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    Toward Automation of Friction Stir Welding Through Temperature Measurement and Closed-Loop Control

    Source: Journal of Manufacturing Science and Engineering:;2011:;volume( 133 ):;issue: 005::page 51008
    Author:
    Axel Fehrenbacher
    ,
    Neil A. Duffie
    ,
    Nicola J. Ferrier
    ,
    Frank E. Pfefferkorn
    ,
    Michael R. Zinn
    DOI: 10.1115/1.4005034
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The objectives of this work are to determine an accurate temperature feedback strategy and to develop a closed-loop feedback control system for temperature in friction stir welding (FSW). FSW is a novel joining technology enabling welds with excellent metallurgical and mechanical properties, as well as significant energy consumption and cost savings. However, numerous parameter and condition variations are present in the FSW production environment that can adversely affect weld quality, which has made extensive automation of this process impossible to date. To enable large scale automation while maintaining weld quality, techniques to control the FSW process in the presence of unknown disturbances must be developed. One process variable that must be controlled to maintain uniform weld quality under the inherent workpiece variability (thermal constraints, material properties, geometry, etc.) is the weld zone temperature. Our hypothesis is that the weld zone temperature can be controlled, which can help in controlling the weld quality. A wireless data acquisition system was built to measure temperatures at the tool-workpiece interface. A thermocouple was placed in a through hole right at the interface of tool and workpiece so that the tip is in contact with the workpiece material. This measurement strategy reveals temperature variations within a single rotation of the tool in real time. In order to automate the system, a first order process model with transport delay was experimentally developed that captures the physics between spindle speed and measured interface temperature. The model has a time constant of 110 ms and a delay time of 85 ms. Using this temperature measurement technique, a closed-loop temperature control system with a bandwidth of 0.3 Hz was developed. Interface temperatures in the range from 555 °C to 575 °C were commanded to an integral controller, which regulated the spindle speed between 850 rpm and 1250 rpm to adjust the heat generation and achieve the desired interface temperatures in 6061-T6 aluminum. To simulate changes in thermal boundary conditions, backing plates of different thermal diffusivities were found to effectively alter the heat flow, hence, weld zone temperature. The integral controller that manipulates spindle speed is applied when welding during these intentionally introduced weld disturbances. The measured temperature stayed within ±5 °C after introducing the disturbance, compared to a 50 °C change in temperature when no control was applied.
    keyword(s): Friction , Temperature , Temperature measurement , Control equipment , Welding , Spindles (Textile machinery) , Thermocouples , Heat , Data acquisition systems , Aluminum , Force AND Travel ,
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      Toward Automation of Friction Stir Welding Through Temperature Measurement and Closed-Loop Control

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    http://yetl.yabesh.ir/yetl1/handle/yetl/146846
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    • Journal of Manufacturing Science and Engineering

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    contributor authorAxel Fehrenbacher
    contributor authorNeil A. Duffie
    contributor authorNicola J. Ferrier
    contributor authorFrank E. Pfefferkorn
    contributor authorMichael R. Zinn
    date accessioned2017-05-09T00:45:24Z
    date available2017-05-09T00:45:24Z
    date copyrightOctober, 2011
    date issued2011
    identifier issn1087-1357
    identifier otherJMSEFK-28491#051008_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/146846
    description abstractThe objectives of this work are to determine an accurate temperature feedback strategy and to develop a closed-loop feedback control system for temperature in friction stir welding (FSW). FSW is a novel joining technology enabling welds with excellent metallurgical and mechanical properties, as well as significant energy consumption and cost savings. However, numerous parameter and condition variations are present in the FSW production environment that can adversely affect weld quality, which has made extensive automation of this process impossible to date. To enable large scale automation while maintaining weld quality, techniques to control the FSW process in the presence of unknown disturbances must be developed. One process variable that must be controlled to maintain uniform weld quality under the inherent workpiece variability (thermal constraints, material properties, geometry, etc.) is the weld zone temperature. Our hypothesis is that the weld zone temperature can be controlled, which can help in controlling the weld quality. A wireless data acquisition system was built to measure temperatures at the tool-workpiece interface. A thermocouple was placed in a through hole right at the interface of tool and workpiece so that the tip is in contact with the workpiece material. This measurement strategy reveals temperature variations within a single rotation of the tool in real time. In order to automate the system, a first order process model with transport delay was experimentally developed that captures the physics between spindle speed and measured interface temperature. The model has a time constant of 110 ms and a delay time of 85 ms. Using this temperature measurement technique, a closed-loop temperature control system with a bandwidth of 0.3 Hz was developed. Interface temperatures in the range from 555 °C to 575 °C were commanded to an integral controller, which regulated the spindle speed between 850 rpm and 1250 rpm to adjust the heat generation and achieve the desired interface temperatures in 6061-T6 aluminum. To simulate changes in thermal boundary conditions, backing plates of different thermal diffusivities were found to effectively alter the heat flow, hence, weld zone temperature. The integral controller that manipulates spindle speed is applied when welding during these intentionally introduced weld disturbances. The measured temperature stayed within ±5 °C after introducing the disturbance, compared to a 50 °C change in temperature when no control was applied.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleToward Automation of Friction Stir Welding Through Temperature Measurement and Closed-Loop Control
    typeJournal Paper
    journal volume133
    journal issue5
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4005034
    journal fristpage51008
    identifier eissn1528-8935
    keywordsFriction
    keywordsTemperature
    keywordsTemperature measurement
    keywordsControl equipment
    keywordsWelding
    keywordsSpindles (Textile machinery)
    keywordsThermocouples
    keywordsHeat
    keywordsData acquisition systems
    keywordsAluminum
    keywordsForce AND Travel
    treeJournal of Manufacturing Science and Engineering:;2011:;volume( 133 ):;issue: 005
    contenttypeFulltext
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