Research on Damage Caused by Carbon-Fiber-Reinforced Polymer Robotic Drilling Based on Digital Image Correlation and Industrial Computed Tomography

IF 2.1 3区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Machines Pub Date : 2023-12-29 DOI:10.3390/machines12010022

Feng Shi, Yi Yang, Nianjun Sun, Zhaocai Du, Chen Zhang, Dongjie Zhao

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引用次数: 0

Abstract

In order to enhance application scenarios and increase the proportion of industrial robots in the field of drilling composites, the damage caused by carbon-fiber-reinforced polymer robotic drilling is studied. The shortcomings of the existing damage evaluation factors are analyzed, and new damage evaluation factors for carbon-fiber-reinforced polymer laminates made of unidirectional prepreg are proposed. A robot and a brad-and-spur drill were used to drill carbon-fiber-reinforced polymer laminates to study the influence of the process parameters on robotic drilling damage. Digital image correlation equipment and industrial computed tomography were used to study the formation process and the damage forms of the hole on the exit side with different process parameters. The test results show that delamination and tearing are significantly affected by the feed rate and spindle speed, while burrs are less affected by the cutting parameters. Appropriately increasing the spindle speed and reducing the feed rate are beneficial to reducing the comprehensive damage factor and improving the hole quality. To avoid hole scrapping caused by a large amount of damage, it is suggested that the robotic drilling parameters should be controlled at a spindle speed higher than 8000 rpm and a feed rate lower than 360 mm/min.

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基于数字图像相关性和工业计算机断层扫描的碳纤维增强聚合物机器人钻孔损伤研究

为了提高工业机器人在复合材料钻孔领域的应用场景和比例，对碳纤维增强聚合物机器人钻孔造成的损伤进行了研究。分析了现有损伤评价因子的不足，并针对单向预浸料制成的碳纤维增强聚合物层压板提出了新的损伤评价因子。使用机器人和钎刺钻对碳纤维增强聚合物层压板进行钻孔，研究工艺参数对机器人钻孔损伤的影响。使用数字图像相关设备和工业计算机断层扫描研究了不同工艺参数下孔的形成过程和出口侧的损伤形式。试验结果表明，分层和撕裂受进给率和主轴转速的影响较大，而毛刺受切削参数的影响较小。适当提高主轴转速和降低进给速度有利于降低综合损伤系数，提高孔的质量。为避免大量损伤造成孔报废，建议将机器人钻孔参数控制在主轴转速高于 8000 rpm、进给速度低于 360 mm/min 的范围内。

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来源期刊

Machines Multiple-

CiteScore

3.00

自引率

26.90%

发文量

1012

审稿时长

11 weeks

期刊介绍： Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: *manuscripts regarding research proposals and research ideas will be particularly welcomed *electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material Subject Areas: applications of automation, systems and control engineering, electronic engineering, mechanical engineering, computer engineering, mechatronics, robotics, industrial design, human-machine-interfaces, mechanical systems, machines and related components, machine vision, history of technology and industrial revolution, turbo machinery, machine diagnostics and prognostics (condition monitoring), machine design.