Model of Magnetic Barkhausen Noise for Characterization of Steel Materials

用于表征钢材的巴克豪森磁噪声模型

基本信息

  • 批准号:
    RGPIN-2017-06365
  • 负责人:
  • 金额:
    $ 2.26万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 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

Barkhausen Noise; Carbon Steels; Electrical Steels; Ferromagnetic Domain Structure; High Strength Steel; Magnetic Material Characterization; Magnetization Processes; Nondestructive Evaluation; Residual Stress Measurement
巴克豪森噪声;碳钢;电工钢;铁磁畴结构;高强度钢;磁性材料表征;磁化过程;无损评价;残余应力测量

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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Krause, Thomas其他文献

Foam fractionation Tags (F-Tags) enabling surfactant-free, activity-preserving recovery of enzymes.
  • DOI:
    10.1007/s00253-023-12837-1
  • 发表时间:
    2024-01-17
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Krause, Thomas;Keshavarzi, Behnam;Heitkam, Sascha;Ansorge-Schumacher, Marion B.
  • 通讯作者:
    Ansorge-Schumacher, Marion B.
Damage detection for wind turbine rotor blades using airborne sound
Drivers of systemic risk: Do national and European perspectives differ?
  • DOI:
    10.1016/j.jimonfin.2018.11.005
  • 发表时间:
    2019-03-01
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Buch, Claudia M.;Krause, Thomas;Tonzer, Lena
  • 通讯作者:
    Tonzer, Lena
Chronic sensory stroke with and without central pain is associated with bilaterally distributed sensory abnormalities as detected by quantitative sensory testing
  • DOI:
    10.1097/j.pain.0000000000000354
  • 发表时间:
    2016-01-01
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    Krause, Thomas;Asseyer, Susanna;Jungehulsing, Gerhard J.
  • 通讯作者:
    Jungehulsing, Gerhard J.
Thalamic sensory strokes with and without pain: differences in lesion patterns in the ventral posterior thalamus

Krause, Thomas的其他文献

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{{ truncateString('Krause, Thomas', 18)}}的其他基金

Model of Magnetic Barkhausen Noise for Characterization of Steel Materials
用于表征钢材的巴克豪森磁噪声模型
  • 批准号:
    RGPIN-2017-06365
  • 财政年份:
    2022
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Discovery Grants Program - Individual
Pulsed Eddy Current for Rapid Scanning of Insulated Steel in CANDU® Reactors
用于快速扫描 CANDU® 反应器中绝缘钢的脉冲涡流
  • 批准号:
    531210-2018
  • 财政年份:
    2021
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Collaborative Research and Development Grants
Model of Magnetic Barkhausen Noise for Characterization of Steel Materials
用于表征钢材的巴克豪森磁噪声模型
  • 批准号:
    RGPIN-2017-06365
  • 财政年份:
    2020
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Discovery Grants Program - Individual
Pulsed Eddy Current for Rapid Scanning of Insulated Steel in CANDU® Reactors
用于快速扫描 CANDU® 反应器中绝缘钢的脉冲涡流
  • 批准号:
    531210-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Collaborative Research and Development Grants
Fast screening for detection of heavy corrosion in insulated pipe using pulsed eddy current
使用脉冲涡流快速筛选检测保温管道中的重腐蚀
  • 批准号:
    507066-2016
  • 财政年份:
    2019
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Collaborative Research and Development Grants
Pulsed Eddy Current for Rapid Scanning of Insulated Steel in CANDU® Reactors
用于快速扫描 CANDU® 反应器中绝缘钢的脉冲涡流
  • 批准号:
    531210-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Collaborative Research and Development Grants
Sidewall eddy current monitoring of molten metal level and proximity in pyrometallurgical furnaces
火法冶金炉中熔融金属液位和接近度的侧壁涡流监测
  • 批准号:
    533336-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Collaborative Research and Development Grants
Model of Magnetic Barkhausen Noise for Characterization of Steel Materials
用于表征钢材的巴克豪森磁噪声模型
  • 批准号:
    RGPIN-2017-06365
  • 财政年份:
    2019
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Discovery Grants Program - Individual
Model of Magnetic Barkhausen Noise for Characterization of Steel Materials
用于表征钢材的巴克豪森磁噪声模型
  • 批准号:
    RGPIN-2017-06365
  • 财政年份:
    2018
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Discovery Grants Program - Individual
Investigation of Metal Magnetic Memory for Stress State Identification in Steel Components
用于钢构件应力状态识别的金属磁记忆研究
  • 批准号:
    524177-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 2.26万
  • 项目类别:
    Engage Grants Program

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用于节能布尔逻辑和人工智能硬件的磁斯格明子可逆计算和储层计算
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