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

基本信息

  • 批准号:
    RTI-2022-00095
  • 负责人:
  • 金额:
    $ 10.86万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Research Tools and Instruments
  • 财政年份:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

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 and automotive. This is in part fuelled 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 Research Tools and Instruments grant defines a new collaborative project between ultrasound imaging experts and materials engineers to develop the next generation of non-destructive inspection imaging techniques. We will integrate our patented, 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 partners. Our record of success, complimentary skills, extensive collaborations, and leadership will achieve this vision. As a diverse team with demonstrated leadership in equity, diversity and inclusion, we are well positioned to further promote EDI across the entire research program, including the recruitment of HQP and their placement. HQP trained in this research program will gain necessary skills to meet the pressing needs of Canadian industry and academia. The demand for HQP with image and data analytics, and composites 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,从传统的金属结构过渡到复合材料结构,跨越了许多行业,包括航空航天和汽车。这在一定程度上是由于复合材料具有优于金属材料的上级性能的前景,以及人们希望向更轻和更有效的结构发展。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研究工具和仪器拨款定义了超声成像专家和材料工程师之间的新合作项目,以开发下一代无损检测成像技术。我们将整合我们在超声成像方面的专利和最新进展,以开发一个框架,准确检测和量化复合材料部件中缺陷的存在。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。作为一个多元化的团队,在公平,多样性和包容性方面表现出领导力,我们有能力在整个研究计划中进一步推广EDI,包括HQP的招聘和安置。在这个研究项目中培训的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求。对HQP图像和数据分析以及复合材料研究的需求正在大幅增长。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)
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会议论文数量(0)
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Abolmaesumi, Purang其他文献

PROSTATE CANCER DIAGNOSIS WITH SPARSE BIOPSY DATA AND IN PRESENCE OF LOCATION UNCERTAINTY.
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
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

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:
    $ 10.86万
  • 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:
    $ 10.86万
  • 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:
    $ 10.86万
  • 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:
    $ 10.86万
  • 项目类别:
    Discovery Grants Program - Individual
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
  • 批准号:
    548826-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 10.86万
  • 项目类别:
    Alliance Grants
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
  • 批准号:
    549532-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 10.86万
  • 项目类别:
    Collaborative Health Research Projects
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:
    $ 10.86万
  • 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:
    $ 10.86万
  • 项目类别:
    Alliance Grants
Biomedical Engineering
生物医学工程
  • 批准号:
    1000230374-2014
  • 财政年份:
    2019
  • 资助金额:
    $ 10.86万
  • 项目类别:
    Canada Research Chairs
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:
    $ 10.86万
  • 项目类别:
    Discovery Grants Program - Individual

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