首页|基于机器人的自动化检测技术在航空制造中的应用进展

基于机器人的自动化检测技术在航空制造中的应用进展

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随着航空工业的发展,各类航空器的性能日益提升,对质量检测的要求也不断提高.相较于传统人工方法,基于机器人的自动化检测技术具有更高的操作精度和效率,在航空制造与检修过程中已经得到广泛应用.本文重点关注了近 10 年基于机器人的自动化检测技术在零件加工、成品质量检测及飞机整机维护检修等各个环节中的应用情况.对比了六轴工业机器人、移动机器人和无人机等不同种类机器人与超声、光学和其他类型检测技术的应用效果.最终总结得出,基于机器人的自动化检测技术的研究对提高航空制造与检修过程中的质量控制具有重要的实际意义,但仍面临小型化、智能化、实用化的挑战.
Application of Robot-Based Automated Inspection Technology in Aviation Manufacturing
With the development of the aviation industry,the performance of aircraft has been improving,and the requirements for quality inspection have been continuously increasing.Compared with traditional manual methods,robot-based automated inspection technology has higher operating accuracy and efficiency,and has been widely used in aviation manufacturing and maintenance processes.This article focuses on the application of robot-based automated inspection technology in various aspects such as component processing,finished product quality inspection,and aircraft maintenance and repair over the past decade,especially in surface drilling process inspection,large,irregular and complex component processing inspection,internal material nondestructive inspection,structural shape inspection,aircraft skin and surface quality inspection and aircraft internal narrow space inspection.This paper reviews in detail the application effects of different kinds of robots such as six-axis industrial robots,wheeled mobile robots,crawling robots,continuum robots and unmanned aerial vehicles with ultrasonic,optical and other types of detection technologies.Most of the articles reviewed were summarized in a table for reference by the researchers concerned.In conclusion,research on robot-based automated inspection technology is of great practical significance for improving quality control in aviation manufacturing and maintenance processes,but it still faces challenges of insufficient flexibility,insufficient algorithm intelligence and insufficient human-computer interaction research.

Automated inspectionRobotAviation manufacturingPart processingOverall maintenance

党仁俊、李志虎、钱泓宇、陈睿、徐静

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清华大学,北京 100084

自动化检测 机器人 航空制造 零件加工 整机检修

2024

航空制造技术
北京航空制造工程研究所

航空制造技术

CSTPCD北大核心
影响因子:0.403
ISSN:1671-833X
年,卷(期):2024.67(5)
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