Machine learning based track height prediction for complex tool paths in direct metal deposition

CIRP Annals - Tập 71 - Trang 193-196 - 2022
Daniel Knüttel1,2, Stefano Baraldo3, Anna Valente3, Friedrich Bleicher4, Konrad Wegener2, Emanuele Carpanzano3
1Intelligent Production Machines, Inspire AG, Via la Santa 1, Viganello 6962, Switzerland
2ETH Zürich, IWF - Institute for Machine Tools and Manufacturing, Leonhardstrasse 21, Zurich 8092, Switzerland
3SUPSI, Department of Innovative Technologies, Via la Santa 1, Viganello 6962, Switzerland
4Institute for Production Engineering and Laser Technology (IFT), Technical University of Vienna, Vienna, Austria

Tài liệu tham khảo

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