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    Design and Implementation of Nonlinear Force Controllers for Friction Stir Welding Processes

    Source: Journal of Manufacturing Science and Engineering:;2008:;volume( 130 ):;issue: 006::page 61011
    Author:
    Xin Zhao
    ,
    Prabhanjana Kalya
    ,
    Robert G. Landers
    ,
    K. Krishnamurthy
    DOI: 10.1115/1.3006326
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In friction stir welding (FSW) processes, force control can be used to achieve good welding quality. This paper presents the systematic design and implementation of FSW force controllers. The axial and path forces are modeled as nonlinear functions of the FSW process parameters (i.e., plunge depth, tool traverse rate, and tool rotation speed). Equipment models, which include communication delays, are constructed to relate the commanded and measured actuator signals. Based on the dynamic process and equipment models, nonlinear feedback controllers for the axial and path forces are designed using the polynomial pole placement technique. The controllers are implemented in a Smith predictor-corrector structure to compensate for the inherent equipment communication delays, and the controller parameters are tuned to achieve the best closed loop response possible given equipment limitations. In the axial force controller implementation, a constant axial force is maintained, even when gaps are encountered during the welding process. In the path force controller implementation, a constant path force is maintained, even in the presence of gaps, and wormhole generation during the welding process is eliminated by regulating the path force.
    keyword(s): Force , Control equipment , Welding , Design AND Poles (Building) ,
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      Design and Implementation of Nonlinear Force Controllers for Friction Stir Welding Processes

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/138650
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    contributor authorXin Zhao
    contributor authorPrabhanjana Kalya
    contributor authorRobert G. Landers
    contributor authorK. Krishnamurthy
    date accessioned2017-05-09T00:29:18Z
    date available2017-05-09T00:29:18Z
    date copyrightDecember, 2008
    date issued2008
    identifier issn1087-1357
    identifier otherJMSEFK-28044#061011_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/138650
    description abstractIn friction stir welding (FSW) processes, force control can be used to achieve good welding quality. This paper presents the systematic design and implementation of FSW force controllers. The axial and path forces are modeled as nonlinear functions of the FSW process parameters (i.e., plunge depth, tool traverse rate, and tool rotation speed). Equipment models, which include communication delays, are constructed to relate the commanded and measured actuator signals. Based on the dynamic process and equipment models, nonlinear feedback controllers for the axial and path forces are designed using the polynomial pole placement technique. The controllers are implemented in a Smith predictor-corrector structure to compensate for the inherent equipment communication delays, and the controller parameters are tuned to achieve the best closed loop response possible given equipment limitations. In the axial force controller implementation, a constant axial force is maintained, even when gaps are encountered during the welding process. In the path force controller implementation, a constant path force is maintained, even in the presence of gaps, and wormhole generation during the welding process is eliminated by regulating the path force.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDesign and Implementation of Nonlinear Force Controllers for Friction Stir Welding Processes
    typeJournal Paper
    journal volume130
    journal issue6
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3006326
    journal fristpage61011
    identifier eissn1528-8935
    keywordsForce
    keywordsControl equipment
    keywordsWelding
    keywordsDesign AND Poles (Building)
    treeJournal of Manufacturing Science and Engineering:;2008:;volume( 130 ):;issue: 006
    contenttypeFulltext
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