Wood-plastic composites (WPCs) have attracted widespread attention all over the world.
However, due to the combined characteristics of wood and thermoplastic in WPCs, the …

Wheel and rail wear is a significant issue in railway systems. Accurate prediction of this wear
can improve economy, ride comfort, prevention of derailment and planning of maintenance …

Surface roughness prediction models using artificial neural network (ANN) are developed to
investigate the effects of cutting conditions during turning of free machining steel …

In the present study, artificial neural network (ANN) and regression model were developed
to predict surface roughness in abrasive waterjet machining (AWJ) process. In the …

The anisotropy and nonuniformity of wood-plastic composites (WPCs) affect the milling tool,
which rapidly wears during high-speed milling of WPCs. Thus, the evolution mechanism of …

ABSTRACT ARTICLEINFO This paper shows the possibility of applying artificial intelligence
methods in milling, as one of the most common machining operations. The main goal of the …

Machining of carbon fiber-reinforced polymer (CFRP) is a rather hard task due to the
inhomogeneity and anisotropy of this material. Several defects occur in the material when …

The present work establishes a correlation between the laser transmission welding
parameters and output variables though a nonlinear model, developed by applying artificial …

In the present work, two different types of artificial neural network (ANN) architectures viz.
back propagation neural network (BPNN) and radial basis function network (RBFN) have …

Drilling is one of the machining processes, which used to make a hole on component face.
Recent developments in the drilling operation showed a new trends in the hole …