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    Prediction of Comprehensive Thermal Error of a Preloaded Ball Screw on a Gantry Milling Machine

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 002::page 21004
    Author:
    Liu, Kuo
    ,
    Liu, Haibo
    ,
    Li, Te
    ,
    Wang, Yongqing
    ,
    Sun, Mingjia
    ,
    Wu, Yuliang
    DOI: 10.1115/1.4037236
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The conception of the comprehensive thermal error of servo axes is given. Thermal characteristics of a preloaded ball screw on a gantry milling machine is investigated, and the error and temperature data are obtained. The comprehensive thermal error is divided into two parts: thermal expansion error ((TEE) in the stroke range) and thermal drift error ((TDE) of origin). The thermal mechanism and thermal error variation of preloaded ball screw are expounded. Based on the generation, conduction, and convection theory of heat, the thermal field models of screw caused by friction of screw-nut pairs and bearing blocks are derived. The prediction for TEE is presented based on thermal fields of multiheat sources. Besides, the factors influencing TDE are analyzed, and the model of TDE is established based on the least square method. The predicted thermal field of the screw is analyzed. The simulation and experimental results indicate that high accuracy stability can be obtained using the proposed model. Moreover, high accuracy stability can still be achieved even if the moving state of servo axis changes randomly, the screw is preloaded, and the thermal deformation process is complex. Strong robustness of the model is verified.
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      Prediction of Comprehensive Thermal Error of a Preloaded Ball Screw on a Gantry Milling Machine

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4252020
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    • Journal of Manufacturing Science and Engineering

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    contributor authorLiu, Kuo
    contributor authorLiu, Haibo
    contributor authorLi, Te
    contributor authorWang, Yongqing
    contributor authorSun, Mingjia
    contributor authorWu, Yuliang
    date accessioned2019-02-28T11:02:33Z
    date available2019-02-28T11:02:33Z
    date copyright12/18/2017 12:00:00 AM
    date issued2018
    identifier issn1087-1357
    identifier othermanu_140_02_021004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252020
    description abstractThe conception of the comprehensive thermal error of servo axes is given. Thermal characteristics of a preloaded ball screw on a gantry milling machine is investigated, and the error and temperature data are obtained. The comprehensive thermal error is divided into two parts: thermal expansion error ((TEE) in the stroke range) and thermal drift error ((TDE) of origin). The thermal mechanism and thermal error variation of preloaded ball screw are expounded. Based on the generation, conduction, and convection theory of heat, the thermal field models of screw caused by friction of screw-nut pairs and bearing blocks are derived. The prediction for TEE is presented based on thermal fields of multiheat sources. Besides, the factors influencing TDE are analyzed, and the model of TDE is established based on the least square method. The predicted thermal field of the screw is analyzed. The simulation and experimental results indicate that high accuracy stability can be obtained using the proposed model. Moreover, high accuracy stability can still be achieved even if the moving state of servo axis changes randomly, the screw is preloaded, and the thermal deformation process is complex. Strong robustness of the model is verified.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePrediction of Comprehensive Thermal Error of a Preloaded Ball Screw on a Gantry Milling Machine
    typeJournal Paper
    journal volume140
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4037236
    journal fristpage21004
    journal lastpage021004-9
    treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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