Robotics & Machine Learning Daily News2024,Issue(Nov.28) :11-12.

Harbin University of Science and Technology Reports Findings in Robotics (Optimi zation of grinding parameters in robotic-assisted preparation of cracked teeth b ased on fracture mechanics: FEA and experiment)

哈尔滨科技大学2005年报告调查结果机器人学(机器人辅助磨削参数的优化基于断裂力学的裂纹齿制备有限元分析和实验

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :11-12.

Harbin University of Science and Technology Reports Findings in Robotics (Optimi zation of grinding parameters in robotic-assisted preparation of cracked teeth b ased on fracture mechanics: FEA and experiment)

哈尔滨科技大学2005年报告调查结果机器人学(机器人辅助磨削参数的优化基于断裂力学的裂纹齿制备有限元分析和实验

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的结尾。根据新闻报道原产于中华人民共和国黑龙江,由NewsRx记者报道,研究称,“如果”缺牙、裂牙可导致牙齿脱落,发生率为70%。牙科准备这是一种有效的治疗方法,但传统的制备方法难以满足临床需要牙医。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Heilongjiang, People ’s Republic of China, by NewsRx correspondents, research stated, “Ifleft untrea ted, cracked teeth can lead to tooth loss, of which the incidence is 70% . Dental preparation isan effective treatment, but it is difficult to meet the clinical requirements when traditionally prepared bydentists.”

Key words

Heilongjiang/People’s Republic of China/Asia/Dentistry/Emerging Technologies/Health and Medicine/Machine Learning/Robot/Robotics/Robots/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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