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Relationships between tissue properties and operational parameters of a dental handpiece during simulated cavity preparation

机译:模拟牙腔准备过程中牙科手机的组织特性与操作参数之间的关系

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摘要

A preliminary study was conducted on the development of an intelligent dental handpiece with functionality to detect subtle changes in mechanical properties of tooth tissue during milling. Such equipment would be able to adopt changes in cutting parameters and make real-time measurements to avoid tooth tissue damage caused by overexertion and overextension of the cutting tool. A modified dental handpiece, instrumented with strain gauges, microphone, displacement sensor, and air pressure sensor, was mounted to a linear movement table and used to mill three to four cavities in >50 bovine teeth. Extracted sound frequency and density were analyzed along with force, air pressure, and displacement for correlations and trends. Experimental results showed a high correlation (coefficient close to 0.7) between the feed force, the rotational frequency, and the averaged gray scale. These results could form the basis of a feedback control system to improve the safety of dental cutting procedures. This article is written in memory of Dr Hongyan Sun, who passed away in 2011 at a young age of 37.
机译:对智能牙科手机的开发进行了初步研究,该智能手机具有检测铣削过程中牙齿组织机械特性的细微变化的功能。这样的设备将能够采用切削参数的变化并进行实时测量,以避免由于切削工具的过度用力和过度伸展所引起的牙齿组织损伤。一种改进的牙科手机,装有应变片,麦克风,位移传感器和气压传感器,安装在线性移动台上,用于在> 50头牛牙中铣削3至4个空腔。分析提取的声音频率和密度以及力,气压和位移,以建立相关性和趋势。实验结果表明,进给力,旋转频率和平均灰度之间具有很高的相关性(系数接近0.7)。这些结果可以构成反馈控制系统的基础,以改善牙科切割程序的安全性。本文是为纪念孙鸿雁博士而写的,孙鸿雁博士于2011年去世,享年37岁。

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