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The effect of foamed cement nanocomposite as counter electrode on the performance of dye-sensitized solar cell
, Article International Journal of Applied Ceramic Technology ; Volume 20, Issue 6 , 2023 , Pages 3596-3607 ; 1546542X (ISSN) ; Ahmadi, K ; Abdolahzadeh Ziabari, A ; Novin Vajari, S ; Omidtabrizi, F ; Sharif University of Technology
John Wiley and Sons Inc
2023
Abstract
Improper interparticle connection between carbon-based materials, poor interface bonding between the carbon counter electrodes (CEs) and substrate, and low surface area are the main limitations of carbon-based CEs in dye-sensitized solar cells. In this study, we utilized foamed cement and binder for adherence and surface area improvement in carbon-based CEs, such as graphite, multi-walled carbon nanotubes, and carbon black (CB). The results revealed that incorporating foamed cement into carbon materials improved the resistance, short-circuit current density, fill factor, and power conversion efficiency of the device. The porous cement/CB nanocomposite CE with a photoconversion efficiency of...
Warm and hot deformation behaviors and hot workability of an aluminum-magnesium alloy using artificial neural network
, Article Materials Today Communications ; Volume 35 , 2023 ; 23524928 (ISSN) ; Serajzadeh, S ; Sharif University of Technology
Elsevier Ltd
2023
Abstract
In this work, flow stress behavior, softening mechanisms and processing maps during deformation of aluminum-magnesium alloy i.e. AA5052, were investigated. Firstly, tensile tests were carried out in the range of room temperature up to 450 °C under different strain rates between 0.001 s-1 to 0.05 s-1. Then, neural network algorithms together with dynamic materials modeling were employed for determination of stain rate sensitivity parameter and processing maps under different working conditions. Moreover, the governing constitutive equations as well as the activation energies of dynamic strain aging and hot deformation were defined. Accordingly, the processing maps were developed for different...
Magnetic and electric field assisted electrospun polyamide nanofibers for on-line μ-solid phase extraction and HPLC
, Article RSC Advances ; Vol. 4, Issue. 94 , 2014 , pp. 52590-52597 ; ISSN: 20462069 ; Piri-Moghadam, H ; Rastegar, S ; Sharif University of Technology
2014
Abstract
The effects of applied magnetic and electric fields on electrospinning were investigated to produce more efficient nanofibers. Considering the previous extensive studies, polyamide nanofibers were prepared by a conventional approach and under auxiliary electric and magnetic fields. The first sorbent was synthesized by electrospinning of a solution of 18% polyamide in formic acid. The second and third types of polyamide were prepared similarly while the electrospinning processes were assisted by an electric and a magnetic field. The third type of polyamide contained a magnetic ionic liquid (MIL) to induce sufficient magnetic susceptibility in the polymeric solution. The SEM images revealed...
On-line micro solid-phase extraction of clodinafop propargyl from water, soil and wheat samples using electrospun polyamide nanofibers
, Article Chromatographia ; Vol. 77, issue. 9-10 , May , 2014 , p. 723-728 ; Asgari, S ; Piri-Moghadam, H ; Sharif University of Technology
2014
Abstract
An on-line extraction/determination set up was designed for micro solid-phase extraction of clodinafop propargyl from water, soil and wheat samples using electrospun polyamide nanofiber mats. The prepared mats were packed in a stainless steel tube which conveniently acted as a high-performance liquid chromatography injection loop. Influential parameters affecting the extraction efficiency were optimized using a distilled water sample fortified with 25 μg L-1 of clodinafop propargyl. An enrichment factor of 440 was achieved for clodinafop propargyl indicating the ability of the whole procedure. Under the optimum conditions, the linearity for the analyte was in the range of 6-700 μg L-1, while...
A robust simulation optimization algorithm using kriging and particle swarm optimization: application to surgery room optimization
, Article Communications in Statistics: Simulation and Computation ; 2019 ; 03610918 (ISSN) ; Seifi, F ; Moghadam, S ; Sharif University of Technology
Taylor and Francis Inc
2019
Abstract
Simulation optimization is an endeavor to determine the best combination of inputs that result in the best system performance criterion without evaluating all possible combinations. Since simulation optimization applies to many problems, it is extensively studied in the literature with different methods. However, most of these methods ignore the uncertainty of the systems’ parameters, which may lead to a solution that is not robustly optimal in reality. Motivated by this uncertainty, we propose a robust simulation optimization algorithm that follows the well-known Taguchi standpoint but replaces its statistical technique with a minimax method based on the kriging (Gaussian process)...
A robust simulation optimization algorithm using kriging and particle swarm optimization: Application to surgery room optimization
, Article Communications in Statistics: Simulation and Computation ; 2019 ; 03610918 (ISSN) ; Seifi, F ; Moghadam, S ; Sharif University of Technology
Taylor and Francis Inc
2019
Abstract
Simulation optimization is an endeavor to determine the best combination of inputs that result in the best system performance criterion without evaluating all possible combinations. Since simulation optimization applies to many problems, it is extensively studied in the literature with different methods. However, most of these methods ignore the uncertainty of the systems’ parameters, which may lead to a solution that is not robustly optimal in reality. Motivated by this uncertainty, we propose a robust simulation optimization algorithm that follows the well-known Taguchi standpoint but replaces its statistical technique with a minimax method based on the kriging (Gaussian process)...
A robust simulation optimization algorithm using kriging and particle swarm optimization: application to surgery room optimization
, Article Communications in Statistics: Simulation and Computation ; Volume 50, Issue 7 , 2021 , Pages 2025-2041 ; 03610918 (ISSN) ; Seifi, F ; Moghadam, S ; Sharif University of Technology
Taylor and Francis Ltd
2021
Abstract
Simulation optimization is an endeavor to determine the best combination of inputs that result in the best system performance criterion without evaluating all possible combinations. Since simulation optimization applies to many problems, it is extensively studied in the literature with different methods. However, most of these methods ignore the uncertainty of the systems’ parameters, which may lead to a solution that is not robustly optimal in reality. Motivated by this uncertainty, we propose a robust simulation optimization algorithm that follows the well-known Taguchi standpoint but replaces its statistical technique with a minimax method based on the kriging (Gaussian process)...
FEM elasto-plastic analysis of a new manufacturing method for covering the free surface of unidirectional composites
, Article Computational Materials Science ; Volume 36, Issue 4 , 2006 , Pages 411-424 ; 09270256 (ISSN) ; Adibnazari, S ; Rashidi Moghadam, A ; Sharif University of Technology
2006
Abstract
Fiber/matrix debonding at the free surface of unidirectional composites deteriorates their performance and ultimately reduces the working life of these materials. Identifying the source, controlling the propagation and elimination of the damages has been the subject of many research attempts. The results show that the singular radial thermal residual stress at the fiber/matrix interface on the free surface of composites is the main reason for initiation of the debonding. Also, it has been experimentally and numerically proven that a thin layer of matrix-like cover on the free surface could highly help in elimination and/or reduction of the damage. However, the results were limited to the...
Accelerating the Rijndael algorithm using custom instructions capability of Nios II in ODYSSEY
, Article Proceedings - 2006 International Conference on Design and Test of Integrated Systems in Nanoscale Technology, IEEE DTIS 2006 ; 2006 , Pages 69-73 ; 0780397266 (ISBN); 9780780397262 (ISBN) ; Hessabi, S ; Moghadam, E. K ; Sharif University of Technology
IEEE Computer Society
2006
Abstract
The ODYSSEY design methodology is an object-oriented design methodology which models a system in terms of its constituting objects and their corresponding method calls. Some of these method calls are implemented in hardware functional units, while others are simply executed by a general-purpose processor. There is a communication overhead because functional units must communicate with each other and with the processor core. In this paper we utilize the custom instructions capability of Nios II processor to enhance the performance of our ASIP. Since these instructions are in the processor itself, there will be no communication overhead for using them. We analyze the performance of the...
Application of unmanned aerial vehicle Dem in flood modeling and comparison with global dems: case study of atrak river basin, Iran
, Article Journal of Environmental Management ; Volume 317 , 2022 ; 03014797 (ISSN) ; Khojeh, S ; Hosseini, S. M ; Jouybari Moghadam, Y ; Sharif University of Technology
Academic Press
2022
Abstract
Digital Elevation Models (DEMs) play a significant role in hydraulic modeling and flood risk management. This study initially investigated the effect of Unmanned Aerial Vehicle (UAV) DEM resolutions, ranging from 1 m to 30 m, on flood characteristics, including the inundation area, mean flow depth, and mean flow velocity. Then, the errors of flood characteristics for global DEMs, comprising ALOS (30 m), ASTER (30 m), SRTM (30 m), and TDX (12 m) were quantified using UAV DEM measurements. For these purposes, the HEC-RAS 2D model in steady-state conditions was used to simulate the flood with return periods of 5- to 200 years along 20 km reach of Atrak River located in northeastern Iran....
Simultaneous alpha and gamma discrimination with a phoswich detector using a rise time method and an artificial neural network method
, Article Applied Radiation and Isotopes ; Volume 154 , 2019 ; 09698043 (ISSN) ; Feghhi, S. A. H ; Moghadam, S. R ; Zamzamian, S. M ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
We used two digital methods—rise time discrimination (RTD) and an artificial neural network (ANN)—to simultaneously discriminate alpha particles and gamma rays detected by a phoswich detector (50 μm BC-400 coupled to 3 mm CsI(Tl)). The results for 10,000 pulses discriminated by the RTD method showed that the rise time distribution of the pulses is rather vast (between 200 and 800 ns for gamma rays and less than 40 ns for alpha particles). The same result was also observed in the dual-parameter diagram (pulse rise time versus area under the pulse) for an 241Am source. Then, as another approach, three pulse features—rise time, pulse height ratio, and charge ratio—were extracted from 2000...
Surface roughness of electrospun nanofibrous mats by a novel image processing technique
, Article Surface Review and Letters ; Volume 26, Issue 1 , 2019 ; 0218625X (ISSN) ; Kasaei, S ; Haghi, A. K ; Sharif University of Technology
World Scientific Publishing Co. Pte Ltd
2019
Abstract
A novel technique based on image processing inspired by the simple assumption for the first time to assess the roughness of nanofibrous mats based on grayscale variations is proposed. The height of a nanofibrous mat in different regions of the surface is simulated by grayscale variations in the image while the relation between grayscale and height is obtained as a linear function. The roughness is obtained by measuring height variations in the surface profile. Statistical roughness parameters of nanofibrous mats are also obtained from direct measurement with roughness profilometry and atomic force microscopy (AFM) for comparison of the roughness of nanofibrous mats between direct measurement...
SURFACE roughness of electrospun nanofibrous mats by a novel image processing technique
, Article Surface Review and Letters ; 2018 ; 0218625X (ISSN) ; Kasaei, S ; Haghi, A. K ; Sharif University of Technology
World Scientific Publishing Co. Pte Ltd
2018
Abstract
A novel technique based on image processing inspired by the simple assumption for the first time to assess the roughness of nanofibrous mats based on grayscale variations is proposed. The height of a nanofibrous mat in different regions of the surface is simulated by grayscale variations in the image while the relation between grayscale and height is obtained as a linear function. The roughness is obtained by measuring height variations in the surface profile. Statistical roughness parameters of nanofibrous mats are also obtained from direct measurement with roughness profilometry and atomic force microscopy (AFM) for comparison of the roughness of nanofibrous mats between direct measurement...
Noncoherent weighted detection for time reversal UWB systems: Energy and kurtosis detectors
, Article International Journal on Communications Antenna and Propagation ; Volume 1, Issue 2 , 2011 , Pages 174-181 ; 20395086 (ISSN) ; Moghaddam, S. S ; Mohebbi, A ; Abbasi Moghadam, D ; Sharif University of Technology
Praise Worthy Prize S.r.l
2011
Abstract
Time reversal is a technique in which a signal is pre-filtered such that it focuses both in time and space. Spatial focusing reduces interference to other co-existing systems and temporal focusing concentrates the received power in a very short interval. Energy detector is a practical receiver for ultra-wideband (UWB) time reversed signals due to its low-complexity and low-cost implementation. However, selection of an optimum integration interval to minimize the bit error rate is a major problem. Weighted energy detection is an effective technique to overcome this problem and enhance the performance of energy detectors. However, this improvement is achieved at the expense of non-trivial...
Studying higher mode effects on the performance of nonlinear static analysis methods considering near-fault effects
, Article KSCE Journal of Civil Engineering ; Volume 17, Issue 2 , March , 2013 , Pages 426-437 ; 12267988 (ISSN) ; Moradnejad, H. R ; Rouhanimanesh, M. S ; Sarvghad Moghadam, A ; Sharif University of Technology
2013
Abstract
Daily development in civil engineering arena and the importance of economical aspects in the design of structures have motivated the engineers to shift their approaches from designing upon strength to designing upon performance. This is of more importance regarding the forces induced by earthquakes which have unpredicted and random nature. However, it is not possible to design or assess exactly the structural performance against strong ground motion using analytical methods which are applied for static loads and therefore precise dynamic analysis methods are needed. Despite significant progress in the analytical methods and engineering software, using nonlinear time history analysis is very...
Some investigations on protease enzyme production kinetics using bacillus licheniformis BBRC 100053 and effects of inhibitors on protease activity
, Article International Journal of Chemical Engineering ; 2014 ; ISSN: 1687806X ; Yaghmaei, S ; Moghadam, N ; Sadeghein, B ; Sharif University of Technology
2014
Abstract
Due to great commercial application of protease, it is necessary to study kinetic characterization of this enzyme in order to improve design of enzymatic reactors. In this study, mathematical modeling of protease enzyme production kinetics which is derived from Bacillus licheniformis BBRC 100053 was studied (at 37°C, pH 10 after 73 h in stationary phase, and 150 rpm). The aim of the present paper was to determine the best kinetic model and kinetic parameters for production of protease and calculating K i (inhibition constant) of different inhibitors to find the most effective one. The kinetic parameters K m (Michaelis-Menten constant) and V m (maximum rate) were calculated 0.626 mM and...
Application of sol-gel based molecularly imprinted xerogel for on-line capillary microextraction of fentanyl from urine and plasma samples
, Article Analytical Methods ; Volume 5, Issue 24 , 2013 , Pages 7096-7101 ; 17599660 (ISSN) ; Piri-Moghadam, H ; Bayat, P ; Balalaie, S ; Sharif University of Technology
2013
Abstract
A molecularly imprinted xerogel (MIX) for fentanyl was successfully prepared on the inner surface of a copper tube by sol-gel technology. Primarily, the tube was treated by self-assembly monolayers of 3-(mercaptopropyl) trimethoxysilane and then [3-(2,3-epoxypropoxy)-propyl]-trimethoxysilane was employed as a precursor for imprinting the template molecule in acidic conditions. During the sol-gel process influential parameters including volume and concentration of fentanyl were carefully investigated to obtain the most efficient and appropriate xerogel. In parallel, a non-imprinted xerogel (NIX) was synthesized in the absence of fentanyl. The extraction efficiencies achieved from MIX and NIX,...
Electrospun titania sol-gel-based ceramic composite nanofibers for online micro- solid-phase extraction with high-performance liquid chromatography
, Article Journal of Separation Science ; Vol. 37, issue. 15 , August , 2014 , pp. 1982-1988 ; ISSN: 16159306 ; Piri-Moghadam, H ; Rastegar, S ; Taheri, N ; Sharif University of Technology
2014
Abstract
Titanium(IV) tetraisopropoxide was employed as a metal oxide sol-gel precursor to prepare ceramic composite nanofibers by the electrospinning system. To facilitate this process and obtain the desired nanofibers with higher aspect ratios and surface area, poly(vinylpyrrolidone) was added to the sol of titania. Four ceramic nanofibers sheets based on titania were prepared while each sheet contained different transition metals such as Fe-Mn, Fe-Ni, Fe-Co, and Fe-Mn-Co-Ni. The scanning electron microscope images showed good homogeneity for all the prepared ceramic composites with a diameter range of 100-250 nm. The sorption efficiency was investigated by a micro-solid-phase extraction setup in...
A probabilistic artificial neural network-based procedure for variance change point estimation
, Article Soft Computing ; Vol. 19, issue. 3 , May , 2014 , pp. 691-700 ; ISSN: 14327643 ; Niaki, S. T. A ; Moghadam, A. T ; Sharif University of Technology
2014
Abstract
Control charts are useful tools of monitoring quality characteristics. One of the problems of employing a control chart is that the time it alarms is not synchronic with the time when assignable cause manifests itself in the process. This makes difficult to search and find assignable causes. Knowing the real time of manifestation of assignable cause (change point) helps to find assignable cause(s) sooner and eases corrective actions to be taken. In this paper, a probabilistic neural network (PNN)-based procedure was developed to estimate the variance change point of a normally distributed quality characteristic. The PNN was selected based on trial and error among different types of...
A comparison of co-current and counter-current modes for Fischer-Tropsch synthesis in two consecutive reactors of oxidative coupling of methane and Fischer-Tropsch
, Article Journal of Natural Gas Science and Engineering ; Volume 14 , 2013 , Pages 1-16 ; 18755100 (ISSN) ; Ghader, S ; Hashemipour, H ; Moghadam, H. R ; Sharif University of Technology
2013
Abstract
The results of three cases of two consecutive reactors are studied in two types of co-current and counter-current flow in second reactor where two consecutive reactors are oxidative coupling of methane (OCM) and Fischer-Tropsch (FT) reactors. FT reactor can be fixed bed or membrane fixed bed reactor with a hydrogen perm-selective membrane. Effect of CH4/O2 ratio, contact time, inlet temperature, and amount of N2 in OCM feed on C2 to C5+ hydrocarbons produced in FT reactor were studied. Results show that use of counter-current hydrogen-perm selective membrane FT reactor that sequenced after OCM reactor improves the C5+ yield as a desirable product and reduces the amount of CH4 and CO2 as...