Ajit Panesar
Hierarchical remeshing strategies with mesh mapping for topology optimisation
Panesar, Ajit; Brackett, David; Ashcroft, Ian; Wildman, Ricky D.; Hague, Richard
Authors
David Brackett
IAN ASHCROFT IAN.ASHCROFT@NOTTINGHAM.AC.UK
Professor of Mechanics of Solids
Ricky D. Wildman
RICHARD HAGUE RICHARD.HAGUE@NOTTINGHAM.AC.UK
Professor of Additive Manufacturing
Abstract
This work investigates the use of hierarchical mesh decomposition strategies for topology optimisation using bi-directional evolutionary structural optimisation algorithm. The proposed method uses a dual mesh system that decouples the design variables from the finite element analysis mesh. The investigation focuses on previously unexplored areas of these techniques to investigate the effect of five meshing parameters on the analysis solving time (i.e. computational effort) and the analysis quality (i.e. solution optimality). The foreground mesh parameters, including adjacency ratio and minimum and maximum element size, were varied independently across solid and void domain regions. Within the topology optimisation, strategies for controlling the mesh parameters were investigated. The differing effects of these parameters on the efficiency and efficacy of the analysis and optimisation stages are discussed, and recommendations are made for parameter combinations. Some of the key findings were that increasing the adjacency ratio increased the efficiency only modestly – the largest effect was for the minimum and maximum element size parameters – and that the most dramatic reduction in solve time can be achieved by not setting the minimum element size too low, assuming mapping onto a background mesh with a minimum element size of 1.
Citation
Panesar, A., Brackett, D., Ashcroft, I., Wildman, R. D., & Hague, R. (2017). Hierarchical remeshing strategies with mesh mapping for topology optimisation. International Journal for Numerical Methods in Engineering, https://doi.org/10.1002/nme.5488
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 3, 2016 |
Online Publication Date | Dec 14, 2016 |
Publication Date | Feb 7, 2017 |
Deposit Date | Feb 8, 2017 |
Publicly Available Date | Mar 29, 2024 |
Journal | International Journal for Numerical Methods in Engineering |
Print ISSN | 0029-5981 |
Electronic ISSN | 1097-0207 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1002/nme.5488 |
Public URL | https://nottingham-repository.worktribe.com/output/847251 |
Publisher URL | http://onlinelibrary.wiley.com/doi/10.1002/nme.5488/abstract |
Files
Panesar_et_al-2017-International_Journal_for_Numerical_Methods_in_Engineering.pdf
(2.6 Mb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
You might also like
Printing biohybrid materials for bioelectronic cardio-3D-cellular constructs
(2022)
Journal Article
Functionalized Gold Nanoparticles with a Cohesion Enhancer for Robust Flexible Electrodes
(2022)
Journal Article
From impact to solidification in drop-on-demand metal additive manufacturing using MetalJet
(2022)
Journal Article
3D reactive inkjet printing of bisphenol A-polycarbonate
(2022)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search