Optimization techniques
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Optimisation
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Het onderwijs gaat vaak uit van de gemiddelde leerling. Dat doet kinderen die daar net onder of boven zitten tekort. Een programma ontwikkeld door onderzoekers van de Radboud Universiteit en de Open Universiteit Nederland gaat uit van de... more
Het onderwijs gaat vaak uit van de gemiddelde leerling. Dat doet kinderen die daar net onder of boven zitten tekort. Een programma ontwikkeld door onderzoekers van de Radboud Universiteit en de Open Universiteit Nederland gaat uit van de capaciteiten van de individuele leerling zelf. Zo krijgen ook kinderen met een ontwikkelingsvoorsprong al vanaf begin groep 1 het onderwijs dat ze verdienen.
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The quest for an engine to increase mileage has started before many years. Many automobile manufacturing industries are doing more research on how to increase mileage of vehicle. In today’s automobile competition every manufacturer is... more
The quest for an engine to increase mileage has started before many years. Many automobile
manufacturing industries are doing more research on how to increase mileage of vehicle. In today’s
automobile competition every manufacturer is focusing on weight reduction of vehicle by considering
this objective, this paper focuses on providing alternative material. The objective of the present work is
to optimize weight reduction to increase mileage of vehicle. Saving grams at different parts in a car
helps us in saving some kilograms at the end of the design. Also the main material like polyimide for
automobile component manufacturing can be the best alternative solution in all respect. The focus of
this paper is on weight reduction of master cylinder. For modeling and analysis PRO-E and ANSYS is
used. The results obtained are comparatively better than existing materials and polyimide can be the
alternative solution for automotive component.
Keywords: Hydraulic braking system; Master cylinder; Polyimide, ANSYS
manufacturing industries are doing more research on how to increase mileage of vehicle. In today’s
automobile competition every manufacturer is focusing on weight reduction of vehicle by considering
this objective, this paper focuses on providing alternative material. The objective of the present work is
to optimize weight reduction to increase mileage of vehicle. Saving grams at different parts in a car
helps us in saving some kilograms at the end of the design. Also the main material like polyimide for
automobile component manufacturing can be the best alternative solution in all respect. The focus of
this paper is on weight reduction of master cylinder. For modeling and analysis PRO-E and ANSYS is
used. The results obtained are comparatively better than existing materials and polyimide can be the
alternative solution for automotive component.
Keywords: Hydraulic braking system; Master cylinder; Polyimide, ANSYS
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The network coding problem (NCP), which aims to minimize network coding resources such as nodes and links, is a relatively new application of genetic algorithms (GAs) and hence little work has so far been reported in this area. Most of... more
The network coding problem (NCP), which aims to minimize network coding resources such as nodes and links, is a relatively new application of genetic algorithms (GAs) and hence little work has so far been reported in this area. Most of the existing literature on NCP has concentrated primarily on the static network coding problem (SNCP). There is a common assumption in work to date that a target rate is always achievable at every sink as long as coding is allowed at all nodes. In most real-world networks, such as wireless networks, any link could be disconnected at any time. This implies that every time a change occurs in the network topology, a new target rate must be determined. The SNCP software implementation then has to be re-run to try to optimize the coding based on the new target rate. In contrast, the GA proposed in this paper is designed with the dynamic network coding problem (DNCP) as the major concern. To this end, a more general formulation of the NCP is described. The new NCP model considers not only the minimization of network coding resources but also the maximization of the rate actually achieved at sinks. This is particularly important to the DNCP, where the target rate may become unachievable due to network topology changes. Based on the new NCP model, an effective GA is designed by integrating selected new problem-specific heuristic rules into the evolutionary process in order to better diversify chromosomes. In dynamic environments, the new GA does not need to recalculate target rate and also exhibits some degree of robustness against network topology changes. Comparative experiments on both SNCP and DNCP illustrate the effectiveness of our new model and algorithm.
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These are some examples GNU Octave scripts that solve some of the problems mentioned in the Engineering optimization textbook of S S Rao. Comments and corrections are welcome.
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This paper presents a fuzzy logic artificial intelligence technique for predicting the machining performance of Al-Si-Cu-Fe die casting alloy treated with different additives including strontium, bismuth and antimony to improve surface... more
This paper presents a fuzzy logic artificial intelligence technique for predicting the machining performance of Al-Si-Cu-Fe die casting alloy treated with different additives including strontium, bismuth and antimony to improve surface roughness. The Pareto-ANOVA optimization method was used to obtain the optimum parameter conditions for the machining process. Experiments were carried out using oblique dry CNC turning. The machining parameters of cutting speed, feed rate and depth of cut were optimized according to surface roughness values. The results indicated that a cutting speed of 250 m/min, a feed rate of 0.05 mm/rev, and a depth of cut of 0.15 mm were the optimum CNC dry turning conditions. The results also indicated that Sr and Sb had a negative effect on workpiece machinability. The workpiece containing Bi exhibited the lowest surface roughness value, likely due to the formation of pure Bi that acted as lubricant during turning. A confirmation experiment was performed to check the validity of the model developed in this paper, and the predicted surface roughness came had an error rate of only 5.4%. (C) 2014 Elsevier Ltd. All rights reserved.
http://www.sciencedirect.com/science/article/pii/S0263224114004679
www.researchgate.net/profile/Saeed_Farahany/publication/267990269_Fuzzy_Logic_Based_Model_for_Predicting_Surface_Roughness_of_Machined_Al-Si-Cu-Fe_Die_Casting_Alloy_Using_Different_Additives-Turning/links/546caa4e0cf2a80cf2e0eb89.pdf
http://www.sciencedirect.com/science/article/pii/S0263224114004679
www.researchgate.net/profile/Saeed_Farahany/publication/267990269_Fuzzy_Logic_Based_Model_for_Predicting_Surface_Roughness_of_Machined_Al-Si-Cu-Fe_Die_Casting_Alloy_Using_Different_Additives-Turning/links/546caa4e0cf2a80cf2e0eb89.pdf
Research Interests: Microstructure, Lifelong Learning, Fuzzy Logic, Composites, Signal Integrity, and 11 moreOptimization techniques, Surface Roughness, Aluminum, Turning, Adaptive Neuro-Fuzzy Inference Systems, bismuth(III) oxide, Pvd Coatings, Antimony, AL7075-T6 Alloy, Parameters for Site Analysis, and TiN-coated carbide tools
The author has developed a theory on optimal trajectories for air vehicles with variable wing areas and with conventional wings. He applied a new theory of singular optimal solutions and obtained in many cases the optimal flight. The... more
The author has developed a theory on optimal trajectories for air vehicles with variable wing areas and with conventional wings. He applied a new theory of singular optimal solutions and obtained in many cases the optimal flight. The wing drag of a variable area wing does not depend on air speed and air density. At first glance the results may seem strange, however, this is the case and this chapter will show how the new theory may be used. The equations that follow enable computations of the optimal control and optimal trajectories of subsonic aircraft with pistons, jets, and rocket engines, supersonic aircraft, winged bombs with and without engines, hypersonic warheads, and missiles with wings.
The main idea of the research is to use the vehicle’s kinetic energy to increase the range of missiles and projectiles.
The author shows that the range of a ballistic warhead can be increased 3–4 times if an optimal wing is added to it, especially a wing with variable area. If we do not need increased range, the head mass of rockets can be increased. The range of large gun shells can also be increased 3–9 times. The range of an aircraft may be improved by 3–15% or more.
The results can be used for the design of aircraft, space ship, head of rockets, missiles, flying apparatus and shells for large guns.
The main idea of the research is to use the vehicle’s kinetic energy to increase the range of missiles and projectiles.
The author shows that the range of a ballistic warhead can be increased 3–4 times if an optimal wing is added to it, especially a wing with variable area. If we do not need increased range, the head mass of rockets can be increased. The range of large gun shells can also be increased 3–9 times. The range of an aircraft may be improved by 3–15% or more.
The results can be used for the design of aircraft, space ship, head of rockets, missiles, flying apparatus and shells for large guns.
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As a result of miniaturisation, electronic products are shrinking in size and weight but with greater pressure for cost reduction. Heat fluxes have increased considerably and hence thermal management becomes crucial from the reliability... more
As a result of miniaturisation, electronic products are shrinking in size and weight but with greater pressure for cost reduction. Heat fluxes have increased considerably and hence thermal management becomes crucial from the reliability point of view. Thermoacoustic heat engines provide a practical solution to the problem of heat management in microcircuits where they can be used to pump heat or produce spot cooling of specific circuit elements. However, the most inhibiting characteristic of thermoacoustic cooling is its current lack of efficiency. A multiobjective optimization approach is presented to model and optimize a small-scale thermoacoustic regenerator. Optimization of multiple objectives components is considered and global optimal solutions have been identified using the epsilon constraint method.
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This paper studies the particle swarm optimization (PSO) with switched topology (SW-TOPO) and its application to the multi-optima problems (M-OPT). Particles converge at multiple optima simultaneously, since SW-TOPO disconnect the... more
This paper studies the particle swarm optimization (PSO) with switched topology (SW-TOPO) and its application to the multi-optima problems (M-OPT). Particles converge at multiple optima simultaneously, since SW-TOPO disconnect the transmission of information and separate the topology of the particles. We introduce the switching path length as a basic measure to evaluate the switched topology. Also, applying the proposed PSO to typical benchmark functions of the M-OPT, the algorithm efficiency is investigated.
Research Interests: Optimization techniques, Particle Swarm Optimization, Meta-Heuristics (Tabu Search, Genetic Algorithms, Simulated Annealing, Ant-Colony, Particle Swarm Optimization), Optimization Algorithms (GA-PSO-GSA-ACO...), Network Topology, and 3 moreNetwork structure, Dynamic Network Topology, and Particle Swarm Optimization PSO)
Catalyst size, which determines surface area, is one of the major factors in catalytic performance. In this study, response surface methodology (RSM) and an adaptive neuro-fuzzy inference system (ANFIS) were applied to quantify the... more
Catalyst size, which determines surface area, is one of the major factors in catalytic performance. In this study, response surface methodology (RSM) and an adaptive neuro-fuzzy inference system (ANFIS) were applied to quantify the effects of physical characteristics of magnetite on Fenton-like oxidation efficiency of methylene blue. For this purpose, two magnetite samples (M and N) were used and characterized by XRD, BET surface area, particle size analyzer and FE-SEM. Central composite design (CCD) was applied to design the experiments, develop regression models, optimize and evaluate the individual and interactive effects of five independent variables: H2O2 and catalyst concentrations, pH, reaction time (numeric factors) and the type of catalyst (categorical factor). For each categorical factor, three quadratic models were developed regarding target responses: decolorization (Y-MB), COD (Y-COD) and TOC (Y-TOC) removal efficiencies (%). The quadratic models were estimated by CCD and ANFIS methodologies. ANFIS was implemented using Matlab/Simulink and the performances were investigated. ANFIS models performed better for catalyst N compared to catalyst M, for color, COD and TOC separately. On contrary, it performed better for catalyst M compared to catalyst N, for combinations of color, COD and TOC. The obtained RMSE and R-2 for the ANFIS networks show the effectiveness of catalyst N compared to catalyst M in Fenton oxidation process. (C) 2014 Elsevier Ltd. All rights reserved.
www.sciencedirect.com/science/article/pii/S0263224114004400
http://umexpert.um.edu.my/file/publication/00003241_115903.pdf
https://www.researchgate.net/publication/265794123_Estimation_of_the_effect_of_catalyst_physical_characteristics_on_Fenton-like_oxidation_efficiency_using_adaptive_neuro-fuzzy_computing_technique
www.sciencedirect.com/science/article/pii/S0263224114004400
http://umexpert.um.edu.my/file/publication/00003241_115903.pdf
https://www.researchgate.net/publication/265794123_Estimation_of_the_effect_of_catalyst_physical_characteristics_on_Fenton-like_oxidation_efficiency_using_adaptive_neuro-fuzzy_computing_technique
Research Interests: Response Surface Methodology, Carbon Nanotubes, Optimization techniques, Removal Of Heavy Metals In Contaminated Soils, adaptive neuro fuzzy inference system (ANFIS), and 9 moreDYE DECOLORİZATİON, Methylene Blue, Carbamazepine, Land Degradation, Skarn Magnetite Deposit, Phonological Neutralization, Central Composite Design, Adsorption capacity of chitosan beads in toxic solutions, and Heterogeneous Fenton Treatment
The effects of polymer concentration and electrospinning parameters on the diameter of electrospun polymethyl methacrylate (PMMA) fibers were experimentally investigated. It was also studied how the controlled factors would affect the... more
The effects of polymer concentration and electrospinning parameters on the diameter of electrospun polymethyl methacrylate (PMMA) fibers were experimentally investigated. It was also studied how the controlled factors would affect the output with the intention of finding the optimal electrospinning settings in order to obtain the smallest PMMA fiber diameter. Subsequently the solution feed rate, needle gauge diameter, supply voltage, polymer concentration and tip-to-collector distance were considered as the control factors. To achieve these aims, Taguchi's mixed-level parameter design (L-18) was employed for the experimental design. Optimal electrospinning conditions were determined using the signal-to-noise (S/N) ratio that was calculated from the electrospun PMMA fiber diameter according to the-smaller-the-better approach. Accordingly, the smallest fiber diameter observed was 228 (+/- 76) nm and it was yielded at 15wt% polymer concentration, 20kV of supply voltage, 1ml/h feed rate, 15cm tip-to-distance and 19 needle gauge. Moreover, the S/N ratio response showed that the polymer concentration was the most effective parameter on determination of fiber diameter followed by feed rate, tip-to distance, needle gauge and voltage, respectively. The Taguchi design of experiments method has been found to be an effective approach to statistically optimize the critical parameters used in electrospinning so as to effectively tailor the resulting electrospun fiber diameters and morphology.
http://trj.sagepub.com/content/early/2014/08/21/0040517514547208.abstract
http://repository.um.edu.my/94344/1/Textile%20Research%20Journal%20-%20Electrospinning,Taguchi%20Design%20of%20Experiments%28UMRG%20RP021-2012B%20and%20UMRG%20RP021-2012C%20n%20HIR%29%20%281%29.pdf
www.researchgate.net/profile/Hossein_Mohammad_Khanlou/publication/268209880_Electrospinning_of_polymethyl_methacrylate_nanofibers_optimization_of_processing_parameters_using_the_Taguchi_design_of_experiments/links/5464395f0cf2cb7e9da9a701.pdf
http://trj.sagepub.com/content/early/2014/08/21/0040517514547208.abstract
http://repository.um.edu.my/94344/1/Textile%20Research%20Journal%20-%20Electrospinning,Taguchi%20Design%20of%20Experiments%28UMRG%20RP021-2012B%20and%20UMRG%20RP021-2012C%20n%20HIR%29%20%281%29.pdf
www.researchgate.net/profile/Hossein_Mohammad_Khanlou/publication/268209880_Electrospinning_of_polymethyl_methacrylate_nanofibers_optimization_of_processing_parameters_using_the_Taguchi_design_of_experiments/links/5464395f0cf2cb7e9da9a701.pdf
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One of the features that characterize renewable energy sources is their variability and intermittency. Intermittency covers both the predictable and unpredictable variations of their power outputs and uncertainty in the power... more
One of the features that characterize renewable energy sources is their variability and intermittency. Intermittency covers both the predictable and unpredictable variations of their power outputs and uncertainty in the power availability. To overcome the drawback of intermittency, special design considerations should be taken into account. These additional design considerations increases the overall cost of the renewable energy systems. Adding storage system and/or backup source to the renewable sources is one of the measures used to guarantee the continuity of power supply to the loads, and therefore improve the reliability of the renewable energy systems. The operation of renewable energy systems results in the creation of surplus energy, which is the energy generated by renewable energy systems, but is not consumed by the loads in standalone power systems. Effective utilization of this excess energy has the potential to decrease the cost of energy (CUE) production by these hybrid renewable energy systems. In this paper, a review of the literature will be carried out in order to provide further insight into the approaches suggested in the literature on how to deal with the utilization of excess energy. Furthermore, various possible configurations of hybrid systems will be analyzed in detail for the effective utilization of the excess energy produced by hybrid systems. This is done in order to evaluate the effectiveness of utilization of excess energy by various means, especially for improving the living space comfort ability and decreasing the COE. Case studies will be carried out to demonstrate the proposed configurations for the effective utilization of the excess energy, and the results will be presented. (C) 2014 Elsevier Ltd. All rights reserved.
http://www.sciencedirect.com/science/article/pii/S1364032114008764
https://ideas.repec.org/a/eee/rensus/v42y2015icp726-734.html
http://www.sciencedirect.com/science/article/pii/S1364032114008764
https://ideas.repec.org/a/eee/rensus/v42y2015icp726-734.html