Topic
Butt welding
About: Butt welding is a research topic. Over the lifetime, 7153 publications have been published within this topic receiving 44467 citations.
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TL;DR: In this paper, Butt welding of low carbon steel with aluminum 5052 alloy is performed with the use of three different tools, and the weld joints obtained from various tools were compared based on heat generation.
51 citations
TL;DR: In this paper, the dissimilar welding of nickel based 690 alloy and SUS 304L stainless steel using two alternative Inconel filler metals, namely, 82 (I-82) and 52 (I−52), was investigated.
Abstract: The object of the present work is to research the dissimilar welding of nickel based 690 alloy and SUS 304L stainless steel using two alternative Inconel filler metals, namely, 82 (I–82) and 52 (I–52). Gas tungsten arc welding with identical parameters and procedures was used to carry out single V groove butt welding with six passes in four layers on nickel based alloy 690 and 304L stainless steel. Mechanical and corrosion resistance tests were performed. Metallographical, fractographical, and compositional analysis were used to study filler metal dissimilarities. Mechanical tests show that the I–82 weldment, owing to its denser dendrites and formation of abundant niobium enriched precipitates, has a higher strength and hardness than the I–52 weldment. Rupture occurred in the alloy 690 base metal. In comparison, the I–52 weldment, with coarse dendrites and no niobium enriched precipitates, exhibits superior corrosion resistance to the I–82 weldment but has a lower tensile strength and ruptured in ...
51 citations
TL;DR: Experimental results showed that the local thresholding approach has managed to fulfill the research objective in detecting, identifying and locating the butt welding joint position in the three different scenarios.
Abstract: Manual detection and identification of butt weld joints through welding image in real-time by human observation is subjective in nature, requires experience and can be biased at times. Furthermore, since that most of the welding robots application are programmed by teach and play means that they need to be reprogrammed each time they deal with new task. This is time consuming, plus welding parameters also need to be refined for every new program. Hence, this research aims to tackle the aforementioned issues by suggesting an alternative method that can automatically recognize and locate the butt welding position at starting, middle, auxiliary and end point under three scenarios which are; (1) straight, (2) saw tooth and (3) curve joint. This is done without any prior knowledge of shapes involved. A new approach known as local thresholding is proposed in the segmentation process which consists of image pre-processing, noise reduction and edge region points generation for butt welding joint identification. Region points for butt welding seam path are selected by shape selection generated from contour points according to the three scenarios. Each point is located by 2D coordinates that is usually used by robot controller for path planning. Experimental results showed that the local thresholding approach has managed to fulfill the research objective in detecting, identifying and locating the butt welding joint position in the three different scenarios. When compared with other methods such as background subtraction, local thresholding narrowly loses out in terms of less mismatch error produced. However, it gives the best results in the detection of the butt welding joint edges. Besides having the advantage of the ability to perform identification without prior knowledge from an image, local thresholding also showed that it can work just fine even in the presence of imperfections such as scratches on the surface of mild steel.
51 citations
TL;DR: In this paper, an image-based visual seam tracking system is designed for butt weld of thin plate in which the torch deviation from the joint in the horizontal direction is measured from the seam image since the weld seam is so narrow, its image is based on natural lighting.
Abstract: An image-based visual seam tracking system is designed for butt weld of thin plate in this paper The torch deviation from the joint in the horizontal direction is measured from the seam image Since the weld seam is so narrow, its image is based on natural lighting Due to the hardness of measuring depth information using monocular vision, structured laser light is used for detecting the torch deviation in the vertical direction For steady seam tracking, a robust and fast feature extraction algorithm is developed Moreover, a reliable controller is designed with error filtering and output pulse verification Finally, experiments are conducted to verify the proposed seam tracking system
51 citations
TL;DR: Finch et al. as discussed by the authors used ABAQUS finite element techniques to evaluate interactions between applied and typical residual stress distributions in various geometries of welded joint and developed methods of quantifying welding residual stress effects in the defect assessment of tubular joints in offshore structures.
50 citations