A GLANCE AT EDUCATION IN IRAN : THE PAST AND THE PRESENT

BAZARGAN, FEREYDOUN 이화여자대학교 동서교육연구소 1980 East west education Vol.1 No.1

National Unity and Education Iran's Case

Fereydoun Bazargan 한국교육학회 1978 敎育學硏究 Vol.16 No.1

Developing an optimal valve closing rule curve for real-time pressure control in pipes

Mohammad Reza Bazargan-Lari,Reza Kerachian,Hossein Afshar,Seyyed Nasser Bashi-Azghadi 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.1

Sudden valve closure in pipeline systems can cause high pressures that may lead to serious damages. Using an optimal valve closing rule can play an important role in managing extreme pressures in sudden valve closure. In this paper, an optimal closing rule curve is developed using a multi-objective optimization model and Bayesian networks (BNs) for controlling water pressure in valve closure instead of traditional step functions or single linear functions. The method of characteristics is used to simulate transient flow caused by valve closure. Non-dominated sorting genetic algorithms-II is also used to develop a Pareto front among three objectives related to maximum and minimum water pressures, and the amount of water passes through the valve during the valve-closing process. Simulation and optimization processes are usually time-consuming, thus results of the optimization model are used for training the BN. The trained BN is capable of determining optimal real-time closing rules without running costly simulation and optimization models. To demonstrate its efficiency, the proposed methodology is applied to a reservoir-pipe-valve system and the optimal closing rule curve is calculated for the valve. The results of the linear and BN-based valve closure rules show that the latter can significantly reduce the range of variations in water hammer pressures.

Influencing Parameters on Supercritical Water Reactor Design for Phenol Oxidation

( Maryam Akbari ),( Morteza Nazaripour ),( Alireza Bazargan ),( Majid Bazargan ) 한국화학공학회 2021 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.59 No.1

For accurate and reliable process design for phenol oxidation in a plug flow reactor with supercritical water, modeling can be very insightful. Here, the velocity and density distribution along the reactor have been predicted by a numerical model and variations of temperature and phenol mass fraction are calculated under various flow conditions. The numerical model shows that as we proceed along the length of the reactor the temperature falls from above 430℃ to approximately 380℃. This is because the generated heat from the exothermic reaction is less that the amount lost through the walls of the reactor. Also, along the length, the linear velocity falls to less than one-third of the initial value while the density more than doubles. This is due to the fall in temperature which results in higher density which in turn demands a lower velocity to satisfy the continuity equation. Having a higher oxygen concentration at the reactor inlet leads to much faster phenol destruction; this leads to lower capital costs (shorter reactor will be required); however, the operational expenditures will increase for supplying the needed oxygen. The phenol destruction depends heavily on the kinetic parameters and can be as high as 99.9%. Using different kinetic parameters is shown to significantly influence the predicted distributions inside the reactor and final phenol conversion. These results demonstrate the importance of selecting kinetic parameters carefully particularly when these predictions are used for reactor design.

Bovine serum albumin protected gold nanozymes as a novel anti-cancer nanodrug for acute T-type lymphoblastic leukemia treatment via effect on the expression of anti-apoptotic genes

Vafa Ehsan,Bazargan-Lari Reza 한국응용생명화학회 2021 Applied Biological Chemistry (Appl Biol Chem) Vol.64 No.6

In this paper, the bovine serum albumin protected gold nanozymes (BSA-Au nanozymes) were utilized as a novel nanodrug for treatment of acute T-type lymphoblastic leukemia (Jurkat) by production of excessive ROS and effect on the expression of anti-apoptotic genes. The effect of BSA-Au nanozymes on the Bcl-2 expression and survivin in the Jurkat cell line was checked. The results showed that the expression of anti-apoptotic genes was significantly reduced after treatment of the Jurkat cell line with the BSA-Au nanozymes (p-value of 0.001) as the potential nanodrug while their expression in the normal PBMC was not affected by the nanodrug. Moreover, the cytotoxic effect of the developed nanodrug on the Jurkat cell line was evaluated which illustrated that survival rate in the studied cell line reaches its minimum value (100% lethality, 0.0% survival) after treatment for 48 h. The IC50 for the nanodrug was calculated at 0.05 mM of the developed nanodrug. Overall, the BSA-Au nanozymes can be used as the nanodrug for treatment of T-type lymphoblastic leukemia via reducing the expression of anti-apoptotic genes, increasing the effect of common anticancer drugs such as Adriamycin and ara-C, and consequently increasing the survival of patients with leukemia.

Implementation of an Intelligent Grid Computing Architecture for Transient Stability Constrained TTC Evaluation

Libao Shi,Li Shen,Yixin Ni,Masound Bazargan 대한전기학회 2013 Journal of Electrical Engineering & Technology Vol.8 No.1

An intelligent grid computing architecture is proposed and developed for transient stability constrained total transfer capability evaluation of future smart grid. In the proposed intelligent grid computing architecture, a model of generalized compute nodes with ‘able person should do more work’ feature is presented and implemented to make full use of each node. A timeout handling strategy called conditional resource preemption is designed to improve the whole system computing performance further. The architecture can intelligently and effectively integrate heterogeneous distributed computing resources around Intranet/Internet and implement the dynamic load balancing. Furthermore, the robustness of the architecture is analyzed and developed as well. The case studies have been carried out on the IEEE New England 39-bus system and a real-sized Chinese power system, and results demonstrate the practicability and effectiveness of the intelligent grid computing architecture.

Influence of Fluorine Doping on Hardness and Compressive Stress of the Diamond-Like Carbon Thin Film

Sayed Mohammad Adel Aghili,Raheleh Memarzadeh,Reza Bazargan Lari,Akbar Eshaghi 한국재료학회 2023 한국재료학회지 Vol.33 No.4

This study assessed the influences of fluorine introduced into DLC films on the structural and mechanical properties of the sample. In addition, the effects of the fluorine incorporation on the compressive stress in DLC films were investigated. For this purpose, fluorinated diamond-like carbon (F-DLC) films were deposited on cobalt-chromium-molybdenum substrates using radio-frequency plasma-enhanced chemical vapor. The coatings were examined by Raman scattering (RS), Attenuated total reflectance Fourier transform infrared spectroscopic analysis (ATR-FTIR), and a combination of elastic recoil detection analysis and Rutherford backscattering (ERDA-RBS). Nano-indentation tests were performed to measure hardness. Also, the residual stress of the films was calculated by the Stony equation. The ATR-FTIR analysis revealed that F was present in the amorphous matrix mainly as C-F and C-F2 groups. Based on Raman spectroscopy results, it was determined that F made the DLC films more graphitic. Additionally, it was shown that adding F into the DLC coating resulted in weaker mechanical properties and the F-DLC coating exhibited lower stress than DLC films. These effects were attributed to the replacement of strong C = C by feebler C-F bonds in the F-DLC films. F-doping decreased the hardness of the DLC from 11.5 to 8.8 GPa. In addition, with F addition, the compressive stress of the DLC sample decreased from 1 to 0.7 GPa.

Developing Operating Rules for Conjunctive Use of Surface and Groundwater Considering the Water Quality Issues

Matin Rafipour-Langeroudi,Reza Kerachian,Mohammad Reza Bazargan-Lari 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.2

This paper presents a new methodology for developing operating rules for conjunctive use of surface and groundwater. BayesianNetworks-based operating rules are trained and verified using the results of a multi-objective optimization model. Reduction ofpumping costs, improving the groundwater quality, water supply with acceptable quality and controlling the groundwater tablefluctuations are considered as objective functions of the optimization model. In order to provide Pareto fonts among these conflictingobjectives, the combination of MODFLOW and MT3D groundwater quantity and quality simulation models and Non-dominatedSorting Genetic Algorithm II (NSGA-II) are used. The best solutions on the Pareto fronts, which are selected using the Young andNash bargaining theories, are used to train and verify Bayesian Networks (BNs). In real-time water allocation from surface andgroundwater resources, the BNs-based rules can be used without any need to run the time consuming optimization and conflictresolution models. The proposed methodology is applied to the conjunctive use of water resources in the Tehran region, Iran. Theresults show that using the operating rules can improve the groundwater quality and control the groundwater table fluctuations in thestudy area.

Predicting the excess pressure drop incurred by LPTT fluids in flow through a planar constricted channel

Taha Rezaee,Mostafa Esmaeili,Solmaz Bazargan,Kayvan Sadeghy 한국유변학회 2019 Korea-Australia rheology journal Vol.31 No.3

Laminar flow of a viscoelastic fluid obeying the linear simplified Phan-Thien/Tanner model (LPTT) is numerically studied in a planar channel partially obstructed by a cosinusoidal constriction. Based on published data (Tammadon-Jahromi et al., 2011) there is no excess pressure drop for this particular fluid when flowing through an orifice-plate. Numerical results obtained using OpenFoam software at a typically low Reynolds number suggest that there exists a strong competition between the fluid’s strain-hardening/shearthinning behavior on the one side with its first normal-stress difference in extension, on the other side, in controlling the pressure drop caused by the presence of the constriction. It is shown that, an excess-pressuredrop (epd) can correctly be predicted provided that use is made of a proper (inelastic) baseline in the definition of the “epd”. At moderate Reynolds numbers a flow-reversal is predicted to occur at the lee side of the constriction ruling out this technique as an extensional rheometer. It is argued that such vortices can be very useful in high-throughput microfluidic systems for mixing enhancement. To reduce the excessive pressure drop experienced by the fluid when working at high Reynolds numbers, it is shown that the Deborah number of the flow should be increased.

Implementation of an Intelligent Grid Computing Architecture for Transient Stability Constrained TTC Evaluation

Shi, Libao,Shen, Li,Ni, Yixin,Bazargan, Masound The Korean Institute of Electrical Engineers 2013 Journal of Electrical Engineering & Technology Vol.8 No.1

An intelligent grid computing architecture is proposed and developed for transient stability constrained total transfer capability evaluation of future smart grid. In the proposed intelligent grid computing architecture, a model of generalized compute nodes with 'able person should do more work' feature is presented and implemented to make full use of each node. A timeout handling strategy called conditional resource preemption is designed to improve the whole system computing performance further. The architecture can intelligently and effectively integrate heterogeneous distributed computing resources around Intranet/Internet and implement the dynamic load balancing. Furthermore, the robustness of the architecture is analyzed and developed as well. The case studies have been carried out on the IEEE New England 39-bus system and a real-sized Chinese power system, and results demonstrate the practicability and effectiveness of the intelligent grid computing architecture.