Add to ORKGMetal matrix composites (MMC) having aluminium (Al) in the matrix phase and silicon carbide particles (SiCp) in reinforcement phase, ie Al‐SiCp type MMC, have gained popularity in the re‐cent past. In this competitive age, manufacturing industries strive to produce superior quality products at reasonable price. This is possible by achieving higher productivity while performing machining at optimum combinations of process variables. The low weight and high strength MMC are found suitable for variety of componentsCUSATAdvances in production engineering and management,vol 9 no 2,pp 59-7
In this study, modelling of microhardness values by means of artificial neural networks of Al/SiCp m...
This project reviews literature on the applications of Machine Learning (ML) in the development of M...
This study introduces the improvement of mathematical and predictive models of surface roughness par...
AbstractAn artificial neural network model of ‘Feed Forward Back Propagation’ type is developed for ...
This article presents development of an Artificial Neural Networks (ANN) based model for the predict...
Aluminium matrix composites (AMCs) are range of advanced engineering materials used for a wide range...
In today’s developing aircraft and automotive industry, extremely durable and wear-resistant materia...
Surface roughness (Ra) is one of the most common responses in machining and an effective parameter t...
ANN (Artificial Neural Networks) modeling methodology was adopted for predicting mechanical propert...
End milling process is one of the common metal cutting operations used for machining parts in manufa...
Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their rapid machinabi...
The important goal in the modern industries is to manufacture the products with lower cost and with ...
The important goal in the modern industries is to manufacture the products with lower cost and with ...
In this study, an artificial neural network approach was employed to predict the effect of B4C size,...
Abstract A neural network (ANN) model was developed to predict the abrasive wear behavior of AA2024 ...
In this study, modelling of microhardness values by means of artificial neural networks of Al/SiCp m...
This project reviews literature on the applications of Machine Learning (ML) in the development of M...
This study introduces the improvement of mathematical and predictive models of surface roughness par...
AbstractAn artificial neural network model of ‘Feed Forward Back Propagation’ type is developed for ...
This article presents development of an Artificial Neural Networks (ANN) based model for the predict...
Aluminium matrix composites (AMCs) are range of advanced engineering materials used for a wide range...
In today’s developing aircraft and automotive industry, extremely durable and wear-resistant materia...
Surface roughness (Ra) is one of the most common responses in machining and an effective parameter t...
ANN (Artificial Neural Networks) modeling methodology was adopted for predicting mechanical propert...
End milling process is one of the common metal cutting operations used for machining parts in manufa...
Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their rapid machinabi...
The important goal in the modern industries is to manufacture the products with lower cost and with ...
The important goal in the modern industries is to manufacture the products with lower cost and with ...
In this study, an artificial neural network approach was employed to predict the effect of B4C size,...
Abstract A neural network (ANN) model was developed to predict the abrasive wear behavior of AA2024 ...
In this study, modelling of microhardness values by means of artificial neural networks of Al/SiCp m...
This project reviews literature on the applications of Machine Learning (ML) in the development of M...
This study introduces the improvement of mathematical and predictive models of surface roughness par...