Radiographic Testing for Steel Core Belt
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摘要: 工业生产中，钢丝芯皮带中的钢丝芯断裂是皮带撕裂主要原因，一般方法对钢丝芯皮带检测较难。通过对人工检测、电磁检测、热成像方法进行对比发现，这些方法检测少量、单根钢丝芯皮带比较方便，检测排列密度高的钢丝芯皮带难度较大。根据皮带中的钢丝芯对X射线吸收多而皮带吸收少的特点，采用满足检测要求的X射线强度透照钢丝芯皮带，并对X射线增强器采集的图像进行处理和分析，最后通过神经网络方法准确判断出钢丝芯的缺陷位置。试验证明，采用X射线方法检测效率高，能够对各种复杂排列的钢丝芯皮带进行检测，且该方法比一般方法更直观，更能够准确判断出缺陷位置。Abstract: For industrial production, steel core wire belt in the belt tearing fracture is mainly due to the core, and the general method of detection is more difficult for the core wire belt. In this paper, by the comparison of manual inspection, electromagnetic detection and thermal imaging methods, it was found that these methods were effective in detecting small amount and single broken wire, but were difficult in detecting steel core belt of high density arrangement. Based on the fact that the core wire in the belt absorbed more X-ray energy than the belt itself, this paper proposed the X-ray testing to meet the testing requirements for intensity steel core belt, followed by collection of X-ray image intensifier for image processing, image analysis, and finally by the neural network method to accurately determine the location of the defect core wire. The X-ray detection was shown high efficiency, and could be arranged in a variety of complex steel core belt testing. It was also proved by experiments that the method was more intuitive than the average, and was able to accurately determine the defect position.
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Keywords:
- Steel core /
- Radiographic testing /
- Image analysis /
- Defect location
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[1] 范雄.X射线金属学［M］.北京：机械工业出版社,1983. [2] 张萌萌，闫素梅，杨扬，等.基于图像识别和激光扫描的铝污点定位系统的研究［J］.计算机测量与控制,2010(11):2511-2513. [3] 尚宝刚，夏海涛，高波.基于线扫描式X射线检测系统的缺陷自动标记装置［J］.无损检测,2010,32(10):822.
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