D. Brackett
An error diffusion based method to generate functionally graded cellular structures
Brackett, D.; Ashcroft, I.; Wildman, R.D.; Hague, Richard J.M.
Authors
I. Ashcroft
R.D. Wildman
Richard J.M. Hague
Abstract
The spatial variation of cell size in a functionally graded cellular structure is achieved using error diffusion to convert a continuous tone image into binary form. Effects of two control parameters, greyscale value and resolution on the resulting cell size measures were investigated. Variation in cell edge length was greatest for the Voronoi connection scheme, particularly at certain parameter combinations. Relationships between these parameters and cell size were identified and applied to an example, where the target was to control the minimum and maximum cell size. In both cases there was an 8% underestimation of cell area for target regions.
Citation
Brackett, D., Ashcroft, I., Wildman, R., & Hague, R. J. (2014). An error diffusion based method to generate functionally graded cellular structures. Computers and Structures, 138, https://doi.org/10.1016/j.compstruc.2014.03.004
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 19, 2014 |
Online Publication Date | Apr 18, 2014 |
Publication Date | Jul 1, 2014 |
Deposit Date | Aug 8, 2017 |
Publicly Available Date | Aug 8, 2017 |
Journal | Computers & Structures |
Electronic ISSN | 0045-7949 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 138 |
DOI | https://doi.org/10.1016/j.compstruc.2014.03.004 |
Keywords | Cellular structure, Functional grading, Error diffusion, Additive manufacturing, Voronoi, Delaunay |
Public URL | https://nottingham-repository.worktribe.com/output/729384 |
Publisher URL | https://doi.org/10.1016/j.compstruc.2014.03.004 |
Contract Date | Aug 8, 2017 |
Files
Cellular 1-s2.0-S0045794914000856-main.pdf
(4.4 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
Drop-on-demand 3D printing of programable magnetic composites for soft robotics
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@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 © 2025
Advanced Search