Optimisation of machining parameters is crucial to ensure higher productivity and optimum
outcomes in machining processes. By optimising machining parameters, a particular …

This study investigated the AISI 1040 steel turning in dry environment with four cutting
inserts of different corner radii coated by CVD method. Experimental investigations were …

This work focusses on turning of hardened material which has rockwell hardness of C scale
ranging from 45 to 70. Oil Hardened Non-Shrinking Die Steel (OHNS) finds its application in …

In the present work, a new hybrid approach combining particle swarm optimization (PSO)
algorithm with recurrent dynamic neural network (RDNN), which is described as PSO-RDNN …

In this work, the integration of surface texturing and extended self-lubrication for machining
grey cast iron materials is made for a hassle-free and toxic-free working environment for …

Multi-objective optimization requires computing the best trade-off between two or more
conflicting objectives. The present study applies multi-objective optimization technique to the …

This paper proposes multiple performances optimization methodology for computer
numerical controlled (CNC) machining based on Taguchi method, multi-criteria decision …

The intelligent manufacturing devotes considerable effort to towards machining process.
This phenomenon is engendered by the growing demand for advanced machining process …

Because a complete part cannot be made in a single piece, any material must be machined.
For this study, Al6061 T6 was chosen as the base material while the filler chosen was …

Surface finish and temperature rise are the crucial machining outcomes since it determines
the quality of the machining and the tool life. During machining operations, choosing optimal …