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2013 (Vol. 5, Issue: 06)
Article Information:

A Novel Algorithm for Grid Assembly based Porous Structure Modeling

Wei Lou, Yuan Yao, Xiaohu Huang, Min Cheng and Qingxi Hu
Corresponding Author:  Yuan Yao 

Key words:  Algorithm for grid assembly, porous structure modeling, sample learning, , , ,
Vol. 5 , (06): 793-799
Submitted Accepted Published
March 04, 2013 April 04, 2013 June 05, 2013
Abstract:

This study presents a novel algorithm for assembling cell pore structure to enhance the connectivity of porous medium used in the medical science. Firstly based on sample learning, the designed cell pore structure is assembled and thus the parametric pore model can be established. Then the model is optimized by using random decision forests as evaluator and KD tree as the nearest neighbor searching area in the high dimensional space. Finally the parametric model can be transformed to solid model for evaluating the robustness of the proposed algorithm with the aid of the second development platform of UG. The test verifies that the proposed method can assemble and optimize the established cell pore model and thus significantly improve the correlation among cell models and successfully solve the difficult problem that the connectivity among cell models canít easily be controlled.
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  Cite this Reference:
Wei Lou, Yuan Yao, Xiaohu Huang, Min Cheng and Qingxi Hu, 2013. A Novel Algorithm for Grid Assembly based Porous Structure Modeling.  Advance Journal of Food Science and Technology, 5(06): 793-799.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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