Transactions on Intelligent Welding Manufacturing
Volume IV No. 1 2020
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69 Result(s)
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Chapter and Conference Paper
MLD Classification Model of Visual Features of Multi-layer and Multi-pass Molten Pool During Robotic MAG Welding of Medium-Thick Steel Plates
Molten pool image segmentation and feature extraction based on vision sensor is one of the core tasks of robotic automated welding. The Geodesic active contour model (GAC) method is used for the molten pool im...
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Book and Conference Proceedings
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Chapter and Conference Paper
A Weld Bead Profile Extraction Method Based on Scanning Monocular Stereo Vision for Multi-layer Multi-pass Welding on Mid-thick Plate
In the shipbuilding and marine industry, multi-layer multi-pass welding (MLMPW) on mid-thick plate plays an important role, but most of the actual production is still completed by manual welding. It is a big c...
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Chapter and Conference Paper
Convolutional Neural Network Prediction of Aluminum Alloy GTAW Penetration Process Based on Arc Sound Sensing
Aluminum alloy is a metal material that is widely used in industry. Gas Tungsten Arc Welding (GTAW) is a common welding method for aluminum alloy welding, which has advantages of good welding quality, strong a...
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Chapter and Conference Paper
Binocular Stereo Vision and Modified DBSCAN on Point Clouds for Single Leaf Segmentation
Nowadays, the task of segmenting individual leaves is essential in some specific computer vision applications, for instance the recognition and localization of plant leaves in agricultural robotic applications...
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Chapter and Conference Paper
Multi-layer Multi-pass Welding of Medium Thickness Plate: Technologies, Advances and Future Prospects
Multi-layer multi-pass (MLMP) welding of medium thickness plate is always the focus and difficulty of research and application. It is widely used in shipbuilding and pressure vessel manufacturing. This paper s...
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Chapter and Conference Paper
Identification and Penetration Prediction of Aluminum Alloy GTAW Pool Based on Network Vision Monitoring
Weld penetration states detection based on welding pool image in Tungsten Inert Gas Welding (TIG) has been a hot research topic in industry and academia. In this paper, a prediction model of the melt width on ...
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Book
Key Technologies of Intelligentized Welding Manufacturing
The Spectral Diagnosis Technology for Pulsed Gas Tungsten Arc Welding of Aluminum Alloys
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Chapter
Multi-source Information Fusion Between Welding Arc Sound and Other Welding Dynamic Processes
As welding is a highly nonlinear and time-varying complicated thermal process accompanied by strong current and intense emission of sound, arc light and heat, the single sensor applied in the above reports can...
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Chapter
Summary and Conclusions
The arc sound signal had been studied for many years. The research scope is ranging from mechanism to control system. The SJTU have been doing a lot of works about the online welding quality monitoring. Many f...
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Chapter and Conference Paper
Mask R-CNN-Based Welding Image Object Detection and Dynamic Modelling for WAAM
As a new emerging technology, wire arc additive manufacturing (WAAM) has attracted extensive interests from both academia and industry during recent years. WAAM uses welding arc as an energy source to fuse met...
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Chapter
Multi-source Information of Arc Welding Dynamic Process
The research on intelligent and automatic welding process information monitoring has been getting more concern, within the rise of intelligent manufacturing industry. The important step for the realization of ...
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Chapter
Feature Extraction and Analysis of Arc Sound Signal with Dynamic Welding Process
The welding arc acoustic signal is similar to the vibration signal. Different types of feature extraction and analysis can be carried out according to the collection method. As the audible sound was chosen for...
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Chapter
Prediction Model Establishment Based on Arc Sound Feature Array
In order to accurately identify the different penetration states, the prediction model should be set up via the multi-dimensional feature of arc sound signal. The artificial neural network model is built based...
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Chapter
Real-Time Control of Welding Penetration via Arc Sound Signal for GTAW Welding
The arc acoustic signal of pulsed argon tungsten arc welding is closely related to the penetration state of welding process, and is also closely related to various welding dynamic changes. The rule can be obta...
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Chapter
Conclusions
In order to solve the problem of porosity generated in TIG welding process of aluminum alloys, this paper discussed the formation mechanism of hydrogen porosity, and put forward the method for on-line detectio...
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Chapter
Acoustic Mechanism and Arc Sound Source Modeling for GTAW Welding
In order to achieve the detection of welding defects, it is necessary to analyze the mechanism of sound source generation. The welding arc sound generation can be divided into two parts: one is a semi-transpar...
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Chapter
Channel Generation Mechanism and Modeling for Arc Sound Signal During GTAW
According to the amplified figure shown in Fig. 4.1, the pulse characteristic of the pulse GTAW leads to pulse-like arc sound signals. From the figure, it can be seen that the positive arc sound pressure is la...
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Chapter
Relationship Modeling Between Weld Pool Collapse and Welding Penetration Based on Analyzing Arc Sound Features
A lot of research has been conducted on the relationship between acoustic signal and welding process. However, most of them are focused on extracting penetration feature and weld quality of acoustic signal. Th...
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Chapter
Microphone Array Technology in Welding Dynamic Process Monitoring
Many researches have been performed in acoustic sensor; however, arc sound of welding itself is a complex feature. It is hard to identify the pure sound signal to achieve utilizing control-based acoustic signa...
