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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 Orcid Logo

Journal of The Royal Society Interface, Volume: 15, Issue: 142, Start page: 20180144

Swansea University Author: Richard Johnston Orcid Logo

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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...

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Published in: Journal of The Royal Society Interface
ISSN: 1742-5689 1742-5662
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa39527
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spelling 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
container_title 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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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str 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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