• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (7): 167-180.doi: 10.3901/JME.2025.07.167

• 特邀专栏:先进纤维增强复合材料加工 • 上一篇    下一篇

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基于极坐标映射的CFRP制孔毛刺形态学特征与评价指标

梁思羽1, 刘广军1, 陈涛2, 赫连勃勃3, 王云飞4   

  1. 1. 同济大学机械与能源工程学院 上海 200092;
    2. 哈尔滨理工大学机械动力工程学院 哈尔滨 150080;
    3. 卡尔斯鲁厄理工学院移动机械研究所 卡尔斯鲁厄 76131 德国;
    4. 上海建筑机械安全智能控制工程技术研究中心 上海 200032
  • 收稿日期:2024-06-03 修回日期:2024-11-26 发布日期:2025-05-12
  • 作者简介:梁思羽,男,1998年出生,博士研究生。主要研究方向为高效加工技术与装备、复合材料构件制造技术与装备。E-mail:cedric_liang@163.com
    刘广军(通信作者),男,1979年出生,博士,教授,博士研究生导师。主要研究方向为高效加工技术与装备、复合材料构件制造技术与装备、切削加工机器人及其刀具技术。E-mail:gjliu@tongji.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(51875412)。

Morphological Characteristics and Evaluation Indicators of CFRP Drilling Burrs Based on Polar Coordinate Mapping

LIANG Siyu1, LIU Guangjun1, CHEN Tao2, HELIAN Bobo3, WANG Yunfei4   

  1. 1. School of Mechanical Engineering, Tongji University, Shanghai 200092;
    2. School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080;
    3. Institute of Mobile Machines, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany;
    4. Shanghai Engineering Research Center for Safety Intelligent Control of Building Machinery, Shanghai 200032
  • Received:2024-06-03 Revised:2024-11-26 Published:2025-05-12

摘要: 制孔加工是CFRP构件机加工处理的常用手段,加工孔的质量直接影响到构件连接强度、装配精度和内应力,对结构整体质量至关重要。但是,由于CFRP特有的不均匀性与各向异性,钻削加工过程中,纤维的断裂与材料的去除具有随机性和不稳定性,由此导致成孔周围普遍存在毛刺缺陷,进而影响加工质量。因此,对CFRP成孔毛刺的识别、评价与控制意义重大。本研究提出了基于极坐标映射的图像处理方法,在保留成孔毛刺原始特征的基础上,排除图像平移、旋转和缩放的影响,提高缺陷识别与评价的便利性;然后,建立了基于伪频谱的成孔轮廓曲线参数化评价方法,通过自然坐标系下成孔轮廓曲线的切向量方向角函数的伪频谱对毛刺现象进行量化;最后,通过实验对提出的理论和方法进行了验证。结果指出,在轮廓曲线伪频谱中,峰值频率能有效反映毛刺尺度,总功率能有效反映毛刺整体数量,钻削过程中纤维切削角将影响毛刺的形态,适当提高主轴转速、减小进给率能有效降低毛刺缺陷。本研究提出的CFRP成孔图像处理方法和毛刺评价指标具备可观的准确性和有效性,有望应用于CFRP构件钻削工艺在线监测等领域,提高成孔质量分析的可靠性和便利性。

关键词: 碳纤维增强基复合材料, 毛刺, 形态学, 钻削, 图像处理

Abstract: Drilling is a common procedure in machining CFRP parts. The connection strength, assembly accuracy, and internal stress are directly influenced by the machining quality, which is crucial to the properties of the whole structure. However, due to the characteristic inhomogeneity and anisotropy of CFRP, fiber breakage and material removal during drilling is stochastic, which leads to prevalent burr defects around the holes and affects the processing quality. Thus, it is significant to recognize, evaluate, and control the burr defects of CFRP holes. In this study, CFRP hole image processing method based on polar mapping is proposed, where the effects of image panning, rotation, and zoom are excluded with the original features of the burr being retained so that the convenience of defect identification and evaluation has been improved. Then, a parametric evaluation method of the hole contour curve based on pseudo-spectrum is established, and the burr phenomenon was quantified by the pseudo-spectrum of the tangential vector direction angle function of the hole contour curve in the natural coordinate system. Finally, the proposed theory and method are verified by experiments. The results show that in the pseudo-spectrum of the contour curve, the peak frequency can reflect the size of the burr, the total power can reflect the overall number of burrs, the fiber cutting angle will affect the shape of the burrs during drilling, and the appropriate increase of the spindle speed and the reduction of the feed rate can effectively reduce the burr defects. The CFRP hole image processing method and burr evaluation index proposed in this study have considerable accuracy and effectiveness, and are expected to be applied to the online monitoring of CFRP component drilling process and other fields, so as to improve the reliability and convenience of hole quality analysis.

Key words: carbon fibre-reinforced polymer, burr, morphology, drilling, image processing

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