This work targeted the development of a framework for optimizing cutting conditions by
integrating Machine Learning–Multi-Objective Optimization–Multi-Criteria Decision-Making …

Emerging novel composites fabricated from aluminium alloys incorporating high strength
and fracture-resistant ceramics with multi-walled carbon nanotubes (MWCNTs) are used …

Hastelloy C276 alloys are renowned for their exceptional tool-work interaction, high-
temperature strength, and toughness. Despite their widespread use, machining these alloys …

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 …

Despite their superior mechanical properties, titanium alloys cause excessive temperatures
in turning operations due to their low thermal conductivity. This situation reduces workpiece …

The present study analyzes and optimizes machining characteristics, including feed rate (fz),
depth of cut (ap), cutting speed (Vc), cutter-coated material (Mtc) and cutting-edge radius (rt) …

The purpose of this research is to investigate the ease of machining of AISI 9260 steel,
mainly focusing on the quality of the surface roughness (SR), flank wear (FW), material …

A quaternary, lead free electroless Ni-B-Cu-Sn coating was obtained using experimental
design, artificial neural network and genetic algorithm based on higher hardness and …

Small-batch workpieces in smart manufacturing demand process parameter modeling, but
existing models lack analysis across varying sample sizes and runtime conditions. This …

This study is devoted to the development of an Adaptive-Neuro-Fuzzy-Inference-System
(ANFIS) model for the prediction of ultimate load of rectangular concrete-filled steel tubular …