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    A Novel Friction Coefficient Model Parameters Identification Method for Needle–Tissue Insertion Procedure

    Source: Journal of Tribology:;2024:;volume( 147 ):;issue: 007::page 74001-1
    Author:
    Hu, Yingda
    ,
    Du, Shilun
    ,
    Li, Murong
    ,
    Xu, Tian
    ,
    Lei, Yong
    DOI: 10.1115/1.4067110
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In endoscopic liver vascular insertion surgeries, during the process of angiographic operation, the success of vascular staining depends on precise needle insertion control which heavily relies on experienced surgeons. Endoscopic vascular insertion surgical navigation system shows the potential to improve position precision; however, it relies on needle–tissue interaction model and parameter identification to provide essential information for improving needle insertion accuracy, in which the friction coefficient is an important parameter but difficult to determine. In this paper, a novel needle–tissue friction coefficient identification method was proposed with unknown tissue Young's modulus under endoscopic liver surgery scenarios. A modified friction coefficient model was proposed including the adhesion and elastic friction component to describe needle–tissue dynamic interaction process which can predict the friction coefficient more precisely. The proposed parameter estimation method based on the modified friction model can simultaneously estimate friction coefficient and Young's modulus. The proposed method was demonstrated by the friction coefficient measurement experiment. The results showed that the friction coefficient model prediction results agreed well with expected value. The proposed method can be applied to provide essential tissue-needle interactive information to improve needle insertion precision in endoscopic liver vascular insertion surgery scenarios.
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      A Novel Friction Coefficient Model Parameters Identification Method for Needle–Tissue Insertion Procedure

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4306000
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    contributor authorHu, Yingda
    contributor authorDu, Shilun
    contributor authorLi, Murong
    contributor authorXu, Tian
    contributor authorLei, Yong
    date accessioned2025-04-21T10:21:11Z
    date available2025-04-21T10:21:11Z
    date copyright11/26/2024 12:00:00 AM
    date issued2024
    identifier issn0742-4787
    identifier othertrib_147_7_074001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306000
    description abstractIn endoscopic liver vascular insertion surgeries, during the process of angiographic operation, the success of vascular staining depends on precise needle insertion control which heavily relies on experienced surgeons. Endoscopic vascular insertion surgical navigation system shows the potential to improve position precision; however, it relies on needle–tissue interaction model and parameter identification to provide essential information for improving needle insertion accuracy, in which the friction coefficient is an important parameter but difficult to determine. In this paper, a novel needle–tissue friction coefficient identification method was proposed with unknown tissue Young's modulus under endoscopic liver surgery scenarios. A modified friction coefficient model was proposed including the adhesion and elastic friction component to describe needle–tissue dynamic interaction process which can predict the friction coefficient more precisely. The proposed parameter estimation method based on the modified friction model can simultaneously estimate friction coefficient and Young's modulus. The proposed method was demonstrated by the friction coefficient measurement experiment. The results showed that the friction coefficient model prediction results agreed well with expected value. The proposed method can be applied to provide essential tissue-needle interactive information to improve needle insertion precision in endoscopic liver vascular insertion surgery scenarios.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Novel Friction Coefficient Model Parameters Identification Method for Needle–Tissue Insertion Procedure
    typeJournal Paper
    journal volume147
    journal issue7
    journal titleJournal of Tribology
    identifier doi10.1115/1.4067110
    journal fristpage74001-1
    journal lastpage74001-9
    page9
    treeJournal of Tribology:;2024:;volume( 147 ):;issue: 007
    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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