The aim of this paper is to model and simulate a cantilever beam as energy harvester to expose to wind vibrations. A mathematical model describes the behavior of cantilever beam and the electromechanical coupling, usi...
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ISBN:
(纸本)9781479999835
The aim of this paper is to model and simulate a cantilever beam as energy harvester to expose to wind vibrations. A mathematical model describes the behavior of cantilever beam and the electromechanical coupling, using piezoelectric constitutive equations. An experimental setup of a fixed configuration (dimensions, materials, boundaries and shape) is performed by means of such device and the effects caused by the wind force on the cantilever are analyzed. The same device is used for a simulation, implemented with Comsol Multiphysics, in which wind force is simulated like a pressure acting on the cantilever. The comparison between simulation and experimental results validates the simulation method and allows an appropriate choice of the most suitable shape for this kind of cantilever: the choice is carried out using the optimization platform KIMEME.
Transportation facility or automotive service enterprise location is an interesting and important *** improve transportation efficient,lots of researchers have addressed traditional facility location allocation(FLA) p...
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ISBN:
(纸本)9781510823808
Transportation facility or automotive service enterprise location is an interesting and important *** improve transportation efficient,lots of researchers have addressed traditional facility location allocation(FLA) problem,e.g.,the FLA problem with the minimum transportation cost or the maximum obtained *** work aims to optimize obsolete vehicle location with the minimum transportation ***,the return center location on obsolete vehicle is influenced by regional ***,the regional constraint should be considered as factors influencing the FLA *** handle this issue via a more practical method,this work proposes an economic optimal model with region constraints for an automotive service *** is,by taking the vehicle return center as a typical automotive service enterprise and an example,this work presents its new economic optimal models considering region and non-region *** artificial fish swarm algorithm is proposed to solve the proposed *** numerical examples are given to illustrate the proposed models and testify the effectiveness of the algorithm.
Effective control laws for mechanical systems are best designed by professionals who understand both the basic mechanics of the system under consideration and the control methodology being used to design the cont...
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ISBN:
(数字)9781600862076
ISBN:
(纸本)9781563470547
Effective control laws for mechanical systems are best designed by professionals who understand both the basic mechanics of the system under consideration and the control methodology being used to design the control law. This textbook blends two traditional disciplines: engineering mechanics and control engineering. Beginning with theory, the authors proceed through computation to laboratory experiment and present actual case studies to illustrate practical aerospace applications. Intended for first-year graduate students in engineering and applied science, this book will help structural dynamists and control engineers gain broad competence in mechanics and control. A solutions manual is available for professors.
Distributed inductive power transfer (IPT) systems address the range restrictions of electric vehicles (EVs), charging the battery on-road through a loosely coupled transformer. Comparing different primary and seconda...
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ISBN:
(纸本)9781479922635
Distributed inductive power transfer (IPT) systems address the range restrictions of electric vehicles (EVs), charging the battery on-road through a loosely coupled transformer. Comparing different primary and secondary coil topologies is the main objective of this paper. Variations including single and multiphase layouts are analyzed by laboratory experimentation and finite element simulations. A system parameter optimization algorithm is introduced, utilizing sensitivity analysis techniques and equivalent circuit representation. Interphase power circulation in multiphase system primaries is addressed by a terminal correction setup, minimizing the interphase mutual inductance. The optimized designs are compared in terms of power and efficiency under alignment variations.
The use of fractional-order to describe an actual system can better reveal its essential characteristics and its *** description and analysis of an irrational fractional-order system are more complicated than that of ...
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ISBN:
(纸本)9781665478977
The use of fractional-order to describe an actual system can better reveal its essential characteristics and its *** description and analysis of an irrational fractional-order system are more complicated than that of a rational fractional-order *** solve this difficulty,this paper studies its system identification and controller design for the characteristics of such ***,based on the frequency domain response data of these systems,combined with the optimization algorithm to realize the rationalization of them,the curves fitting are used to illustrate the correctness and effectiveness of the identification ***,based on the identified rational models,the optimum controllers are *** response comparison shows that the performance of fractional-order controllers is superior to that of traditional integer-order ***,through the block diagram implementation,the effectiveness and correctness of the fractional-order controller design are explained.
This paper proposed an improved Stud Genetic algorithm using the Opposition-based strategy(SGAO) to improve the performance of the traditional SGA and accelerate its convergence *** SGAO,we use opposition-based approa...
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ISBN:
(纸本)9781510823808
This paper proposed an improved Stud Genetic algorithm using the Opposition-based strategy(SGAO) to improve the performance of the traditional SGA and accelerate its convergence *** SGAO,we use opposition-based approach to initialize the population and to perform mutation with the aim to improve the quality of *** experiments,we use some benchmark functions to the show the performance of the proposed approach and compare it with other algorithms such as genetic algorithm,different evolutionary,particle swarm optimization and stud genetic *** show that SGAO has faster convergence speed and higher solution precision.
A modified dynamic lattice searching (DLS) method is developed to study on structure evolution of metal oxide clusters with increase size (n) in different proportion[the ratio of metal atoms to oxygen atoms,includ...
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A modified dynamic lattice searching (DLS) method is developed to study on structure evolution of metal oxide clusters with increase size (n) in different proportion[the ratio of metal atoms to oxygen atoms,including MO,MO (or MO),MO,MO].Results show that,for MO clusters,the main configurations of the cluster evolve from tubular to cubic with cluster *** MO clusters,the configurations of suspended oxygen atoms are more popular at small *** structures are more stable for a large range of cluster *** MO clusters,the pyramid unit is found in most of the stable structures,in which a central atom followed by four oxygen *** small size,the lowest energy structures maintain high symmetry,but structural symmetry are destroyed at large cluster *** MO clusters,the cage structures are the most stable,which consist of (MO) and(MO) *** contrast to the MO clusters,the MO clusters tend to have cage structures linked to quadrihedron *** relative stability for clusters are compared by the second order finite difference parameter.
Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, Harmony Search(HS) has been recently proposed for solving engineering optimization problems. The HS has s...
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Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, Harmony Search(HS) has been recently proposed for solving engineering optimization problems. The HS has some weaknesses such as parameters selection and falling in local optima. Many variants proposed to solve these problems. This paper presents successful hybrid algorithms with high performance to solve the pressure vessel design simulation. The hybrid algorithms consist of wellknown variants of HS and an opposition-based learning technique. The hybrid algorithm improved the HS exploration and avoiding falling in local optima, which lead the algorithm to provide significant results.
Because most mechanical instruments have no special intelligent interface, it is difficult to achieve automatic data acquisition, at the same time the domestic meter specifications have not been completely unified, so...
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ISBN:
(纸本)9781450387811
Because most mechanical instruments have no special intelligent interface, it is difficult to achieve automatic data acquisition, at the same time the domestic meter specifications have not been completely unified, so it is difficult to achieve high accuracy and high efficiency by manual data collection. In recent years, with the continuous development of information technology and computer hardware, people's demand for intelligence is also increasing. In this paper, through the optimization of the meter image preprocessing a convolution neural network model based on improved LeNet-5 is proposed to identify the meter image. Using ReLU function instead of traditional sigmoid function to solve the problem of gradient dispersion, and using max pooling to improve the sampling richness. Adding the dropout function in the full connection layer to prevent the neural network from over fitting. The experimental results show that the prediction results can be improved by optimizing the image preprocessing and improving the network model of LeNet-5. The accuracy rate can reach 99.8%, and the recognition speed is fast.
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