重庆大学学报2026,Vol.49Issue(3):71-83,13.DOI:10.11835/j.issn.1000-582X.2026.03.007
航空发动机小直径管焊缝微焦点X射线DR检测工艺参数优化方法
Process parameter optimization for microfocus X-Ray digital radio-graphy inspection of small-diameter aero-engine tube welds
摘要
Abstract
Microfocus X-ray digital radiography(DR)offers high image resolution and is therefore well suited for the nondestructive inspection of small-diameter aero-engine tube welds.To optimize the inspection process parameters for microfocus DR applied to small-diameter aero-engine tube welds,a numerical model describing the relationship between process parameters and DR image quality was developed to guide parameter selection.First,a step wedge made of the same material as the aero-engine small-diameter tubes was used to simulate different X-ray penetration thicknesses of the workpiece.A quadratic regression model was then established to characterize the relationships between key process parameters(tube voltage,tube current,magnification,and penetration thickness,etc.)and DR image quality indexes(spatial resolution and contrast-to-noise ratio).Then,three small-diameter aero-engine tubes with different wall thicknesses were selected as representative workpieces,and the optimal sequence of process parameters was determined using a non-dominated genetic algorithm.Experimental results show that the measured DR image quality indices closely match the predicted values of the model,demonstrating that the proposed quadratic regression model can effectively predict the relationship between process parameters and DR image quality.Compared with conventional methods that adjust process parameters individually,the proposed method exhibits higher efficiency and stronger guidance and can be extended to similar DR inspection applications.关键词
射线数字成像/对比度噪声比/空间分辨率/响应面回归方法/航空发动机小直径管/工艺参数Key words
digital radiography/contrast-to-noise ratio/spatial resolution/response surface regression methods/small-diameter aero-engine tubes/process parameters分类
机械制造引用本文复制引用
张滔,马龙,袁伟,周昕,刘丰林..航空发动机小直径管焊缝微焦点X射线DR检测工艺参数优化方法[J].重庆大学学报,2026,49(3):71-83,13.基金项目
国家重点研发计划(2022YFF0706400) (2022YFF0706400)
中航发产学研合作项目(HFZL2020CXY015-2).Supported by National Key Research and Development Program of China(2022YFF0706400),and Aero Engine Corporation of China Industry-University-Research Cooperation Project(HFZL2020CXY015-2). (HFZL2020CXY015-2)