Prediction of Surface Roughness of Mild Steel Alloy in CNC Milling Process Using ANN and GA Technique
Prediction of Surface Roughness of Mild Steel Alloy in CNC Milling Process Using ANN and GA Technique

Hind H. Abdulridha

Volume 38, 12A , December 2020, , Page 1842-1851

https://doi.org/10.30684/etj.v38i12A.1579

Abstract
  In this paper, Analysis Of Variance (ANOVA), Artificial Neural Network (ANN), and Genetic Algorithm (GA) have been studied to predict the effect of milling parameters on the Surface ...  Read More ...
Prediction the Influence of Machining Parameters for CNC Turning of Aluminum Alloy Using RSM and ANN
Prediction the Influence of Machining Parameters for CNC Turning of Aluminum Alloy Using RSM and ANN

Hind H. Abdulridha; Aseel J. Helael; Ahmed A. Al-duroobi

Volume 38, 6A , June 2020, , Page 887-895

https://doi.org/10.30684/etj.v38i6A.705

Abstract
  The main objective of this paper is to develop a prediction model using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) for the turning process of Aluminum alloy ...  Read More ...