Mechanical Deburring of Drilling-Induced Exit Burrs in Carbon Fibre Reinforced Polymer Composites

IF 0.5 Q4 ENGINEERING, CHEMICAL
András Gödri, A. Helle, N. Geier
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引用次数: 0

Abstract

Carbon fibre reinforced polymer (CFRP) composites have excellent specific mechanical properties, which have contributed to the replacement of metallic structural components in high-tech sectors. However, the anisotropic and inhomogeneous properties of CFRPs render them difficult to cut. Burr is one of the main machining-induced macro-geometrical defects in CFRPs. Even though burr does not weaken the resultant strength of the composites (unlike delamination), its removal is time-consuming and costly. The main aim of the present paper is to investigate the efficiency of the mechanical deburring method. Deburring experiments were carried out on unidirectional CFRP, based on a full factorial experimental design using a special solid carbide cutting tool. The effects of feed and cutting speed were analysed using digital image processing and visual evaluation of high-resolution images. The experimental results show that the examined factors seem to have no significant effect on the results over the applied parameter range, because the exit burrs were successfully removed at each parameter setting. Furthermore, during the deburring process, the formation of a significant amount of chamfers was observed. Since the size of the chamfers depends on the size of delamination-induced material deformation and process control, it should be either compensated for or monitored in the future to develop a more reliable deburring process.
碳纤维增强聚合物复合材料钻削出口毛刺的机械去毛刺
碳纤维增强聚合物(CFRP)复合材料具有优异的机械性能,在高科技领域取代了金属结构部件。然而,cfrp的各向异性和非均匀性使其难以切割。毛刺是碳纤维复合材料加工过程中主要的宏观几何缺陷之一。尽管毛刺不会削弱复合材料的综合强度(不像分层),但去除毛刺既耗时又昂贵。本文的主要目的是研究机械去毛刺方法的效率。基于全因子试验设计,采用硬质合金专用刀具对CFRP单向进行去毛刺试验。利用数字图像处理和高分辨率图像的视觉评价分析了进给量和切削速度的影响。实验结果表明,在所应用的参数范围内,所检测的因素似乎对结果没有显著影响,因为在每个参数设置下都成功地去除了出口毛刺。此外,在去毛刺过程中,观察到大量倒角的形成。由于倒角的大小取决于分层引起的材料变形和工艺控制的大小,因此应该在将来对其进行补偿或监测,以开发更可靠的去毛刺工艺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
50.00%
发文量
9
审稿时长
6 weeks
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