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12 November 2024 Morphological characteristics modeling and fluid simulation of metal fiber sintered felt based on growth model and Monte-Carlo method
Hansheng Yan, Bo Wei, Zhengtao Xiao
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Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 1339503 (2024) https://doi.org/10.1117/12.3048696
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
Fibrous porous material has complex special network structure and porosity feature. Effective digital description of these complex micro structures is a challenge that needs to be solved in engineering fields. Building digital model for active design is the basis of function design and manufacturing optimization of related materials. In this paper, a new digital modeling method that aims at metal fibrous porous material is explored based on the growth model viewpoint and using Monte Carlo method. It means to build a parametric feature model which can map the forming processes of these complex micro structures. This feature model makes advances in geometric authenticity and parameters controllability by introducing porosity, gravity and interference as feature control parameters. By comparing the feature attributes with the reverse scanning reconstruction model and combined with fluid simulation experiments, the efficiency of active design model for describing metal fibrous porous structures is verified.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Hansheng Yan, Bo Wei, and Zhengtao Xiao "Morphological characteristics modeling and fluid simulation of metal fiber sintered felt based on growth model and Monte-Carlo method", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 1339503 (12 November 2024); https://doi.org/10.1117/12.3048696
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KEYWORDS
Reverse modeling
Structured optical fibers
3D modeling
Metals
Porosity
Monte Carlo methods
Statistical modeling
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