Topology-Aware Blending Method for Implicit Heterogeneous Porous Model Design
Depeng Gao, Yang Gao, Yuanzhi Zhang, Hongwei Lin

TL;DR
This paper presents a topology-aware blending method for implicit heterogeneous porous models that effectively eliminates topological errors, ensuring high-quality structure integration for advanced material design.
Contribution
A novel blending approach using persistent homology optimization to prevent topological errors in porous structure integration.
Findings
Successfully avoids topological errors in blended structures
Controls shape and position of blending regions
Validated with high-quality porous structure results
Abstract
Porous structures are materials consisting of minuscule pores, where the microstructure morphology significantly impacts their macroscopic properties. Integrating different porous structures through a blending method is indispensable to cater to diverse functional regions in heterogeneous models. Previous studies on blending methods for porous structures have mainly focused on controlling the shape of blending regions, yet they have fallen short in effectively addressing topological errors in blended structures. This paper introduces a new blending method that successfully addresses this issue. Initially, a novel initialization method is proposed, which includes distinct strategies for blending regions of varying complexities. Subsequently, we formulate the challenge of eliminating topological errors as an optimization problem based on persistent homology. Through iterative…
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Computer Graphics and Visualization Techniques
