摘要
轴承作为各类大型机械装置中的核心基础部件,其内部缺陷的高精度检测与成像对于保障装备安全运行具有重要的理论意义和工程应用价值。针对具有复杂曲面结构的轴承,提出了一种基于延迟相乘叠加(delay multiply and sum,DMAS)算法的高信噪比超声成像方法。实验中采用楔块与超声相控阵换能器,通过超声斜入射方式对轴承内部的盲孔缺陷展开检测,并引入信噪比(signal-to-noise ratio,SNR)、阵列性能指标(array performance inde x,API)等参数,对不同损伤的成像结果进行评估。实验结果表明:曲面修正后的p-DMAS成像算法在各项图像性能指标及评价中均表现最优,其SNR最高提升25.8 dB,API最高提升8.4,显著增强了缺陷检测能力。该方法为轴承类曲面结构的原位无损检测提供了新的思路和解决方案。
As a core fundamental component in various large-scale mechanical systems,bearings play a critical role in ensuring the safe and reliable operation of equipment,making high-precision detection and imaging of internal defects of significant theoretical and engineering importance.To address the challenges associated with bearings featuring complex curved surfaces,this study proposes a high signal-to-noise ratio ultrasonic imaging method based on the delay multiply and sum(DMAS)algorithm.In the experiments,a wedge in combination with an ultrasonic phased-array transducer was employed to inspect internal flat-bottom hole defects in bearings using oblique ultrasonic incidence.Signal-to-noise ratio(SNR),array performance index(API),and other evaluation metrics were introduced to quantitatively assess the imaging performance for different types of damage.The experimental results demonstrate that the surface-corrected p-DMAS imaging algorithm exhibits superior performance across all image quality metrics,achieving a maximum SNR improvement of 25.8 dB and an API increase of up to 8.4,thereby significantly enhancing defect detection capability.This method provides a novel approach and practical solution for in situ nondestructive testing of bearing-like curved structures.
作者
张怡波
文放
李卫彬
邓明晰
ZHANG Yibo;WEN Fang;LI Weibin;DENG Mingxi(School of Aerospace Engineering,Xiamen University,Xiamen 361005,Fujian,China;China Aero-Polytechnology Establishment,Beijing 100028,China;College of Aerospace Engineering,Chongqing University,Chongqing 400044,China)
出处
《陕西师范大学学报(自然科学版)》
北大核心
2026年第2期1-10,共10页
Journal of Shaanxi Normal University:Natural Science Edition
基金
国家自然科学基金(12425412,12134002)。
关键词
轴承
超声相控阵
DMAS算法
超声曲面成像
bearing
ultrasonic phased array
DMAS algorithm
ultrasonic curved-surface imaging
