Jianpeng Sun , Jingang Jiang , Biao Ma , Yongde Zhang , Jie Pan , Di Qiao
{"title":"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","authors":"Jianpeng Sun , Jingang Jiang , Biao Ma , Yongde Zhang , Jie Pan , Di Qiao","doi":"10.1016/j.cmpb.2024.108485","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and Objectives</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":10624,"journal":{"name":"Computer methods and programs in biomedicine","volume":"258 ","pages":"Article 108485"},"PeriodicalIF":4.9000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of grinding parameters in robotic-assisted preparation of cracked teeth based on fracture mechanics: FEA and experiment\",\"authors\":\"Jianpeng Sun , Jingang Jiang , Biao Ma , Yongde Zhang , Jie Pan , Di Qiao\",\"doi\":\"10.1016/j.cmpb.2024.108485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and Objectives</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>\",\"PeriodicalId\":10624,\"journal\":{\"name\":\"Computer methods and programs in biomedicine\",\"volume\":\"258 \",\"pages\":\"Article 108485\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer methods and programs in biomedicine\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169260724004784\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer methods and programs in biomedicine","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169260724004784","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Optimization of grinding parameters in robotic-assisted preparation of cracked teeth based on fracture mechanics: FEA and experiment
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.
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.