Add to ORKGArtificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical properties duralumin (Al-4 %Cu). The results showed that the hardness, yield strength, and ultimate tensile strength increased, while the energy absorbed and percentage elongation decreased, with increasing %wt of Chromium dopants. Simulation results of ANN show strong agreement with experimental values, having satisfactory R-values of Mean Square Error. ANN can suitably be used to predict the mechanical properties of Al-4%Cu doped with Chromium
In this study, the feed-forward (FF) neural networks (NNs) with back-propagation (BP) learning algor...
A lot of experiments must be conducted in order to find an appropriate technology for the calculatio...
Artificial Neural Network (ANN) approach was used for predicting and analyzing the mechanical proper...
Artificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical p...
Aluminium matrix composites (AMCs) are range of advanced engineering materials used for a wide range...
ANN (Artificial Neural Networks) modeling methodology was adopted for predicting mechanical propert...
Artificial Neural network is a field of man-made intelligence that is able to undertake design predi...
AbstractArtificial Neural Networks (ANNs) are excellent tools for prediction of complex processes th...
WOS: 000299981200008In this study, the effect of aging heat treatment on the hardness of AA 2024 and...
In this study, the effect of aging heat treatment on the hardness of AA 2024 and AA 6063 aluminum al...
Aluminum alloys have gained significant industrial importance being involved in many of the light an...
In present study, Artificial Neural Network (ANN) approach to prediction of the ODS Magnesium matrix...
In the present study, the mechanical properties of copper (Cu) powder-filled low-density polyethylen...
AbstractThe mechanical properties of aluminium alloy castings, such as EL%, YS and UTS, are controll...
Lightweight materials are in constant progress due to the new requirements of mobility. At the same ...
In this study, the feed-forward (FF) neural networks (NNs) with back-propagation (BP) learning algor...
A lot of experiments must be conducted in order to find an appropriate technology for the calculatio...
Artificial Neural Network (ANN) approach was used for predicting and analyzing the mechanical proper...
Artificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical p...
Aluminium matrix composites (AMCs) are range of advanced engineering materials used for a wide range...
ANN (Artificial Neural Networks) modeling methodology was adopted for predicting mechanical propert...
Artificial Neural network is a field of man-made intelligence that is able to undertake design predi...
AbstractArtificial Neural Networks (ANNs) are excellent tools for prediction of complex processes th...
WOS: 000299981200008In this study, the effect of aging heat treatment on the hardness of AA 2024 and...
In this study, the effect of aging heat treatment on the hardness of AA 2024 and AA 6063 aluminum al...
Aluminum alloys have gained significant industrial importance being involved in many of the light an...
In present study, Artificial Neural Network (ANN) approach to prediction of the ODS Magnesium matrix...
In the present study, the mechanical properties of copper (Cu) powder-filled low-density polyethylen...
AbstractThe mechanical properties of aluminium alloy castings, such as EL%, YS and UTS, are controll...
Lightweight materials are in constant progress due to the new requirements of mobility. At the same ...
In this study, the feed-forward (FF) neural networks (NNs) with back-propagation (BP) learning algor...
A lot of experiments must be conducted in order to find an appropriate technology for the calculatio...
Artificial Neural Network (ANN) approach was used for predicting and analyzing the mechanical proper...