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    Vision-Based Weld Pool Width Control

    Source: Journal of Manufacturing Science and Engineering:;1994:;volume( 116 ):;issue: 001::page 86
    Author:
    K. A. Pietrzak
    ,
    S. M. Packer
    DOI: 10.1115/1.2901813
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Methods for controlling weld penetration for arc welding processes from top-side measurements have long been sought. One indirect variable that has been reported to correlate with penetration is weld pool geometry. A system which uses weld pool geometry sensing for controlling weld penetration is described in this paper. The system uses a miniature camera mounted in a modified coaxial viewing torch to view the weld pool. A robust machine vision algorithm has been developed for this system to measure weld pool width. The algorithm was designed to locate the edges of the weld pool despite the presence of other edges caused by the heat affected zone, scratches, marks, and weld pool impurities. The algorithm uses a matched edge filter and a majority voting scheme to measure the width of the pool. A control system was developed to regulate weld pool width in the presence of disturbances caused by such items as incorrect parameter settings, small variations in material composition, and material thickness changes. Experiments were conducted to test the control system by simulating some of these disturbances. The experiments demonstrated that for certain classes of materials, this technique works quite well. However, for other materials such as stainless steel 304, surface impurities in the weld pool visually obscure the weld pool and its edges to such a degree that the system fails to lock onto the edges of the pool.
    keyword(s): Heat , Machinery , Locks (Waterways) , Measurement , Control systems , Arc welding , Algorithms , Filters , Geometry , Stainless steel AND Thickness ,
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      Vision-Based Weld Pool Width Control

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    https://yetl.yabesh.ir/yetl1/handle/yetl/113965
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    contributor authorK. A. Pietrzak
    contributor authorS. M. Packer
    date accessioned2017-05-08T23:44:52Z
    date available2017-05-08T23:44:52Z
    date copyrightFebruary, 1994
    date issued1994
    identifier issn1087-1357
    identifier otherJMSEFK-27769#86_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/113965
    description abstractMethods for controlling weld penetration for arc welding processes from top-side measurements have long been sought. One indirect variable that has been reported to correlate with penetration is weld pool geometry. A system which uses weld pool geometry sensing for controlling weld penetration is described in this paper. The system uses a miniature camera mounted in a modified coaxial viewing torch to view the weld pool. A robust machine vision algorithm has been developed for this system to measure weld pool width. The algorithm was designed to locate the edges of the weld pool despite the presence of other edges caused by the heat affected zone, scratches, marks, and weld pool impurities. The algorithm uses a matched edge filter and a majority voting scheme to measure the width of the pool. A control system was developed to regulate weld pool width in the presence of disturbances caused by such items as incorrect parameter settings, small variations in material composition, and material thickness changes. Experiments were conducted to test the control system by simulating some of these disturbances. The experiments demonstrated that for certain classes of materials, this technique works quite well. However, for other materials such as stainless steel 304, surface impurities in the weld pool visually obscure the weld pool and its edges to such a degree that the system fails to lock onto the edges of the pool.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleVision-Based Weld Pool Width Control
    typeJournal Paper
    journal volume116
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.2901813
    journal fristpage86
    journal lastpage92
    identifier eissn1528-8935
    keywordsHeat
    keywordsMachinery
    keywordsLocks (Waterways)
    keywordsMeasurement
    keywordsControl systems
    keywordsArc welding
    keywordsAlgorithms
    keywordsFilters
    keywordsGeometry
    keywordsStainless steel AND Thickness
    treeJournal of Manufacturing Science and Engineering:;1994:;volume( 116 ):;issue: 001
    contenttypeFulltext
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