Cavity Vertex Regeneration through Optimal Energy Model for Restoration of Worn Parts

Restroration of worn parts is a key technique in remanufacturing engineering. It is also a popular research topic in the domain of sustainable manufacturing. To tackle the difficult problem of obtaining a reference model for repair of worn parts, this paper proposed a novel approach to regenerate the vertices over the worn cavity. After a brief description of the repair process, this paper focuses on the optimal energy model establishment. Based on the energy model the vertices of the worn cavity can be regenerated. Error calculation of the vertices recreated to the original model is proposed to search the shortest distance. These algorithms proposed were implemented in the repair system through Visual C++6.0. Several examples of worn parts are presented to illustrate the feasibility of the method. The testing result shows that the vertex regenerated through the optimal energy model can satisfy the requirement of accurate geometry regeneration for repair of worn parts. Finally, conclusions are drawn and further research work is discussed. DOI:  http://dx.doi.org/10.11591/telkomnika.v11i5.2479

[1]  Jörg Stiller.  Point-normal interpolation schemes reproducing spheres, cylinders and cones , 2007, Comput. Aided Geom. Des..

[2]  Peter Liepa,et al.  Filling Holes in Meshes , 2003, Symposium on Geometry Processing.

[3]  Cai Yong.  Surface Reconstruction from Points Based on Support Vector Machine , 2007 .

[4]  K Sivayoganathan,et al.  Accuracy analysis of 3D data collection and free-form modelling methods , 2003 .

[5]  Shujun Zhang,et al.  Rapid prototyping models and their quality evaluation using reverse engineering , 2003 .

[6]  Eyup Bagci.  Corrigendum to "Reverse engineering applications for recovery of broken or worn parts and re-manufacturing: Three case studies"[Advances in Software Engineering 40/6 (2009) 407-418] , 2011, Adv. Eng. Softw..

[7]  Xindu Chen,et al.  An automated GD&T inspection system based on non-contact 3D digitization , 2006 .

[8]  Manuel Menezes de Oliveira Neto,et al.  Filling holes on locally smooth surfaces reconstructed from point clouds , 2007, Image Vis. Comput..

[9]  Charles K. Chui,et al.  Filling polygonal holes using C1 cubic triangular spline patches , 2000, Comput. Aided Geom. Des..

[10]  Paul Walton.  Adaptive machining shows its mettle in manufacture and repair , 2002 .

[11]  Zhang Kai.  A Delaunay-based Surface Reconstruction Algorithm for Unorganized Sampling Points , 2007 .

[12]  Robert M. O'Bara,et al.  Geometrically deformed models: a method for extracting closed geometric models form volume data , 1991, SIGGRAPH.

[13]  Xue Yan,et al.  Neural network approach to the reconstruction of freeform surfaces for reverse engineering , 1995, Comput. Aided Des..

[14]  Liang-Chia Chen,et al.  Reverse engineering in the design of turbine blades – a case study in applying the MAMDP , 2000 .

[15]  Zhou Ru-rong.  B-spline Surface Reconstruction from Scattered Data Points Based on SOM Neural Network , 2007 .

[16]  Yan Li,et al.  Surface reconstruction from cloud points based on Support Vector Machine , 2008, 2008 IEEE International Conference on Automation and Logistics.

[17]  Saeid Motavalli.  Review of reverse engineering approaches , 1998 .

[18]  Nabil Gindy,et al.  A study of turbomachinery components machining and repairing methodologies , 2005 .

[19]  Yongtae Jun,et al.  A piecewise hole filling algorithm in reverse engineering , 2005, Comput. Aided Des..

[20]  Wojciech Święszkowski,et al.  Reverse engineering of free-form surfaces , 1998 .

[21]  Xin Chen,et al.  An integrated adaptive repair solution for complex aerospace components through geometry reconstruction , 2008 .

[22]  Jian Gao,et al.  Adaptive restoration of complex geometry parts through reverse engineering application , 2006, Adv. Eng. Softw..

[23]  Jörg Peters,et al.  Local smooth surface interpolation: a classification , 1990, Comput. Aided Geom. Des..

[24]  Marc Levoy,et al.  A volumetric method for building complex models from range images , 1996, SIGGRAPH.