EPSRC Strategic Equipment - High Speed CT
EPSRC Strategic Equipment - High Speed CT
批准号:
EP/S010076/1
负责人:
Mark Williams
金额:
$137.71万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
X-ray Computed Tomography (XCT) is a scanning technique that enables full 3D visualisation and interrogation of internal and external geometries. It has become popular within industry (particularly manufacturing) and academic research as it enables us to see more than ever before at a variety of length scales and is completely non-destructive. The time taken to obtain this wealth of data is prohibitive to a number of applications with a single scan taking tens of minutes, up to a few hours. The equipment outlined in this proposal will enable high-resolution scans in tens of seconds, and even faster with some fundamental research. This is a UK first that will generate a wealth of scientific advancement.There have been a small countable number of "dynamic" experiments using lab based XCT scanners where a sample such as a novel material is sequentially loaded (e.g. compression) and scanned at each loading step. Here one can observe the changes in the material through time, identifying failure mechanisms, highlighting potential manufacturing improvements and aids in determining material properties. The reason for so few studies is that the number of scans required can lead to acquisition time of days. The substantial gain in speed with this equipment will reduce the total scan time to a matter of minutes with a continuously acquired dataset. The sample can then be evaluated at discrete points in time, and concentrate around the critical onset of failure observed. Scientific advancement in the development of new polymers, ceramics and metal alloys will be considerably accelerated with this unique characterisation capability.Manufacturing applications are often limited to a few high-value components because of the time taken to scan. The significant step change in speed will allow for high-throughput scanning that is desirable within the manufacturing line. This is the first step in a major revolution that will require big data analytics powered by machine learning algorithms to deliver accept/reject decisions in a reasonable time scale. Together this will be a driver for change in achieving 100% inspection of large component batches, at high resolution and at relevant cycle times.
期刊论文(10)
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DOI:
10.1016/j.matdes.2023.112160
发表时间:
2023-07
期刊:
Materials & Design
影响因子:
--
作者:
[Xinliang Yang;G. Gibbons;D. Tanner;Zushu Li;P. Wilson;M. Williams;H. Kotadia]
通讯作者:
Xinliang Yang;G. Gibbons;D. Tanner;Zushu Li;P. Wilson;M. Williams;H. Kotadia
Experimental and numerical characterisation of fibre orientation distributions in compression moulded carbon fibre SMC
压塑碳纤维 SMC 中纤维取向分布的实验和数值表征
DOI:
10.1080/14658011.2022.2108984
发表时间:
2022
期刊:
Plastics, Rubber and Composites
影响因子:
--
作者:
[Qian C]
通讯作者:
Qian C
DOI:
10.1016/j.conbuildmat.2020.121700
发表时间:
2021-01-29
期刊:
CONSTRUCTION AND BUILDING MATERIALS
影响因子:
7.4
作者:
[Al-Nabulsi, Z., Mottram, J. T., Williams, M. A.]
通讯作者:
Williams, M. A.
Application of compact laser-driven accelerator X-ray sources for industrial imaging
紧凑型激光驱动加速器X射线源在工业成像中的应用
DOI:
10.1016/j.nima.2020.164369
发表时间:
2020
期刊:
Accelerators, Spectrometers, Detectors and Associated Equipment
影响因子:
--
作者:
[Gruse J]
通讯作者:
Gruse J
DOI:
10.1016/j.matdes.2023.111741
发表时间:
2023-02
期刊:
Materials & Design
影响因子:
--
作者:
[Mert Gülçür;P. Wilson;Michael J. Donnelly;K. Couling;V. Goodship;J. Charmet;M. Williams;G. Gibbons]
通讯作者:
Mert Gülçür;P. Wilson;Michael J. Donnelly;K. Couling;V. Goodship;J. Charmet;M. Williams;G. Gibbons
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Microfossil provenance of British Iron Age lowland ceramic artefacts
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海外基金