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New highly-sensitive and non-contact methods for acoustic recognition and imaging of defects in composites

New highly-sensitive and non-contact methods for acoustic recognition and imaging of defects in composites
用于复合材料缺陷声学识别和成像的新型高灵敏非接触方法
批准号:
389769996
负责人:
Professor Dr. Marc Daniel Leonhard von Kreutzbruck
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2017
资助国家:
德国
项目状态:
已结题
起止时间:
2016-12-31 至 2020-12-31

项目摘要

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中文摘要
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英文摘要
The requirements and standards of quality assurance for materials and industrial components continue to be upgraded constantly to meet the ever-growing demands for reliability and safety in modern engineering systems.The project is aimed at enhancing efficiency and sensitivity of acoustic NDT techniques by using the concept of a local resonance of defects. The novelty of the proposed approach is that it provides a selective acoustic excitation and energy delivery from the wave directly to the defect via its mechanical resonance. By frequency match between a probing ultrasonic wave and the defect resonance, a substantial enhancement in efficiency and sensitivity of ultrasonic NDT techniques is validated. A significant improvement is expected for the family of prospective ultrasound-activated effects (nonlinear, thermal, etc.) which are usually comparatively inefficient so that the corresponding NDT and imaging techniques require an elevated acoustic power and specific instrumentation adapted to high-power ultrasonics. The project is concerned with development of the resonance and non-contact versions for the techniques of nonlinear ultrasonics and ultrasonic thermography (thermosonics) with advanced efficiency that enables to avoid high-power apparatuses and use conventional low-energy NDT equipment instead.To this end, a detailed theoretical analysis and numerical modelling of the local resonance-induced phenomena will be given for basic types of defects in composite materials. The simulation will include both linear and nonlinear resonant modes of defects to be applied for a comprehensive vibration spectrum analysis, the models of frictional heating to address a resonant acousto-thermal conversion.The experimental methodologies to be used for recognition of the defect resonance combine an acoustic (both contact and non/contact) excitation with monitoring a local vibration pattern and a defect thermal response by means of scanning laser vibrometry and IR-camera. A resonance amplification of defect vibrations results in a strong nonlinear defect response and a local spectral conversion. The nonlinear resonance modes to be studied and applied for a highly-sensitive defect recognition and imaging will include sub- and super-harmonic parametric resonances. The advantages of resonance ultrasonic thermography with an enhanced thermal response of defects will be elaborated and experimentally analysed for both linear and nonlinear vibration modes. A special emphasis will be given to investigation of non-contact resonance techniques with objective to create the methods which combine benefits of resonant approach with simplicity of conventional ultrasonic probing.The implementation of the project will result in substantial improvement of acoustic technologies for NDT and imaging of flaws in composite materials relevant to automotive, aviation and aerospace industries.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.ndteint.2018.12.008
发表时间: 2019-03-01
期刊: NDT & E INTERNATIONAL
影响因子: 4.2
作者: [Solodov, Igor, Rahammer, Markus, Kreutzbruck, Marc]
通讯作者: Kreutzbruck, Marc
DOI: 10.1016/j.jsv.2019.114916
发表时间: 2019-08
期刊: Journal of Sound and Vibration
影响因子: 4.7
作者: [I. Solodov;M. Kreutzbruck]
通讯作者: I. Solodov;M. Kreutzbruck
DOI: 10.3139/120.111179
发表时间: 2018
期刊: Materials Testing
影响因子: 2.5
作者: [M. Rahammer, M. Kreutzbruck]
通讯作者: M. Kreutzbruck
Ultrasonic frequency mixing via local defect resonance for defect imaging in composites.
通过局部缺陷共振进行超声波混频,用于复合材料中的缺陷成像
DOI: 10.1016/j.ultras.2020.106221
发表时间: 2020
期刊: Ultrasonics
影响因子: 4.2
作者: [I. Solodov, M. Kreutzbruck]
通讯作者: M. Kreutzbruck
9
    Micromechanical damage detection in fibre reinforced materials using ultrasonic birefringence
    • 批准号:
      393107521
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2018
    • 负责人:
      Professor Dr. Marc Daniel Leonhard von Kreutzbruck
    • 依托单位:
    AQTIVE - Active quantitative thermography using innovative vertical emitting lasers
    • 批准号:
      400857558
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2018
    • 负责人:
      Professor Dr. Marc Daniel Leonhard von Kreutzbruck
    • 依托单位:
    HEAT – High resolution detection of temperature distribution at cracktips of Amorphous Thermoplastics
    • 批准号:
      459023912
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      --
    • 负责人:
      Professor Dr. Marc Daniel Leonhard von Kreutzbruck
    • 依托单位:
    Monitoring and defect detection in production and maintenance of thick composite componentes
    • 批准号:
      428323347
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      --
    • 负责人:
      Professor Dr. Marc Daniel Leonhard von Kreutzbruck
    • 依托单位:
    国内基金
    海外基金
    陆地棉染色体分子指纹图谱的构建