DocumentCode
2275404
Title
An adaptive finite element mesh generation algorithm for microstructure of composite materials
Author
Chang-bing, Ma ; Hong-fu, Qiang
Author_Institution
Xi´´an Res. Inst. of Hi-tech, Xi´´an, China
Volume
2
fYear
2011
fDate
10-12 June 2011
Firstpage
11
Lastpage
14
Abstract
According to the feature of particulate composite microstructure, an adaptive finite element mesh generation algorithm was developed for the multi-particle packing structure. Based on the force equilibrium method, mesh was compared to a truss structure with inner force; the distances between nodes to particles, particles to particles and curvature were adopted to build the mesh size function. The summation of force on nodes was calculated by the mesh size function and the force-length function. Then, the location of nodes was updated by iteration until the structure was equilibrium, and the adaptive mesh was formed. At last, adaptive meshes of two microstructures with different type particles were given. The result shows the algorithm captures geometrical and mechanical feature of the structure well, is simple and efficient to perform.
Keywords
CAD; composite materials; crystal microstructure; iterative methods; mesh generation; solid modelling; adaptive finite element mesh generation algorithm; adaptive meshes; composite materials; force equilibrium method; force summation; force-length function; geometrical feature; inner force; iteration; mechanical feature; mesh size function; multiparticle packing structure; node location; particulate composite microstructure; truss structure; type particles; Ellipsoids; Finite element methods; Force; Mesh generation; Microstructure; Three dimensional displays; adaptive; finite element method; geometric feature; mesh generation; microstructure;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5952413
Filename
5952413
Link To Document