Abstract Industry 4.0 and 5.0 have led to the extensive implementation of Artificial
Intelligence (AI) and Machine Learning (ML). AI and ML signify a significant breakthrough in …

This article presents a comprehensive review of the state-of-the-art advancements in
applying artificial intelligence (AI) techniques, especially machine learning and deep …

The present article examines the effects of machining parameters on machined surfaces to
determine optimum turning parameters for AISI-316 under dry machining environment. L27 …

The machinability of high-performance materials such as superalloys, composites, and
hardened steel has been a big challenge due to their mechanical, physical, and chemical …

The internal gear power honing process is increasingly used in the gear machining of
electric vehicles due to superior tooth surface quality. Most of the existing work only …

The increasing demand for high-speed machine tools has elicited the widespread adoption
of specially designed spindles that incorporate built-in motors and ball bearings. To ensure …

This study introduces a novel two-stage optimization framework to enhance the
sustainability of machining processes. The framework combines multi-objective optimization …

Ultra-precision turning is a crucial process in the manufacturing industry as it helps to
produce parts with high dimensional accuracy, surface finish, and tolerance. The process is …

Objectives: To optimize the process parameters in dry turning of hardened 20MnCr5 using a
PVD coated insert to minimize surface roughness and power consumption and maximize …

In the era of Industry 5.0, where smart systems and individual consumer needs are
paramount, this study addresses the critical issue of precision product manufacturing …