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  1. Book Series

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    Chapter and Conference Paper

    Visual Sensing for Environments Recognizing and Welding Tracking Technology in Intelligent Robotic Welding: A Review

    Intelligent welding robots can perceive changes in the welding process and achieve control over welding quality through various sensing methods. Among these, visual sensors have become the most promising due t...

    Runquan **ao, Zhen Hou, **gyuan Xu in Transactions on Intelligent Welding Manufa… (2024)

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    Book and Conference Proceedings

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    Chapter and Conference Paper

    Feature Extraction and Classification Recognition of Molten Pool in Multi-layer and Multi-pass Welding of Medium and Thick Plates

    Multi-Layer and Multi-Pass Welding (MLMPW) for medium thick plates is widely used in fields such as marine engineering, nuclear welding, and high-speed rail welding. The implementation of feature extraction an...

    Zhanying Xue, Hao Zhou, Runquan **ao in Transactions on Intelligent Welding Manufa… (2024)

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    Chapter and Conference Paper

    Prediction of Penetration Based on Feature Fusion of IR and CCD Images During Pulsed GTAW Process

    Aiming at improving the recognition accuracy and robustness of the penetration state recognition model, a Coordination-Corrected-Mask-LCC-based (CCML-based) model with the input of original infrared thermal (I...

    Rui Jiang, Runquan **ao, Yuqing Xu in Transactions on Intelligent Welding Manufa… (2024)

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    Book and Conference Proceedings

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    Book and Conference Proceedings

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    Chapter and Conference Paper

    Multi-information Sensing and Monitoring Experimental System of Intelligentized Welding Manufacturing Process

    With the development of industry 4.0 mode, new communication technologies, Internet of things (IoT) technology, are bringing unprecedented changes to the welding industry [14]. It is of great importance to imple...

    Liu Qiang, Chen Chao, Shanben Chen in Transactions on Intelligent Welding Manufacturing (2023)

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    Article

    An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system

    Visual sensor plays an important part in intelligentized welding systems, and the calibration of the vision sensor is the indispensable part of visual systems. Aiming at the problem of the tedious calibration ...

    Runquan **ao, Yanling Xu, Zhen Hou, Chao Chen in Journal of Intelligent Manufacturing (2022)

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    Article

    Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning

    WAAM has been proven a promising alternative to fabricate medium and large scale metal parts with a high depositing rate and automation level. However, the production quality may deteriorate due to the poor de...

    Chunyang **a, Zengxi Pan, Joseph Polden, Huijun Li in Journal of Intelligent Manufacturing (2022)

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    Article

    Influences of weaving parameters on dynamic characteristics and stability control of the droplet transfer in arc-weaving P-GMAW process

    The dynamic characteristics of droplet transfer are extremely complicated with the combined effects of gravity force and weaving motion during the weaving vertical-up welding on thick plate. In this paper, we ...

    Di Wu, Yuxi Chen, Huabin Chen, Shanben Chen in The International Journal of Advanced Manu… (2022)

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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...

    Hao Zhou, Yinshui He, Huabin Chen in Transactions on Intelligent Welding Manufa… (2022)

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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...

    Zhen Hou, Yanling Xu, Runquan **ao in Transactions on Intelligent Welding Manufa… (2021)

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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...

    Zisheng Jiang, Chao Chen, Shanben Chen in Transactions on Intelligent Welding Manufa… (2021)

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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...

    Chengyu Tao, Na Lv, Shanben Chen in Transactions on Intelligent Welding Manufacturing (2021)

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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...

    Feng**g Xu, Runquan **ao, Zhen Hou in Transactions on Intelligent Welding Manufa… (2021)

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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 ...

    YiLei Luo, Chao Chen, ZiSheng Jiang in Transactions on Intelligent Welding Manufa… (2021)

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    Article

    Wire and arc additive manufacturing of metal components: a review of recent research developments

    Wire arc additive manufacturing (WAAM) is an important metal 3D printing method, which has many advantages, such as rapid deposition rate, low cost, and suitability for large complex metal components manufactu...

    Jienan Liu, Yanling Xu, Yu Ge, Zhen Hou in The International Journal of Advanced Manu… (2020)

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    Article

    Model-free adaptive iterative learning control of melt pool width in wire arc additive manufacturing

    Wire arc additive manufacturing (WAAM) is a Direct Energy Deposition (DED) technology, which utilize electrical arc as heat source to deposit metal material bead by bead to make up the final component. However...

    Chunyang **a, Zengxi Pan, Shiyu Zhang in The International Journal of Advanced Manu… (2020)

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