Prediction of corrosion susceptibilities of Al-based metal matrix composites reinforced with SiC particles using artificial neural network

Remzi Tuntas; Burak Dikici

doi:10.1177/0021998314565430

Prediction of corrosion susceptibilities of Al-based metal matrix composites reinforced with SiC particles using artificial neural network

Journal of Composite Materials ◽

10.1177/0021998314565430 ◽

2014 ◽

Vol 49 (27) ◽

pp. 3431-3438 ◽

Cited By ~ 3

Author(s):

Remzi Tuntas ◽

Burak Dikici

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Metal Matrix ◽

Matrix Composites ◽

Sic Particles ◽

Artificial Neural

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Artificial neural network prediction of the wear rate of powder metallurgy Al/Al2O3 metal matrix composites

Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications ◽

10.1177/1464420711426531 ◽

2011 ◽

Vol 226 (1) ◽

pp. 3-15 ◽

Cited By ~ 1

Author(s):

T S Mahmoud

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Powder Metallurgy ◽

Wear Rate ◽

Metal Matrix Composites ◽

Metal Matrix ◽

Matrix Composites ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural

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Estimation of Circularity, Cylindricity and Surface Roughness in Drilling Al-Si 3 N 4 Metal Matrix Composites Using Artificial Neural Network

Procedia Materials Science ◽

10.1016/j.mspro.2014.07.208 ◽

2014 ◽

Vol 6 ◽

pp. 1780-1787 ◽

Cited By ~ 5

Author(s):

B.M. Umesh Gowda ◽

H.V. Ravindra ◽

M. Ullas ◽

G.V. Naveen Prakash ◽

G. Ugrasen

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Metal Matrix ◽

Matrix Composites ◽

Artificial Neural

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Artificial Neural Network Prediction On Wear Of Al6061 Alloy Metal Matrix Composites Reinforced With -Al2o3

Materials Today Proceedings ◽

10.1016/j.matpr.2018.02.093 ◽

2018 ◽

Vol 5 (5) ◽

pp. 11268-11276 ◽

Cited By ~ 1

Author(s):

G.B. Veeresh Kumar ◽

R. Pramod ◽

C.S.P. Rao ◽

P.S. Shivakumar Gouda

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Metal Matrix ◽

Matrix Composites ◽

Neural Network Prediction ◽

Network Prediction ◽

Al6061 Alloy ◽

Artificial Neural ◽

Alloy Metal

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Modelling of turning parameters of Al-Cu/TiB2 in-situ metal matrix composites using artificial neural network

International Journal of Advanced Operations Management ◽

10.1504/ijaom.2012.049913 ◽

2012 ◽

Vol 4 (4) ◽

pp. 272

Author(s):

P. Senthil ◽

T. Selvaraj ◽

S. Vinodh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Metal Matrix ◽

Matrix Composites ◽

Artificial Neural

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Modeling capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base metal matrix composites

Composites Science and Technology ◽

10.1016/s0266-3538(02)00176-8 ◽

2003 ◽

Vol 63 (1) ◽

pp. 63-67 ◽

Cited By ~ 25

Author(s):

I Jalham

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Base Metal ◽

Hot Deformation ◽

Metal Matrix ◽

Matrix Composites ◽

Deformation Parameters ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Optimization of wear parameters of aluminium hybrid metal matrix composites by squeeze casting using Taguchi and artificial neural network

Sustainable Manufacturing and Design ◽

10.1016/b978-0-12-822124-2.00010-x ◽

2021 ◽

pp. 223-234

Author(s):

L. Natrayan ◽

M. Senthil Kumar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Metal Matrix ◽

Squeeze Casting ◽

Matrix Composites ◽

Hybrid Metal Matrix Composites ◽

Artificial Neural

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Strengths prediction of particulate reinforced metal matrix composites (PRMMCs) using direct method and artificial neural network

Composite Structures ◽

10.1016/j.compstruct.2019.110951 ◽

2019 ◽

Vol 223 ◽

pp. 110951 ◽

Cited By ~ 6

Author(s):

Geng Chen ◽

Heyuan Wang ◽

Alexander Bezold ◽

Christoph Broeckmann ◽

Dieter Weichert ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Metal Matrix ◽

Direct Method ◽

Matrix Composites ◽

Artificial Neural ◽

Particulate Reinforced

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Investigation on Wear Behaviour of Al6061-Al2o3-Graphite Hybrid Metal Matrix Composites using Artificial Neural Network

International Journal of Current Engineering and Technology ◽

10.14741/ijcet/spl.2.2014.66 ◽

2010 ◽

Vol 2 (2) ◽

pp. 363-367

Author(s):

P. Maheswaran

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Metal Matrix ◽

Wear Behaviour ◽

Matrix Composites ◽

Hybrid Metal Matrix Composites ◽

Artificial Neural

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Artificial Neural Network Modeling for Predicting Surface Roughness in End Milling of Al-SiCp Metal Matrix Composites and Its Evaluation

Journal of Applied Sciences ◽

10.3923/jas.2012.955.962 ◽

2012 ◽

Vol 12 (10) ◽

pp. 955-962 ◽

Cited By ~ 8

Author(s):

D. Devarasidd ◽

M. Chandrasek ◽

Amitava Mandal

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Artificial Neural Network ◽

Metal Matrix Composites ◽

Metal Matrix ◽

End Milling ◽

Network Modeling ◽

Neural Network Modeling ◽

Matrix Composites ◽

Artificial Neural Network Modeling

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VALIDATION OF ARTIFICIAL NEURAL NETWORK MODEL FOR PREDICTION OF CUTTING FORCE AND SURFACE ROUGHNESS OF AL/ SIC METAL MATRIX COMPOSITES

International Journal of Advance Engineering and Research Development ◽

10.21090/ijaerd.me042 ◽

2017 ◽

Vol 4 (04) ◽

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Artificial Neural Network ◽

Cutting Force ◽

Metal Matrix Composites ◽

Network Model ◽

Neural Network Model ◽

Metal Matrix ◽

Artificial Neural Network Model ◽

Matrix Composites

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