Sequential Subspace Optimization Method for Electromagnetic Devices Design With Orthogonal Design Technique

2012 ◽  
Vol 48 (2) ◽  
pp. 479-482 ◽  
Author(s):  
Gang Lei ◽  
Y. G. Guo ◽  
J. G. Zhu ◽  
X. M. Chen ◽  
W. Xu ◽  
...  
Keyword(s):  
Orthogonal Design ◽  
Optimization Method ◽  
Design Technique ◽  
Electromagnetic Devices ◽  
Subspace Optimization

scholarly journals Optimization of a 3D-Printed Permanent Magnet Coupling Using Genetic Algorithm and Taguchi Method

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 494
Author(s):  
Ekaterina Andriushchenko ◽  
Ants Kallaste ◽  
Anouar Belahcen ◽  
Toomas Vaimann ◽  
Anton Rassõlkin ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Taguchi Method ◽  
Permanent Magnet ◽  
Optimization Problems ◽  
Optimization Method ◽  
Taguchi Optimization ◽  
Torque Density ◽  
Electromagnetic Devices ◽  
3D Printed ◽  
Manufacturing Techniques

In recent decades, the genetic algorithm (GA) has been extensively used in the design optimization of electromagnetic devices. Despite the great merits possessed by the GA, its processing procedure is highly time-consuming. On the contrary, the widely applied Taguchi optimization method is faster with comparable effectiveness in certain optimization problems. This study explores the abilities of both methods within the optimization of a permanent magnet coupling, where the optimization objectives are the minimization of coupling volume and maximization of transmitted torque. The optimal geometry of the coupling and the obtained characteristics achieved by both methods are nearly identical. The magnetic torque density is enhanced by more than 20%, while the volume is reduced by 17%. Yet, the Taguchi method is found to be more time-efficient and effective within the considered optimization problem. Thanks to the additive manufacturing techniques, the initial design and the sophisticated geometry of the Taguchi optimal designs are precisely fabricated. The performances of the coupling designs are validated using an experimental setup.

The Discussion on the Construction of City Waterfront Landscape Based on the Visual Angle of Ecology Restoration

2011 ◽  
Vol 243-249 ◽  
pp. 6827-6833 ◽  
Author(s):  
Gui Yuan Li ◽  
Zhong Yuan Duan ◽  
Yang Xu
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Visual Angle ◽  
Global Climate ◽  
Optimization Method ◽  
Water Shortage ◽  
Practical Significance ◽  
Living Standard ◽  
Design Technique ◽  
The Sustainable Development

In recent years, with the increase of population, the development of urbanization, and the improvement of people’s living standard, people have got an increasingly strong consciousness of environment landscape. While, the global climate change, water shortage and pollution problems which are resulted in the development of social economy.In this article, according to the different traits of waterfront landscape environment, we will analyze the problems of waterfront landscape environment construction, and discuss the design technique of waterfront landscape and the optimization method of landscape environment based on the visual angle of ecology restoration. This can prompt the development of waterfront landscape environment towards the harmony and intergrowth of nature ,ecology and human culture, and this has practical significance for the sustainable development of human and water.

scholarly journals Modified grey wolf method for optimization of PM motors

2019 ◽  
Vol 28 ◽  
pp. 01020
Author(s):  
Łukasz Knypiński
Keyword(s):  
Mathematical Model ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Computer Software ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Grey Wolf ◽  
Electromagnetic Devices ◽  
The Mathematical Model ◽  
Grey Wolf Algorithm

The paper presents an algorithm and computer software for the optimization of electromagnetic devices. The mathematical model of the optimization method was presented. The modification of the classical grey wolf algorithm was developed. The modification consists in decreasing the coefficient responsible for the possibility of migration individuals in the permissible area of solved task. The optimization procedure was elaborated in the Borland Delphi environment. The optimization of the rotor of the line-start permanent magnet synchronous motor has been carried out. It has been pointed out that the grey wolf algorithm is effective method for optimization of electromagnetic devices.

scholarly journals A Modified Shuffled Frog Leaping Algorithm for the Topology Optimization of Electromagnet Devices

2020 ◽  
Vol 10 (18) ◽  
pp. 6186
Author(s):  
Wenjia Yang ◽  
Siu Lau Ho ◽  
Weinong Fu
Keyword(s):  
Topology Optimization ◽  
Local Search ◽  
Three Dimensional ◽  
Optimization Method ◽  
Memetic Algorithms ◽  
Local Optimum ◽  
Shuffled Frog Leaping Algorithm ◽  
Electromagnetic Problems ◽  
Electromagnetic Devices ◽  
Shuffled Frog Leaping

The memetic algorithms which employ population information spreading mechanism have shown great potentials in solving complex three-dimensional black-box problems. In this paper, a newly developed memetic meta-heuristic optimization method, known as shuffled frog leaping algorithm (SFLA), is modified and applied to topology optimization of electromagnetic problems. Compared to the conventional SFLA, the proposed algorithm has an extra local search step, which allows it to escape from the local optimum, and hence avoid the problem of premature convergence to continue its search for more accurate results. To validate the performance of the proposed method, it was applied to solving the topology optimization of an interior permanent magnet motor. Two other EAs, namely the conventional SFLA and local-search genetic algorithm, were applied to study the same problem and their performances were compared with that of the proposed algorithm. The results indicate that the proposed algorithm has the best trade-off between the results of objective values and optimization time, and hence is more efficient in topology optimization of electromagnetic devices.

The Radial Fretting Character Research of the Shaft-Hub of Compress Impeller Based on Virtual Orthogonal Experiment

2014 ◽  
Vol 668-669 ◽  
pp. 289-293
Author(s):  
Xue Long Lu ◽  
Jun Sheng Zhao ◽  
Xin Zhong Huang ◽  
Shuang Yong Wang
Keyword(s):  
Orthogonal Experiment ◽  
Orthogonal Design ◽  
Three Dimensional ◽  
Element Model ◽  
Optimization Method ◽  
Three Dimensional Model ◽  
Interference Fit ◽  
Rotating Speed ◽  
Compressor Impeller ◽  
Set Up

A three-dimensional model of as haft-hub of compressor impeller was set up by Pro/E. Based on the ANSYS; the finite element model was established, using the analysis method of combining submodle and paramesh. The shaft-hub of compressor impeller was simulated by virtual orthogonal design optimization method. Based on the fact that there existed radial fretting in the shaft-hub interference fit joint, researching the influence significance order and law of interference, friction coefficient and rotating speed to the maximum unit frictional work , the average friction work and the optimized parameter were obtained. It turned out that the results of the numerical simulation and orthogonal experiment were accurate and reliable, with the friction and wear effectively reduced, certain guiding references to actual assembly process were got.

Study of an axial-type fan design technique using an optimization method

2009 ◽  
Vol 223 (3) ◽  
pp. 101-111 ◽  
Author(s):  
C-H Cho ◽  
S-Y Cho ◽  
K-Y Ahn ◽  
Y-C Kim
Keyword(s):  
Total Pressure ◽  
Static Pressure ◽  
Pressure Rise ◽  
Optimization Method ◽  
Operating Pressure ◽  
Design Technique ◽  
Fan Performance ◽  
Target Value ◽  
Design Variables ◽  
Fan Blade

A robust axial-type fan design technique is developed by using an optimization method based on the gradient method. A three-dimensional fan blade was initially designed by stacking several two-dimensional (2D) blade profiles along the spanwise direction. These 2D blade profiles were designed using the free-vortex method and profile parameters such as the incidence, deviation, camber, and so on. The initial fan blade adopts 13 design variables to improve the target value of the fan efficiency or the total pressure. These design variables are used to control the rotor and stator profile for obtaining a better target value. In this study, fan efficiency is chosen as a target objective variable to be maximized, and the total and static pressure on the design point are applied as constraints. These procedures are applied to the design of an axial-type fan that must operate at a mass flowrate of 8.37 kg/s with a minimum total pressure rise of 670 Pa. The optimized fan not only increases the efficiency by 2.9 per cent but also satisfies the required total and static pressure conditions compared with the initially designed fan performance. The optimized fan performance agrees with the experimental results; therefore, this fan design technique can be applied to improve the efficiency and the operating pressure of axial-type fans.

scholarly journals Comparison of different optimization strategies applied to electromagnetic devices

2002 ◽  
Vol 15 (2) ◽  
pp. 185-194
Author(s):  
Ilona Iatcheva
Keyword(s):  
Electromagnetic Field ◽  
Region Of Interest ◽  
Optimization Methods ◽  
Optimization Method ◽  
Optimization Criterion ◽  
Shape Design ◽  
Test Problems ◽  
Optimal Shape Design ◽  
Electromagnetic Devices ◽  
Actual Field

In this paper, different optimization methods have been compared concerning some test problems of optimal electromagnetic field design, when Finite Element Method has been applied for electromagnetic field determination. Optimal shape design has been modeled. The optimization criterion used was the quadratic sum of the differences of the prescribed and the actual field at certain points of the region of interest. Numerical experiments indicate some preferences for choosing optimization method by comparing their robustness, speed and convergence.

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