Integrating Grey Relation Analysis and Artificial Neural Networks for Optimal Machining of Tungsten Carbide Composite Using Hybrid Electrochemical Discharge
Integrating Grey Relation Analysis and Artificial Neural Networks for Optimal Machining of Tungsten Carbide Composite Using Hybrid Electrochemical Discharge

Vian N. Najm; Tahseen F. Abbas; Shukry H. Aghdeab

Volume 41, Issue 12 , December 2023, , Page 1594-1610

https://doi.org/10.30684/etj.2023.143347.1581

Abstract
  Hybrid Electrochemical Discharge Machining (ECDM) streamlines the manufacturing process for challenging materials. Tungsten carbide (WC) is widely recognized as a formidable material ...  Read More ...
Intelligent controller Design based on wind-solar system
Intelligent controller Design based on wind-solar system

Areeg F. Hussein; Hanan A. R. Akkar

Volume 39, 2A , February 2021, , Page 326-337

https://doi.org/10.30684/etj.v39i2A.1761

Abstract
  This paper presents an Intelligent controller designed to mastery the output power flow from the Solar System, the Wind system, the sum of the two systems or from the battery system, ...  Read More ...
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 ...
Fault Diagnosis in Wind Power System Based on Intelligent Techniques
Fault Diagnosis in Wind Power System Based on Intelligent Techniques

Kanaan A. Jalal; Lubna A. Abd alameer

Volume 36, 11A , November 2018, , Page 1201-1207

https://doi.org/10.30684/etj.36.11A.11

Abstract
  Wind energy is one of the most important sources as well as being environmentally friendly and sustainable. In this paper, different types of faults of Doubly-Fed Induction Generator ...  Read More ...