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Abdelfattah Soliman earned his Ph.D. in nuclear engineering from Alexandria University in Egypt, a diploma in international nuclear law from Montpellier University in France, and a fellowship from the World Nuclear University in Sweden. Soliman worked as a reactor physicist, reactor operator, and reactor experimentalist at the Egyptian Second Research Reactor. He also worked as a faculty member at the Nuclear Engineering Department, King Abdulaziz University in Saudi Arabia. He conducted research in several areas, including nuclear reactor calculations, nuclear technology, modern education pedagogy, sustainability, and knowledge management. Soliman was nominated as a member of the American Nuclear Society Public Communication Committee and Accreditation Policy and Procedures Committee. He is a member of the American Society for Engineering Education and IEEE.
One year and a half after the start of the COVID-19 pandemic, it became suitable to rethink the design of the engineering education systems to remain sustainable and resilient. The paper aims to identify the most important aspects of the system, as well as the most vulnerable ones and the extent to which the system meets the sustainability requirements of the society. The Balanced Scorecard approach is used to ensure that the system remains sustainable and resilient. The indicators to measure the aspects of this design are developed. A Quality Function Deployment approach is used to identify the extent to which a designed system satisfies the sustainability requirements of the society. The problem is formulated as an engineering design problem in which the customer requirements are presented using a sustainability Triple Bottom Line framework. The results indicate that a well-designed engineering education system is capable of addressing the majority of the 17 sustainable development goals (SDGs) identified by the United Nations. The most important aspect of this system is its commitment to quality assurance and continuous improvement. Such a system is a key player to achieve the SDGs, particularly those of economic growth, quality education, good health and wellbeing, and industry innovation.
Ali Al-Bahi; Mohamed Abd-Elwahed; Abdelfattah Soliman. Implementation of Sustainability Indicators in Engineering Education Using a Combined Balanced Scorecard and Quality Function Deployment Approaches. Sustainability 2021, 13, 7083 .
AMA StyleAli Al-Bahi, Mohamed Abd-Elwahed, Abdelfattah Soliman. Implementation of Sustainability Indicators in Engineering Education Using a Combined Balanced Scorecard and Quality Function Deployment Approaches. Sustainability. 2021; 13 (13):7083.
Chicago/Turabian StyleAli Al-Bahi; Mohamed Abd-Elwahed; Abdelfattah Soliman. 2021. "Implementation of Sustainability Indicators in Engineering Education Using a Combined Balanced Scorecard and Quality Function Deployment Approaches." Sustainability 13, no. 13: 7083.
As system thinking is a recognized approach to the comprehension and realization of energy sustainability, this paper applies a holistic representation to the World Energy Trilemma Index (WETI) key indicators using Bayesian Belief Networks (BBN) to illuminate the probabilistic information of their influences in Saudi Arabia’s context. The reached realization is suggested to inform the policies to improve energy sustainability, and thus the country’s rank in the WETI. The analysis used two groups of learning cases, one used the energy statistics of the period from 1995 to 2019 to show the outlook of the Business as Usual path, and the other addressed the projected data for the period from 2018 to 2037 to investigate the expected impact of the new policies. For both BAU and new policies, the BBN calculated the improvement, stability, and declining beliefs. The most influential factors on energy sustainability performance were the electricity generation mix, CO2 emissions, energy intensity, and energy storage. Moreover, the interlinkage between the influential indicators and their causes was estimated in the new policies model. A back-casting analysis was carried out to show the changes required to drive the improvement belief to 100%. The compiled BBN can be used to support structuring policymaking and analyzing the projections’ outcomes by investigating different scenarios for improvement probabilities of energy sustainability.
Mohammed Mohammed; Abdulsalam Alhawsawi; Abdelfattah Soliman. An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability. Sustainability 2020, 13, 205 .
AMA StyleMohammed Mohammed, Abdulsalam Alhawsawi, Abdelfattah Soliman. An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability. Sustainability. 2020; 13 (1):205.
Chicago/Turabian StyleMohammed Mohammed; Abdulsalam Alhawsawi; Abdelfattah Soliman. 2020. "An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability." Sustainability 13, no. 1: 205.
In this study, COMSOL v5.2 Multiphysics software was utilized to perform coupled neutronics and thermal–hydraulics simulations of a molten salt fast reactor, and the SCALE v6.1 code package was utilized to generate the homogenized cross-section data library. The library’s 238 cross-section groups were categorized into nine groups for the simulations in this study. The results of the COMSOL model under no fuel flow conditions were verified using the SCALE v6.1 code results, and the results of the neutronics and thermal–hydraulics simulations were compared to the results of previously published studies. The results indicated that the COMSOL model that includes the cross-section library generated by the SCALE v6.1 code package is suitable for the steady-state analysis and design assessment of molten salt fast reactors. Subsequently, this model was utilized to investigate the neutronics and thermal–hydraulics behaviors of the reactor. Multiple designs were simulated and analyzed in this model, and the results indicated that even if the wall of the core is curved, hot spots occur in the upper and lower portions of the core’s center near the reflectors. A new design was proposed that utilizes a flow rate distribution system, and the simulation results of this design showed that the maximum temperature in the core was approximately 1032 K and no hot spots occurred.
D. H. Daher; M. Kotb; A. M. Khalaf; Moustafa S. El-Koliel; Abdelfattah Y. Soliman. Simulation of a molten salt fast reactor using the COMSOL Multiphysics software. Nuclear Science and Techniques 2020, 31, 1 -19.
AMA StyleD. H. Daher, M. Kotb, A. M. Khalaf, Moustafa S. El-Koliel, Abdelfattah Y. Soliman. Simulation of a molten salt fast reactor using the COMSOL Multiphysics software. Nuclear Science and Techniques. 2020; 31 (12):1-19.
Chicago/Turabian StyleD. H. Daher; M. Kotb; A. M. Khalaf; Moustafa S. El-Koliel; Abdelfattah Y. Soliman. 2020. "Simulation of a molten salt fast reactor using the COMSOL Multiphysics software." Nuclear Science and Techniques 31, no. 12: 1-19.
INTRODUCTORY PROJECT- BASED DESIGN COURSE TO MEET SOCIOECONOMIC CHALLENGESABSTRACTAn active/cooperative, introductory engineering design course is planned, implemented,assessed, and evaluated using the project-based learning approach to allow freshmanlevel students to gain professional hands-on engineering design experience. The courseproject exposes the students to important contemporary issues, and excites their interestto address them in a creative way. The students are guided to discover by themselveshow and why engineering approaches work, rather than simply providing a recipe for asolution. The open-ended design process allows the students to discover underlyingcomplex engineering and scientific principles, and provide motivation for further studyand engagement.Throughout the course the students function on effective design teams to practice guidedconceptual design, project planning, and manufacturing of the designed artifact. Thefactory based learning environment is applied during the artifact implementation. Theworkshop activities are structured to permit the students to practice the roles of qualityassurance, quality control, supervision and process planning.The course introduces engineering design practices through guided design phases andprovides the students with an opportunity to practice team work, quality principals,communication skills, life-long learning, realistic constraints, and global awareness ofcurrent domestic and global challenges. Each semester a new project is introduced in theform of a real-life design proposal prepared by an assumed customer to address onecontemporary issue. The course is carried out in an active/cooperative learningenvironment with suitable class layout integrated with a workshop that simulates a smallindustrial factory. In addition to several successive design reports and two in-classassignments, the students are required by the end of the semester to communicate, clearlyand concisely, the details of their design both orally and in writing through a functionalartifact/prototype, a design notebook, an A0 project poster, and a final oral presentation.In addition to these direct assessment tools several indirect measures are used to insuretriangulation including class feedback forms, process checks, entry and exit surveys andcourse evaluation questionnaire. Students are asked to peer assess the work of theirclassmates and to self-assess their own work before submission. Quality principles areenforced in each learning activity. Assignments are based on customer expectations andare assessed using a detailed checklist as: Exceeds expectations, Meets expectations,Acceptable, Needs Improvement, or represents No Credible Effort. Engineeringprofessionalism is enforced and lapses are used to punish any unprofessional behavior.Bonus points are used, on the other hand, to encourage top performance. End ofsemester course evaluation is based on satisfying both course learning outcomes andcourse-supported program outcomes.The course was implemented for the first time in fall 2009. The students were asked todesign a small wind turbine suitable for home use as a part of a long term design projectof smart houses of zero electricity consumption and zero emission to the environment.During the summer semester the students were asked to design a stand-alonephotovoltaic system for a small clinic situated in a natural reserve away from the nationalelectricity grid. Direct and indirect assessment tools indicated high level of achievementof course learning outcomes together with a high level of students’ self- satisfaction.
Ali M. Al-Bahi; Reda M Abdulaal; Abdelfattah Soliman; Faisal I. Iskanderani. Introductory Project-Based Design Course to Meet Socioeconomic Challenges. 2011 ASEE Annual Conference & Exposition Proceedings 2020, 22.969.1 -22.969.12.
AMA StyleAli M. Al-Bahi, Reda M Abdulaal, Abdelfattah Soliman, Faisal I. Iskanderani. Introductory Project-Based Design Course to Meet Socioeconomic Challenges. 2011 ASEE Annual Conference & Exposition Proceedings. 2020; ():22.969.1-22.969.12.
Chicago/Turabian StyleAli M. Al-Bahi; Reda M Abdulaal; Abdelfattah Soliman; Faisal I. Iskanderani. 2020. "Introductory Project-Based Design Course to Meet Socioeconomic Challenges." 2011 ASEE Annual Conference & Exposition Proceedings , no. : 22.969.1-22.969.12.
Prompt Gamma Neutron Activation Analysis is a nuclear-based technique that can be used in explosives detection. It relies on bombarding unknown samples with neutrons emitted from a neutron source. These neutrons interact with the sample nuclei emitting the gamma spectrum with peaks at specific energies, which are considered a fingerprint for the sample composition. Analyzing these peaks heights will give information about the unknown sample material composition. Shielding the sample from gamma rays or neutrons will affect the gamma spectrum obtained to be analyzed, providing a false indication about the sample constituents, especially when the shield is unknown. Here we show how using deep neural networks can solve the shielding drawback associated with the prompt gamma neutron activation analysis technique in explosives detection. We found that the introduced end-to-end framework was capable of differentiating between explosive and non-explosive hydrocarbons with accuracy of 95% for the previously included explosives in the model development data set. It was also, capable of generalizing with accuracy 80% over the explosives which were not included in the model development data set. Our results show that coupling prompt gamma neutron activation analysis with deep neural networks has a good potential for high accuracy explosives detection regardless of the shield presence.
K. Hossny; Ahmad Hany Hossny; S. Magdi; Abdelfattah Soliman; Mohammed Hossny. Detecting shielded explosives by coupling prompt gamma neutron activation analysis and deep neural networks. Scientific Reports 2020, 10, 1 -8.
AMA StyleK. Hossny, Ahmad Hany Hossny, S. Magdi, Abdelfattah Soliman, Mohammed Hossny. Detecting shielded explosives by coupling prompt gamma neutron activation analysis and deep neural networks. Scientific Reports. 2020; 10 (1):1-8.
Chicago/Turabian StyleK. Hossny; Ahmad Hany Hossny; S. Magdi; Abdelfattah Soliman; Mohammed Hossny. 2020. "Detecting shielded explosives by coupling prompt gamma neutron activation analysis and deep neural networks." Scientific Reports 10, no. 1: 1-8.
Cancer treatment is a challenging task in the medical field around the world. Most of the cases of the treatment procedures often have limitations and harmful side effects. Boron Neutron Capture Therapy (BNCT) is a method of cancer treatment where it is found to be less toxic and more effective in some form of tumor cells. BNCT requires a neutron beam, and a research reactor is the most reliable source of it. This study is about the technical feasibility of the Bangladesh Atomic Energy Commission TRIGA research reactor (BTRR) used as a neutron source for BNCT. The BTRR reactor has three irradiation sites (2 beam tubes (BTs), and a thermal column) currently unutilized. This study checks the technical feasibility of BNCT treatment neutron beam requirements (epithermal beam) in different external irradiation sites of the reactor. Monte Carlo simulation toolkit OpenMC was used to carry out the reactor model and flux calculation. It was found that the thermal column would be the best place to house the patient for the treatment. An epithermal flux of 1.0E+09 is available about halfway into the thermal column graphite.
Sharif Abu Darda; Abdelfattah Soliman; Mohammed S. Aljohani; Ned Xoubi. Technical feasibility study of BAEC TRIGA reactor (BTRR) as a neutron source for BNCT using OpenMC Monte Carlo code. Progress in Nuclear Energy 2020, 126, 103418 .
AMA StyleSharif Abu Darda, Abdelfattah Soliman, Mohammed S. Aljohani, Ned Xoubi. Technical feasibility study of BAEC TRIGA reactor (BTRR) as a neutron source for BNCT using OpenMC Monte Carlo code. Progress in Nuclear Energy. 2020; 126 ():103418.
Chicago/Turabian StyleSharif Abu Darda; Abdelfattah Soliman; Mohammed S. Aljohani; Ned Xoubi. 2020. "Technical feasibility study of BAEC TRIGA reactor (BTRR) as a neutron source for BNCT using OpenMC Monte Carlo code." Progress in Nuclear Energy 126, no. : 103418.
Radiation based techniques such as PGNAA provided a good alternative to conventional explosives detection methods due to the simplicity and efficiency of the quantitative isotopic technique. This paper introduces a framework that identifies explosive materials using H, C, and O isotopic prints. The first step is to regress the weight fractions of H, C and O isotopes in the sample separately using the gamma peaks as input. The regressed percentages will be used as input to the classifier to identify if this sample is explosive or not. The data used for training the model are generated using MCNP5 and validated on the 2017 ROMASHA experimental setup in Frank Laboratory in JINR, Russia. Our data set consisted of 316 gamma peak observations, which are split into 85% for training and 15% for testing. Experiments showed that KNN-regressor achieved best results to predict the H, C and O weight fractions with average MSE of 0.005 and R2 of 0.95. Also, the decision-tree-classifier achieved best results to identify whether the sample is explosive or not with the accuracy of 0.98. And, the assembled pipeline achieved total accuracy of 0.92 after error propagation through the two models. The proposed framework emphasized that machine learning and PGNAA are capable of learning and identifying explosives with the accuracy of 92%.
K. Hossny; S. Magdi; Abdelfattah Soliman; Ahmad Hany Hossny. Detecting explosives by PGNAA using KNN Regressors and decision tree classifier: A proof of concept. Progress in Nuclear Energy 2020, 124, 103332 .
AMA StyleK. Hossny, S. Magdi, Abdelfattah Soliman, Ahmad Hany Hossny. Detecting explosives by PGNAA using KNN Regressors and decision tree classifier: A proof of concept. Progress in Nuclear Energy. 2020; 124 ():103332.
Chicago/Turabian StyleK. Hossny; S. Magdi; Abdelfattah Soliman; Ahmad Hany Hossny. 2020. "Detecting explosives by PGNAA using KNN Regressors and decision tree classifier: A proof of concept." Progress in Nuclear Energy 124, no. : 103332.
Mapping student outcomes to CliftonSrengths talent themes enables academic advisors to monitor the psychological dimension of students to better help in building their personality. The work herein provides a map between ABET student outcomes and CliftonSrengths talent themes using a simplified version of the key performance indicators of each outcome. This mapping can help academic advisors to achieve progress in building student characters of high potential to succeed in facing future challenges and meet market expectations.
Abdelfattah Y. Soliman; Ali M. Al-Bahi. Enhancing the Psychological Dimension of Academic Advising via Implementing CliftonStrengths Themes. 2020 IEEE Global Engineering Education Conference (EDUCON) 2020, 120 -126.
AMA StyleAbdelfattah Y. Soliman, Ali M. Al-Bahi. Enhancing the Psychological Dimension of Academic Advising via Implementing CliftonStrengths Themes. 2020 IEEE Global Engineering Education Conference (EDUCON). 2020; ():120-126.
Chicago/Turabian StyleAbdelfattah Y. Soliman; Ali M. Al-Bahi. 2020. "Enhancing the Psychological Dimension of Academic Advising via Implementing CliftonStrengths Themes." 2020 IEEE Global Engineering Education Conference (EDUCON) , no. : 120-126.
A modified semi-empirical formula that relates the maximum range of the positron to the strength of different magnetic field strengths is developed via Monte Carlo simulation. The formula is derived as an extension to the existing formula of no magnetic field. COMSOL Multiphysics is used to simulate the different physics, including electromagnetic physics and charged particle tracking physics. The Monte Carlo simulation technique by COMSOL is employed to study the effect of magnetic field strength on the positron range PET/MRI scan of the head’s tumor. The magnetic field varies in the range 1–10 Tesla. The simulation code using positron emission is conducted by the Monte Carlo method. Simulation results show that changing the magnetic field affects the particle trajectory and hence the maximum positron range. The elliptic trajectory causes a reduction in displacement between the original location of emission and the location of annihilation, which permits an increased photon emission per unit volume of the tumor and hence a better image resolution. The main contribution of the paper is the formulation of a new semi-empirical relation taking into account the presence of a magnetic field by simulating different particle trajectories for the different magnetic field strengths.
Essam M. Banoqitah; Abdelfattah Y. Soliman; Eslam M. Taha; Abdelhamid K. Mazher. A modified semi-empirical formula to calculate the maximum positron range affected by different magnetic field strengths for PET/MRI scanner. Journal of Radiation Research and Applied Sciences 2020, 13, 507 -514.
AMA StyleEssam M. Banoqitah, Abdelfattah Y. Soliman, Eslam M. Taha, Abdelhamid K. Mazher. A modified semi-empirical formula to calculate the maximum positron range affected by different magnetic field strengths for PET/MRI scanner. Journal of Radiation Research and Applied Sciences. 2020; 13 (1):507-514.
Chicago/Turabian StyleEssam M. Banoqitah; Abdelfattah Y. Soliman; Eslam M. Taha; Abdelhamid K. Mazher. 2020. "A modified semi-empirical formula to calculate the maximum positron range affected by different magnetic field strengths for PET/MRI scanner." Journal of Radiation Research and Applied Sciences 13, no. 1: 507-514.
Research reactors in-core experimental facilities are designed to provide the highest steady state flux for user's irradiation requirements. However, fuel conversion from highly enriched uranium (HEU) to low enriched uranium (LEU) driven by the ongoing effort to diminish proliferation risk, will impact reactor physics parameters. Preserving the reactor capability to produce the needed flux to perform its intended research functions, determines the conversion feasibility. This study investigates the neutron flux in the central experimental facility of two material test reactors (MTR), the IAEA generic10 MW benchmark reactor and the 22 MW s Egyptian Test and Research Reactor (ETRR-2). A 3D full core model with three uranium enrichment of 93%, 45%, and 20% was constructed utilizing the OpenMC particle transport Monte Carlo code. Neutronics calculations were performed for fresh fuel, the beginning of life cycle (BOL) and end of life cycle (EOL) for each of the three enrichments for both the IAEA 10 MW generic reactor and core 1/98 of the ETRR-2 reactor. Criticality calculations of the effective multiplication factor (Keff) were executed for each of the twelve cases; results show a reasonable agreement with published benchmark values for both reactors. The thermal, epithermal and fast neutron fluxes were tallied across the core, utilizing the mesh tally capability of the code and are presented here. The axial flux in the central experimental facility was tallied at 1 cm intervals, for each of the cases; results for IAEA 10 MW show a maximum reduction of 14.32% in the thermal flux of LEU to that of the HEU, at EOL. The reduction of the thermal flux for fresh fuel was between 5.81% and 9.62%, with an average drop of 8.1%. At the BOL the thermal flux showed a larger reduction range of 6.92%–13.58% with an average drop of 10.73%. Furthermore, the fission reaction rate was calculated, results showed an increase in the peak fission rate of the LEU case compared to the HEU case. Results for the ETRR-2 reactor show an average increase of 62.31% in the thermal flux of LEU to that of the HEU due to the effect of spectrum hardening. The fission rate density increased with enrichment, resulting in 34% maximum increase in the HEU case compared to the LEU case at the assemblies surrounding the flux trap.
Ned Xoubi; Sharif Abu Darda; Abdelfattah Soliman; Tareq Abulfaraj. An investigative study of enrichment reduction impact on the neutron flux in the in-core flux-trap facility of MTR research reactors. Nuclear Engineering and Technology 2019, 52, 469 -476.
AMA StyleNed Xoubi, Sharif Abu Darda, Abdelfattah Soliman, Tareq Abulfaraj. An investigative study of enrichment reduction impact on the neutron flux in the in-core flux-trap facility of MTR research reactors. Nuclear Engineering and Technology. 2019; 52 (3):469-476.
Chicago/Turabian StyleNed Xoubi; Sharif Abu Darda; Abdelfattah Soliman; Tareq Abulfaraj. 2019. "An investigative study of enrichment reduction impact on the neutron flux in the in-core flux-trap facility of MTR research reactors." Nuclear Engineering and Technology 52, no. 3: 469-476.
Knowledge management is a systematic approach to synchronize the efforts of an organization, to store, retrieve, use, and share knowledge, work information, and expertise of individuals and working teams in the organization to achieve its goals. In academia, knowledge is generated through human efforts exerted in education, learning, research, and innovation. Unlike the business sector, a limited number of studies have addressed knowledge management in academic institutions. The present work introduces a methodology to construct a knowledge management system for engineering institutes and proposes associated assessment tools for measuring institutional performance towards achieving its prescribed goals.
Abdelfattah Y. Soliman; Alya A. Badawi; Manal M. Elkordy; Ali M. Al-Bahi. A Framework for Constructing and Assessing Knowledge Management Systems for Engineering Institutes. 2019 IEEE Global Engineering Education Conference (EDUCON) 2019, 727 -737.
AMA StyleAbdelfattah Y. Soliman, Alya A. Badawi, Manal M. Elkordy, Ali M. Al-Bahi. A Framework for Constructing and Assessing Knowledge Management Systems for Engineering Institutes. 2019 IEEE Global Engineering Education Conference (EDUCON). 2019; ():727-737.
Chicago/Turabian StyleAbdelfattah Y. Soliman; Alya A. Badawi; Manal M. Elkordy; Ali M. Al-Bahi. 2019. "A Framework for Constructing and Assessing Knowledge Management Systems for Engineering Institutes." 2019 IEEE Global Engineering Education Conference (EDUCON) , no. : 727-737.
According to the National Academic Advising Association (NACADA), academic advising is a series of intentional interactions with a curriculum, a pedagogy, and a set of student learning outcomes. The curriculum represents the subject matter advising covers and ranges from academic and career educational planning, building campus community and social relationships, and developing lifelong learning strategies and capabilities. The present work addresses how the curriculum, pedagogy and learning outcomes of academic advising can contribute to develop and assess lifelong learning capabilities. The Key Performance Indicators for lifelong learning are identified and how they can be assessed, evaluated, and improved during a modified academic advising curriculum are discussed. The proposed approach shifts developing and assessing lifelong learning skills from selected program courses to an organized college-wise activity inside the framework of well-organized extra-curricular academic advising interactions.
Abdelfattah Y. Soliman; Ali M. Al-Bahi. Enhancing Lifelong Learning Skills Through Academic Advising. Advances in Intelligent Systems and Computing 2019, 502 -513.
AMA StyleAbdelfattah Y. Soliman, Ali M. Al-Bahi. Enhancing Lifelong Learning Skills Through Academic Advising. Advances in Intelligent Systems and Computing. 2019; ():502-513.
Chicago/Turabian StyleAbdelfattah Y. Soliman; Ali M. Al-Bahi. 2019. "Enhancing Lifelong Learning Skills Through Academic Advising." Advances in Intelligent Systems and Computing , no. : 502-513.
Most existing educational design approaches focus on discipline-specific modules, while those based on a generic product concept rarely target sustainability goals. With the increasing interest in sustainability and education for sustainable development, it is necessary to rethink the product design approaches to target both customer needs and community requirements for sustainability. The main goal of the integral design approach proposed in the present work is to create a broader picture that integrates the design process, life cycle analysis, and the role of each design and life cycle player. A wider management scheme that sets a clear road map of the contribution of all players is introduced. This scheme is based on a win-win strategy between different players to promote mechanisms to enhance sustainability and min-imize risks and socioeconomic footprints.
Abdelfattah Y. Soliman; Ali M. Al-Bahi. A Win-Win Strategy to Integrate Sustainability Objectives in Product Design – An Educational Approach. International Journal of Engineering Pedagogy (iJEP) 2018, 8, 29 -43.
AMA StyleAbdelfattah Y. Soliman, Ali M. Al-Bahi. A Win-Win Strategy to Integrate Sustainability Objectives in Product Design – An Educational Approach. International Journal of Engineering Pedagogy (iJEP). 2018; 8 (5):29-43.
Chicago/Turabian StyleAbdelfattah Y. Soliman; Ali M. Al-Bahi. 2018. "A Win-Win Strategy to Integrate Sustainability Objectives in Product Design – An Educational Approach." International Journal of Engineering Pedagogy (iJEP) 8, no. 5: 29-43.
Corrosion of insulated pipes is a major problem in nuclear,petrochemical and other industries.This type of corrosion is difficult to measure by the available techniques of ultrasound and transmission gamma or x-ray radiography due to the presence of insulating material and limited accessibility to both sides. Gamma-ray backscattering technique is a non-contactmethod and is highly suitable for buried insulated pipes where access is limited to one side only.In the present work, MCNP5 code was used to simulate a case where pipe corrosion (i.e., wall thinning) was measured by gamma backscattered technique. A steel pipe is bombarded by collimated gamma ray beam of 1 cm diameter from an 8 mCi137Cs source. The pipehad different wall thicknesses and was wrapped with a commercially available insulator. Upon interaction with the pipe wall, a 2x2 cm NaI (Tl) scintillation detector was used to measure the scattered radiation due to Compton scattering. The codewas used to evaluate the sensitivity of the device to predict pipe wall thinning as an indication for pipe corrosion. Then, parametric analysis was done to investigate the effects of pipe diameter, insulator thickness, source collimator diameter, source shield thickness as well as the thickness of the shied between the source and the detector on the device response. Effect of empty vs. water-filled pipes on the device response was also investigated. Results indicate that Gamma-ray backscattering technique can be used successfully as a non-destructive test for measuring wall thinning of insulated pipes as an indication of their corrosion.
Ahmed A. ElHoushy; Mohamed H. Hassan; Abdelfattah Soliman; Mohsen A. Abou Mandour. Use of Gamma Ray Back Scattering Method for Corrosion Assessment in Insulated Pipes. Key Engineering Materials 2018, 786, 165 -173.
AMA StyleAhmed A. ElHoushy, Mohamed H. Hassan, Abdelfattah Soliman, Mohsen A. Abou Mandour. Use of Gamma Ray Back Scattering Method for Corrosion Assessment in Insulated Pipes. Key Engineering Materials. 2018; 786 ():165-173.
Chicago/Turabian StyleAhmed A. ElHoushy; Mohamed H. Hassan; Abdelfattah Soliman; Mohsen A. Abou Mandour. 2018. "Use of Gamma Ray Back Scattering Method for Corrosion Assessment in Insulated Pipes." Key Engineering Materials 786, no. : 165-173.
Ali M. Al-Bahi; Abdelfattah Y. A. Soliman; Mohamed H. M. Hassan; Nader M. A. Mohamed. Correction to: Concept design of an illicit material detection system. Journal of Radioanalytical and Nuclear Chemistry Articles 2018, 317, 1201 -1201.
AMA StyleAli M. Al-Bahi, Abdelfattah Y. A. Soliman, Mohamed H. M. Hassan, Nader M. A. Mohamed. Correction to: Concept design of an illicit material detection system. Journal of Radioanalytical and Nuclear Chemistry Articles. 2018; 317 (2):1201-1201.
Chicago/Turabian StyleAli M. Al-Bahi; Abdelfattah Y. A. Soliman; Mohamed H. M. Hassan; Nader M. A. Mohamed. 2018. "Correction to: Concept design of an illicit material detection system." Journal of Radioanalytical and Nuclear Chemistry Articles 317, no. 2: 1201-1201.
The purpose of this paper is to develop a coherent framework of SMART indicators for assessing and monitoring the sustainability of engineering educational process that targets sustainable development of the society. The indicators address the sustainability of the process as well as its impact on the sustainable development of the society. The approach is to find ways to achieve the sustainability goals of the society via a sustainable process by constructing measurable reliable indicators, which combine factors that affect the sustainability of an engineering education process, and those that which represent the impact of engineering educational process on the sustainable development of the society. The indicators reflect measures of the sustainability of the educational process starting from institutional strategic planning to the delivery of trained professionals and development leaders, while measuring the impact of the process itself on the environment, society, and economy. Developed indicators are intended to help in achieving the sustainability goals via sustainable high quality educational process. Indicators are constructed to map all the engineering institutions' activities and their impact on environment, society, and economy. The framework of indicators gives a broad picture of sustainability of engineering education in general and the engineering education for sustainable development, in particular. Developed indicators facilitates assessment and monitoring of the institutional strategic planning and daily activities for sustainability.
Ali M. Al-Bahi; Abdelfattah Y. Soliman. Sustainability SMART indicators of engineering education for sustainable development. 2018 IEEE Global Engineering Education Conference (EDUCON) 2018, 80 -88.
AMA StyleAli M. Al-Bahi, Abdelfattah Y. Soliman. Sustainability SMART indicators of engineering education for sustainable development. 2018 IEEE Global Engineering Education Conference (EDUCON). 2018; ():80-88.
Chicago/Turabian StyleAli M. Al-Bahi; Abdelfattah Y. Soliman. 2018. "Sustainability SMART indicators of engineering education for sustainable development." 2018 IEEE Global Engineering Education Conference (EDUCON) , no. : 80-88.
An assessment and evaluation strategy of the acquisition of engineering competencies that is based on the six sigma approach is presented. The main objective is to decrease the chance of having a passing student who failed to attain a specific competency identified by the program as a required outcome of the engineering curriculum. These competencies are identified by the profession as important for the correct performance of the job of engineers and for the fulfillment of their role in the society. The proposed process is expected to help the students to improve their attainment of engineering competencies in successive courses while minimizing the faculty workload associated with assessing and evaluating the attainment of these outcomes.
Ali M. Al-Bahi; Abdelfattah Soliman. A Six-Sigma approach to improve the acquisition of engineering competencies. 2018 IEEE Global Engineering Education Conference (EDUCON) 2018, 1555 -1562.
AMA StyleAli M. Al-Bahi, Abdelfattah Soliman. A Six-Sigma approach to improve the acquisition of engineering competencies. 2018 IEEE Global Engineering Education Conference (EDUCON). 2018; ():1555-1562.
Chicago/Turabian StyleAli M. Al-Bahi; Abdelfattah Soliman. 2018. "A Six-Sigma approach to improve the acquisition of engineering competencies." 2018 IEEE Global Engineering Education Conference (EDUCON) , no. : 1555-1562.
In this work, a full core, three-dimensional, multi-group model of VVER-1000 reactor core is developed using specifications of the Schulz benchmark. This paper presents a new 3-D full core solution, and simulates the neutronic behaviour of the VVER-1000 reactor by predicting the system criticality, power distribution, and the neutron flux distribution. Multi-group constants are applied to the COMSOL model to perform neutronics calculations using finite element method with adaptive mesh refinement. The study found that the calculated effective multiplication factor (k
Ned Xoubi; Abdelfattah Y. Soliman. Validating COMSOL multiphysics for VVER-1000 whole-core-steady-state via AER benchmark problem. International Journal of Nuclear Energy Science and Technology 2018, 12, 161 .
AMA StyleNed Xoubi, Abdelfattah Y. Soliman. Validating COMSOL multiphysics for VVER-1000 whole-core-steady-state via AER benchmark problem. International Journal of Nuclear Energy Science and Technology. 2018; 12 (2):161.
Chicago/Turabian StyleNed Xoubi; Abdelfattah Y. Soliman. 2018. "Validating COMSOL multiphysics for VVER-1000 whole-core-steady-state via AER benchmark problem." International Journal of Nuclear Energy Science and Technology 12, no. 2: 161.
Abdelfattah Y. Soliman; Ned Xoubi. Validating COMSOL multiphysics for VVER-1000 whole-core-steady-state via AER benchmark problem. International Journal of Nuclear Energy Science and Technology 2018, 12, 161 .
AMA StyleAbdelfattah Y. Soliman, Ned Xoubi. Validating COMSOL multiphysics for VVER-1000 whole-core-steady-state via AER benchmark problem. International Journal of Nuclear Energy Science and Technology. 2018; 12 (2):161.
Chicago/Turabian StyleAbdelfattah Y. Soliman; Ned Xoubi. 2018. "Validating COMSOL multiphysics for VVER-1000 whole-core-steady-state via AER benchmark problem." International Journal of Nuclear Energy Science and Technology 12, no. 2: 161.
Neutron backscattering technique is investigated as an alternative way for measuring the level of water in the horizontal oil gravity separators. This study proposes adding boron of 350 mg/L to the water inside the separator to increase the relative oil to water count rate. A concept design for the injection system is performed with recycling of boron. A CFD model is constructed using ANSYS Fluent software to simulate the boron injection and withdrawal processes. Experiments are conducted parallel to MCNP calculations to investigate the effect on the backscatted neutrons when adding 350 mg/L boron to the water.
Ali M. Al-Bahi; Abdelfattah Y. Soliman; Nader M. A. Mohamed. Investigating neutron back scattering technique for the detection of oil water separation levels in horizontal gravity oil separators. Journal of Radioanalytical and Nuclear Chemistry 2017, 315, 323 -330.
AMA StyleAli M. Al-Bahi, Abdelfattah Y. Soliman, Nader M. A. Mohamed. Investigating neutron back scattering technique for the detection of oil water separation levels in horizontal gravity oil separators. Journal of Radioanalytical and Nuclear Chemistry. 2017; 315 (2):323-330.
Chicago/Turabian StyleAli M. Al-Bahi; Abdelfattah Y. Soliman; Nader M. A. Mohamed. 2017. "Investigating neutron back scattering technique for the detection of oil water separation levels in horizontal gravity oil separators." Journal of Radioanalytical and Nuclear Chemistry 315, no. 2: 323-330.