Predicting and Evaluating Decoring Behavior of Inorganically Bound Sand Cores, Using XGBoost and Artificial Neural Networks

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Document type:: Zeitschriftenaufsatz
Author(s):: Dobmeier, Fabian ; Li, Rui ; Ettemeyer, Florian ; Mariadass, Melvin ; Lechner, Philipp ; Volk, Wolfram ; Günther, Daniel
Title:: Predicting and Evaluating Decoring Behavior of Inorganically Bound Sand Cores, Using XGBoost and Artificial Neural Networks
Keywords:: Article ; casting technology ; inorganically bound sand cores ; decoring behavior ; artificial neural networks ; XGBoost ; SHAP
Journal title:: Applied Sciences
Year:: 2023
Journal volume:: 13
Journal issue:: 13
Fulltext / DOI:: doi:10.3390/app13137948
Publisher:: MDPI
E-ISSN:: 2076-3417
Date of publication:: 06.07.2023
CC license:: by, https://creativecommons.org/licenses/by/4.0

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