Cover
Vol. 13 No. 2 (2022)

Published: November 1, 2022

Pages: 106-113

Research Paper

Prediction of Surface Quality in Electrical Discharge Machining Process for 7024 AL Alloy Using Artificial Neural Network Model

safaa kadhim 1 Khalida Mansor 2 Mohanad Abbood 1
1Production Engineering and Metallurgy Department, University of Technology, Baghdad, iraq
2Department of Production Engineering and Metallurgy / University of Technology / Iraq
History
  • Received: June 21, 2022
  • Revised: August 7, 2022
  • Accepted: September 13, 2022
  • Available Online: November 1, 2022
DOI

https://doi.org/10.37649/aengs.2022.176364

Abstract

In this article, an experimental study of the single-pass hybrid (PV/T) collector is conducted in the climatic conditions of Fallujah city, where the experimental results are compared with a previous research to validate the results. The effect of changing the angle of inclination of the hybrid collector (PV/T) and its effect on the electrical power in the range (20°-50°) is studied. The optimum angle of the collector is found to be 30°, which gives a maximum electrical power of 58.8 W at average solar radiation of 734.35 W/m2. In another experimental study with different air flow rates ranged from 0.04 kg/s to 0163 kg/s, where it is found that the maximum electrical power of 57.66 W at an air flow rate of 0.135 kg/s, while the maximum thermal efficiency reaches 33.53% at an air flow of 0.163 kg/s at average solar radiation of 786 W/m2.  

Keywords

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