Optimization of grinding parameters in robotic-assisted preparation of cracked teeth based on fracture mechanics: FEA and experiment

IF 4.9 2区 医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jianpeng Sun , Jingang Jiang , Biao Ma , Yongde Zhang , Jie Pan , Di Qiao
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引用次数: 0

Abstract

Background and Objectives

If left untreated, cracked teeth can lead to tooth loss, of which the incidence is 70%. Dental preparation is an effective treatment, but it is difficult to meet the clinical requirements when traditionally prepared by dentists. Grinding-based tooth preparation robot (TPR) shows promise for clinical applications to assist dentists. However, current TPR has problems with chipping and crack extension when preparing real teeth.

Methods

We propose a grinding parameter optimization strategy to solve this problem, specifically including preparation depth and direction. Among them, surface morphology observation technology and thermal-mechanical coupling simulation technology are used. Through theoretical modeling, computer simulation techniques and surface morphology experimental studies, different motion parameters are compared and analyzed to derive the optimal preparation parameters.

Results

One of our contributions is to control the preparation depth based on the different material removal methods, and the brittle removal methods and grinding heat during the preparation process were reduced. Another contribution is to derive the stress intensity factor (SIF) at the crack tip for different preparation directions based on multi-grit and thermal-mechanical coupling finite element model for different preparation stages. The preparation direction was directed and crack extension was minimized. Finally, the experimental system of the TPR was constructed. Based on the proposed morphology and preparation direction optimization method, the material removal method during the preparation process can be controlled in plastic removal. Crack extension was also reduced based on different stages of optimized preparation directions. Based on the guided strategy, the TPR can provide safe assisted dentists.

Conclusions

In this work, the preparation parameters of the cracked preparation robot were optimized to enable it to perform the preparation of hard and brittle cracked teeth. The surface morphology met the clinical requirements. Intraoral preparation will be considered in the future to advance the robot toward clinical dental applications.
基于断裂力学的裂纹牙机器人辅助制备中的磨削参数优化:有限元分析与实验
背景和目的:如果不及时治疗,牙齿裂缝会导致牙齿脱落,其发生率高达 70%。牙体预备是一种有效的治疗方法,但传统上由牙医进行牙体预备很难满足临床要求。基于研磨的备牙机器人(TPR)有望在临床应用中为牙医提供帮助。然而,目前的 TPR 在制备真牙时存在崩裂和裂纹扩展的问题:我们提出了一种磨削参数优化策略来解决这一问题,具体包括预备深度和方向。其中,采用了表面形态观察技术和热机械耦合模拟技术。通过理论建模、计算机仿真技术和表面形貌实验研究,对不同的运动参数进行比较和分析,得出最佳制备参数:我们的贡献之一是根据不同的材料去除方法控制制备深度,减少了脆性去除方法和制备过程中的磨削热。另一个贡献是基于多磨粒和热机械耦合有限元模型,得出了不同制备阶段不同制备方向裂纹尖端的应力强度因子(SIF)。制备方向是定向的,裂纹扩展最小。最后,构建了 TPR 实验系统。基于所提出的形态和制备方向优化方法,制备过程中的材料去除方法可控制在塑性去除中。根据不同阶段的优化制备方向,裂纹扩展也有所减少。根据指导策略,TPR 可以为牙医提供安全的辅助:在这项工作中,对裂纹预备机器人的预备参数进行了优化,使其能够进行硬脆裂纹牙的预备。表面形态符合临床要求。未来将考虑口内制备,以推进机器人在牙科临床上的应用。
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来源期刊
Computer methods and programs in biomedicine
Computer methods and programs in biomedicine 工程技术-工程:生物医学
CiteScore
12.30
自引率
6.60%
发文量
601
审稿时长
135 days
期刊介绍: To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.
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