Boss recognition algorithm for application to finite element analysis

ABSTRACTIn finite element analysis (FEA), computer-aided design (CAD) models must be converted into solid meshes so that the solver can perform the desired analysis and simulation. Hexahedral and prism meshes are better than tetrahedral meshes, but are inherently more complex and difficult to generate. The purpose of this study was to propose an approach based on feature recognition for generating better quality solid meshes for FEA applications. Particularly, this study focused on the development of a boss recognition algorithm, the output of boss data for meshing, and the development of a process for automatic boss meshing. The proposed boss recognition method contains three parts: the preliminary functions, the data base, and the boss recognition. The first two parts provide a framework that can be used for other types of feature recognition. The core of the boss recognition is the tube recognition, which involves five main steps of validation. The output data of a boss includes the rib, tube, and hole...

[1]  Cong-xin Li,et al.  Automatic recognition of intersecting features of freeform sheet metal parts , 2009 .

[2]  Lu Sun,et al.  Automatic small depression feature recognition from solid B-rep models for meshing , 2011, 2011 International Conference on Electrical and Control Engineering.

[3]  AndersonDavid,et al.  A discourse on geometric feature recognition from CAD models , 2001 .

[4]  Jin Liu,et al.  Detail feature recognition and decomposition in solid model , 2002, Comput. Aided Des..

[5]  Yongtae Jun,et al.  Geometric Feature Recognition for Reverse Engineering using Neural Networks , 2001 .

[6]  Yuki Shimizu,et al.  Technique for checking design rules for three-dimensional CAD data , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[7]  Nor Hadiani Ismail,et al.  Recognition of cylindrical-based features using edge boundary technique for integrated manufacturing , 2004 .

[8]  Xu Liu,et al.  Definition and recognition of rib features in aircraft structural part , 2014, Int. J. Comput. Integr. Manuf..

[9]  Leila De Floriani,et al.  Geometric modeling of solid objects by using a face adjacency graph representation , 1985, SIGGRAPH.

[10]  Jean-Christophe Cuillière,et al.  Automatic and a priori refinement of three-dimensional meshes based on feature recognition techniques , 1999 .

[11]  Jiing-Yih Lai,et al.  On the Development of Blend Faces and Holes Recognition Algorithm for CAE Applications , 2015 .

[12]  Rangasami L. Kashyap,et al.  Geometric Reasoning for Recognition of Three-Dimensional Object Features , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Timothy J. Tautges,et al.  Feature based hex meshing methodology: feature recognition and volume decomposition , 2001, Comput. Aided Des..

[14]  Jami J. Shah,et al.  A Discourse on Geometric Feature Recognition From CAD Models , 2001, J. Comput. Inf. Sci. Eng..

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

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

[17]  Masine Md. Tap,et al.  Attribute based feature recognition for machining features , 2007 .

[18]  Steven E. Benzley,et al.  A Comparison of All Hexagonal and All Tetrahedral Finite Element Meshes for Elastic and Elasto-plastic Analysis , 2011 .

[19]  Li Ying-guang,et al.  A feature recognization technology of complex structural parts based on re-extended attributed adjacency graph , 2009 .

[20]  Jiing-Yih Lai,et al.  Recognition of depression and protrusion features on B-rep models based on virtual loops , 2015 .

[21]  Shuming Gao,et al.  An Efficient Algorithm for Recognizing and Suppressing Blend Features , 2004 .

[22]  Flavien Boussuge,et al.  Extraction of generative processes from B-Rep shapes and application to idealization transformations , 2014, Comput. Aided Des..

[23]  Theodore Lim,et al.  Edge-based identification of DP-features on free-form solids , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Gershon Elber,et al.  Blend recognition algorithm and applications , 2001, SMA '01.

[25]  T. C. Chang,et al.  Graph-based heuristics for recognition of machined features from a 3D solid model , 1988 .