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Skeleton-Based Volumetric Parameterizations for Lattice Structures

Long Chen1,*, Shuxun Liang2, Nan Yan2, Xiangqian Yang2, Baotong Li3

1 School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
2 School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
3 Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, 710049, China

* Corresponding Author: Long Chen. Email: email

(This article belongs to this Special Issue: Integration of Geometric Modeling and Numerical Simulation)

Computer Modeling in Engineering & Sciences 2023, 135(1), 687-709. https://doi.org/10.32604/cmes.2022.021986

Abstract

Lattice structures with excellent physical properties have attracted great research interest. In this paper, a novel volume parametric modeling method based on the skeleton model is proposed for the construction of three-dimensional lattice structures. The skeleton model is divided into three types of nodes. And the corresponding algorithms are utilized to construct diverse types of volume parametric nodes. The unit-cell is assembled with distinct nodes according to the geometric features. The final lattice structure is created by the periodic arrangement of unit-cells. Several different types of volume parametric lattice structures are constructed to prove the stability and applicability of the proposed method. The quality is assessed in terms of the value of the Jacobian matrix. Moreover, the volume parametric lattice structures are tested with the isogeometric analysis to verify the feasibility of integration of modeling and simulation.

Graphical Abstract

Skeleton-Based Volumetric Parameterizations for Lattice Structures

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Cite This Article

Chen, L., Liang, S., Yan, N., Yang, X., Li, B. (2023). Skeleton-Based Volumetric Parameterizations for Lattice Structures. CMES-Computer Modeling in Engineering & Sciences, 135(1), 687–709.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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