Smooth geometry extraction from SIMP topology optimization: Signed distance function approach with volume preservation
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914185851437056 |
|---|---|
| author | Ježek, Ondřej Kopačka, Ján Isoz, Martin Gabriel, Dušan Maršálek, Pavel Šotola, Martin Halama, Radim |
| author_facet | Ježek, Ondřej Kopačka, Ján Isoz, Martin Gabriel, Dušan Maršálek, Pavel Šotola, Martin Halama, Radim |
| contents | This paper presents a novel post-processing methodology for extracting high-quality geometries from density-based topology optimization results. Current post-processing approaches often struggle to simultaneously achieve smooth boundaries, preserve volume fraction, and maintain topological features. We propose a robust method based on a signed distance function (SDF) that addresses these challenges through a two-stage process: first, an SDF representation of density isocontours is constructed, which is followed by geometry refinement using radial basis functions (RBFs). The method generates smooth boundary representations that appear to originate from much finer discretizations while maintaining the computational efficiency of coarse mesh optimization. Through comprehensive validation, our approach demonstrates a 18% reduction in maximum equivalent stress values compared to conventional methods, achieved through continuous geometric transitions at boundaries. The resulting implicit boundary representation facilitates seamless export to standard manufacturing formats without intermediate reconstruction steps, providing a robust foundation for practical engineering applications where high-quality geometric representations are essential. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_06976 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Smooth geometry extraction from SIMP topology optimization: Signed distance function approach with volume preservation Ježek, Ondřej Kopačka, Ján Isoz, Martin Gabriel, Dušan Maršálek, Pavel Šotola, Martin Halama, Radim Computational Engineering, Finance, and Science 65D18 (Primary) 74P15 65D17 65D10 I.3.5; G.1.6 This paper presents a novel post-processing methodology for extracting high-quality geometries from density-based topology optimization results. Current post-processing approaches often struggle to simultaneously achieve smooth boundaries, preserve volume fraction, and maintain topological features. We propose a robust method based on a signed distance function (SDF) that addresses these challenges through a two-stage process: first, an SDF representation of density isocontours is constructed, which is followed by geometry refinement using radial basis functions (RBFs). The method generates smooth boundary representations that appear to originate from much finer discretizations while maintaining the computational efficiency of coarse mesh optimization. Through comprehensive validation, our approach demonstrates a 18% reduction in maximum equivalent stress values compared to conventional methods, achieved through continuous geometric transitions at boundaries. The resulting implicit boundary representation facilitates seamless export to standard manufacturing formats without intermediate reconstruction steps, providing a robust foundation for practical engineering applications where high-quality geometric representations are essential. |
| title | Smooth geometry extraction from SIMP topology optimization: Signed distance function approach with volume preservation |
| topic | Computational Engineering, Finance, and Science 65D18 (Primary) 74P15 65D17 65D10 I.3.5; G.1.6 |
| url | https://arxiv.org/abs/2512.06976 |