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基于激光辅助加热的激光超声投捕法识别微裂纹 被引量:15
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作者 李加 倪辰荫 +2 位作者 张宏超 董利明 沈中华 《中国激光》 EI CAS CSCD 北大核心 2013年第4期206-212,共7页
工件几何形状不规则或材料性质非均匀时,易发生局部应力突变,导致工件产生裂纹。利用传统的超声检测技术(如超声投捕法)对这种早期裂纹进行检测时,由于裂纹尺寸很小以及工件表面其他的散射物(如表面突起、凹槽和腐蚀坑等)对声波的影响,... 工件几何形状不规则或材料性质非均匀时,易发生局部应力突变,导致工件产生裂纹。利用传统的超声检测技术(如超声投捕法)对这种早期裂纹进行检测时,由于裂纹尺寸很小以及工件表面其他的散射物(如表面突起、凹槽和腐蚀坑等)对声波的影响,从而难以有效分辨微裂纹。搭建了基于激光超声投捕法的表面缺陷光学检测系统,超声信号由激光线源激发,光偏转差分法探测。对比了传统投捕法、扫描激光源法与扫描加热源法对表面含有突起和微裂纹的样品进行扫描检测的结果。投捕法对信号信噪比要求较高、可靠性较差。扫描激光源法能检测两种缺陷但不能将微裂纹识别出来。扫描加热源法利用微裂纹受热膨胀易发生局部闭合的特性,可以将其与样品表面的突起加以区分。采用有限元方法,分析了裂纹尺寸变化对透射声表面波的影响。 展开更多
关键词 测量 激光超声 投捕法 激光加热 微裂纹识别 声表面波
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基于改进极限学习机的透明塑料裂痕检测 被引量:2
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作者 李加州 《塑料科技》 CAS 北大核心 2020年第1期114-117,共4页
针对透明塑料中微小裂痕难以检测的问题,提出了基于改进的极限学习机算法的检测方法,采用卷积神经网络以组建特征提取器;同时,采用基于狮群算法优化的改进极限学习机算法以构建分类器。在改进极限学习机算法中,狮群算法被用于优化隐含... 针对透明塑料中微小裂痕难以检测的问题,提出了基于改进的极限学习机算法的检测方法,采用卷积神经网络以组建特征提取器;同时,采用基于狮群算法优化的改进极限学习机算法以构建分类器。在改进极限学习机算法中,狮群算法被用于优化隐含层神经元和输入层神经元之间的权重矩阵,提高了透明塑料微小裂痕检测实验中的识别率。 展开更多
关键词 卷积神经网络 极限学习机 狮群算法 裂痕检测
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Modeling and Experimental Analysis of Roughness Effect on Ultrasonic Nondestructive Evaluation of Micro-crack 被引量:2
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作者 Zhe Wang Zhichao Fan +3 位作者 Xuedong Chen Yihua Kang Jingwei Cheng Wei Chen 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2021年第6期126-137,共12页
A high-precision evaluation of ultrasonic detection sensitivity for a micro-crack can be restricted by a corroded rough surface when the surface microtopography is of the same order of magnitude as the crack depth.In ... A high-precision evaluation of ultrasonic detection sensitivity for a micro-crack can be restricted by a corroded rough surface when the surface microtopography is of the same order of magnitude as the crack depth.In this study,a back-surface micro-crack is considered as a research target.A roughness-modified ultrasonic testing model for micro-cracks is established based on a multi-Gaussian beam model and the principle of phase-screen approximation.The echo signals of micro-cracks and noises corresponding to different rough front surfaces and rough back surfaces are obtained based on a reference reflector signal acquired from a two-dimensional simulation model.Further compari-son between the analytical and numerical models shows that the responses of micro-cracks under the effects of dif-ferent corroded rough surfaces can be accurately predicted.The numerical and analytical results show that the echo signal amplitude of the micro-crack decreases significantly with an increase in roughness,whereas the noise ampli-tude slightly increases.Moreover,the effect of the rough front surface on the echo signal of the micro-crack is greater than that of the rough back surface.When the root-mean-square(RMS)height of the surface microtopography is less than 15μm,the two rough surfaces have less influence on the echo signals detected by a focused transducer with a frequency of 5 MHz and diameter of 6 mm.A method for predicting and evaluating the detection accuracy of micro-cracks under different rough surfaces is proposed by combining the theoretical model and a finite element simulation.Then,a series of rough surface samples containing different micro-cracks are fabricated to experimentally validate the evaluation method. 展开更多
关键词 Surface roughness micro-crack Ultrasonic testing model detection accuracy Evaluation method
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Image Preprocessing Methods to Identify Micro-cracks of Road Pavement 被引量:1
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作者 Hui Wang Zhang Chen Lijun Sun 《Optics and Photonics Journal》 2013年第2期99-102,共4页
Standards of highway conservation and maintenance are improved gradually following the improvement of requirements of road service. Before obvious damage such as obvious cracking (block,transverse, longitudinal ) and ... Standards of highway conservation and maintenance are improved gradually following the improvement of requirements of road service. Before obvious damage such as obvious cracking (block,transverse, longitudinal ) and rutting emerge, inconspicuous distress (micro-cracks, polishing, pockmarked) is generated previously. These inconspicuous distresses may provide basis and criteria for pavement preventive maintenance. Currently most of preventive conservation measures are determined by experienced experts in maintenance and repair of road after site visits. Thus method is difficult in operation, and has a certain amount of instability as it is based on experience and personal knowledge. In this paper, camera and laser were used for automated high-speed acquisition images. Methods to preprocess pavement image are compared. The pretreatment method suitable for analyze micro-cracks picture is elected, an effective way to remove shadow is also proposed. 展开更多
关键词 PAVEMENT DISTRESS Automatic detection Inconspicuous DISTRESS micro-crack Laser Light IMAGE Image-preprocessing
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基于GA-BP神经网络的微裂纹漏磁检测定量化评价 被引量:3
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作者 邱忠超 张卫民 +2 位作者 果艳 刘金 成明明 《无损检测》 2016年第2期1-4,共4页
介绍了利用遗传算法优化BP神经网络,实现金属中微细裂纹漏磁检测定量化评价的基本原理。将遗传算法和人工神经网络有机结合,进行漏磁定量化检测,既提高了算法的全局搜索性,又良好地适应于非线性问题。试验结果表明,将该人工智能算法应... 介绍了利用遗传算法优化BP神经网络,实现金属中微细裂纹漏磁检测定量化评价的基本原理。将遗传算法和人工神经网络有机结合,进行漏磁定量化检测,既提高了算法的全局搜索性,又良好地适应于非线性问题。试验结果表明,将该人工智能算法应用于工程实际,能有效实现基于漏磁检测信号的金属中微细裂纹定量化评价。 展开更多
关键词 GA-BP神经网络 微裂纹 漏磁检测 定量化
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