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    Performance Prediction for Ultrasonic Spot Welds of Short Carbon Fiber-Reinforced Composites Under Shear Loading

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 011::page 111001
    Author:
    Wang
    ,
    Kaifeng;Shriver
    ,
    Daniel;Banu
    ,
    Mihaela;Jack Hu
    ,
    S.;Xiao
    ,
    Guoxian;Arinez
    ,
    Jorge;Fan
    ,
    Hua-Tzu
    DOI: 10.1115/1.4037320
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Ultrasonic welding is a well-known technique for joining thermoplastics and has recently been introduced to joining carbon fiber-reinforced composites (CFRC). However, suitable models for predicting joint performance have not yet been established. At present, most failure models for bonded composites are built based on uniform adhesive joints, which assume constant joint properties. Nevertheless, the joint properties of ultrasonic spot welds for CFRC are variable, which depend on the input welding parameters. In this paper, the effect of welding energy, which is the most important welding parameter, on the joint properties is investigated. Then, a surface-based cohesive performance model based on mode-II (in-plane) shear loading is developed to predict the joint performance, wherein the critical fracture parameters in the model are described via the functions of welding energy. After comparing the simulated results with experiments, the model is proven feasible in predicting the joint properties of the ultrasonic spot welds under shear loading condition, and hence, a mix-mode cohesive-zone model is practical to predict the joint performance under any loading conditions with the predicted fracture parameters.
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      Performance Prediction for Ultrasonic Spot Welds of Short Carbon Fiber-Reinforced Composites Under Shear Loading

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4242723
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    contributor authorWang
    contributor authorKaifeng;Shriver
    contributor authorDaniel;Banu
    contributor authorMihaela;Jack Hu
    contributor authorS.;Xiao
    contributor authorGuoxian;Arinez
    contributor authorJorge;Fan
    contributor authorHua-Tzu
    date accessioned2017-12-30T11:43:08Z
    date available2017-12-30T11:43:08Z
    date copyright9/13/2017 12:00:00 AM
    date issued2017
    identifier issn1087-1357
    identifier othermanu_139_11_111001.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242723
    description abstractUltrasonic welding is a well-known technique for joining thermoplastics and has recently been introduced to joining carbon fiber-reinforced composites (CFRC). However, suitable models for predicting joint performance have not yet been established. At present, most failure models for bonded composites are built based on uniform adhesive joints, which assume constant joint properties. Nevertheless, the joint properties of ultrasonic spot welds for CFRC are variable, which depend on the input welding parameters. In this paper, the effect of welding energy, which is the most important welding parameter, on the joint properties is investigated. Then, a surface-based cohesive performance model based on mode-II (in-plane) shear loading is developed to predict the joint performance, wherein the critical fracture parameters in the model are described via the functions of welding energy. After comparing the simulated results with experiments, the model is proven feasible in predicting the joint properties of the ultrasonic spot welds under shear loading condition, and hence, a mix-mode cohesive-zone model is practical to predict the joint performance under any loading conditions with the predicted fracture parameters.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePerformance Prediction for Ultrasonic Spot Welds of Short Carbon Fiber-Reinforced Composites Under Shear Loading
    typeJournal Paper
    journal volume139
    journal issue11
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4037320
    journal fristpage111001
    journal lastpage111001-10
    treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 011
    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
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