scholarly journals A Novel Method for Establishing an Efficiency Map of IPMSMs for EV Propulsion Based on the Finite-Element Method and a Neural Network

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1049
Author(s):  
Sung-Bae Jun ◽  
Chan-Ho Kim ◽  
JuKyung Cha ◽  
Jin Hwan Lee ◽  
Yong-Jae Kim ◽  
...  
Keyword(s):  
Neural Network ◽  
Finite Element Method ◽  
Finite Element ◽  
The Finite Element Method ◽  
Permanent Magnet Synchronous Motors ◽  
Novel Method ◽  
Electro Magnetic ◽  
Time Required ◽  
Efficiency Map ◽  
Element Method

In this paper, we introduce a novel method for establishing an efficiency map of interior permanent-magnet synchronous motors that are used for electric vehicle propulsion, by employing the finite-element method (FEM) and a neural network (NN) to reduce the analysis time. The electro-magnetic analysis of motors using the FEM, particularly iron loss analysis, is significantly time-consuming owing to the nonlinearity and the post-processing. Moreover, to obtain an efficiency map, a data map of the d-q flux linkages based on the d-q currents should be established. At this stage, we compute the flux densities in all the elements, and they are learned by the NN to obtain a function of the d-q currents. Subsequently, the iron losses at all operating points are calculated using the learned data via the harmonic loss method. The results of the proposed method indicate that the time required to obtain the efficiency map is reduced; furthermore, the results are validated via a comparison with the FEM results.

scholarly journals Development and Optimization for a New Planar Spring Using Finite Element Method, Deep Feedforward Neural Networks, and Water Cycle Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Ngoc Le Chau ◽  
Hieu Giang Le ◽  
Van Anh Dang ◽  
Thanh-Phong Dao
Keyword(s):  
Neural Network ◽  
Finite Element Method ◽  
Finite Element ◽  
Strain Energy ◽  
Water Cycle ◽  
Feedforward Neural Network ◽  
The Finite Element Method ◽  
Water Cycle Algorithm ◽  
Balance Mechanism ◽  
Element Method

The gravity balance mechanism plays a vital role in maintaining the equilibrium for robots and assistive devices. The purpose of this paper was to optimize the geometry of a planar spring, which is an essential element of the gravity balance mechanism. To implement the optimization process, a hybrid method is proposed by combining the finite element method, the deep feedforward neural network, and the water cycle algorithm. Firstly, datasets are collected using the finite element method with a full experiment design. Secondly, the output datasets are normalized to eliminate the effects of the difference of units. Thirdly, the deep feedforward neural network is then employed to build the approximate models for the strain energy, deformation, and stress of the planar spring. Finally, the water cycle algorithm is used to optimize the dimensions of the planar spring. The results found that the optimal geometries of the spring include the length of 45 mm, the thickness of 1.029 mm, the width of 9 mm, and the radius of 0.3 mm. Besides, the predicted results determined that the strain energy, the deformation, and the stress are 0.01123 mJ, 33.666 mm, and 79.050 MPa, respectively. The errors between the predicted result and the verifying results for the strain energy, the deformation, and the stress are about 1.87%, 1.69%, and 3.06%, respectively.

scholarly journals A novel method for calculating effective thermal conductivity of particulate fouling

2019 ◽  
pp. 308-308
Author(s):  
Zhong-Bin Zhang ◽  
C Congyu ◽  
Yang Liu ◽  
Li-Hua Cao
Keyword(s):  
Thermal Conductivity ◽  
Finite Element Method ◽  
Finite Element ◽  
Heat Exchanger ◽  
Effective Thermal Conductivity ◽  
Parametric Design ◽  
The Finite Element Method ◽  
Particulate Fouling ◽  
Novel Method ◽  
Element Method

The accurate thermal conductivity of fouling plays a very significant role in designing heat exchanger. In this paper, a novel method of calculating the effective thermal conductivity (ETC) of particulate fouling is put forward by using Image-Pro-Plus image processing, the finite element method and ANSYS parametric design language (APDL). First of all, according to the analysis on the particulate fouling samples features, the particulate fouling is considered as porous media with fractal characteristics, whose microscopic network model is established using the finite element method, and each unit body material properties are randomly assigned by APDL. Secondly, ETC of particulate fouling model is calculated by the steady state plate method. And then, the influence of particulate fouling microstructure on ETC is explored. Last, it is also show that the calculation resulting of ETC agrees well with available experimental data and empirical correlation. Moreover, it has been shown that ETC of particulate fouling is closely associated with the porosity and pore size. The method can be used to research on the thermal conductivity of fouling, discuss the influence of microstructure on ETC of fouling, and provide the guidelines for designing of heat exchanger on calculating accurate thermal conductivity of fouling.

Band Gap and Stiffness Tuning of a Sandwich Plate by Magnetostrictive Materials

2021 ◽  
pp. 1-18
Author(s):  
Soroush Korivand ◽  
Amin Mehrvarz ◽  
Nicholas Candelino ◽  
Mohammad Javad Khodaei ◽  
Nader Jalili
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Band Gap ◽  
Sandwich Plate ◽  
Natural Frequencies ◽  
Middle Layer ◽  
The Finite Element Method ◽  
Kirchhoff Equations ◽  
Novel Method ◽  
Element Method

Abstract In this research, a novel method is developed to manipulate smart structures' natural frequencies to eliminate or alleviate the detrimental effects caused by vibrating close to the natural frequencies. To this end, this work considers a sandwich plate structure with Terfenol-D, which is a magnetostrictive material, comprising its middle layer. The stiffness of this smart material changes based on the magnetic field that it is exposed to. Thus, natural frequencies and resonances of the whole structure can be manipulated. Furthermore, in this research, the Terfenol-D in the middle layer is divided into five parallel sections so that each of them can be controlled separately. Therefore, it is possible to selectively activate portions of the magnetostrictive layers that run parallel along one of the plate's directions to create periodic changes in the structure's stiffness. Thus, the structure can be kept safe when excitations or disturbances approach one of its natural frequencies by activating sections to produce configurations that modify the natural frequencies. To this end, the structure's natural frequencies are obtained analytically for a thin plate with Kirchhoff equations. Then, the results are verified by the numerical results obtained using the finite element method. Moreover, activating certain portions of the Terfenol-D layer provides a periodic structure with a band gap that can filter out oscillatory motions with frequencies that fall within the band gap. This structure's band gap has been examined in two 1D periodic, two 2D periodic, and two non-periodic conditions using the finite element method.

Simulation of tuning graphene plasmonic behaviors by ferroelectric domains for self-driven infrared photodetector applications

Nanoscale ◽  
2019 ◽  
Vol 11 (43) ◽  
pp. 20868-20875 ◽  
Author(s):  
Junxiong Guo ◽  
Yu Liu ◽  
Yuan Lin ◽  
Yu Tian ◽  
Jinxing Zhang ◽  
...  
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Interfacial Effect ◽  
Infrared Photodetector ◽  
The Finite Element Method ◽  
Ferroelectric Domains ◽  
Element Method

We propose a graphene plasmonic infrared photodetector tuned by ferroelectric domains and investigate the interfacial effect using the finite element method.

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