Efficient calculation of force in electromagnetic devices

1986 ◽  
Vol 133 (4) ◽  
pp. 212 ◽  
Author(s):  
J. Penman ◽  
M.D. Grieve
Keyword(s):  
Electromagnetic Devices ◽  
Efficient Calculation

Efficient calculation of expected shortfall contributions in large credit portfolios

2007 ◽  
Vol 11 (2) ◽  
pp. 1-43 ◽  
Author(s):  
Michael Kalkbrener ◽  
Anna Kennedy ◽  
Monika Popp
Keyword(s):  
Expected Shortfall ◽  
Efficient Calculation

Efficient calculation of interior scattering from cavities with small modifications

2020 ◽  
Vol 56 (2) ◽  
pp. 80-82 ◽  
Author(s):  
Xinlei Chen ◽  
Xiuqiang Liu ◽  
Changqing Gu
Keyword(s):  
Efficient Calculation

FIT/PVL circuit-parameter extraction for general electromagnetic devices

2000 ◽  
Vol 36 (4) ◽  
pp. 1421-1425 ◽  
Author(s):  
D. Ioan ◽  
T. Weiland ◽  
T. Wittig ◽  
I. Munteanu
Keyword(s):  
Parameter Extraction ◽  
Circuit Parameter ◽  
Electromagnetic Devices

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.

scholarly journals Machine Learning for Design Optimization of Electromagnetic Devices: Recent Developments and Future Directions

2021 ◽  
Vol 11 (4) ◽  
pp. 1627
Author(s):  
Yanbin Li ◽  
Gang Lei ◽  
Gerd Bramerdorfer ◽  
Sheng Peng ◽  
Xiaodong Sun ◽  
...  
Keyword(s):  
Machine Learning ◽  
Design Optimization ◽  
Optimization Methods ◽  
Machine Learning Algorithms ◽  
Cloud Services ◽  
Robust Design Optimization ◽  
Support Vector ◽  
Future Directions ◽  
Electromagnetic Devices ◽  
Recent Developments

This paper reviews the recent developments of design optimization methods for electromagnetic devices, with a focus on machine learning methods. First, the recent advances in multi-objective, multidisciplinary, multilevel, topology, fuzzy, and robust design optimization of electromagnetic devices are overviewed. Second, a review is presented to the performance prediction and design optimization of electromagnetic devices based on the machine learning algorithms, including artificial neural network, support vector machine, extreme learning machine, random forest, and deep learning. Last, to meet modern requirements of high manufacturing/production quality and lifetime reliability, several promising topics, including the application of cloud services and digital twin, are discussed as future directions for design optimization of electromagnetic devices.

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