基于双目测距的牙齿热压模型激光切割教学实验平台开发
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摘要
为了加深学生对现代切削技术的认识与理解,体会现代切削装备的发展趋势,开发了基于双目测距原理的多自由度牙齿热压模型激光切割教学实验平台。该实验平台将机械设计、机械电子、计算机图像处理等学科的理论知识有机地结合在一起,实现了对牙齿热压模型表面牙龈曲线空间坐标的提取,并控制激光切割手臂按切割曲线进行切割,使得切割过程更加直观,加深了学生对"切削原理与刀具"及"现代制造技术"等课程的认识与理解,提高了对机械加工理论的学习兴趣,达到了良好的实验教学效果。
In order to deepen students' understanding of the modern cutting technology, and to understand the development trend of the modern cutting equipment, an experimental platform for the laser cutting of multi-degree-of-freedom dental hot-pressing model based on the binocular ranging principle is developed. This experimental platform combines the theoretical knowledge of mechanical design, mechanical electronics, computer image processing and other disciplines to extract the spatial coordinates of the gingival curve on the surface of the tooth hot pressing model. The laser cutting arm is controlled for cutting according to the cutting curve, which makes the cutting process more intuitive, deepens the students' understanding the "Cutting principle and cutting tool" and "Modern manufacturing technology" courses, enhances their interest in the study of mechanical processing theory, and achieves good experimental teaching results.
In order to deepen students' understanding of the modern cutting technology, and to understand the development trend of the modern cutting equipment, an experimental platform for the laser cutting of multi-degree-of-freedom dental hot-pressing model based on the binocular ranging principle is developed. This experimental platform combines the theoretical knowledge of mechanical design, mechanical electronics, computer image processing and other disciplines to extract the spatial coordinates of the gingival curve on the surface of the tooth hot pressing model. The laser cutting arm is controlled for cutting according to the cutting curve, which makes the cutting process more intuitive, deepens the students' understanding the "Cutting principle and cutting tool" and "Modern manufacturing technology" courses, enhances their interest in the study of mechanical processing theory, and achieves good experimental teaching results.
引文
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[2] 许承慧,刘桂华,梁峰.非特征点双目测距技术研究[J].微型机与应用,2013,32(22):59-61,65.
[3] 王加帅,李兰芳,黄发忠,等.双目测距系统高精度装配方法研究[J].电子技术,2018,47(3):20-22.
[4] 张尧,赵洋,刘博宇,等.一种基于双目测距系统的亚像素精度自适应图像匹配算法[J].长春理工大学学报(自然科学版),2016,39(2):14-18.
[5] 艾德里安·克勒,加里·布拉德斯基.Learning OpenCV3[M].刘昌祥,吴雨培,王成龙,等译.南京:东南大学出版社,2017:704-732.
[6] 盛明伟,周浩,黄海,等.一种水下双目视觉测距方法研究[J].华中科技大学学报(自然科学版),2018,(8):93-98.
[7] 沈彤,刘文波,王京.基于双目立体视觉的目标测距系统[J].电子测量技术,2015,38(4):52-54.
[8] 王浩,许志闻,谢坤,等.基于OpenCV的双目测距系统[J].吉林大学学报(信息科学版),2014,32(2):188-194.
[9] 孙长库,周迈,王鹏.视觉图像测量教学实验装置的设计[J].实验技术与管理,2008,25(11):53-56,70.
[10] 杨明,王海晖,陈君,等.双目标定系统精度提高的方法[J].武汉工程大学学报,2012,34(1):69-73.
[11] 白明,庄严,王伟.双目立体匹配算法的研究与进展[J].控制与决策,2008(7):721-729.
[12] 曾文献,郭兆坤.立体匹配算法研究综述[J].河北省科学院学报,2018,35(2):43-48.
[13] 叶沅鑫,慎利.面向遥感影像匹配的特征点检测算子性能评估[J].西南交通大学学报,2016,51(6):1170-1176.