摘要
针对传统测量复合材料构件装配产生的不相贴合区域形状时存在精度低、耗时长且内部区域难以测量等问题,提出了一种基于点云数据的装配间隙评估方法,该方法可实现对碳纤维复合材料构件(CFRP)装配间隙进行快速准确测量。通过对铝合金板件制造随机变形的方法来模拟CFRP构件装配间隙的复杂多样性,应用本文所提方法完成对复杂装配间隙的测量,验证了所提方法的可行性,最后通过快速成型技术对间隙模型进行输出,所得到的实体模型能够很好地对装配间隙进行填补,进一步验证了所提方法的有效性。
To solve the problems of low accuracy, long time consuming and difficult to measure the gap at the incompatible area during the assembly of composite components, an evaluation method of assembly gap based on point cloud data processing was proposed. The method was used to measure the assembly gap of carbon fiber reinforced composite components(CFRP) quickly and accurately. To verify the proposed method, a randomly deformed aluminum alloy sheet metal was produced to simulate the complex and variable assembly gap of CFRP.
作者
谢建超
周洪
刘学术
宋世伟
XIE Jian-chao;ZHOU Hong;LIU Xue-shu(Aerospace Shenzhou Aerial Vehicle Co.,Ltd.,Tianjin 300450;School of Automotive Engineering,Dalian University of Technology,Dalian 116024)
出处
《航空精密制造技术》
2019年第5期28-32,共5页
Aviation Precision Manufacturing Technology
关键词
碳纤维复合材料
装配间隙
点云数据
数字化测量
carbon fiber reinforced composite
assembly gap
point cloud data
digital measurement
