Paper Title :Regression Vs Neuro-Fuzzy Model: A Comparison For Residual Stress, Surface Roughness, Tool Wear During Hard Turning
Author :Sanjeev Saini
Article Citation :Sanjeev Saini ,
(2015 ) " Regression Vs Neuro-Fuzzy Model: A Comparison For Residual Stress, Surface Roughness, Tool Wear During Hard Turning " ,
International Journal of Advances in Mechanical and Civil Engineering (IJAMCE) ,
pp. 12-17,
Volume-2, Issue-5
Abstract : This paper presents the experimental investigation of machining hot work tool steel (AISI H11) with ceramic
tools. This work has been performed in order to quantify the effect of various cutting parameters i.e. cutting speed, feed,
depth of cut and nose radius on residual stress, surface roughness and tool wear. Two models have been proposed, the first
model is regression based and the second one is adaptive neuro-fuzzy inference system based. The results obtained by both
the models are compared with the actual experimental results and presented.
Keywords - Adaptive Neuro-Fuzzy Inference System (ANFIS), Regression, Residual Stress, Surface Roughness, Tool
Wear, Hard Turning
Type : Research paper
Published : Volume-2, Issue-5
DOIONLINE NO - IJAMCE-IRAJ-DOIONLINE-3123
View Here
Copyright: © Institute of Research and Journals
|
|
| |
|
PDF |
| |
Viewed - 66 |
| |
Published on 2015-10-13 |
|