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A hybrid driven approach to integrate surrogate model and Bayesian framework for the prediction of machining errors of thin-walled parts
Sun, Hao, Peng, Fangyu, Zhou, Lin, Yan, Rong, Zhao, ShengqiangVolume:
192
Journal:
International Journal of Mechanical Sciences
DOI:
10.1016/j.ijmecsci.2020.106111
Date:
February, 2021
File:
PDF, 4.56 MB
2021