Department of Nuclear Engineering

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About Department of Nuclear Engineering

Facts about Department of Nuclear Engineering

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Academic Staff





Who works at the Department of Nuclear Engineering

Department of Nuclear Engineering has more than 13 academic staff members

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Prof.Dr. Abdurazak Mohamed Sadek El-megrab

Abdurazak El-megrab is one of the staff members at the department of 9 faculty of 2. He is working as a professor . He teaches several subjects in his major and has several puplications in the field of his interest.


Some of publications in Department of Nuclear Engineering

Modeling and simulation of fast reactor power plant with study of neural network control

The subject of modeling and simulation is considered to be as one of the effective scientific tools for understanding system behaviors as well as testing and verifying of new control methods. In this paper. We modeled a nuclear power plant with sodium cooled fast reactor. The physical modeling considers; reactor core, heat exchangers, steam drums, preheaters, piping, pums, and valves. We simulated the plant through the control rod movements, as well as, cases of flow changes through valves opening and closure, and pumps being on and off. Most of the industrial complexes base their control methods on the well known PID - controllers. However, many of them are developing high interest in using modern control approaches. The nuclear industry, on the other hand, still cautious even with the availability of large theoretical studies which are performed by researchers that try to convince atomic authorities to transfer such studies which are performed by researchers that try to convince atomic authorities to transfer such studies to practical applications. In this work, we made study on the control of a nuclear reactor using neural network control. Such method has the advantage of not requiring a knowledge concise model of plant under investigation, it is the same advantage that is making PID- controllers quite famous and very suited for many control applications. Our complete work is developed in a computer package written in C-language. The package is developed with user friendly interface both in arabic and in english helps the user to browse freely through three phases, namely, preprocessor, simulation and control, and postprocessor for cross graphing analysis. Such package can be used as a tool for either a computer aide training CAT, or for computer aide learning CAL.  
Wajdi Mohamed Ratemi, Othman A. Awin, O.A.Ohaib(12-1996)
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Multi-lingual Translation of The Mathematical Secrets of Pascal's Triangle

This is a ed.Ted lesson translated by amara to 25 languages about the secrets of Pascal's triangle
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Evaluation of vertebral fracture assessment images for the detection of abdominal aortic calcification

Dual-energy x-ray absorptiometry (DXA) is an established modality for the assessment of bone mineral density. DXA has also been used for the detection of abdominal aortic calcification (AAC) using lateral images taken for vertebral fracture assessment (VFA). In this phantom study, the capability of VFA for the detection of AAC was investigated. A Perspex phantom of variable width in the range 15-30 cm was used to simulate abdominal soft tissue. Aluminium strips of thickness 0.05-2.0 mm were sandwiched between two halves of the phantom to mimic aortic calcification. VFA images of the phantom were acquired in single-energy mode and analysed by placing regions of interest over the aluminium strip and an adjacent area of Perspex. For each phantom width, the minimum detectable aluminium thickness was assessed visually and related to contrast-to-noise ratio (CNR). Linearity of pixel value with aluminium thickness was tested by linear regression and correlation. Repeatability was measured with five repeated scans for selected phantom configurations. The minimum thickness of aluminium that could be visualised increased with phantom width and varied from 0.05 mm at 15 cm Perspex to 0.5 mm at 30 cm Perspex; the CNR threshold was about 0.03. At all phantom widths, the variation of pixel value with aluminium thickness was strongly linear (r²>0.98, p
Karima Elmasri, William David Evans, Yulia Hicks(6-2017)
Publisher's website

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