فهرست مطالب

International Journal of Engineering
Volume:30 Issue: 1, Jan 2017

  • Transactions A: Basics
  • تاریخ انتشار: 1395/11/10
  • تعداد عناوین: 18
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  • E. Bagheripour, S. M. Hosseini*, A. R. Hamidi, A. R. Moghadassi Pages 7-14
    This study focused on fabrication and characterization of mixed matrix poly ether sulfone based nanofiltration membrane by phase inversion method. The effect of different amounts of Ilmenite (FeTiO3) particles as inorganic filler additive in the casting solution on physic-chemical characteristics of membranes was studied. Scanning electron microscopy, surface analysis, water content, contact angle, permeation, rejection and tensile strength measurements were carried out in membrane characterization. SEM images showed asymmetric structures with a dense top layer and porous sublayer for the membranes. Images revealed that membrane sub-layer porosity was increased and toplayer thickness was decreased by FeTiO3 utilizing in membrane matrix. SEM images showed smooth surface for modified membranes compared to pristine one. Membrane water content was improved initially by increase of additive concentration up to 0.05 wt% into the casting solution and then was decreased. The contact angle measurements showed that membrane surface hydrophilicity was improved by using of Ilmenite in the membrane matrix. The membrane tensile strength was improved initially by increasing additive concentration into the casting solution and then was decreased. Utilizing of Ilmenite into the membrane matrix caused to increase of water flux and salt rejection from 10 to 172.4 L/m2·h and 53.9 % to 88.5% respectively.
    Keywords: Mixed Matrix, Nanofiltration, Ilmenite Particles, Fabrication, Characterization, High Performance
  • K. Taghavi, D. Naghipour, A. Mohagheghian, M. Moslemzadeh* Pages 15-22
    Phenol and its derivatives are one of the most common contaminants in the aquatic ecosystem. Because of high toxicity of 2,4-DCP for aquatic life, resistance to biodegradation and potential for biological accumulation it is known as a priority contaminant in the aquatic environment. Advanced Oxidation Processes were successfully used for degradation of non-biodegradable contaminants that are resistant to conventional treatment processes .So, it would be interesting that be used from advance oxidation technologies which apply such effective radicals as radicals (SO 4). In present study effects of concentrations of 2,4-DCP, Fe2, peroxydisulfate (PDS) and pH value were investigated on the 2,4DCP photochemical degradation efficiency. The increase of pH value negatively influenced the removal efficiency and reaction rate constant while an increase in the Fe2 and (PDS) concentrations increased both the removal efficiency and reaction rate constant. In addition, the reaction rate constant increased linearly with increasing (PDS) concentration. In this study, in general, PDS was found as the most effective factor on the degradation of 2,4-DCP by Fe2ﳰ틽.
    Keywords: Photochemical Degradation, 2, 4, dichlorophenol, Aqueous Solutions, Peroxydisulfate, UV Radiation
  • R. R. Karri*, V. Babovic Pages 23-29
    The regional waters in Singapore Strait are characterized by complex hydrodynamic phenomena as a result of the combined effect of three large water bodies viz. the South China Sea, the Andaman Sea, and the Java Sea. This leads to anomalies in water levels and generates residual currents. Numerical hydrodynamic models are generally used for predicting water levels in the ocean and seas. But their correctness is typically limited by several factors, namely the complexity associated with the coastal geometry and uncertainty in the flow forcing factors like (winds, pressure and deep ocean tides). Modeling of ocean dynamics in the Malacca strait and Singapore regional waters is particularly challenging due to the presence of large number of smaller islands and strongly nonlinear tidal interactions. The complexity is further enhanced due to the composite local bathymetry and geometry variations around the Singapore Island and meteorological effects on different scales. This study acknowledges the enhancement and better prediction of tides and surges through the use of data assimilation. A portable interface OpenDA, an ensemble Kalman filter is integrated with a hydrodynamic model to enhance the model predictions. To assess the sensitivity and evaluate model enhancement, a twin experiment is designed to improve tidal boundary forcing effect in a semienclosed estuary. The key outcomes of this study signify that the model results can be significantly improved in this complex flow regime.
    Keywords: Ensemble, Kalman filter, Data model integration, Data assimilation, OpenDA, Tides, surges
  • M. Rezaiee Pajand*, A. Aftabi Sani, S. M. Hozhabrossadati Pages 30-39
    This study is concentrated on the natural frequencies and mode shapes of a simple three-member space frame coupled with a dynamic vibration absorber. The dynamic vibration absorber is modeled as a sixdegree-of-freedom mass-spring system. For the first time, the free vibration of an elastic structure with a six-degree-of-freedom mass-spring system is found. Each member of the space frame has uniform mechanical and geometrical properties, but these may differ from one member to another one. The exact result of this complex problem is obtained via analytical scheme and finite element method. All effects of the axial and torsional deformations and also in- and out-of-plane bending are taken into account. This formulation includes eighteen differential equations along with thirty six boundary and compatibility conditions. Comparison of the obtained results by both mentioned approaches, illustrates the accuracy of the authors'' solutions. Findings are useful benchmarks for the natural frequencies and mode shapes of the space frame coupled with a dynamic vibration absorber.
    Keywords: Space Frame, Dynamic Vibration Absorber, Vibration Analysis, Six-Degree-of-freedom Mass-spring System, Exact Solution, Finite Element Solution
  • S. Shahba, M. Ghasemi*, S. M. Marandi Pages 40-47
    The present experimental research investigates the feasibility of partial substitution of styrenebutadiene-styrene (SBS) with ground granulated blast-furnace slag (GGBS) for the modification of bitumen and porous asphalt mixtures. The control asphalt mixture and the seven modified porous asphalt mixtures have been analyzed separately and their performance was compared. Modified bitumen and asphalt mixtures were evaluated based on the penetration test, softening point, ductility, Marshall stability, indirect tensile strength (ITS), moisture susceptibility, uniaxial compression test, porosity, and permeability. According to the results, a blend of GGBS and SBS can be used to modify porous asphalt mixtures since it either improves or does not change their properties.The results show that using these additives have decreased penetration and ductility of bitumen and also there is an increase in softening point, so that the additives have strengthened asphalt mixture properties such as Marshall strength, ITS and Uniaxial compression strength.Furthermore, in the current research work, artificial neural networks (ANN) are used to estimate the permeability of modified porous asphalt mixtures. Sensitivity analysis was discussed for the measurement of the importance of different input parameters. The laboratory experiments and proposed ANN model indicated that a new method can be developed for permeability control.
    Keywords: Asphalt Modification, Porous Asphalt, Styrene Butadiene Styrene, Ground Granulated Blast-furnace Slag, Artificial Neural Networks
  • S. Jam, A. Shahbahrami*, S. H. S. Ziyabari Pages 48-56
    There are different variants of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader and Challengers (ALC-PSO). These algorithms improve the performance of PSO in terms of finding the best solution and accelerating the convergence speed. However, these algorithms are computationally intensive. The goal of this paper is high performance implementations of Traditional PSO (TPSO), APSO and ALCPSO using CUDA technology. We have implemented these three algorithms on both central processing unit (CPU) and graphics processing unit (GPU) in order to analyze and improve their performance and reduce their computational times. We have achieved speedups up to 14.5x, 31x, and 152x, for GPUTPSO , GPU-ALCPSO , and GPU-APSO, respectively. In addition, different number of threads has been chosen in order to find an appropriate number of threads per block for both APSO and ALC-PSO algorithms. Our experimental results show that the best choice for number of threads per block depends on number of existing variables and constants in each algorithm and number of registers per multiprocessor.
    Keywords: Particle Swarm Optimization, Adaptive, Particle, Swarm, Optimization, Particle Swarm Optimization with an Aging, Leader, Challengers, Graphics Processing Unit
  • H. Zivarian, M. Soleimani, M. H. Doostmohammadi* Pages 57-65
    In this work, the design of a low-cost, field programmable gate array (FPGA)-based digital hardware platform that implements image processing algorithms for real-time distance measurement is presented. Using embedded development kit (EDK) tools from Xilinx, the system is developed on a spartan3 / xc3s400, one of the common and low cost field programmable gate arrays from the Xilinx Spartan family. Latency of the hardware is less than 100μs in 5000 clock cycles with 50MHz maximum frequency which is way less than MATLAB software performance about 82ms. Simulation and experimental results clearly indicate the potential of the presented FGPA-based platform for realtime distance measurement of images acquired from our camera setup. Thus, this platform can be used in any system with the needs of real-time or semi real-time machine vision.
    Keywords: Distance measurement, image processing, field programmable gate array, implementation, machine vision
  • B. Zoullouti, M. Amghar, N. Sbiti Pages 66-74
  • N. Zarrinpoora, M. S. Fallahnezhada, M. S. Pishvaee* Pages 75-84

    This paper proposes a novel facility location model for health service network design by considering different key elements including the reliability aspects, service capacity, congestion, service quality, surrounding public infrastructures, geographical accessibility and several types of cost such as investment, transportation and operational costs. We formulate the problem as a robust scenario-based stochastic programming model to deal with different categories of uncertainty associated with reliability, demand, service and geographical accessibility such that the minimization of expected costs under all disruption scenarios will be attained. To illustrate the applicability of the proposed model, a real-life case study based on the health service network of Sistan and Baluchestan province is presented. The findings of this research enable the system designers to investigate different strategic and operational decisions in the design and management of the health service networks from both cost and risk perspectives.

    Keywords: Facility Location, Health Service Network, Reliability, Congestion, Accessibility, Robust Optimization
  • B. T. Marouf, R. A. Pearson, R. Bagheri Pages 93-100
  • M. Rahnavard, M. J. Ostad Ahmad Ghorabi Pages 101-108
  • W. Yang, H. Li*, M. Dengqiu, W. Yongqiao, C. Jian Pages 109-119
    Gear’s normal contact stiffness played an important role in the mechanical equipment. In this paper, the M-B fractal model is modified and the contact surface coefficient is put forward to set up the fractal model, considering the influence of friction, which could be used to calculate accurately the involute arc cylindrical gears’ normal contact stiffness based on the fractal theory and Hertz theory. The contact surface coefficient is an exponential function about the load, radius of curvature and tooth line radius. The simulation results validate the reasonability of the contact surface coefficient and correctness of the fractal model. The contact surfaced coefficient increases with the increase of the load, radius of curvature and tooth line radius; the normal contact stiffness increases with the increase of material properties parameters, radius of the gear, load and fractal dimension (when fractal dimension is greater than 1.85, the normal contact stiffness decreases). Meanwhile, the normal contact stiffness increases with the decrease of roughness and decreases exponentially or linearly with the increase of friction coefficient. Research results are the foundation of the further analysis of arc gear contact problems.
    Keywords: Fractal Theory, Contact Stiffness Model, Involute Arc Cylindrical Gear, Numerical Simulation
  • A. M. Khoshnood, H. Khaksari, J.Roshanian, S. M. Hasani Pages 120-126
  • N. M. Dyamannavr*, N. G. Kurahatti, A. Christina Pages 127-133
    In this paper, an Ultra High Frequency (UHF) base band processor for a passive Tag is presented. It proposes a Radio Frequency Identification (RFID) tag digital base band architecture which is compatible with the EPC C C2/ISO18000-6B protocol. Several design approaches such as clock gating technique, clock strobe design and clock management are used. In oder to reduce the area Decimal Matrix Code (DMC) Technique is used.The digital base band processor has been simulated and implemented using Xilinx platform. The complete design is verified and tested on Spartan-6 Field Programmable Gate Array (FPGA) board. The performance of system is measured in terms of power. The Synthesis result shows that, the power required for complete design of digital baseband processor is 5mW on a supply voltage of 1.2V.
    Keywords: Radio Frequency Identification, base band Processor, Hardware Descriptive Language, Field Programmable Gate Array
  • S. Hadian Jazi, P. Rasouli, M. Keshmiri Pages 134-142
  • R. Hasanzadeh, T. Azdast, A. Doniavi, S. Babazadeh, R. E. Lee, M. Daryadel, S. M. Shishavan Pages 143-151