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Cell geometry across the ring structure of Sitka spruce
T. P. S. Reynolds,
H. C. Burridge,
R. Johnston,
G. Wu,
D. U. Shah,
O. A. Scherman,
P. F. Linden,
M. H. Ramage,
Richard Johnston
Journal of The Royal Society Interface, Volume: 15, Issue: 142, Start page: 20180144
Swansea University Author: Richard Johnston
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DOI (Published version): 10.1098/rsif.2018.0144
Abstract
For wood to be used to its full potential as an engineering material, it is necessary to quantify links between its cell geometry and the properties it exhibits at bulk scale. Doing so will make it possible to predict timber properties crucial to engineering, such as mechanical strength and stiffnes...
Published in: | Journal of The Royal Society Interface |
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ISSN: | 1742-5689 1742-5662 |
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2018
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2018-06-04T15:28:23.6001941 v2 39527 2018-04-20 Cell geometry across the ring structure of Sitka spruce 23282e7acce87dd926b8a62ae410a393 0000-0003-1977-6418 Richard Johnston Richard Johnston true false 2018-04-20 MTLS For wood to be used to its full potential as an engineering material, it is necessary to quantify links between its cell geometry and the properties it exhibits at bulk scale. Doing so will make it possible to predict timber properties crucial to engineering, such as mechanical strength and stiffness, and the resistance to fluid flow, and to inform strategies to improve those properties as required, as well as to measure the effects of interventions such as genetic manipulation and chemical modification. Strength, stiffness and permeability of timber all derive from the geometry of its cells, and yet current practice is to predict them based on properties, such as bulk density, that do not directly describe the cell structure. This work explores links between micro-computed tomography data for structural-size pieces of wood, which show the variation of porosity across the wood's ring structure, and high-resolution tomography showing the geometry of the cells, from which we measure cell length, lumen area, porosity, cell wall thickness and the number density of cells. High-resolution scans, while informative, are time-consuming and expensive to run on a large number of samples at the scale of building components. By scanning the same volume of timber at both low and high resolutions (high-resolution scans over a near-continuous volume of timber of approx. 20 mm3 at 15 μm3 per voxel), we are able to demonstrate correlations between the measurements at the two different resolutions, reveal the physical basis for these correlations, and demonstrate that the data from the low-resolution scan can be used to estimate the variation in (small-scale) cell geometry throughout a structural-size piece of wood. Journal Article Journal of The Royal Society Interface 15 142 20180144 1742-5689 1742-5662 31 12 2018 2018-12-31 10.1098/rsif.2018.0144 https://datashare.is.ed.ac.uk/handle/10283/2960 Data can be found at: https://datashare.is.ed.ac.uk/handle/10283/2960 COLLEGE NANME Materials Science and Engineering COLLEGE CODE MTLS Swansea University 2018-06-04T15:28:23.6001941 2018-04-20T14:39:28.8509404 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering T. P. S. Reynolds 1 H. C. Burridge 2 R. Johnston 3 G. Wu 4 D. U. Shah 5 O. A. Scherman 6 P. F. Linden 7 M. H. Ramage 8 Richard Johnston 0000-0003-1977-6418 9 0039527-20042018144119.pdf reynolds2018.pdf 2018-04-20T14:41:19.0030000 Output 2709089 application/pdf Accepted Manuscript true 2018-04-20T00:00:00.0000000 true eng |
title |
Cell geometry across the ring structure of Sitka spruce |
spellingShingle |
Cell geometry across the ring structure of Sitka spruce Richard Johnston |
title_short |
Cell geometry across the ring structure of Sitka spruce |
title_full |
Cell geometry across the ring structure of Sitka spruce |
title_fullStr |
Cell geometry across the ring structure of Sitka spruce |
title_full_unstemmed |
Cell geometry across the ring structure of Sitka spruce |
title_sort |
Cell geometry across the ring structure of Sitka spruce |
author_id_str_mv |
23282e7acce87dd926b8a62ae410a393 |
author_id_fullname_str_mv |
23282e7acce87dd926b8a62ae410a393_***_Richard Johnston |
author |
Richard Johnston |
author2 |
T. P. S. Reynolds H. C. Burridge R. Johnston G. Wu D. U. Shah O. A. Scherman P. F. Linden M. H. Ramage Richard Johnston |
format |
Journal article |
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Journal of The Royal Society Interface |
container_volume |
15 |
container_issue |
142 |
container_start_page |
20180144 |
publishDate |
2018 |
institution |
Swansea University |
issn |
1742-5689 1742-5662 |
doi_str_mv |
10.1098/rsif.2018.0144 |
college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering |
url |
https://datashare.is.ed.ac.uk/handle/10283/2960 |
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description |
For wood to be used to its full potential as an engineering material, it is necessary to quantify links between its cell geometry and the properties it exhibits at bulk scale. Doing so will make it possible to predict timber properties crucial to engineering, such as mechanical strength and stiffness, and the resistance to fluid flow, and to inform strategies to improve those properties as required, as well as to measure the effects of interventions such as genetic manipulation and chemical modification. Strength, stiffness and permeability of timber all derive from the geometry of its cells, and yet current practice is to predict them based on properties, such as bulk density, that do not directly describe the cell structure. This work explores links between micro-computed tomography data for structural-size pieces of wood, which show the variation of porosity across the wood's ring structure, and high-resolution tomography showing the geometry of the cells, from which we measure cell length, lumen area, porosity, cell wall thickness and the number density of cells. High-resolution scans, while informative, are time-consuming and expensive to run on a large number of samples at the scale of building components. By scanning the same volume of timber at both low and high resolutions (high-resolution scans over a near-continuous volume of timber of approx. 20 mm3 at 15 μm3 per voxel), we are able to demonstrate correlations between the measurements at the two different resolutions, reveal the physical basis for these correlations, and demonstrate that the data from the low-resolution scan can be used to estimate the variation in (small-scale) cell geometry throughout a structural-size piece of wood. |
published_date |
2018-12-31T03:50:12Z |
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1763752450990276608 |
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11.035655 |