Zobrazeno 1 - 10
of 56
pro vyhledávání: '"M. Elhadary"'
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 4, Pp 2769-2774 (2022)
Extrinsic non-autonomic self-healing of composite material is elucidated in two cases of crack, one of them has bridging phenomena which has been created during sample formation and the other has normal crack without bridging. Experiments for mode I
Externí odkaz:
https://doaj.org/article/ec4183aed5ec46d9a8be65f7a58d26f2
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 6, Pp 4947-4960 (2021)
Recently, glass fiber reinforced polypropylene is commonly used in scientific and industrial applications such as marine, aerospace, automotive, and construction industries among other materials because of their low cost, lightweight, easy processing
Externí odkaz:
https://doaj.org/article/21b0d7ea99aa44ff8193d010aea0c99a
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 4, Pp 4167-4175 (2021)
Outdoor applications of polymers are increasing rapidly. So, the ability of polymers to withstand environmental degradation became very important for many researchers. The effect of artificial weathering and hardening on the stability of high-density
Externí odkaz:
https://doaj.org/article/71d8bc7ba60a43c2a500e6592e44b8f6
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 1, Pp 209-216 (2020)
The effect of fiber length and fiber volume fraction at different crosshead speeds on the mechanical properties and toughness of randomly oriented glass fibers reinforced polyurethane elastomer composites were studied using standard simple tension te
Externí odkaz:
https://doaj.org/article/5b16941dc4db4bd1a93ef7d5efc27266
Publikováno v:
Alexandria Engineering Journal, Vol 58, Iss 4, Pp 1367-1374 (2019)
Artificial Neural Networks (ANNs) are reliable and computationally inexpensive compared to numerical methods such as CFD simulations and experimental investigations in aerodynamics research. In this article, an Artificial Neural Network (ANN) has bee
Externí odkaz:
https://doaj.org/article/b682815b3d19444f8bd238982a3160e2
Autor:
Hassan A. Babikir, Mohamed Abd Elaziz, Ammar H. Elsheikh, Ezzat A. Showaib, M. Elhadary, Defa Wu, Yinshui Liu
Publikováno v:
Alexandria Engineering Journal, Vol 58, Iss 3, Pp 1077-1087 (2019)
In this paper, an alternative method to predict the noise of a submersible Axial Piston Pump (APP) for different valve seat materials is presented. The proposed method is composed of an Artificial Neural Network (ANN) model trained using experimental
Externí odkaz:
https://doaj.org/article/56a41159bad24eb7afe6d368171ce332
Publikováno v:
Alexandria Engineering Journal, Vol 57, Iss 4, Pp 3755-3766 (2018)
The investigation of a crack in a cantilever beam is very imperative in various mechanical applications such as turbo machinery impeller blades, propeller shafts and airplane wings. As a result, a full study is performed in this paper to investigate
Externí odkaz:
https://doaj.org/article/a84330325e054d5a9f5f4e88406eeff7
Fracture toughness is the ability of the material to resist crack growth. The effect of cross-head speed, initial crack length, and quenching on the fracture toughness of high-density polyethylene (HDPE) is investigated in this research, the results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a08e16407026c03c76c29b63faf69c5c
https://doi.org/10.21203/rs.3.rs-2827119/v1
https://doi.org/10.21203/rs.3.rs-2827119/v1
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 4, Pp 2769-2774 (2022)
Extrinsic non-autonomic self-healing of composite material is elucidated in two cases of crack, one of them has bridging phenomena which has been created during sample formation and the other has normal crack without bridging. Experiments for mode I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b828ea63c0684ce61d816b967808abc
https://doi.org/10.1016/j.aej.2021.08.002
https://doi.org/10.1016/j.aej.2021.08.002
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