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

    safaa kadhim Khalida Kadhim Mansor Mohanad Qusay Abbood

Anbar Journal of Engineering Sciences, 2022, Volume 13, Issue 2, Pages 106-113
10.37649/aengs.2022.176364

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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:
    Surface Roughness electrical discharge Artificial Neural Network Model
Main Subjects:
  • Mechanical Engineering
  • Petrochemical Engineering
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(2022). Prediction of Surface Quality in Electrical Discharge Machining Process for 7024 AL Alloy Using Artificial Neural Network Model. Anbar Journal of Engineering Sciences, 13(2), 106-113. doi: 10.37649/aengs.2022.176364
safaa kadhim; Khalida Kadhim Mansor; Mohanad Qusay Abbood. "Prediction of Surface Quality in Electrical Discharge Machining Process for 7024 AL Alloy Using Artificial Neural Network Model". Anbar Journal of Engineering Sciences, 13, 2, 2022, 106-113. doi: 10.37649/aengs.2022.176364
(2022). 'Prediction of Surface Quality in Electrical Discharge Machining Process for 7024 AL Alloy Using Artificial Neural Network Model', Anbar Journal of Engineering Sciences, 13(2), pp. 106-113. doi: 10.37649/aengs.2022.176364
Prediction of Surface Quality in Electrical Discharge Machining Process for 7024 AL Alloy Using Artificial Neural Network Model. Anbar Journal of Engineering Sciences, 2022; 13(2): 106-113. doi: 10.37649/aengs.2022.176364
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