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Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting

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Published on: May 14, 2016

A Surface-Enabled Computational Homogenization Method for Variable-Density Polymer Lattice Metastructures.

Aofei Zhang¹, Shuo Li¹, Ling Ling¹

¹State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

|April 28, 2025

Summary

This summary is machine-generated.

Predicting polymer lattice mechanical properties is improved by understanding surface effects. A new surface law and computational framework enable efficient and precise prediction of variable-density lattice metastructures.

Keywords:

lattice metastructure metamaterial polymer surface effect surface-enhanced computational homogenization variable density surface law

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Area of Science:

Materials Science
Mechanical Engineering
Computational Mechanics

Background:

Predicting mechanical properties of variable-density polymer lattice metastructures is challenging due to surface-induced size effects.
Current models lack a comprehensive understanding of how surface phenomena influence macroscopic behavior in these complex structures.

Purpose of the Study:

To identify and characterize a novel variable-density surface law governing surface intrinsic length at the macroscopic scale.
To develop an efficient and precise predictive model for the mechanical behavior of variable-density polymer lattice metastructures.

Main Methods:

Large-scale, high-fidelity finite element simulations were employed to discover the variable-density surface law.
A surface-enhanced computational homogenization framework was developed, incorporating the discovered surface law and surface intrinsic length parameters.
An offline database generated via high-throughput numerical simulations was utilized to build the predictive model.

Main Results:

A novel variable-density surface law was identified, crucial for understanding macroscopic surface effects.
An efficient predictive model capable of online analysis for mechanical behavior was successfully developed.
The model effectively preserves configuration-dependent surface effects, enhancing prediction accuracy.

Conclusions:

The developed surface-enhanced computational homogenization framework significantly advances the prediction of mechanical properties in variable-density polymer lattice metastructures.
This approach overcomes limitations in understanding surface-induced size effects, offering both efficiency and precision.
The findings pave the way for improved design and application of advanced polymer lattice materials.