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    Dynamic Analysis and Identification of Gas Tungsten Arc Welding Process for Weld Penetration Control

    Source: Journal of Manufacturing Science and Engineering:;1996:;volume( 118 ):;issue: 001::page 123
    Author:
    Y. M. Zhang
    ,
    L. Wu
    ,
    R. Kovacevic
    DOI: 10.1115/1.2803633
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study, gas tungsten arc welding is analyzed and modeled as a 2-input (welding current and arc length) 2-output (weld depression and width) multivariable process. Experiments under a number of typical welding conditions are performed to excite and identify the process characteristics and variations. It is observed that the model parameters vary in a large range with the experimental conditions. A real-time model frame with only a few parameters to be identified on-line is proposed. Based on the obtained models, the process characteristics in terms of inertia, delay, nonminimum phase, and coupling are given. These characteristics suggest an adaptive predictive decoupling control algorithm. By designing and implementing the suggested control algorithm with the real-time model, excellent results have been achieved for both simulation and practical control. This shows that the dynamic analysis and identification provide sufficient process information for design of the control system.
    keyword(s): Gas tungsten arc welding , Dynamic analysis , Design , Welding , Control algorithms , Simulation , Structural frames , Inertia (Mechanics) , Control systems AND Delays ,
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      Dynamic Analysis and Identification of Gas Tungsten Arc Welding Process for Weld Penetration Control

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/117349
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    contributor authorY. M. Zhang
    contributor authorL. Wu
    contributor authorR. Kovacevic
    date accessioned2017-05-08T23:50:56Z
    date available2017-05-08T23:50:56Z
    date copyrightFebruary, 1996
    date issued1996
    identifier issn1087-1357
    identifier otherJMSEFK-27784#123_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/117349
    description abstractIn this study, gas tungsten arc welding is analyzed and modeled as a 2-input (welding current and arc length) 2-output (weld depression and width) multivariable process. Experiments under a number of typical welding conditions are performed to excite and identify the process characteristics and variations. It is observed that the model parameters vary in a large range with the experimental conditions. A real-time model frame with only a few parameters to be identified on-line is proposed. Based on the obtained models, the process characteristics in terms of inertia, delay, nonminimum phase, and coupling are given. These characteristics suggest an adaptive predictive decoupling control algorithm. By designing and implementing the suggested control algorithm with the real-time model, excellent results have been achieved for both simulation and practical control. This shows that the dynamic analysis and identification provide sufficient process information for design of the control system.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDynamic Analysis and Identification of Gas Tungsten Arc Welding Process for Weld Penetration Control
    typeJournal Paper
    journal volume118
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.2803633
    journal fristpage123
    journal lastpage136
    identifier eissn1528-8935
    keywordsGas tungsten arc welding
    keywordsDynamic analysis
    keywordsDesign
    keywordsWelding
    keywordsControl algorithms
    keywordsSimulation
    keywordsStructural frames
    keywordsInertia (Mechanics)
    keywordsControl systems AND Delays
    treeJournal of Manufacturing Science and Engineering:;1996:;volume( 118 ):;issue: 001
    contenttypeFulltext
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