共查询到17条相似文献,搜索用时 65 毫秒
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在激光焊接中,焊缝宽度的实时动态变化对于描述焊接质量起着至关重要的作用。焊缝宽度的准确测量有助于理解焊接过程,获得焊接质量控制模型。针对大功率光纤激光焊接304型不锈钢过程,利用高速摄像机,获得清晰的熔池动态红外图像。红外图像仅仅是熔融焊缝处的热成像,难以准确测量焊缝宽度,必须利用BP神经网络加以修正,得到实际焊缝宽度。三组试验结果表明了BP神经网络焊缝宽度测量模型的有效性。 相似文献
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在激光焊接过程中,激光焊机所附带的传感器能够准确实时地反映焊接过程,焊缝宽度的实时动态变化对于描述焊接质量起着至关重要的作用。焊缝宽度准确测量的研究有助于理解焊接过程,获得焊接质量控制模型。针对大功率光纤激光焊接,利用恰当的滤镜系统获得清晰的焊缝熔池图像,建立熔池红外传感跟踪系统。针对大功率光纤激光焊接304型不锈钢过程,研究一种通过熔池图像实时检测焊缝宽度变化的方法。利用高速摄像机获得熔池动态红外图像,通过一系列图像处理技术得到焊缝宽度的识别模型。解决了在金属处于高温下熔池与周边非熔化区的温度比较接近,很难用红外摄像来准确测量焊缝宽度的难题。试验结果表明,所建立的焊缝实际宽度测量模型测量效果良好。 相似文献
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焊缝跟踪技术是自动电弧焊接的一个重要研究领域,实现精确的焊缝跟踪对于提高焊接质量具有非常重要的作用。而要实现精确的焊缝跟踪,焊缝偏差(即焊缝中心与电弧的偏差)检测技术是一个关键。通过图像处理技术,选取熔池图像处理区域(包括熔池前端与熔池前端部份焊缝),并将熔池图像质心作为分析焊缝偏差的特性参量,研究利用熔池特性参数来建立焊缝偏差测量视觉模型的方法。 相似文献
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以316L奥氏体不锈钢管道为研究对象,在摆动激光焊接研究基础上,对管道多位置激光填丝焊接熔滴过渡和焊缝成形展开研究,分析焊接熔池动态特征,优化各位置区间工艺参数,进而实现管道全位置激光焊接.结果表明,摆动激光束周期性的作用于填充焊丝,产生的反冲压力能够促进熔滴过渡,使得焊丝始终以"液桥"形式向熔池过渡;同时摆动激光增强了熔融金属侧向流趋势,提高熔池界面表面张力,削弱空间多位置下重力对熔池形貌的影响,保证各空间位置熔池均能稳定存在,焊缝成形连续均匀. 相似文献
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Automatic on-line detection of welding deviation based on machine vision is one of the key technologies of arc welding robot tracking welding,in which obtaining high quality weld pool image and accurate welding deviation detection algorithm are two important steps of tracking welding.Through the research and analysis of the weld pool image of gas metal arc welding(GMAW),it was found that the weld pool contains abundant welding information.First,the average gray value of the weld pool image can reflect the interference degree of arc to weld pool image and the heat input of welding process.Secondly,the tip of the weld pool image contour can reflect the center of the groove gap.Finally,the horizontal distance between the center coordinate of the wire contour and the tip coordinate of the weld pool image contour can reflect the welding deviation.On the basis of analyzing the characteristics of weld pool image,this paper proposes a new method of weld seam deviation detection,which includes the collection of weld pool image,image preprocessing,contour extraction and deviation calculation.The results of the tests and analyses showed that the maximum error of the on-line welding deviation obtained was about 2 pixels(0.17 mm) when the welding speed was ≤60 cm/min,and the algorithm was stable enough to meet the requirements of real-time deviation detection for I-groove butt welding.The method can be applied to the on-line automatic welding deviation detection of arc welding robot. 相似文献
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Weld pool boundary and weld bead shape reconstruction based on passive vision in P-GMAW 总被引:1,自引:0,他引:1
A passive visual sensing system is established in this research, and clear weld pool images in pulsed gas metal arc welding ( P-GMA W) can be captured with this system. The three-dimensional weld pool geometry, especially the weld height, is not only a crucial factor in determining workpiece mechanical properties, but also an important parameter for reflecting the penetration. A new three-dimensional (3D) model is established to describe the weld pool geometry in P-GMAW. Then, a series of algorithms are developed to extract the model geometrical parameters from the weld pool images. Furthermore, the method to reconstruct the 3 D shape of weld pool boundary and weld bead from the two-dimensional images is investigated. 相似文献
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In order to discover characteristics of various kinds of weld pool image and identify a single image,seven image features are extracted to describe the corresponding surface formation quality by the mo... 相似文献
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It is difficult to acquire satisfied weld pool image by CCD sensor during gas metal arc welding(GMAW), for arc disturbs violently, welding current is great and working frequeacy is high. By using CMOS vision sensor to GMA W process, the vivid weld pool image is collected at any time, furthermore, whose gray compression ratio is controllable by sensor hardware circuit developed. Acquired weld pool image is firstly pre-processed by using Wiener filter and Ostu threshold segmentation algorithm. Subsequently separation between weld pool intage and cathode mist region is conducted by means of mathematical morphological algorithm, and the edge of weld pool image is extracted by using Prewitt algorithm. 相似文献
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针对熔化极气体保护电弧(gas metal arc,GMA)增材制造(additive manufacturing,AM)图像感知,提出一种透红外熔池视觉传感方法. 为客观评价熔池图像质量,综合图像灰度、纹理、形状和频谱等四类特征定义了熔池图像质量评价参数φ. 结果表明,φ值越大,图像质量越好. 透红外熔池图像质量评价参数φ远大于近红外窄带熔池图像,熔池更清晰,对比度更高. 相比800,850和930 nm等透红外滤光片,990 nm透红外滤光片能过滤大部分电弧连续谱和特征谱,获得的熔池信息量最大,对比度更明显,边缘更清晰,细节信息更丰富,熔池图像质量最佳,是最佳取像窗口. 相似文献
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In manual welding process, skilled welders can adjust the welding parameters to ensure the weld quality through their observation of the weld pool surface. In order to acquire useful information of the weld pool for control of the welding process and realizing the automatic welding, the measurement system of DB-GMA W process was established and the weld pool image was obtained by passive vision. Then, three image processing algorithms, Sobel, Canny, and pulse coupled neural network (PCNN) were detailed and applied to extracting the edge of the DB-GMA weld pool. In addition, a scheme was proposed for calculating the length, maximum width and superficial area of the weld pool under different welding conditions. The compared results show that the PCNN algorithm can be used for extracting the edge of the weld pool and the obtained information is more useful and accurate. The calculated results coincide with the actual measurement well, which demonstrates that the proposed algorithm is effective, its imaging processing time is required only 20 ms, which can completely meet the requirement of real-time control. 相似文献