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Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network
Joint Authors
Sadighzadeh, A.
Salehizadeh, A.
Mohammadzadeh, M.
Shama, F.
Setayeshi, S.
Feghhi, S. A. H.
Sadati, S. M.
Rezaei, M.
Haji Ebrahimi, E.
Roshani, G. H.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-15
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Artificial neural network (ANN) is applied to predict the number of produced neutrons from IR-IECF device in wide discharge current and voltage ranges.
Experimentally, discharge current from 20 to 100 mA had been tuned by deuterium gas pressure and cathode voltage had been changed from −20 to −82 kV (maximum voltage of the used supply).
The maximum neutron production rate (NPR) of 1.46 × 107 n/s had occurred when the voltage was −82 kV and the discharge current was 48 mA.
The back-propagation algorithm is used for training of the proposed multilayer perceptron (MLP) neural network structure.
The obtained results show that the proposed ANN model has achieved good agreement with the experimental data.
Results show that NPR of 1.855 × 108 n/s can be achieved in voltage and current of 125 kV and 45 mA, respectively.
This prediction shows 52% increment in maximum voltage of power supply.
Also, the optimum discharge current can increase 1270% NPR.
American Psychological Association (APA)
Sadighzadeh, A.& Salehizadeh, A.& Mohammadzadeh, M.& Shama, F.& Setayeshi, S.& Feghhi, S. A. H.…[et al.]. 2014. Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network. Journal of Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1040441
Modern Language Association (MLA)
Sadighzadeh, A.…[et al.]. Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network. Journal of Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1040441
American Medical Association (AMA)
Sadighzadeh, A.& Salehizadeh, A.& Mohammadzadeh, M.& Shama, F.& Setayeshi, S.& Feghhi, S. A. H.…[et al.]. Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network. Journal of Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1040441
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040441