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Author:

Hao, Xiaolong (Hao, Xiaolong.) | Cheng, Qiang (Cheng, Qiang.) (Scholars:程强) | Xu, Jingjing (Xu, Jingjing.) | Sun, Ting (Sun, Ting.) | Wang, Yi (Wang, Yi.) | Liu, Zhifeng (Liu, Zhifeng.)

Indexed by:

EI Scopus SCIE

Abstract:

Background and Objectives: The existing medical clinical treatment institutions mostly use rigid structures to come into contact with flexible skin. The rigid flexible coupled contact biomechanical model for the skin is the first step that urgently needs to be considered in the process of medical clinical operations. However, there has been currently no effective biomechanical contact model available. Methods: Based on the principle of elastic interface deformation, the basic biomechanical characteristics of oral and maxillofacial skin and soft tissues were analyzed to address the unknown mechanism of rigid body and maxillofacial contact in oral imaging operations. A nonlinear characterization method for the mechanical properties of oral and maxillofacial skin soft tissues was proposed by deriving a general contact force model that takes into account energy dissipation. However, the problem of the inability to obtain analytical solutions for the parameters of the dynamic model exists. It is necessary to perform particle swarm parameter identification on different nonlinear contact models and verify the accuracy of the algorithm through numerical simulation. A maxillofacial contact experiment was conducted to verify the operation process of an oral imaging robot. Results: After experimental analysis, it was found that the comprehensive average error between the model and the actual contact force was 0.13325 N. The absolute error of the maximum deformation displacement was below 0.18 N, which verified the effectiveness and safety of the contact model in the contact process of the oral imaging robot system. Conclusions: The results indicate that the output force of the model has been in good agreement with the actual contact force.

Keyword:

Oral imaging robot identification Particle swarm optimization parameter Biomechanics Oral and maxillofacial skin

Author Community:

  • [ 1 ] [Hao, Xiaolong]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Cheng, Qiang]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Xu, Jingjing]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Sun, Ting]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Hao, Xiaolong]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Cheng, Qiang]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Xu, Jingjing]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 8 ] [Sun, Ting]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 9 ] [Wang, Yi]Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Stomatol, Beijing 100141, Peoples R China
  • [ 10 ] [Liu, Zhifeng]Jilin Univ, Key Lab CNC Equipment Reliabil, Minist Educ, Jilin 130015, Peoples R China

Reprint Author's Address:

  • [Cheng, Qiang]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China;;[Wang, Yi]Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Stomatol, Beijing 100141, Peoples R China;;

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Source :

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS

ISSN: 1751-6161

Year: 2023

Volume: 150

3 . 9 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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