In steel plants, estimation of the production system characteristic is highly critical to adjust the system parameters for best efficiency. Although the system parameters may be tuned very well, due to the machine and...In steel plants, estimation of the production system characteristic is highly critical to adjust the system parameters for best efficiency. Although the system parameters may be tuned very well, due to the machine and human factors involved in the production line some deficiencies may occur in product. It is important to detect such problems as early as possible. Surface defects and dimensional deviations are the most important quality problems. In this study, it is aimed to develop an approach to measure the dimensions of metal profiles by obtaining images of them. This will be of use in detecting the deviations in dimensions. A platform was introduced to simulate the real-time environment and images were taken from the metal profile using 4 laser light sources. The shape of the material is generated by combining the images taken from different cameras. Real dimensions were obtained by using image processing and mathematical conversion operations on the images. The results obtained with small deviations from the real values showed that this method can be applied in a real-time production line.展开更多
蝶形图是交流电磁场检测(alternating current field measurement,ACFM)中判定缺陷存在的一种重要方法。为研究常规裂纹蝶形图与裂纹剖面的映射关系,首先利用COMSOL Multiphysics实现不同尺寸裂纹的数值模拟,并建立了长度和深度特征量...蝶形图是交流电磁场检测(alternating current field measurement,ACFM)中判定缺陷存在的一种重要方法。为研究常规裂纹蝶形图与裂纹剖面的映射关系,首先利用COMSOL Multiphysics实现不同尺寸裂纹的数值模拟,并建立了长度和深度特征量的重构方程。其次通过对比,分析了蝶形图与裂纹剖面的内在关系,进一步结合图像处理法和常规线性拟合方法分别建立了两者的映射关系方程。最后,对Q235钢不同尺寸的槽状裂纹进行了检测试验。试验结果表明:基于长度和深度的裂纹剖面误差分别为5.46%和6.02%。该研究实现了蝶形图的再利用,为缺陷的风险评估方法提供了重要的参考。展开更多
文摘In steel plants, estimation of the production system characteristic is highly critical to adjust the system parameters for best efficiency. Although the system parameters may be tuned very well, due to the machine and human factors involved in the production line some deficiencies may occur in product. It is important to detect such problems as early as possible. Surface defects and dimensional deviations are the most important quality problems. In this study, it is aimed to develop an approach to measure the dimensions of metal profiles by obtaining images of them. This will be of use in detecting the deviations in dimensions. A platform was introduced to simulate the real-time environment and images were taken from the metal profile using 4 laser light sources. The shape of the material is generated by combining the images taken from different cameras. Real dimensions were obtained by using image processing and mathematical conversion operations on the images. The results obtained with small deviations from the real values showed that this method can be applied in a real-time production line.
文摘蝶形图是交流电磁场检测(alternating current field measurement,ACFM)中判定缺陷存在的一种重要方法。为研究常规裂纹蝶形图与裂纹剖面的映射关系,首先利用COMSOL Multiphysics实现不同尺寸裂纹的数值模拟,并建立了长度和深度特征量的重构方程。其次通过对比,分析了蝶形图与裂纹剖面的内在关系,进一步结合图像处理法和常规线性拟合方法分别建立了两者的映射关系方程。最后,对Q235钢不同尺寸的槽状裂纹进行了检测试验。试验结果表明:基于长度和深度的裂纹剖面误差分别为5.46%和6.02%。该研究实现了蝶形图的再利用,为缺陷的风险评估方法提供了重要的参考。