Zobrazeno 1 - 10
of 37
pro vyhledávání: '"A.W. Abdallah"'
Autor:
Hossein Ahmadian, Tianfeng Zhou, Mohamed Abd Elaziz, Mohammed Azmi Al-Betar, A.M. Sadoun, I.M.R Najjar, A.W. Abdallah, A. Fathy, Qian Yu
Publikováno v:
Alexandria Engineering Journal, Vol 84, Iss , Pp 285-300 (2023)
In this study, Mg-Ti-SiC composite powders with varied micron and nano silicon carbide (SiC) particle sizes were fabricated utilizing the ball milling technology at various milling times. The effect of reinforcement particles sizes and milling time o
Externí odkaz:
https://doaj.org/article/9fb39c8a742c4645816e4d4bc23e8b12
Publikováno v:
Case Studies in Thermal Engineering, Vol 52, Iss , Pp 103823- (2023)
In the realm of thermal management for electronic systems, the efficacy of heat dissipation serves as a major predictor of the reliability and operational lifespan of electronic components. Simultaneously, within the realm of geothermal energy utiliz
Externí odkaz:
https://doaj.org/article/2740d1d926f04197af6184917026430f
Autor:
Ghazi S. Alsoruji, A.M. Sadoun, Mohamed Abd Elaziz, Mohammed Azmi Al-Betar, A.W. Abdallah, A. Fathy
Publikováno v:
Journal of Materials Research and Technology, Vol 23, Iss , Pp 4075-4088 (2023)
Mechanical properties of fine grain nanocomposites differ from those of conventional composites due to the in situ effect caused by the addition of nanoparticle reinforcement and the complexity of strengthening mechanisms, which make their prediction
Externí odkaz:
https://doaj.org/article/cdd16fc98f2a418d99fb665987866313
Autor:
A.M. Sadoun, I.M.R. Najjar, A. Fathy, Mohamed Abd Elaziz, Mohammed A.A. Al-qaness, A.W. Abdallah, M. Elmahdy
Publikováno v:
Alexandria Engineering Journal, Vol 65, Iss , Pp 809-823 (2023)
Due to the lack of analytical solutions for the wear rates prediction of nanocomposites, we present a modified machine learning method named Dendritic Neural (DN) to predict the wear performance of copper-alumina (Cu-Al2O3) nanocomposites that have l
Externí odkaz:
https://doaj.org/article/f88bcc1393494748800992560924fe37
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 11005-11018 (2022)
In this study, an optimized artificial intelligence model is developed to predict the kerf quality characteristics in laser cutting of basalt fibers reinforced polymer composites. The model is composed of Long Short-Term Memory (LSTM) and Chimp Optim
Externí odkaz:
https://doaj.org/article/c428d3bde41f46eca8abbc7b4400c997
Publikováno v:
Journal of Asian Ceramic Societies, Vol 8, Iss 4, Pp 1228-1238 (2020)
This study aims to detect the positive effects of alumina coating by silver on the mechanical and tribological characteristics such as hardness and wear resistance of Al2O3 reinforced copper matrix nanocomposites. 2.5, 5, 7.5, and 10% wt. of alumina
Externí odkaz:
https://doaj.org/article/e44f2d2b583b4da59474f513d72ecd23
Publikováno v:
Ceramics International. 47:29598-29606
A hybrid nanocomposite comprising nanosized ZrO2 and graphene nanoplatelet (GNP)-reinforced Cu matrix was synthesised via powder metallurgy. The influence of sintering temperature and GNP content on the electrical and mechanical behaviour of the Cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::299b7b3c6bf80aeff8a73ea551f5f5e7
https://doi.org/10.1016/j.ceramint.2021.07.129
https://doi.org/10.1016/j.ceramint.2021.07.129
Akademický článek
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Akademický článek
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Publikováno v:
Materials Chemistry and Physics. 266:124562
Electro-less deposition synthesized Al2O3 nanoparticles coated Ag with different weight percent (0, 2.5, 5, 7.5 and 10) were mixed with pure Cu powder to manufacture Cu–Al2O3 nanocomposite through powder metallurgy route. The effect of Al2O3 coated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3699882de0713882a8cf445d3d33824f
https://doi.org/10.1016/j.matchemphys.2021.124562
https://doi.org/10.1016/j.matchemphys.2021.124562