Data-driven XGBoost model for maximum stress prediction of additive manufactured lattice structures
Data-driven XGBoost model for maximum stress prediction of additive manufactured lattice structures
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Full title
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Publisher
Cham: Springer International Publishing
Journal title
Language
English
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Publisher
Cham: Springer International Publishing
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Scope and Contents
Contents
Lattice structures created using additive manufacturing technology inevitably produce inherent defects that seriously affect their mechanical properties. Predicting and analysing the effect of defects on the maximum stress is very important for improving the lattice structure design and process. This study mainly used the finite element method to c...
Alternative Titles
Full title
Data-driven XGBoost model for maximum stress prediction of additive manufactured lattice structures
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2d3d812bb60147ee93f42e34fe811124
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d3d812bb60147ee93f42e34fe811124
Other Identifiers
ISSN
2199-4536
E-ISSN
2198-6053
DOI
10.1007/s40747-023-01061-z
