Optimization of Process Parameters in Turning Operation of AISI-1016 Alloy Steels with CBN Using Artificial Neural Networks
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 5, Issue 6
Abstract
We report the development of a predictive model based on artificial neural network (ANN) for the estimation of Surface roughness of AISI-1016 during orthogonal turning with CBN insert tool. Turning experiments were conducted at different cutting conditions on a PSG-A141 conventional lathe using CBN uncoated insert as tool with ISO designations SNMG - 120408 and AISI-1016 as work piece using full factorial design. Cutting speed (v), feed rate (f), depth of cut (d), were the input parameters of the machining experiment as well as the ANN prediction model while the Surface roughness (Ra) was the output variable. The neural networks with feed-forward and back-propagation learning algorithms were designed using the MATLAB Neural Network Toolbox. An optimal ANN architecture with the Levenberg-Marquardt training algorithm and a learning rate of 0.1 was obtained using Taguchi method of experimental design. With the optimized ANN architecture, parametric study was conducted to relate the effect of each turning parameters on the surface roughness.The results obtained conclude that ANN is reliable method and it can be readily applied to different metal cutting processes with greater confidence.
Authors and Affiliations
K. Mani lavanya , R. K. Suresh , A. Sushil Kumar Priya , G. Krishnaiah
Keywords
Related Articles
- EP ID EP146755
- DOI -
- Views 110
- Downloads 0
Survey on VM Placement Algorithms
In cloud computing, there are many strategies used for virtual machine (VM) placement. Objectives for VM placement are to reduce the number of physical machines required, VM allocation time and to reduce resource and pow...
Design, Modeling and Analysis of Helical Gear According Bending Strength Using AGMA and ANSYS
there are two kinds of stresses in gear teeth, root bending stresses and tooth contact stresses. These two stresses results in the failure of gear teeth, root bending stress results in fatigue fracture and contact stress...
Development on Gas Leak Detection and Location System Based on Wireless Sensor Networks: A Review
Gas leakage detection and monitoring may cause heavy economic :losses and serious environmental pollution, through wireless sensor network is considered to be more economical for industries gas leakage. Main purpose of t...
Investigation of the Anomalous Dry Berth Track Corrosion
Severe corrosion rates were observed in a relatively new track rail system used in Dubai Maritime City. Similar track system in a nearby location, Gaddaf, with similar temperature and humidity profile did not exhibit sim...
Assessment of Basaltic Aggregate and Stone Chips In Indian Context
The producing useful shape of stone the various stone wastes are coming out from the various processes in stone industries. From the preliminary waste named as stone chips, due to minimum cost it is taken out t...