@inproceedings{f6d67108ba774915bb9da4853d57ae40,
title = "A failure feature identification method for adaptive remanufacturing",
abstract = "Accurate and efficient identification of failure features of returned used mechanical components/parts is the prerequisite for adaptive remanufacturing. However, due to part-to-part variation, it is error-prone and ad-hoc to manual inspect each part with various defects. This paper proposes a failure feature identification method for adaptive remanufacturing. An innovative identification algorithm is developed to quickly identify the failure features which integrates point-clouds generation, fine-registration and Boolean calculation. For the identified features, hybrid tool path for adaptive remanufacturing can be generated automatically. A turbine blade is taken as an example to demonstrate the efficiency and reliability of the proposed method.",
keywords = "Adaptive remanufacturing, Failure feature, Hybrid tool path, Identification, Point-clouds",
author = "Y. He and C. Hao and Y. Li and M.K. Lim and Y. Wang",
year = "2020",
month = aug,
day = "6",
doi = "10.1016/j.procir.2020.02.131",
language = "English",
volume = "90",
series = "Procedia CIRP",
publisher = "Elsevier",
pages = "552--556",
booktitle = "Procedia CIRP",
}
