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Statistics report
Dec. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 49
Paper Published : 1001
No. of Authors : 2679
  Journal Paper


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


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