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    Chatter Avoidance in Parallel Turning With Unequal Pitch Angle Using Observer-Based Cutting Force Estimation

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 004::page 44501
    Author:
    Sakata, Shinya
    ,
    Kadota, Takashi
    ,
    Yamada, Yuki
    ,
    Nakanishi, Kenichi
    ,
    Yoshioka, Hayato
    ,
    Suzuki, Norikazu
    ,
    Kakinuma, Yasuhiro
    DOI: 10.1115/1.4039111
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Parallel turning is garnering attention as one of the most important technologies for multitasking machine tools. This is because a potential exists to enhance the stability limits compared to the turning operation using a single tool when cutting conditions are properly selected. Although stability prediction models for parallel turning have been developed in recent years, in-process monitoring and in-process chatter techniques are almost not discussed. In this study, to suppress chatter vibration, an unequal pitch turning method was proposed. In this method, the upper tool was controlled based on the optimum pitch angle calculated from spindle speed and chatter frequency. Chatter frequency was identified from estimated cutting force by a disturbance observer (DOB). From the result of the parallel turning test, it is clear that chatter vibration can be avoided by controlling the upper tool based on optimum pitch angle. Meanwhile, the pitch angle difference that can suppress chatter had a certain range. Subsequently, the robustness of the optimum pitch angle difference is experimentally evaluated by both the continuous moving test and the stepwise moving test of the pitch angle.
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      Chatter Avoidance in Parallel Turning With Unequal Pitch Angle Using Observer-Based Cutting Force Estimation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4252072
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    contributor authorSakata, Shinya
    contributor authorKadota, Takashi
    contributor authorYamada, Yuki
    contributor authorNakanishi, Kenichi
    contributor authorYoshioka, Hayato
    contributor authorSuzuki, Norikazu
    contributor authorKakinuma, Yasuhiro
    date accessioned2019-02-28T11:02:49Z
    date available2019-02-28T11:02:49Z
    date copyright2/14/2018 12:00:00 AM
    date issued2018
    identifier issn1087-1357
    identifier othermanu_140_04_044501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252072
    description abstractParallel turning is garnering attention as one of the most important technologies for multitasking machine tools. This is because a potential exists to enhance the stability limits compared to the turning operation using a single tool when cutting conditions are properly selected. Although stability prediction models for parallel turning have been developed in recent years, in-process monitoring and in-process chatter techniques are almost not discussed. In this study, to suppress chatter vibration, an unequal pitch turning method was proposed. In this method, the upper tool was controlled based on the optimum pitch angle calculated from spindle speed and chatter frequency. Chatter frequency was identified from estimated cutting force by a disturbance observer (DOB). From the result of the parallel turning test, it is clear that chatter vibration can be avoided by controlling the upper tool based on optimum pitch angle. Meanwhile, the pitch angle difference that can suppress chatter had a certain range. Subsequently, the robustness of the optimum pitch angle difference is experimentally evaluated by both the continuous moving test and the stepwise moving test of the pitch angle.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleChatter Avoidance in Parallel Turning With Unequal Pitch Angle Using Observer-Based Cutting Force Estimation
    typeJournal Paper
    journal volume140
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4039111
    journal fristpage44501
    journal lastpage044501-7
    treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 004
    contenttypeFulltext
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