摘要
为了能够实时观测生物3D打印全过程,并对打印模型的形貌进行检测及重建,设计集成式生物3D打印机检测系统.通过开发具备视频监测功能的打印喷头,实现对打印模型的在线检测.采用色散共焦位移测量技术,通过对打印模型X、Y轴的位置信息及Z轴的高度信息进行扫描得到测量数据,并结合MountainsMap实现打印模型的形貌重建.使用LabVIEW完成上位机操作系统的设计,建立G-code与打印模型的映射关系,实现打印轨迹的可视化,确保在程序运行到当前代码段时打印模型的准确性.通过实验验证生物3D打印机的在线检测功能,对网格状及凸台模型的表面进行形貌检测,结果表明检测系统能够实现对打印模型的形貌检测.打印模型表面形貌特征的可视化数据为构建精准打印模型提供数据支持,计算机视觉技术为高精度生物3D打印提供有效的检测手段.
An integrated biological 3D printer inspection system was designed in order to observe the printing process of 3D biological printer in real time as well as detect and reconstruct the surface topography of printing model.The online inspection of printing model was realized based on the printing needles with video monitoring.The dispersion confocal displacement measurement technology was adopted to measure the position information of X-axis and Y-axis and the height information of Z-axis.The topography reconstruction work of printing model was processed by MountainsMap.The upper computer operating system was developed by LabVIEW,in which the printing model was mapped with G-code to visualize printing track to ensure the accuracy of the printing model when the program runs to the current code segment.The online real-time detecting function of the proposed biological 3D printer was verified by experiments,and the surface topography detection of grid shaped and convex shaped models was conducted respectively.Results show that the surface topography information of printing model can be reconstructed by the detection system.The visualization data of the surface topography features of the printing model provides data support for the construction of accurate printing models,and the computer vision technology provides an effective detection method for high-precision biological 3D printing.
作者
白大鹏
张斌
洪昊岑
李洋
季清华
杨华勇
BAI Da-peng;ZHANG Bin;HONG Hao-cen;LI Yang;JI Qing-hua;YANG Hua-yong(State Key Laboratory of Fluid Power and Mechatronic Systems,School of Mechanical Engineering,Zhejiang University,Hangzhou 310027,China;Binhai Industrial Technology Research Institute of Zhejiang University,Tianjin 300450,China)
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2021年第2期289-298,共10页
Journal of Zhejiang University：Engineering Science
基金
国家重点研发计划资助项目(2018YFA0703000)。
关键词
生物3D打印
模型检测
检测技术
形貌重建
可视化
biological 3D printing
model detection
detection technology
surface topography reconstruction
visualization
