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Article

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Title

From Structural Optimization Results to Parametric CAD Modeling - Automated, Skeletonization-Based Truss Recognition

Authors

[ 1 ] Instytut Mechaniki Stosowanej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2023

Published in

Applied Sciences

Journal year: 2023 | Journal volume: vol. 13 | Journal number: iss. 9

Article type

scientific article

Publication language

english

Keywords
EN
  • feature recognition
  • biomimetic structural optimization
  • mechanical design
Abstract

EN This paper presents an automated, skeletonization-based feature recognition system designed for use with biomimetic structural optimization results. It enables importing optimization results back to the CAD system as a set of parameterized geometries. The system decomposes the output of the structural optimization system into a set of simple CAD features, cylinders and spheres, enabling continuation of mechanical design workflow using native CAD representation. The system was designed to work in a fully automated mode accepting 3D objects as an input. The system uses mesh skeletonization to generate an initial solution which is refined using an evolutionary algorithm for the 3D geometry reconstruction. The system is designed as the last step of structural optimization. Applied for industrial use, it preserves unique features of this approach, such as excluding parts of the domain from optimization. The biomimetic topology optimization was used for structural optimization for all presented examples. The proposed algorithm is demonstrated using two cases: well-recognized cantilever beam optimization and industrial application of the structural optimization. For both cases, resultant geometry stress distribution is provided and analyzed.

Date of online publication

04.05.2023

Pages (from - to)

5670-1 - 5670-24

DOI

10.3390/app13095670

URL

https://www.mdpi.com/2076-3417/13/9/5670

Comments

Article Number: 5670

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

100

Impact Factor

2,5

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