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1 Ergebnisse
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Analysis and prediction of shrinkage cavity defects of a la..:
Wang, Menghan
;
Du, Menglong
;
Li, Songlin
.
The International Journal of Advanced Manufacturing Technology. 127 (2023) 5-6 - p. 2723-2735 , 2023
Link:
https://doi.org/10.1007/s00170-023-11634-4
RT Journal T1 <Title>Analysis and prediction of shrinkage cavity defects of a large stepped shaft in open-die composite extrusion based on machine learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00170-023-11634-4&Exemplar=1&LAN=DE A1 Wang, Menghan A1 Du, Menglong A1 Li, Songlin A1 Wang, ZhouTian PB Springer Science and Business Media LLC YR 2023 SN 0268-3768 SN 1433-3015 JF The International Journal of Advanced Manufacturing Technology VO 127 IS 5-6 SP 2723 OP 2735 LK http://dx.doi.org/https://doi.org/10.1007/s00170-023-11634-4 DO https://doi.org/10.1007/s00170-023-11634-4 SF ELIB - SuUB Bremen
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