Paper Title:
Flank Wear Modeling in High Speed Hard Turning by Using Artificial Neural Network and Regression Analysis
  Abstract

Predicting and modeling flank wear length in high speed hard turning by using ceramic cutting tools with negative rake angle was conducted using two different techniques. Regression model is developed by using design of expert 7.1.6 and neural network technique model was built by using matlab2009b. A set of experimental data for high speed hard turning of hardened AISI 4340 steel was obtained with different cutting speeds, feed rate and negative rake angle. Flank wear length was measured to train the neural network models and to develop mathematical model by using regression analysis. Predictive neural network models are found to be capable of better predictions tool flank wear within the range that they had been trained.

  Info
Periodical
Advanced Materials Research (Volumes 264-265)
Edited by
M.S.J. Hashmi, S. Mridha and S. Naher
Pages
1097-1101
DOI
10.4028/www.scientific.net/AMR.264-265.1097
Citation
M. H.F. Al Hazza, E. Y. T. Adesta, "Flank Wear Modeling in High Speed Hard Turning by Using Artificial Neural Network and Regression Analysis", Advanced Materials Research, Vols. 264-265, pp. 1097-1101, 2011
Online since
June 2011
Export
Price
$35.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Erry Yulian Triblas Adesta, Muataz H.F. Al Hazza
Abstract:The present work studies some aspects of turning process applied on mild steel using cermets tools at high speed cutting (1000mm/min) by...
1009
Authors: Chakaravarthy Ezilarasan, Ke Zhu, A Velayudham, K. Palanikumar
Materials Machining
Abstract:Nimonic C-263 alloy is extensively used in the field of like aerospace, power generators and heat exchangers due to its higher thermal...
794
Authors: Yun Hai Jia
Mechanical Behavior & Fracture
Abstract:High deformation hardening, low thermal conductivity, high built-up edge tendency of austenitic stainless steels were the main factors that...
1020
Authors: M. Durairaj, S. Gowri
Chapter 6: Precision Engineering and Nanotechnology
Abstract:Micro turning is a process by which micro components can be produced. This paper deals with the CNC micro turning of Inconel 600 alloy with...
548
Authors: A.K.M. Nurul Amin, Siti Aminatuzzuhriyah B. Haji Subir, Muammer Din Arif
Chapter 2: Conventional Technologies of Processing in Mechanical Engineering
Abstract:Tool wear, especially flank wear, is a major concern in the manufacturing industry. Increased tool wear is caused by chatter and leads to...
117