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基于机器视觉的飞机电镀部件曲表面无损检测

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[目的]为解决机器视觉在曲表面无损检测中算法复杂的问题,以及克服传统光源在曲表面检测中的局限性,开发了一套基于格栅光源的飞机电镀部件曲表面无损检测系统.[方法]该系统通过格栅光对电镀部件曲表面进行成像,随后进行图像分析,包括图像导入、预处理、Blob分析等步骤.[结果]该系统能够快速、准确地检测出电镀部件曲表面存在的缺陷,检测效率高且稳定可靠.[结论]该系统在飞机制造企业及航空公司飞机维护一线的初步工程应用中取得了良好效果,有望进一步推广.
Nondestructive testing of curved surfaces of electroplated aircraft parts based on machine vision
[Introduction]In order to solve the algorithmic complexity of machine vision in nondestructive inspection of curved surfaces,as well as to overcome the limitations of traditional light sources in curved surface inspection,a set of nondestructive inspection system for curved surfaces of electroplated aircraft parts based on grid light was developed.[Method]The nondestructive testing system images the curved surface of electroplated part with grid light followed by image analysis including image import,preprocessing,and Blob analysis.[Result]The nondestructive testing system can quickly and accurately detect the defects on the curved surfaces of electroplated parts with high efficiency,stability,and reliability.[Conclusion]The initial engineering application of the nondestructive testing system to aircraft manufacturing enterprise and airline maintenance have shown promising results,indicating the potential for further adoption.

aircraft partelectroplatingcurved surfacenondestructive testingmachine visiongrid light

袁忠大、刘傲天、张小锋、李世杰、王大伟

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广州民航职业技术学院飞机维修工程学院,广东广州 510403

广东省科学院新材料研究所,广东广州 510650

厦门航空有限公司福州分公司机务工程部,福建福州 350003

中国民航大学航空工程学院,天津 300300

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飞机部件 电镀 曲表面 无损检测 机器视觉 格栅光

国家自然科学基金面上项目广东省普通高校特色创新项目广东省教育科学规划课题广东大学生科技创新培育专项资金

521720672023KTSCX2382023GXJK696pdjh2024b537

2024

电镀与涂饰
广州市二轻工业科学技术研究所

电镀与涂饰

CSTPCD北大核心
影响因子:0.47
ISSN:1004-227X
年,卷(期):2024.43(7)
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