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    Model-Based Study of a Metamaterial Lens for Nondestructive Evaluation of Composites

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2020:;volume( 003 ):;issue: 004
    Author:
    Datta, Srijan
    ,
    Shi, Xiaodong
    ,
    Mukherjee, Saptarshi
    ,
    Deng, Yiming
    ,
    Udpa, Lalita
    DOI: 10.1115/1.4047027
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Composites are being increasingly used in various industries due to their lower cost and superior mechanical properties over traditional materials. They are nevertheless vulnerable to various defects during manufacturing or usage which can cause failure of critical engineering structures. Hence, there is a growing need for nondestructive evaluation (NDE) of composites to detect such defective structures and avoid significant loss and damages. Microwave NDE has several advantages over other existing NDE techniques for detecting defects or faults in non-conducting composites or dielectrics. One of the primary benefits of microwaves is large probe-standoff distances which allow for rapid scan times. However, the resolution of such far-field microwave sensors is diffraction limited. Metamaterial-based lens, also known as “superlens,” can achieve resolution beyond the diffraction limits due to its unique electromagnetic (EM) properties. This contribution focuses on the physical design of a metamaterial lens. The theory underlying the design of a metamaterial lens is presented followed by simulation and experimental results. This paper also investigates the feasibility of using the metamaterial lens for improving the resolution of microwave imaging in NDE of composites.
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      Model-Based Study of a Metamaterial Lens for Nondestructive Evaluation of Composites

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    contributor authorDatta, Srijan
    contributor authorShi, Xiaodong
    contributor authorMukherjee, Saptarshi
    contributor authorDeng, Yiming
    contributor authorUdpa, Lalita
    date accessioned2022-02-04T14:37:22Z
    date available2022-02-04T14:37:22Z
    date copyright2020/05/15/
    date issued2020
    identifier issn2572-3901
    identifier othernde_3_4_041001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4274044
    description abstractComposites are being increasingly used in various industries due to their lower cost and superior mechanical properties over traditional materials. They are nevertheless vulnerable to various defects during manufacturing or usage which can cause failure of critical engineering structures. Hence, there is a growing need for nondestructive evaluation (NDE) of composites to detect such defective structures and avoid significant loss and damages. Microwave NDE has several advantages over other existing NDE techniques for detecting defects or faults in non-conducting composites or dielectrics. One of the primary benefits of microwaves is large probe-standoff distances which allow for rapid scan times. However, the resolution of such far-field microwave sensors is diffraction limited. Metamaterial-based lens, also known as “superlens,” can achieve resolution beyond the diffraction limits due to its unique electromagnetic (EM) properties. This contribution focuses on the physical design of a metamaterial lens. The theory underlying the design of a metamaterial lens is presented followed by simulation and experimental results. This paper also investigates the feasibility of using the metamaterial lens for improving the resolution of microwave imaging in NDE of composites.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleModel-Based Study of a Metamaterial Lens for Nondestructive Evaluation of Composites
    typeJournal Paper
    journal volume3
    journal issue4
    journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
    identifier doi10.1115/1.4047027
    page41001
    treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2020:;volume( 003 ):;issue: 004
    contenttypeFulltext
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