Persistent Homology-Driven Optimization of Effective Relative Density Range for Triply Periodic Minimal Surface
Gao Depeng, Zhang Yuanzhi, Lin Hongwei

TL;DR
This paper uses persistent homology to theoretically extend the effective relative density range of triply periodic minimal surfaces, enabling better fabrication and application in porous structure design.
Contribution
It introduces a novel topological approach to extend the density range of TPMSs, improving their manufacturability and performance in engineering applications.
Findings
Successfully extended the EDRs of TPMSs through topological analysis.
Extended TPMSs show improved performance in porous structure design.
Experimental validation confirms the effectiveness of the method.
Abstract
Triply periodic minimal surfaces (TPMSs) play a vital role in the design of porous structures, with applications in bone tissue engineering, chemical engineering, and the creation of lightweight models. However, fabrication of TPMSs via additive manufacturing is feasible only within a specific range of relative densities, termed the effective relative density range (EDR), outside of which TPMSs exhibit unmanufacturable features. In this study, the persistent homology is applied to theoretically calculate and extend the EDRs of TPMSs. The TPMSs with extended EDRs are referred to as extended TPMSs. To achieve this, TPMSs are converted into implicit B-spline representation through fitting. By analyzing the symmetry of TPMSs, a partial fitting method is utilized to preserve the symmetry and enhance fitting precision. A topological objective function is modeled based on the understanding of…
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques
