Artificial neural network prediction model for the mechanical properties of the BF/AZ31B-H24 magnesium-based fiber metal laminates
Mohamed Zakaulla, Salim Sharieff
0 citations
AIP conference proceedings
Mohamed Zakaulla
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16Publications signalées
99Citations signalées
0Affiliations récentes
Les domaines associés
Aluminum Alloys Composites PropertiesAdditive Manufacturing and 3D Printing TechnologiesAdvanced ceramic materials synthesisAdvanced Machining and Optimization TechniquesTribology and Wear Analysis
Les publications récentes
PREDICTION OF FATIGUE LIFE FOR AL8090 REINFORCED WITH TITANIUM DIBORIDE AND GRAPHENE COMPOSITE.
0 citations
International Journal of Advanced Research
Optimization of mechanical properties of Al7150/Si3N4/C composites using artificial neural network
Mohamed Zakaulla, Younus Pasha
in (code pays fourni par la source)
0 citations
International Journal of Advances in Applied Sciences
Experimental Investigation on the Effect of Graphene Addition on Mechanical Properties of Al8011-T6 Based Fiber Metal Laminate
in (code pays fourni par la source)
2 citations
Archives of Metallurgy and Materials
Modeling and prediction of tribological properties of polyetheretherketone composite reinforced with graphene and titanium powder using artificial neural network
in (code pays fourni par la source)
3 citations
Elsevier eBooks
Contributors
Hooman Abbasi, Ahmed Abdala, Raouf AliAkbari, Marcelo Antunes et autres
es, qa, ir, cn, th, pk, id, in (code pays fourni par la source)
0 citations
Elsevier eBooks
Prediction of mechanical properties for polyetheretherketone composite reinforced with graphene and titanium powder using artificial neural network
Mohamed Zakaulla, Younus pasha, Shylesh kesarmadu Siddalingappa
in (code pays fourni par la source)
29 citations
Materials Today Proceedings
Artificial neural network based prediction on tribological properties of polycarbonate composites reinforced with graphene and boron carbide particle
Mohamed Zakaulla, Fathima Parveen, Amreen, Harish et autres
in (code pays fourni par la source)
42 citations
Materials Today Proceedings
Experimental Investigation and Prediction of Tribological Properties of Titanium Carbide and Multiwalled Carbon Nanotubes Reinforced Aluminium Composites using Artificial Neural Network
Mohamed Zakaulla, Anteneh Mohammed Tahir, Seid Endro, Shemelis Nesibu Wodaeneh et autres
1 citation
European Journal of Engineering and Technology Research
Experimental Investigation and Prediction of Tribological Properties of Titanium Carbide and Multiwalled Carbon Nanotubes Reinforced Aluminium Composites using Artificial Neural Network
Mohamed Zakaulla, Anteneh Mohammed Tahir, Seid Endro, Shemelis Nesibu Wodaeneh et autres
Éthiopie (code pays fourni par la source)
0 citations
European Journal of Engineering and Technology Research
Tribological characteristics of multiwalled carbon nanotubes and boron carbide particles reinforced Al2024 matrix composites
Mohamed Zakaulla, R. Arjun, Muzakkir Ahmed Khan, Izhar Hussein Khan et autres
in (code pays fourni par la source)
2 citations
Materials Today Proceedings
Chilling effect on hardness and microstructural behavior of grey iron
Syed Ahamed, S. G. Rakesh, Y. Vijaya Kumar, B. Mahboob Tabrez et autres
in (code pays fourni par la source)
0 citations
Materials Today Proceedings
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