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    Optimizing Ultrasonic Additive Manufactured Al 3003 Properties With Statistical Modeling

    Source: Journal of Engineering Materials and Technology:;2012:;volume( 134 ):;issue: 001::page 11004
    Author:
    C. D. Hopkins
    ,
    P. J. Wolcott
    ,
    M. J. Dapino
    ,
    A. G. Truog
    ,
    S. S. Babu
    ,
    S. A. Fernandez
    DOI: 10.1115/1.4005269
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Ultrasonic additive manufacturing (UAM) has proven useful in the solid-state, low tempe’rature fabrication of layered solid metal structures. It is necessary to optimize the various process variables that affect the quality of bonding between layers through investigation of the mechanical strength of various UAM builds. We investigate the effect of the process parameters tack force, weld force, oscillation amplitude, and weld rate on the ultimate shear strength (USS) and ultimate transverse tensile strength (UTTS) of 3003-H18 aluminum UAM built samples. A multifactorial experiment was designed and an analysis of variance was performed to obtain an optimal set of process parameters for maximizing mechanical strength for the tested factors. The statistical analyses indicate that a relatively high mechanical strength can be achieved with a process window bounded by a 350 N tack force, 1000 N weld force, 26 μm oscillation amplitude, and about 42 mm/s weld rate. Optical analyses of bond characterization did not show a consistent correlation linking linear weld density and bonded area of fractured surfaces to mechanical strength. Therefore, scanning electronmicroscopy (SEM) was conducted on fractured samples showing a good correlation between mechanical strength and area fraction that shows ductile failure.
    keyword(s): Force , Bonding , Shear (Mechanics) , Mechanical strength , Manufacturing , Failure , Oscillations , Statistical analysis AND Aluminum ,
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      Optimizing Ultrasonic Additive Manufactured Al 3003 Properties With Statistical Modeling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/149023
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    • Journal of Engineering Materials and Technology

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    contributor authorC. D. Hopkins
    contributor authorP. J. Wolcott
    contributor authorM. J. Dapino
    contributor authorA. G. Truog
    contributor authorS. S. Babu
    contributor authorS. A. Fernandez
    date accessioned2017-05-09T00:50:57Z
    date available2017-05-09T00:50:57Z
    date copyrightJanuary, 2012
    date issued2012
    identifier issn0094-4289
    identifier otherJEMTA8-27149#011004_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/149023
    description abstractUltrasonic additive manufacturing (UAM) has proven useful in the solid-state, low tempe’rature fabrication of layered solid metal structures. It is necessary to optimize the various process variables that affect the quality of bonding between layers through investigation of the mechanical strength of various UAM builds. We investigate the effect of the process parameters tack force, weld force, oscillation amplitude, and weld rate on the ultimate shear strength (USS) and ultimate transverse tensile strength (UTTS) of 3003-H18 aluminum UAM built samples. A multifactorial experiment was designed and an analysis of variance was performed to obtain an optimal set of process parameters for maximizing mechanical strength for the tested factors. The statistical analyses indicate that a relatively high mechanical strength can be achieved with a process window bounded by a 350 N tack force, 1000 N weld force, 26 μm oscillation amplitude, and about 42 mm/s weld rate. Optical analyses of bond characterization did not show a consistent correlation linking linear weld density and bonded area of fractured surfaces to mechanical strength. Therefore, scanning electronmicroscopy (SEM) was conducted on fractured samples showing a good correlation between mechanical strength and area fraction that shows ductile failure.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimizing Ultrasonic Additive Manufactured Al 3003 Properties With Statistical Modeling
    typeJournal Paper
    journal volume134
    journal issue1
    journal titleJournal of Engineering Materials and Technology
    identifier doi10.1115/1.4005269
    journal fristpage11004
    identifier eissn1528-8889
    keywordsForce
    keywordsBonding
    keywordsShear (Mechanics)
    keywordsMechanical strength
    keywordsManufacturing
    keywordsFailure
    keywordsOscillations
    keywordsStatistical analysis AND Aluminum
    treeJournal of Engineering Materials and Technology:;2012:;volume( 134 ):;issue: 001
    contenttypeFulltext
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