An error diffusion based method to generate functionally graded cellular structures
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...
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| Format: | Article |
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Elsevier
2014
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| Online Access: | https://eprints.nottingham.ac.uk/44744/ |
| _version_ | 1848796988933406720 |
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| author | Brackett, D. Ashcroft, I. Wildman, R.D. Hague, Richard J.M. |
| author_facet | Brackett, D. Ashcroft, I. Wildman, R.D. Hague, Richard J.M. |
| author_sort | Brackett, D. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:56:44Z |
| format | Article |
| id | nottingham-44744 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:56:44Z |
| publishDate | 2014 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-447442020-05-04T16:48:32Z https://eprints.nottingham.ac.uk/44744/ An error diffusion based method to generate functionally graded cellular structures Brackett, D. Ashcroft, I. Wildman, R.D. Hague, Richard J.M. 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. Elsevier 2014-07-01 Article PeerReviewed Brackett, D., Ashcroft, I., Wildman, R.D. and Hague, Richard J.M. (2014) An error diffusion based method to generate functionally graded cellular structures. Computers & Structures, 138 . pp. 102-111. ISSN 0045-7949 Cellular structure Functional grading Error diffusion Additive manufacturing Voronoi Delaunay https://doi.org/10.1016/j.compstruc.2014.03.004 doi:10.1016/j.compstruc.2014.03.004 doi:10.1016/j.compstruc.2014.03.004 |
| spellingShingle | Cellular structure Functional grading Error diffusion Additive manufacturing Voronoi Delaunay Brackett, D. Ashcroft, I. Wildman, R.D. Hague, Richard J.M. An error diffusion based method to generate functionally graded cellular structures |
| title | An error diffusion based method to generate functionally graded cellular structures |
| title_full | An error diffusion based method to generate functionally graded cellular structures |
| title_fullStr | An error diffusion based method to generate functionally graded cellular structures |
| title_full_unstemmed | An error diffusion based method to generate functionally graded cellular structures |
| title_short | An error diffusion based method to generate functionally graded cellular structures |
| title_sort | error diffusion based method to generate functionally graded cellular structures |
| topic | Cellular structure Functional grading Error diffusion Additive manufacturing Voronoi Delaunay |
| url | https://eprints.nottingham.ac.uk/44744/ https://eprints.nottingham.ac.uk/44744/ https://eprints.nottingham.ac.uk/44744/ |