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    Progressive Failure Monitoring of Fiber-Reinforced Metal Laminate Composites Using a Nondestructive Approach

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2019:;volume ( 002 ):;issue: 002::page 21006
    Author:
    Carmi, Rami
    ,
    Wisner, Brian
    ,
    Vanniamparambil, Prashanth A.
    ,
    Cuadra, Jefferson
    ,
    Bussiba, Arie
    ,
    Kontsos, Antonios
    DOI: 10.1115/1.4043713
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Fiber-reinforced metal laminate (FRML) composites are currently used as a structural material in the aerospace industry. A common FRML, glass layered aluminum reinforced epoxy (Glare), possesses a set of mechanical properties which was achieved by designing its layup structure to combine metal alloy and fiber-reinforced polymer phases. Beyond static and dynamic mechanical properties at the material characterization phase, however, the need exists to develop methods that could assess the evolving material state of Glare, especially in a progressive failure context. This paper presents a nondestructive approach to monitor the damage at the material scale and combine such information with characterization and postmortem evaluation methods, as well as data postprocessing to provide an assessment of the failure process during monotonic loading conditions. The approach is based on multiscale sensing using the acoustic emission (AE) method, which was augmented in this paper in two ways. First, by applying it to all material components separately in addition to actual Glare specimens. Second, by performing testing and evaluation at both the laboratory scale as well as at the scale defined inside the scanning electron microscopy. Such elaborate testing and nondestructive evaluation results provided the basis for the application of digital signal processing and machine learning methods which were capable to identify data trends that are shown to be correlated with the evolution of failure modes in Glare.
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      Progressive Failure Monitoring of Fiber-Reinforced Metal Laminate Composites Using a Nondestructive Approach

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    contributor authorCarmi, Rami
    contributor authorWisner, Brian
    contributor authorVanniamparambil, Prashanth A.
    contributor authorCuadra, Jefferson
    contributor authorBussiba, Arie
    contributor authorKontsos, Antonios
    date accessioned2019-09-18T09:01:38Z
    date available2019-09-18T09:01:38Z
    date copyright5/30/2019 0:00
    date issued2019
    identifier issn2572-3901
    identifier othernde_2_2_021006
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4258015
    description abstractFiber-reinforced metal laminate (FRML) composites are currently used as a structural material in the aerospace industry. A common FRML, glass layered aluminum reinforced epoxy (Glare), possesses a set of mechanical properties which was achieved by designing its layup structure to combine metal alloy and fiber-reinforced polymer phases. Beyond static and dynamic mechanical properties at the material characterization phase, however, the need exists to develop methods that could assess the evolving material state of Glare, especially in a progressive failure context. This paper presents a nondestructive approach to monitor the damage at the material scale and combine such information with characterization and postmortem evaluation methods, as well as data postprocessing to provide an assessment of the failure process during monotonic loading conditions. The approach is based on multiscale sensing using the acoustic emission (AE) method, which was augmented in this paper in two ways. First, by applying it to all material components separately in addition to actual Glare specimens. Second, by performing testing and evaluation at both the laboratory scale as well as at the scale defined inside the scanning electron microscopy. Such elaborate testing and nondestructive evaluation results provided the basis for the application of digital signal processing and machine learning methods which were capable to identify data trends that are shown to be correlated with the evolution of failure modes in Glare.
    publisherAmerican Society of Mechanical Engineers (ASME)
    titleProgressive Failure Monitoring of Fiber-Reinforced Metal Laminate Composites Using a Nondestructive Approach
    typeJournal Paper
    journal volume2
    journal issue2
    journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
    identifier doi10.1115/1.4043713
    journal fristpage21006
    journal lastpage021006-11
    treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2019:;volume ( 002 ):;issue: 002
    contenttypeFulltext
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