基于三维特征提取及点云拟合补偿的微热管回转压弯方法
1.华南理工大学 机械与汽车工程学院,广东 广州 510640;
2.华南农业大学 工程学院,广东 广州 510642;
3. 广东理工学院 电气与电子工程学院,广东 肇庆 526100
网络出版日期: 2026-01-23
A Method for Micro Heat Pipe Rotary Bending Based on 3D Feature Extraction and Point Cloud Fitting Compensation
1.School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China;
2. College of Engineering, South China Agricultural University, Guangzhou 510642, Guangdong, China;
3. School of Electrical and Electronics Engineering, Guangdong Technology College, Zhaoqing 526100, Guangdong, China
Online published: 2026-01-23
针对微热管人工压弯过程存在弯曲段截面畸变大降低传热性能、成型精度低及生产效率不高的问题,本文提出一种基于三维几何特征提取及点云拟合补偿的微热管自动回转压弯成型方法。目的为实现微热管压弯最优工艺参数快速智能化确定与高精度成型控制,提升微热管制造效率并保障其传热特性。首先,基于边界表示法解析微热管三维模型提取关键几何特征参数,基于数据集采用案例推理技术自动生成微热管预弯成型工艺参数,随后由折弯机完成压弯成型;其次,扫描获取成型微热管的三维点云数据,经去噪降重等预处理,并通过定向、分段及拟合轴线处理获得其实际几何尺寸;最后,对比微热管成型实际几何尺寸与目标几何尺寸,根据差值修正微热管成型工艺参数。实验结果表明:本文提出的微热管成型方法可自动生成压弯工艺参数,成型尺寸误差≤0.5 mm、角度误差≤0.5°,与人工试验确定压弯参数相比,本方法的工艺参数确定时间减少了75%以上,本研究为微热管的高效精准压弯成型提供了一种新方法。
李勇, 司徒志豪, 黄光文, 等 . 基于三维特征提取及点云拟合补偿的微热管回转压弯方法[J]. 华南理工大学学报(自然科学版), 0 : 1 . DOI: 10.12141/j.issn.1000-565X.250458
To address the issues of significant cross-sectional distortion in the bent segment, low forming accuracy, and low production efficiency in the manual bending process of micro heat pipes, this paper proposes an automatic rotary press-bending method based on 3D geometric feature extraction and point cloud fitting compensation. The objective is to achieve intelligent generation of bending process parameters and high‑precision forming control, thereby enhancing the manufacturing efficiency of micro heat pipes while preserving their heat transfer characteristics. First, key geometric feature parameters are extracted by parsing the 3D model of the micro heat pipe using boundary representation, and case-based reasoning technology is applied to automatically generate pre-bending process parameters. The bending machine then completes the press-bending formation. Next, 3D point cloud data of the formed micro heat pipe is acquired via scanning. After preprocessing including denoising and simplification, the actual geometric dimensions are obtained through orientation, segmentation, and axis fitting. Finally, the actual dimensions are compared with the target dimensions, and the forming process parameters are corrected based on the differences. Experimental results show that the proposed method can automatically generate press-bending process parameters, achieving dimensional errors ≤ 0.5 mm and angular errors ≤ 0.5°. Compared with manually determined parameters, this method reduces the parameter determination time by over 75%. This study provides a new approach for efficient and precise press-bending formation of micro heat pipes.
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