Wire arc additive manufacturing from the perspective of remanufacturing: A review of data processing

Wire arc additive manufacturing (WAAM) is highly suitable for low-cost and high-efficiency repair of large damaged components as a low energy consumption and sustainable manufacturing technology. Using WAAM for components repair or remanufacturing can not only prolong the service life of components...

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Bibliographic Details
Published in:Journal of manufacturing processes 2023-12, Vol.107, p.385-410
Main Authors: Du, Xinwei, Shen, Yonghua, Zhao, Wenyong, Chen, Jicheng, Liu, Renpei, Wei, Yanhong
Format: Article
Language:English
Subjects:
Motion planning
Point cloud processing
Remanufacturing
Slicing
Wire arc additive manufacturing
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Summary:Wire arc additive manufacturing (WAAM) is highly suitable for low-cost and high-efficiency repair of large damaged components as a low energy consumption and sustainable manufacturing technology. Using WAAM for components repair or remanufacturing can not only prolong the service life of components and reduce manufacturing costs, but also significantly save limited resources and energy. Data model processing is one of the critical issues in the WAAM or remanufacturing process chain, since the repairing quality of the final components depends heavily on it. However, the remanufacturing requirements of complex structures and high-performance components present great challenges to data processing systems. Currently, the automation and robustness of the data processing systems limit further development and application of WAAM. Despite the extensive investigation of WAAM technology by researchers, there is a lack of review on WAAM for repairing and remanufacturing damaged components. Moreover, the key data processing techniques involved in remanufacturing, such as model reverse reconstruction, collision detection, and posture adjustment, have yet to be widely discussed. This paper outlines the technological principle and process of WAAM-based remanufacturing. The algorithms adopted in data processing are summarized, including point cloud processing, model slicing and motion planning. The broad application prospects are discussed in combination with the typical application cases. Finally, the future development direction is prospected.
ISSN:1526-6125
2212-4616
DOI:10.1016/j.jmapro.2023.10.019