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Anas M. Abdelrahman
Researcher at Huazhong University of Science and Technology
Publications - 21
Citations - 251
Anas M. Abdelrahman is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Chemistry & Engineering. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.
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Effect of combined air cooling and nano enhanced phase change materials on thermal management of lithium-ion batteries
Ali E. Anqi,Changhe Li,Hayder A. Dhahad,Kamal Sharma,El-Awady Attia,Anas M. Abdelrahman,Azheen Ghafour Mohammed,Sagr Alamri,Ali Al Rajhi +8 more
TL;DR: In this paper , the thermal management of a lithium-ion battery (LINB) cell in three dimensions was described, where two circular and oval chambers were placed around the LINB.
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Computational assessment of hybrid nanofluid flow with the influence of hall current and chemical reaction over a slender stretching surface
Samia Elattar,Maha M. Helmi,Mohamed Abdelghany Elkotb,M. A. El-Shorbagy,Anas M. Abdelrahman,Muhammad Bilal,Aatif Ali +6 more
TL;DR: In this article , a computational model is established for the purpose to amplify the energy communication rate and enhance the productivity and performance of thermal energy propagation for several industrial and biological purposes, which is expressed as a system of PDEs.
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Boosted microwave absorption properties of CoFe2O4 with extraordinary 3D morphologies
Peng Jiang,Qiang Xu,Ngo Nguyet Tran,Ahmed El-Shafay,V. Mohanavel,Anas M. Abdelrahman,M. Ravichandran +6 more
TL;DR: In this paper , the microwave performance of CoFe 2 O 4 was significantly improved with the reflection loss (RL) of M2 of −40 dB and achieved an ultra-wide effective absorption bandwidth (EAB) of 13 and 12.5 GHz, respectively.
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Modeling and optimization of vegetable oil biodiesel production with heterogeneous nano catalytic process: Multi-layer perceptron, decision regression tree, and K-Nearest Neighbor methods
Xue-jin Sun,Maria Jade Catalan Opulencia,Taranenko Pavel Alexandrovich,Afrasyab Khan,Mohammed Algarni,Anas M. Abdelrahman +5 more
TL;DR: In this paper , a machine learning approach based on the K-Nearest Neighbor (KNN) regression, Decision Regression Tree (DT), and Multi-layer perceptron (MLP) was used to predict biodiesel production yield from soybean oil through transesterification process as a function of molar ratio of methanol to oil and catalyst loading (wt%).
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Morphological, Physical, and Mechanical Properties of Sugar-Palm (Arenga pinnata (Wurmb) Merr.)-Reinforced Silicone Rubber Biocomposites
Siti Humairah Kamarul Bahrain,Nik Masdek,Jamaluddin Mahmud,M. N. Mohammed,S.M. Sapuan,R.A. Ilyas,Abdullahi Ali Mohamed,Mohamed A. Shamseldin,Anas M. Abdelrahman,M. R. M. Asyraf +9 more
TL;DR: In this article , the development of environmentally benign silicone composites from sugar palm fibre and silicone rubber was carried out in a study where the mechanical, physical, and morphological properties of the composites with sugar palm (SP) filler contents ranging from 0% to 16% by weight (wt%) were investigated.