节点文献

面向物联网的大尺寸光投影3D打印系统

Large-size Light Projection 3D Printing System for the Internet of Things

【作者】 赵明

【导师】 周绍林;

【作者基本信息】 华南理工大学 , 集成电路工程(专业学位), 2021, 硕士

【摘要】 数字光投影(DLP)3D打印技术依据液态光敏树脂在紫外辐照下快速固化的原理,通过积累二维树脂固化层实现任意成型,凭借精度、效率等多方面优势在诸多3D加工技术中脱颖而出,但受限于成型面积,主要用于精细制造、小尺度成型。本文提出一种基于旋转拼接的转盘式大尺寸3D打印方法,在旋转拼接成型方案设计、极坐标系图形分割以及3D打印控制系统方面进行了深入探索和研究,主要内容如下:(1)针对DLP 3D打印技术加工制件尺寸小的问题,提出了一种通过旋转移动数字投影仪从而扩大成型面积的旋转拼接成型方案。相较于其他大尺寸打印方法,本方法在保证成型精度的前提下使整机成本更低,机械结构更加简单,安装维护便捷。(2)针对旋转拼接打印方法的切片图像处理,重点研究面向旋转拼接成型的切片图像分割算法——自适应图像分割算法。根据切片图像中有效区域的位置,自适应调整图像分割位置,相较于另一种恒定次数、固定位置的图像分割算法,该算法进一步减少分割图像次数,避免了有效区域重复曝光,有效提升了打印效率和打印质量。(3)针对便捷的远程打印等物联网应用需求,设计了一种基于树莓派和STM32协同工作的远程打印控制系统,在完成大尺寸3D打印控制的基础上,进一步构建了一个操作便捷、功能丰富、易于扩展的DLP 3D物联网打印平台。(4)自适应图像分割算法及旋转拼接3D打印成型的测试与验证。首先完成多平台自适应图像分割算法编译,根据其分割结果模拟分割后图像旋转拼接效果,验证了该算法的有效性。其次在打印机系统内集成转盘式打印平台,完成了多次单层旋转固化拼接实验,验证该方案可行性,同时对实验结果进行误差分析。

【Abstract】 Digital light projection(DLP)3D printing technology is based on the principle of rapid curing of liquid photosensitive resin under ultraviolet radiation to realize arbitrary molding by accumulating a two-dimensional resin cured layer.It stands out among other3D processing technologies due to its advantages in precision and efficiency,but it is limited by the molding area so that is mainly used for precise manufacturing and small-scale molding.This paper proposes a large-size turntable 3D printing method based on rotating splicing,In-depth research on the design of rotation stitching algorithm,image segmentation in polar coordinates,and 3D printing control system.The main contents are as follows:(1)For the problem of the small size of the parts processed by DLP 3D printing technology,a solution is proposed to expand the molding area by rotating and moving the digital projector.Compared with other large-size printing methods,this method makes the whole machine lower in cost,simpler in mechanical structure,and more convenient in installation and maintenance while ensuring the molding accuracy.(2)Focusing on the requirements of rotary stitching for sliced images,this paper focuses on the research of slice image segmentation algorithm oriented to rotary stitching--adaptive image segmentation algorithm.That is,according to the position of the effective region in the slice image,the image segmentation position can be adjusted adaptively.Compared with another image segmentation algorithm with constant number and fixed position,this algorithm further reduces the number of image segmentation,avoids repeated exposure of the effective area,and effectively improves the printing efficiency and quality.(3)Aiming at the needs of convenient remote printing and other IoT applications,this paper designed a remote printing control system based on the cooperation of Raspberry Pi and STM32.That is,on the basis of completing the control of large-scale 3D printing,a DLP 3D Internet of Things printing platform with convenient operation,rich functions and easy expansion is built.(4)Test and verification of adaptive image segmentation algorithm and rotation stitching 3D printing molding.Firstly,the adaptive image segmentation algorithm is compiled on multiple platforms,and the image rotation and stitching effect after segmentation is simulated according to the segmentation results,which verifies the effectiveness of the algorithm.Secondly,a turntable printing platform was integrated in the printer system,and several single-layer rotating solidification splicing experiments were completed to verify the feasibility of the scheme,and at the same time,the error analysis of the experimental results was carried out.

节点文献中: 

本文链接的文献网络图示:

本文的引文网络