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Optimizing the Powder Metallurgy Parameters to Enhance the ..:
Sally Elkatatny
;
Mohammed F. Alsharekh
;
Abdulrahman I. Alateyah
...
Materials Science and Engineering. , 2023
Link:
https://doi.org/10.3390/app13137483
RT Journal T1
Optimizing the Powder Metallurgy Parameters to Enhance the Mechanical Properties of Al-4Cu/xAl2O3 Composites Using Machine Learning and Response Surface Approaches
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2076-3417_13_13_7483_&Exemplar=1&LAN=DE A1 Sally Elkatatny A1 Mohammed F. Alsharekh A1 Abdulrahman I. Alateyah A1 Samar El-Sanabary A1 Ahmed Nassef A1 Mokhtar Kamel A1 Majed O. Alawad A1 Amal BaQais A1 Waleed H. El-Garaihy A1 Hanan Kouta PB Multidisciplinary Digital Publishing Institute YR 2023 K1 aluminum matrix composites (AMCs) K1 machine learning (ML) K1 genetic algorithm (GA) K1 response surface method (RSM) K1 powder metallurgy (PM) K1 Al-Cu alloy JF Materials Science and Engineering LK http://dx.doi.org/https://doi.org/10.3390/app13137483 DO https://doi.org/10.3390/app13137483 SF ELIB - SuUB Bremen
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