Effect of reinforcement concentration on the properties of hot extruded Al-Al2O3 composites synthesized through microwave sintering process
In this study, Aluminum matrix composite reinforced with 5, 10 and 15 vol% Al 2 O 3 particles
were fabricated using microwave assisted rapid sintering technique followed by hot …
were fabricated using microwave assisted rapid sintering technique followed by hot …
[PDF][PDF] Applications of soft computing techniques in materials engineering: A review
OA Odejobi, LE Umoru - African Journal of Mathematics and …, 2009 - academicjournals.org
Within the last two decades, a substantial amount of research efforts has been directed at
the application of Soft Computing (SC) techniques in engineering. This paper provides a …
the application of Soft Computing (SC) techniques in engineering. This paper provides a …
Role of grain size and oxide dispersion nanoparticles on the hot deformation behavior of AA6063: Experimental and artificial neural network modeling investigations
The hot deformation behavior of coarse-grained (CG), ultrafine-grained (UFG), and oxide
dispersion-strengthened (ODS) AA6063 is experimentally recognized though carrying out …
dispersion-strengthened (ODS) AA6063 is experimentally recognized though carrying out …
Modeling of constitutive relationship of Ti–25V–15Cr–0.2 Si alloy during hot deformation process by fuzzy-neural network
Y Han, W Zeng, Y Zhao, X Zhang, Y Sun, X Ma - Materials & Design, 2010 - Elsevier
In this paper, an adaptive fuzzy-neural network model has been established to model the
constitutive relationship of Ti–25V–15Cr–0.2 Si alloy during high temperature deformation …
constitutive relationship of Ti–25V–15Cr–0.2 Si alloy during high temperature deformation …
[PDF][PDF] Modelling of microhardness values by means of artificial neural networks of Al/SiCp metal matrix composite material couples processed with diffusion method
M Taşkın, U Çalıgülü - Mathematical and Computational …, 2006 - researchgate.net
In this study, modelling of microhardness values by means of artificial neural networks of
Al/SiCp metal matrix composite material couples with diffusion method and manufactured by …
Al/SiCp metal matrix composite material couples with diffusion method and manufactured by …
Al Matrisli Kompozitlere ANFIS, ANN ve Taguchi Yaklaşımları Uygulanarak Özelliklerin Karşılaştırılması
Metal matris kompozitler havacılık, savunma sanayii, otomobiller ve diğer önemli yapısal
uygulamalar gibi çeşitli alanlarda yaygın olarak kullanılmaktadır. Alüminyum ve alaşımları …
uygulamalar gibi çeşitli alanlarda yaygın olarak kullanılmaktadır. Alüminyum ve alaşımları …
Prediction of static globularization of Ti-17 alloy with starting lamellar microstructure during heat treatment
J Xu, W Zeng, Z Jia, X Sun, J Zhou - Computational materials science, 2014 - Elsevier
Isothermal forging experiments of Ti-17 alloy with starting lamellar microstructure were
conducted on 2000T hydropress. Materials were deformed to the height reductions of 20 …
conducted on 2000T hydropress. Materials were deformed to the height reductions of 20 …
Aluminium based composites strengthened with metallic amorphous phase or ceramic (Al2O3) particles
A Kukuła-Kurzyniec, J Dutkiewicz, A Góral, C Coddet… - Materials & Design, 2014 - Elsevier
Two methods were used to obtain amorphous aluminium alloy powder: gas atomization and
melt spinning. The sprayed powder contained only a small amount of the amorphous phase …
melt spinning. The sprayed powder contained only a small amount of the amorphous phase …
Effect of silicon carbide volume fraction on the hot workability of 7075 aluminium-based metal–matrix composites
M Rajamuthamil Selvan, S Ramanathan - The International Journal of …, 2013 - Springer
The hot deformation behaviour and microstructure evolution of stir cast 7075Al alloy and
7075Al alloy with 10, 15 and 20% volume fraction of 20 μm SiCp composites have been …
7075Al alloy with 10, 15 and 20% volume fraction of 20 μm SiCp composites have been …
Application of neural networks for selection of steel grade with required hardenability
This paper presents the application of artificial neural network for the selection of steels'
grades with a required hardenability. The purpose has been achieved in two stages. In the …
grades with a required hardenability. The purpose has been achieved in two stages. In the …