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J. Hefei Univ. Tech. (Nat. Sci.)

合肥工业大学学报(自然科学版)

JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY (NATURAL SCIENCE)

Competent Authorities: Ministry of Education of the People's Republic of China

Sponsor by: Hefei University of Technology

ISSN 1000-1646, CN 34-1001/N

Visual feedback for path homogenization in silicone extrusion additive manufacturing

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视觉反馈的硅胶挤出增材制造路径均匀化方法

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Sept.2025, Vol.48 No.9: 1176-1182

DOI: 10.3969/j.issn.1003-5060.2025.09.004

Authors

QIU Long, XIA Lian, HAN Jiang, MA Dingyifei, TIAN Xiaoqing

(School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China)

Abstract and Keywords

Abstract: Aiming at the overfilling at the corner and underfilling at the start in the silicone extrusion additive manufacturing process, this study proposes a silicone extrusion defect optimization method based on visual feedback. Firstly, a silicone extrusion additive manufacturing experimental platform is set up, and the visual sensor is used to monitor the printing process and obtain the printing images. Then the corresponding image processing algorithm is designed for the printed line images in the experiment, and the line widths of the printed lines are obtained according to this algorithm. In order to study the relationship between the printed line width and process parameters, a set of orthogonal experiments are designed, the printed line width data under different printing parameters (layer thickness h, nozzle moving speed $ v_{t} $, and nozzle extrusion speed $ v_{d} $) are gotten, and the line width data are fitted using least squares method to get the mathematical model of the line width. The extrusion speed change rule of the nozzle at the corner and the start of printing in the silicone extrusion process is analyzed through the line width model, the extrusion speed change model of the nozzle is established, and the G code of the printing model is optimized by using the extrusion speed change model of the nozzle and the line width model, so as to make the moving speed and extrusion speed of the nozzle maintain a certain matching relationship at the corner and the start of printing, thus improving the overfilling and underfilling defects of the silicone extrusion. Finally, silicone extrusion printing experiments verify the effectiveness of the optimization method.

Keywords: silicone; additive manufacturing; image processing; extrusion defects; off-line optimization

作者信息

邱龙，夏链，韩江，马丁逸飞，田晓青

（合肥工业大学机械工程学院，安徽合肥230009）

摘要和关键词

摘要: 针对硅胶挤出增材制造过程中拐角处的过填充和起始处的欠填充缺陷,文章提出一种基于视觉反馈的硅胶挤出缺陷优化方法。首先搭建硅胶挤出增材制造实验平台,利用视觉传感器监测打印过程并获取打印图像;针对实验中的打印线条图像设计相应的图像处理算法,根据该算法得到打印线条的线宽,设计正交试验研究打印线宽与工艺参数之间的影响关系,得到不同打印参数(层厚h、喷嘴移动速度 $ v_{t} $、喷嘴挤出速度 $ v_{d} $)下的打印线条线宽数据,并对线宽数据采用最小二乘法拟合得到线宽数学模型;通过线宽模型分析硅胶挤出过程中喷嘴在拐角和打印起始处的挤出速度变化规律,创建喷嘴的挤出速度变化模型,并利用该模型和线宽模型优化打印模型G代码,使喷嘴的移动速度与挤出速度在拐角和打印起始处保持一定的匹配关系,改善硅胶挤出过程中的过填充和欠填充缺陷。硅胶挤出打印实验结果验证了文章优化方法的有效性。

关键词: 硅胶；增材制造；图像处理；挤出缺陷；离线优化

Funding

国家重点研发计划资助项目（2022YFA1005204）

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