model. The formal definition of orthogonal bounding factor is established and a method to recognize protrusion features using OBF is presented. Examples are also shown to demonstrate the effectiveness of the method for feature recognition.
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Recommended by Associate Editor Ki-Hoon Shin
Yoonhwan Woo is currently an associate professor of Mechanical Systems Engineering in Hansung University in Korea. His Ph.D. in Mechanical Engineering is from Colorado State University, the M.S. degree in Mechanical and Aerospace engineering from Illinois Institute of Technology, and the B.S. degree in Precision Mechanical Engineering from Hanyang University in Korea. His research interests include solid modeling, CAD model idealization for analysis, and computer aided process planning.
Sang-Hyun Kim obtained his B.S. (1993) and M.S. degrees (1995) in Aerospace Engineering from Pusan Nation University and Ph.D. (2005) in Aerospace Engineering from Texas A&M University. He is currently a faculty member in Mechanical Systems Engineering at Hansung University. His research interest lies in design, fabrication and test of MEMS/NEMS, especially encapsulation of liquid in porous nanofibers. He is also interested in the development of design platform of multi-physics and multiscale phenomena.
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Woo, Y., Kim, SH. Protrusion recognition from solid model using orthogonal bounding factor. J Mech Sci Technol 28, 1759–1764 (2014). https://doi.org/10.1007/s12206-014-0322-0
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DOI: https://doi.org/10.1007/s12206-014-0322-0