A Neural-Network-Based Simulated Model for Controlling Electrical Furnace Using Silicon Carbide Heating Elements

M. Ali, Suhail

doi:10.37652/juaps.2012.63235

Document Type : Research Paper

Author

Suhail M. Ali

Al-anbar University - College of Computer

10.37652/juaps.2012.63235

Abstract

is obvious that Artificial Neural Networks (ANN) is a successful method for system control and simulating nonlinear loads. This paper suggests an ANN model that can simulate the effects of nonlinear Temperature –Resistance characteristic of Silicon Carbide (Sic) load which used as heating elements in the recent electrical furnaces. Moreover, the paper proves that the proposed ANN control model is efficient to aid a conventional control so as keep the power density on the work piece at nearly constant level that is demanded during the heating curing process of the electrical furnace.

Keywords

Main Subjects

Computer

References

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Journal of University of Anbar for Pure Science

A Neural-Network-Based Simulated Model for Controlling Electrical Furnace Using Silicon Carbide Heating Elements

References

References

Volume 6, Issue 2
August 2012
Page 34-40

A Neural-Network-Based Simulated Model for Controlling Electrical Furnace Using Silicon Carbide Heating Elements

References

References

Volume 6, Issue 2August 2012Page 34-40

Volume 6, Issue 2
August 2012
Page 34-40