Optimization of cutting Parameters and Prediction of Ra & MRR for machining of P20 Steel on CNC milling using Artificial Neural Networks

MV Vardhan, G Sankaraiah, M Yohan - Materials Today: Proceedings, 2018‏ - Elsevier
In this paper an attempt is made to predict Material Removal Rate and Surface roughness in
CNC milling of P20 steel using Artificial Neural Networks (ANN). Taguchi's L50 orthogonal …

[PDF][PDF] Optimization of process parameters in CNC milling for machining P20 steel using NSGA-II

MV Vardhan, G Sankaraiah… - IOSR Journal of …, 2017‏ - researchgate.net
In milling process achieving optimal machining condition to enhance the machining
efficiency is a complex task. In view of this, the present work proposes an experimental …

Experimental and comparative study on material effect of vortex tube on the cold outlet air temperature

G Sankaraiah, GS Kumar, VS Kumar… - AIP conference …, 2019‏ - pubs.aip.org
The Vortex tube is used for various applications like cooling of the equipments in CNC
machines, refrigerators, cooling suits etc. This study converses the application of Taguchi …

Effect of process parameters on power consumption in machining of P20 steel in CNC milling

MV Vardhan, G Sankaraiah… - … Conference on Energy …, 2017‏ - ieeexplore.ieee.org
In this paper, the effect of different process parameters on power consumption during
machining of P20 steel in CNC milling machine is investigated and optimize the process …