Electrical discharge machining (EDM) is a widely used non-conventional machining
technique in manufacturing industries, capable of accurately machining electrically …

River flow modeling is essential for critical aspects such as effective water management and
structure planning, together with flood and drought analysis. There has been a growing …

A neural network model based on a chaotic particle swarm optimization (CPSO) radial basis
function-back propagation (RBF-BP) neural network was suggested to improve the accuracy …

The structure integrity of reactor pressure vessels (RPV) plays an important role in the safety
of nuclear power plants, which mainly concerns the risk of sealing failure. In the present …

Wireless Local Area Networks (WLANs) have become an increasingly popular mode of
communication and networking, with a wide range of applications in various fields. However …

This work is an attempt to predict tool wear for turning EN24 material by the hybrid Taguchi-
ANN (Taguchi-Artificial Neural Network) method. The objective is to minimize the tool wear …

The demands in the present automotive industry need an effective braking mechanism for
controlling the vehicle at varying speeds and pressures. In this study, bronze fiber-reinforced …

In the realm of welding production, optimizing parameters for enhanced quality and
efficiency remains a challenge. This study introduces a novel approach using ABAQUS for …

Screening is an important step in the preparation of machine made sand, and the screening
performance of the screening machine is the key to improving the production efficiency and …

Increasing demand for high-performance materials has led to the exploration of composite
materials for enhanced mechanical properties. In this study, a composite of silicon carbide …