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Availability analysis on combustion of n-heptane and isooctane blends in a reactivity controlled compression ignition engine
, Article Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering ; Volume 232, Issue 11 , 2018 , Pages 1501-1515 ; 09544070 (ISSN) ; Reyhanian, M ; Ghofrani, I ; Aziz, A. A ; Hosseini, V ; Sharif University of Technology
SAGE Publications Ltd
2018
Abstract
Unfortunately, energy demands and destruction of the environment from uncontrolled manipulation of fossil fuels have increased. Climate change concerns have resulted in the rapid use of new, alternative combustion technologies. In this study, reactivity controlled compression ignition (RCCI) combustion, which can simply be exploited in internal combustion (IC) engines, is investigated. To introduce and identify extra insightful information, an exergy-based study was conducted to classify various irreversibility and loss sources. Multidimensional models were combined with the primary kinetics mechanism to investigate RCCI combustion, incorporating the second law of thermodynamics. The...
Investigating the effect of engine noise on power management strategy of a hybrid electric vehicle
, Article Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering ; Volume 232, Issue 10 , 2018 , Pages 1287-1296 ; 09544070 (ISSN) ; Aliramezani, M ; Khadem Nahvi, M ; Sharif University of Technology
SAGE Publications Ltd
2018
Abstract
Hybrid electric vehicles (HEVs) have been developed as a promising way to decrease the fuel consumption and emissions of conventional vehicles. Although the noise emission of HEVs is generally lower than that of conventional vehicles, it is still an issue, especially in urban transportation. In this paper, a power management strategy is developed to minimize the annoying noise of the engine for an HEV. This is a modified version of the strategy that was originally established based on the speed ratio of continuously variable transmission (CVT) as the control parameter (CVT-based strategy). The engine combustion noise is assessed using the experimental data of the in-cylinder pressure. Also,...
Nonlinear power balance control of a SPA hydraulic hybrid truck
, Article 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009, Singapore, 14 July 2009 through 17 July 2009 ; 2009 , Pages 805-810 ; 9781424428533 (ISBN) ; Alasty, A ; Saadat Foumani, M ; Sharif University of Technology
2009
Abstract
An integrated procedure for mathematical modeling and power control balance for a SPA (Split Parallel Architecture) hydraulic hybrid vehicle is presented in this paper. Dynamic mathematical model of the powertrain is constructed firstly, which includes five modules: diesel engine, traction motor, starter, loading pump and accumulator. Based on the mathematic model of control modes a stability analysis is done. For some control modes a Sliding Mode Control is designed, which uses full-states closed-loop feedback. The paper finally illustrates and discusses the results of simulation. The results show that the performance and stability of control modes are proper and a power control strategy...
Long-Term electric vehicle planning in a microgrid
, Article 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, 21 May 2019 through 24 May 2019 ; 2019 , Pages 3467-3472 ; 9781728135205 (ISBN) ; Arriaga, M ; Ravanji, M. H ; Escriva Escriva, G ; IEEE; IEEE Power and Energy Society (PES) ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Isolated microgrids depend mainly on diesel generation and have polluting transportation. This is being addressed by the introduction of renewable energy resources and electric vehicles (EVs). Hence, this paper presents a novel long-term planning model for the introduction of EVs in isolated microgrids. This work studies the replacement of internal combustion vehicles with electric ones by analyzing their respective investment, maintenance and operation costs. Various case studies are discussed, considering different EV and solar photovoltaic (PV) penetration levels, and varying prices of diesel in the planning horizon. Results demonstrate that investing in EVs could significantly reduce net...
An experimental study on low temperature combustion in a light duty engine fueled with diesel/CNG and biodiesel/CNG
, Article Fuel ; Volume 262 , 2020 ; Nassiri Toosi, A ; Hosseini, V ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
Low temperature combustion potentially can improve engine efficiency coupled with the benefits of low nitrogen oxides, and particulate matter emissions, and vice versa high unburned hydrocarbon and carbon oxide emissions through in-cylinder fuel reactions. In this survey, the experiments were carried out using a modified one-cylinder reactivity controlled compression ignition engine, dual-fueled diesel/compressed natural gas and biodiesel/CNG, to investigate the effects of direct injection strategies on the engine combustion efficiency and emission characteristics. Different ratios of biodiesel blends at different premixed ratios were applied to the dual-fuel engine. The results showed that...
Accurate prediction of kinematic viscosity of biodiesels and their blends with diesel fuels
, Article JAOCS, Journal of the American Oil Chemists' Society ; Volume 97, Issue 10 , September , 2020 , Pages 1083-1094 ; Nikbin Fashkacheh, H ; Zand, N ; Najafi Marghmaleki, A ; Sharif University of Technology
Wiley-Blackwell
2020
Abstract
Viscosity of mixtures of biodiesels (admixtures) and mixtures of biodiesel/diesel (blends) is a important parameter for determining their combustion behavior. There is no universal and general model for prediction of viscosity of these systems at different conditions. Hence, developing simple, accurate, and general models for prediction of viscosity of these systems is of great importance. In this work, three computer-based models named multilayer perceptron neural network (MLP-NN), radial basis function optimized by particle swarm optimization (PSO-RBF), and adaptive neuro fuzzy inference system optimized by hybrid approach (Hybrid-ANFIS) were developed for prediction of viscosity of blends...
Optimal configuration of a 4-DOF dual-arm cam-lock manipulator
, Article 31st Mechanisms and Robotics Conference, presented at - 2007 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2007, Las Vegas, NV, 4 September 2007 through 7 September 2007 ; Volume 8 PART B , 2008 , Pages 1101-1107 ; 0791848027 (ISBN); 9780791848029 (ISBN); 0791848094 (ISBN); 9780791848098 (ISBN) ; Meghdari, A ; Sohrabpour, S ; Jelodar, M. S ; Sharif University of Technology
2008
Abstract
The Dual-Arm Cam-Lock (DACL) robot manipulators are reconfigurable arms formed by two parallel cooperative manipulators. Some of their joints may lock into each other. Therefore, the arms normally operate redundantly. However, when higher structural stiffness is needed these two arms can lock into each other in specific joints and loose some degrees of freedom. In this paper, the dynamics of the DACL robot is discussed and parametrically formulated. On the other hand, the criteria and implementation of genetic algorithm (GA) to optimize the configuration of DACL robot manipulators at a specific point with the objective to maximize the cooperatively applicable task-space force in a desired...
Neural controller for a 5-link planar biped robot
, Article 16th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN, Jeju, 26 August 2007 through 29 August 2007 ; 2007 , Pages 980-985 ; 1424416345 (ISBN); 9781424416349 (ISBN) ; Hamed, K ; Sharif University of Technology
2007
Abstract
The canonical problems in control of the biped robots arise from underactuation, impulsive nature of the impact with the environment and existence of the many degrees of freedom in their mechanism. Since biped walkers have fewer actuators than degrees of freedom, they are underactuated mechanical systems. In this paper according to the humans and animals locomotion algorithms, the stability of an underactuated biped walker with point feet is done by central pattern generator and feedback networks. For tuning the parameters of the CPG network, the control problem is defined as an optimization problem. This optimization problem is solved by using of Genetic algorithm. Also a new feedback...
Modeling superconductive fault current limiter using constructive neural networks
, Article 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007, Caixanova - Vigo, 4 June 2007 through 7 June 2007 ; 2007 , Pages 2859-2863 ; 1424407559 (ISBN); 9781424407552 (ISBN) ; Sadati, N ; Hosseini, M. N ; Sharif University of Technology
2007
Abstract
Although so many advances have been proposed in the field of artificial intelligence and superconductivity, there are few reports on their combination. On the other hand, because of the nonlinear and multivariable characteristics of the superconductive elements and capabilities of neural networks in this field, it seems useful to apply the neural networks to model and control the superconductive phenomena or devices. In this paper, a new constructive neural network (CNN) trained by two different optimization algorithms; back-propagation and genetic algorithm, is proposed which models the behavior of the superconductive fault current limiters (SFCLs). Simulation results show that the proposed...
Dynamic identification of inelastic shear frames by using Prandtl-Ishlinskii model
, Article 18th IASTED International Conference on Modelling and Simulation, MOAS 2007, Montreal, QC, 30 May 2007 through 1 June 2007 ; 2007 , Pages 284-288 ; 10218181 (ISSN) ; 9780889866638 (ISBN) ; Joghataie, A ; Sharif University of Technology
2007
Abstract
In this paper, a new method is proposed for the identification of inelastic shear frame structures with hysteresis, using data collected on their dynamic response. It uses the Prandtl-Ishlinskii rate independent model for hysteresis. The proposed identification method is capable of identifying the mass, damping and restoring force of a frame structure, which can be used in forming the equations of motion of the frame. By solving the equations of motion, the dynamic response is predicted. The method is based on the combined using of the Quadratic Programming (QP) and Genetic Algorithms (GA). First, assuming a set of Prandtl-Ishlinskii constants, the QP is used to find the best frame...
Genetic algorithm based optimization for dual-arm cam-lock robot configuration
, Article 2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Zurich, 4 September 2007 through 7 September 2007 ; December , 2007 ; 1424412641 (ISBN); 9781424412648 (ISBN) ; Meghdari, A ; Sohrabpour, S ; Salmani Jelodar, M ; Sharif University of Technology
2007
Abstract
Cooperative systems have been extensively investigated in literature. Herein the criteria and implementation for finding the optimal configuration of the Dual-Arm Cam-Lock (DACL) robot manipulators at a specific point with the objective to optimize the applicable task-space force in a desired direction are addressed. The DACL robot manipulators are reconfigurable arms formed by two parallel cooperative manipulators. Some of their joints may lock into each other. Therefore, the arms normally operate redundantly. However, when higher structural stiffness is needed these two arms can lock into each other in specific joints and loose some degrees of freedom. The dynamics of the DACL robot is...
Rule based classifier generation using symbiotic evolutionary algorithm
, Article 19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2007, Patras, 29 October 2007 through 31 October 2007 ; Volume 1 , January , 2007 , Pages 458-464 ; 10823409 (ISSN); 076953015X (ISBN); 9780769530154 (ISBN) ; Bagheri Shouraki, S ; Esfandiar, P ; Lotfi, S ; Sharif University of Technology
2007
Abstract
Genetic Algorithms are vastly used in development of rule based classifier systems in data mining. In such tasks, the rule base is usually a set of If-Then rules and the rules are developed using an evolutionary trait. GA is usually a good solution for such tasks as it globally searches for good rule-sets without any prior bias or greedy force, but it is usually slow. This paper presents a novel algorithm for rule base generation based on natural process of symbiogenesis. The algorithm uses symbiotic combination operator instead of traditional sexual recombination operator of genetic algorithms. The new algorithm is compared with genetic algorithm on some globally used benchmarks and it is...
Symbiotic tabu search, a general evolutionary optimization approach
, Article 7th International Conference on Hybrid Intelligent Systems, HIS 2007, Kaiserslautern, 17 September 2007 through 19 September 2007 ; October , 2007 , Pages 138-143 ; 0769529461 (ISBN); 9780769529462 (ISBN) ; Shouraki, S. B ; Jashmi, B. J ; Heravi, M. J ; Sharif University of Technology
2007
Abstract
Recombination in the Genetic Algorithm (GA) is supposed to extract the component characteristics from two parents and reassemble them in different combinations - hopefully producing an offspring that has the good characteristics of both parents. Symbiotic Combination is formerly introduced as an alternative for sexual recombination operator to overcome the need of explicit design of recombination operators in GA. This paper presents an optimization algorithm based on using this operator in Tabu Search. The algorithm is benchmarked on two problem sets and is compared with standard genetic algorithm and symbiotic evolutionary adaptation model, showing success rates higher than both cited...
Intrusion detection via fuzzy-genetic algorithm combination with evolutionary algorithms
, Article 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007, Melbourne, VIC, 11 July 2007 through 13 July 2007 ; July , 2007 , Pages 587-591 ; 0769528414 (ISBN); 9780769528410 (ISBN) ; Esmaeili, M ; Saremi, A ; Mousavi, V. R ; Sharif University of Technology
2007
Abstract
In this paper with the use of fuzzy genetic algorithm combination with evolutionary algorithms, as a method for local searching, it has been tried to exploit high capabilities of genetic algorithm, as a search algorithm, beside to other evolutionary algorithms, as local search algorithms, in order to increase efficiency of a rule learning system. For this purpose three hybrid algorithms have been used for solving the intrusion detection problem. These three algorithms are combination of genetic algorithm and SFL and PSO as three evolutionary algorithms which try to introduce efficient solutions for complex optimization problems by patterning from natural treatments. © 2007 IEEE
Neural control of a fully actuated biped robot
, Article 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006, Kunming, 17 December 2006 through 20 December 2006 ; 2006 , Pages 1299-1304 ; 1424405718 (ISBN); 9781424405718 (ISBN) ; Hamed, K. A ; Sharif University of Technology
2006
Abstract
According to the fact that humans and animals show marvelous abilities in walking on irregular terrain, there is a strong need for adaptive algorithms in walking of biped robots to behave like them. Since the stance leg can easily rise from the ground and it can easily rotate about the toe or the heel, the problem of controlling the biped robots is difficult. In this paper, according to the adaptive locomotion patterns of animals, coordination and control of body links have been done with Central Pattern Generator (CPG) in spinal cord and feedback network from musculoskeletal system. A one layer feedforward neural network that its inputs are the scaled joint variables and the touch sensors...
The effect of acid treatment and calcination on the modification of zeolite X in diesel fuel hydrodesulphurization
, Article Canadian Journal of Chemical Engineering ; Volume 100, Issue 11 , 2022 , Pages 3357-3366 ; 00084034 (ISSN) ; Kazemeini, M ; Soltanali, S ; Rashidzadeh, M ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
Faujasite (X, Y) zeolites are considered the main and important catalysts in hydrorefining processes. In order to obtain zeolites with higher acidity and volume of mesopores, post-synthesis modification, dealumination by different pickling techniques (using ethylenediamine tetraacetic acid [EDTA] chelating agent), and thermal treatment (calcination) were employed. The dealumination process led to the removal of the aluminum atoms from the zeolite structure and a rise in acidity while maintaining the zeolite crystalline lattice. X-ray diffraction (XRD), atomic absorption spectrometry (AAS), Fourier-transform infrared (FT-IR), field-emission scanning electron microscopy (FE-SEM),...
Modeling the dual-fuel combustion of porous lycopodium particles and diesel using an analytical simulation framework
, Article Journal of Analytical and Applied Pyrolysis ; Volume 163 , 2022 ; 01652370 (ISSN) ; Akbari, S ; Faghiri, S ; Sadeghi, S ; Xu, F ; Sharif University of Technology
Elsevier B.V
2022
Abstract
In this paper, a comprehensive analytical study is performed to assess the lycopodium-diesel dual-fuel combustion system in counter-flow premixed configuration. The system is modeled as multiple zones that are coupled together via proper boundary and jump conditions on interfaces. According to the respective reaction and transport phenomena in these zones, conservation equations of mass and energy are derived, non-dimensionalized, and solved by Matlab and Mathematica in an analytical way. The porosity of lycopodium particles and the thermal radiation from the reaction zone and the post-flame zones into the preheating zone are considered, in order to improve the realism and accuracy of the...
Detailed analysis of the effects of biodiesel fraction increase on the combustion stability and characteristics of a reactivity‐ controlled compression ignition diesel‐biodiesel/natural gas engine
, Article Energies ; Volume 15, Issue 3 , 2022 ; 19961073 (ISSN) ; Hosseini, V ; Sharif University of Technology
MDPI
2022
Abstract
A single‐cylinder marine diesel engine was modified to be operated in reactivity controlled compression ignition (RCCI) combustion mode. The engine fueling system was upgraded to a common rail fuel injection system. Natural gas (NG) was used as port fuel injection, and a die-sel/sunflower methyl ester biodiesel mixture was used for direct fuel injection. The fraction of bio-diesel in the direct fuel injection was changed from 0% (B0; 0% biodiesel and 100% diesel) to 5% (B5) and 20% (B20) while keeping the total energy input into the engine constant. The objective was to understand the impacts of the increased biodiesel fraction on the combustion characteristics and stability, emissions, and...
Influence of adding a modified zeolite-Y onto the NiMo/Al2O3 catalyst utilized to produce a diesel fuel with highly reduced sulfur content
, Article Microporous and Mesoporous Materials ; Volume 332 , 2022 ; 13871811 (ISSN) ; Kazemeini, M ; Soltanali, S ; Rashidzadeh, M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
In order to make a Na–Y zeolite with Si/Al ratio of 2.27 more acidic with a higher volume of mesopores, a combination of different and consecutive methods including; chemical (i.e.; utilizing different compounds, such as NH4F and EDTA) and thermal/hydrothermal (i.e.; implementing calcination/steaming) methods, were employed for modification and dealumination. The combination of acidic-hydrothermal dealumination method led to a further structural collapse compared to that of the acidic calcination. In comparison with the other dealumination methods, the fluorination strategy (i.e.; utilizing NH4F) resulted in a zeolite with higher crystallinity, acidity, and specific surface area. The...
Numerical simulation of thermal barrier coating system under thermo-mechanical loadings
, Article Proceedings of the World Congress on Engineering 2011, WCE 2011, 6 July 2011 through 8 July 2011 ; Volume 3 , July , 2011 , Pages 1959-1964 ; 9789881925152 (ISBN) ; Azadi, M ; Farrahi, G. H ; Sharif University of Technology
2011
Abstract
In the present paper, numerical simulation of thermal barrier coating system under thermo-mechanical loadings is performed, using the finite element method in ABAQUS software. The base material is Aluminum-silicon alloy, A356.0 which is widely used in automotive components such as diesel engine cylinder heads. Thermal barrier coatings (TBCs) are applied to combustion chamber in order to reduce fuel consumption and pollutions and also improve fatigue life of components. The roughness effect of coating layers on stress distribution of test specimens is investigated. Semi-ellipsoid roughness of the interfaces between substrate/bond coat and bond coat/top coat are simulated to get the stress...