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    In-Situ Wear Monitoring of Slider and Disk Using Acoustic Emission

    Source: Journal of Tribology:;2001:;volume( 123 ):;issue: 001::page 175
    Author:
    Kaoru Matsuoka
    ,
    Koji Taniguchi
    ,
    Masaru Nakakita
    DOI: 10.1115/1.1327586
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The methodology has been developed for both the evaluation and analysis of slider/disk interface phenomena. We have been studying the direct relationships between the acoustic emission (AE) signal and wear of materials. The power in the AE signal is directly related to the power required for material removal in the wear process. This technique has been successfully applied to monitoring the wear of the tri-pad contact slider and the disk. The AE transducers were directly mounted onto both the arm with the slider and the disk in order to measure the slider/disk contact behavior. The AE transducer output from the disk was transmitted by the slip ring and the brush. The predicted wear of the slider and the disk based on the AE signals were computed from the relationship mentioned above. The measured wear of the slider and the disk were obtained by atomic force microscopy (AFM) and an optical surface analyzer (OSA) respectively. According to the experimental results, the predicted wear of both the slider and the disk using AE signals agreed with the wear which was measured. Therefore, wear can be estimated and monitored indirectly in-situ using the AE signals without direct measurements of the wear volume.
    keyword(s): Wear , Acoustic emissions , Disks AND Signals ,
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      In-Situ Wear Monitoring of Slider and Disk Using Acoustic Emission

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/125985
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    • Journal of Tribology

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    contributor authorKaoru Matsuoka
    contributor authorKoji Taniguchi
    contributor authorMasaru Nakakita
    date accessioned2017-05-09T00:06:11Z
    date available2017-05-09T00:06:11Z
    date copyrightJanuary, 2001
    date issued2001
    identifier issn0742-4787
    identifier otherJOTRE9-28694#175_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/125985
    description abstractThe methodology has been developed for both the evaluation and analysis of slider/disk interface phenomena. We have been studying the direct relationships between the acoustic emission (AE) signal and wear of materials. The power in the AE signal is directly related to the power required for material removal in the wear process. This technique has been successfully applied to monitoring the wear of the tri-pad contact slider and the disk. The AE transducers were directly mounted onto both the arm with the slider and the disk in order to measure the slider/disk contact behavior. The AE transducer output from the disk was transmitted by the slip ring and the brush. The predicted wear of the slider and the disk based on the AE signals were computed from the relationship mentioned above. The measured wear of the slider and the disk were obtained by atomic force microscopy (AFM) and an optical surface analyzer (OSA) respectively. According to the experimental results, the predicted wear of both the slider and the disk using AE signals agreed with the wear which was measured. Therefore, wear can be estimated and monitored indirectly in-situ using the AE signals without direct measurements of the wear volume.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIn-Situ Wear Monitoring of Slider and Disk Using Acoustic Emission
    typeJournal Paper
    journal volume123
    journal issue1
    journal titleJournal of Tribology
    identifier doi10.1115/1.1327586
    journal fristpage175
    journal lastpage180
    identifier eissn1528-8897
    keywordsWear
    keywordsAcoustic emissions
    keywordsDisks AND Signals
    treeJournal of Tribology:;2001:;volume( 123 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian