Next generation of non-destructive testing of composites using advanced ultrasound imaging
使用先进超声成像对复合材料进行下一代无损检测
基本信息
- 批准号:548826-2019
- 负责人:
- 金额:$ 1.53万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In recent years, there has been a surge in the application of advanced composites and a transition from legacy
metallic structures to composite structures across many industries, including aerospace. This is in part fueled by the promise of superior properties of composites over their metallic counterparts and in part by the desire to move towards lighter and more efficient structures. As composites are increasingly used in more complex structures and faster manufacturing processes, the need for quality control becomes a critical aspect of the fabrication. The current standard for non-destructive inspection is conventional ultrasound imaging, which has fundamental limitations to detect and quantify various types of defects. This NSERC Alliance Partnership grant defines a new collaborative project between material engineers and ultrasound imaging experts to develop the next generation of non-destructive imaging techniques. We will integrate process recent advancements in ultrasound imagining to develop a framework that accurately detects and quantifies the presence of defects in composite parts. In the short-term, the focus of the immediate project is on the aerospace industry. In the long-term, this framework can be transferred to other industries including automotive and energy sectors. Our imaging solutions will be compatible with the manufacturing processes of our industrial partner, the Boeing Company. Our record of success, complimentary skills, extensive collaborations, and leadership will achieve this vision. HQP trained in this project will gain necessary skills to meet the pressing needs of Canadian industry and academia. The demand for HQP with image and data analytics, and composite material research is growing substantially. These HQP will readily attain employment in Canadian companies, e.g., aerospace and automotive.
近年来,先进复合材料的应用激增,
从金属结构到复合材料结构,涵盖包括航空航天在内的许多行业。这部分是由于复合材料相对于其金属对应物具有上级性能的承诺,部分是由于希望转向更轻和更有效的结构。随着复合材料越来越多地用于更复杂的结构和更快的制造工艺中,对质量控制的需求成为制造的关键方面。目前的无损检测标准是传统的超声成像,其在检测和量化各种类型的缺陷方面具有根本的局限性。该NSERC联盟合作伙伴关系赠款定义了材料工程师和超声成像专家之间的新合作项目,以开发下一代无损成像技术。我们将整合超声成像的最新进展,开发一个框架,准确检测和量化复合材料零件中缺陷的存在。在短期内,当前项目的重点是航空航天工业。从长远来看,这一框架可以转移到其他行业,包括汽车和能源行业。我们的成像解决方案将与我们的工业合作伙伴波音公司的制造工艺兼容。我们的成功记录,互补的技能,广泛的合作和领导将实现这一愿景。在这个项目中培训的HQP将获得必要的技能,以满足加拿大工业和学术界的迫切需要。对图像和数据分析以及复合材料研究的HQP需求正在大幅增长。这些HQP将很容易在加拿大公司找到工作,例如,航空航天和汽车。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Abolmaesumi, Purang其他文献
PROSTATE CANCER DIAGNOSIS WITH SPARSE BIOPSY DATA AND IN PRESENCE OF LOCATION UNCERTAINTY.
- DOI:
10.1109/isbi48211.2021.9433892 - 发表时间:
2021-04 - 期刊:
- 影响因子:0
- 作者:
Mehrtash, Alireza;Kapur, Tina;Tempany, Clare M.;Abolmaesumi, Purang;Wells, William M., III - 通讯作者:
Wells, William M., III
Point-based rigid-body registration using an unscented kalman filter
- DOI:
10.1109/tmi.2007.901984 - 发表时间:
2007-12-01 - 期刊:
- 影响因子:10.6
- 作者:
Moghari, Mehdi Hedjazi;Abolmaesumi, Purang - 通讯作者:
Abolmaesumi, Purang
A multi-vertebrae CT to US registration of the lumbar spine in clinical data
- DOI:
10.1007/s11548-015-1247-5 - 发表时间:
2015-09-01 - 期刊:
- 影响因子:3
- 作者:
Nagpal, Simrin;Abolmaesumi, Purang;Mousavi, Parvin - 通讯作者:
Mousavi, Parvin
Tissue typing using ultrasound RF time series: Experiments with animal tissue samples
- DOI:
10.1118/1.3457710 - 发表时间:
2010-08-01 - 期刊:
- 影响因子:3.8
- 作者:
Moradi, Mehdi;Abolmaesumi, Purang;Mousavi, Parvin - 通讯作者:
Mousavi, Parvin
Spinal Needle Navigation by Tracked Ultrasound Snapshots
- DOI:
10.1109/tbme.2012.2209881 - 发表时间:
2012-10-01 - 期刊:
- 影响因子:4.6
- 作者:
Ungi, Tamas;Abolmaesumi, Purang;Mousavi, Parvin - 通讯作者:
Mousavi, Parvin
Abolmaesumi, Purang的其他文献
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{{ truncateString('Abolmaesumi, Purang', 18)}}的其他基金
Towards New Frontiers in Computer Assisted Image Guidance with Next Generation Point of Care Ultrasound
利用下一代护理点超声迈向计算机辅助图像引导的新领域
- 批准号:
RGPIN-2018-03844 - 财政年份:2022
- 资助金额:
$ 1.53万 - 项目类别:
Discovery Grants Program - Individual
Next generation machine learning technologies for democratizing healthcare through point of care ultrasound
下一代机器学习技术通过护理点超声实现医疗保健民主化
- 批准号:
556820-2020 - 财政年份:2021
- 资助金额:
$ 1.53万 - 项目类别:
Alliance Grants
Rising from the pandemic: Towards sustainable development of machine learning technologies for point-of-care Ultrasound Imaging
从大流行中崛起:致力于床旁超声成像机器学习技术的可持续发展
- 批准号:
570487-2021 - 财政年份:2021
- 资助金额:
$ 1.53万 - 项目类别:
Alliance Grants
Towards New Frontiers in Computer Assisted Image Guidance with Next Generation Point of Care Ultrasound
利用下一代护理点超声迈向计算机辅助图像引导的新领域
- 批准号:
RGPIN-2018-03844 - 财政年份:2021
- 资助金额:
$ 1.53万 - 项目类别:
Discovery Grants Program - Individual
Ultrasound Imaging for Next Generation Non-destructive Inspection of Advanced Materials
用于先进材料下一代无损检测的超声成像
- 批准号:
RTI-2022-00095 - 财政年份:2021
- 资助金额:
$ 1.53万 - 项目类别:
Research Tools and Instruments
Next Generation Micro-ultrasound Technology for Detection and Monitoring of Prostate Cancer
用于前列腺癌检测和监测的下一代微超声技术
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549532-2020 - 财政年份:2020
- 资助金额:
$ 1.53万 - 项目类别:
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Towards New Frontiers in Computer Assisted Image Guidance with Next Generation Point of Care Ultrasound
利用下一代护理点超声迈向计算机辅助图像引导的新领域
- 批准号:
RGPIN-2018-03844 - 财政年份:2020
- 资助金额:
$ 1.53万 - 项目类别:
Discovery Grants Program - Individual
Next generation machine learning technologies for democratizing healthcare through point of care ultrasound
下一代机器学习技术通过护理点超声实现医疗保健民主化
- 批准号:
556820-2020 - 财政年份:2020
- 资助金额:
$ 1.53万 - 项目类别:
Alliance Grants
Towards New Frontiers in Computer Assisted Image Guidance with Next Generation Point of Care Ultrasound
利用下一代护理点超声迈向计算机辅助图像引导的新领域
- 批准号:
RGPIN-2018-03844 - 财政年份:2019
- 资助金额:
$ 1.53万 - 项目类别:
Discovery Grants Program - Individual
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