A hybrid surfacing methodology for reverse engineering

The aim of this paper is to propose a new hybrid surfacing methodology which could result in a faster high-quality surface reconstruction. After reviewing the state-of-the-art reverse modelling techniques, the two methodologies of classic surfacing based on typical procedure of point-curve-surface and rapid surfacing based on polygonised mesh grids are presented. The fundamentals involved in these two methodologies are analysed. Then a new hybrid surfacing methodology based on feature template is proposed. As for hybrid surfacing, rapid surfacing is used firstly to polygonise the point cloud to extract the feature template with quadrilateral parameterisation type, then the feature template is given further treatment in the classic surfacing system to construct the surface model. It can not only efficiently overcome the drawback of curvature continuity in rapid surfacing, but also reduce the difficulty of data segmentation in classic surfacing, making faster high-quality surface approximation possible.

[1]  J. Snapper Scratching the Surface , 2004 .

[2]  Tamás Várady,et al.  Reverse Engineering , 2002, Handbook of Computer Aided Geometric Design.

[3]  Tamás Várady,et al.  New Trends in Digital Shape Reconstruction , 2005, IMA Conference on the Mathematics of Surfaces.

[4]  Kathryn A. Ingle,et al.  Reverse Engineering , 1996, Springer US.

[5]  H. Edelsbrunner Surface Reconstruction by Wrapping Finite Sets in Space , 2003 .

[6]  G. Frank Scratching the surface. , 1987, Nursing times.

[7]  Lei Chen,et al.  Reverse innovative design - an integrated product design methodology , 2008, Comput. Aided Des..

[8]  Ralph R. Martin,et al.  Reverse engineering of geometric models - an introduction , 1997, Comput. Aided Des..

[9]  Christophe Tournier,et al.  Direct duplication of physical models in discrete 5-axis machining , 2008 .

[10]  Tamás Várady,et al.  Segmentation methods for smooth point regions of conventional engineering objects , 2004, Comput. Aided Des..

[11]  Ralph R. Martin,et al.  Mathematics of Surfaces XI , 2008 .

[12]  Anath Fischer,et al.  Emerging non-contact 3D measurement technologies for shape retrieval and processing , 2008 .

[13]  Weidong Zhu,et al.  Feature-based reverse modeling strategies , 2006, Comput. Aided Des..

[14]  Paulo Jorge Da Silva bartolo,et al.  Automatic 3D shape recovery for rapid prototyping , 2008 .

[15]  Tamás Várady,et al.  Automatic Extraction of Surface Structures in Digital Shape Reconstruction , 2006, GMP.

[16]  Linda M. Wills,et al.  Reverse Engineering , 1996, Springer US.

[17]  Guillaume Ducellier,et al.  From a 3D point cloud to an engineering CAD model: a knowledge-product-based approach for reverse engineering , 2008 .

[18]  M. Sarfraz,et al.  Computer-aided reverse engineering using simulated evolution on NURBS , 2006 .

[19]  Duc Truong Pham,et al.  Reverse engineering: An industrial perspective , 2008 .

[20]  Soonhung Han,et al.  A template-based reconstruction of plane-symmetric 3D models from freehand sketches , 2008, Comput. Aided Des..