A Neural-Network-Based Simulated Model for Controlling Electrical Furnace Using Silicon Carbide Heating Elements
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 i...
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| Format: | Article |
| Language: | English |
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University of Anbar
2012-12-01
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| Series: | مجلة جامعة الانبار للعلوم الصرفة |
| Subjects: | |
| Online Access: | https://juaps.uoanbar.edu.iq/article_63235_972b3f2f0493eb88bf5fcfd7e2db921a.pdf |
| Summary: | 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. |
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| ISSN: | 1991-8941 2706-6703 |