This paper presents a developed method to connect the terminals of low voltage (LV) and high voltage (HV) windings of any given vector group connection. This method is validated by modeling different ...types of vector groups of three-phase transformers using three-dimensional ANSYS Maxwell. Also, it is based on drawing transformer vector group connection on clock showing phase displacement. For a given transformer vector group connection, the connection between the terminals of LV and HV windings can be deduced by using this method. Different connections of high and low voltage windings can be simulated using a three-dimensional ANSYS Maxwell based on finite elements method. The three-dimensional model of three-phase transformer indicates the winding direction, which affects transformer vector groups. The paper also describes how winding connection and phase angle between the high line voltage and Low line voltage. The paper’s objective is to understand and apply this method for a given transformer vector group. And, how to model different types of transformer vector groups using three-dimensional ANSYS Maxwell to obtain comparative analysis. The transformer vector groups are very important in the transformer parallel operation.
The stator current signals of mining asynchronous motor are often non-stationary, making it challenging to extract fault features in the time domain. Therefore, this paper proposes a rotor fault ...diagnosis method based on the combination of Modified Ensemble Empirical Mode Decomposition (MEEMD) energy entropy and Artificial Neural Network (ANN). Firstly, the stator current signals are decomposed into a series of Intrinsic Mode Function (IMF) components by the MEEMD. Secondly, the IMF components with the most abundant information are selected by the cross-correlation criterion, and their energy entropy is calculated to construct feature vectors. Finally, the feature vectors are input into the ANN for training and state recognition. The faulty motor is modeled by ANSYS Maxwell software to obtain the simulated data. It is verified that the MEEMD-ANN method is feasible for fault diagnosis of mine motors, which can accurately identify the different status of motors, including normal state, broken rotor bars, and air gap eccentricity, the recognition rate can reach 99%. The MEEMD-ANN improves the accuracy by 2% compared with the EEMD-ANN, improves the accuracy by 3.75% compared with the MEEMD-SVM.
•A motor fault diagnosis method based on MEEMD energy entropy and ANN was proposed.•Used Ansys Maxwell software to establish a finite element faulty motor model.•Realized the accurate recognition of asynchronous motor faults.•Recognition rate of normal state, rotor bar broken and air gap eccentricity is 99%.
A permanent magnet Brushless DC (BLDC) motor has been designed with different rotor configurations based on the arrangement of the permanent magnets. Rotor configurations strongly affect the torque ...and efficiency performance of permanent magnet electric motors. In this paper, different rotor configurations of the permanent magnet BLDC motor with parallel the Halbach array permanent magnet were compared and evaluated. Many applications of electric drives or air-crafts have recently preferred the surface-mounted permanent magnet design due to its ease of construction and maintenance. The finite element technique has been used for the analysis and comparison of different geometry parameters and rotor magnet configurations to improve efficiency and torque performance. A comprehensive design of a three-phase permanent magnet BLDC 35kW motor is presented and simulations were conducted to evaluate its design. The skewing rotor and Halbach magnet array are applied to the permanent surface-mounted magnet on the BLDC motor for eliminating torque ripples. In order to observe the skewing rotor effect, the rotor lamination layers were skewed with different angles and Halbach sinusoidal arrays. The determined skewing angle, the eliminated theoretically cogging torque, and the back electromotive force harmonics were also analyzed.
The electrical machine core is subjected to mechanical stresses during manufacturing processes. These stresses include radial, circumferential and axial components that may have significant influence ...on the magnetic properties and it further leads to increase in iron loss and permeability in the stator core. In this research work, analysis of magnetic core iron loss under axial mechanical stress is investigated. The magnetic core is designed with Magnetic Flux Density (MF) ranging from 1.0 T to 1.5 T with estimated dimensions under various input voltages from 5 V to 85 V. Iron losses are predicted by the axial pressure created manually wherever required and is further applied to the designed magnetic core in the range of 5 MPa to 50 MPa. Finite element analysis is employed to estimate the magnetic core parameters and the magnetic core dimensions. A ring core is designed with the selected dimensions for the experimental evaluation. The analysis of iron loss at 50Hz frequency for non-oriented electrical steel of M400-50A is tested experimentally using the Epstein frame test and force-fit setup test. Experimental evaluation concludes that the magnetic core saturates when it reaches its knee point of the B-H curve of the chosen material and also reveals that the axial pressure has a high impact on the magnetic properties of the material.
Planar coil is usually used as a basic element in various research fields. This paper models a sensor equivalent circuit by taking the planar spiral excitation coil as an optimization object ...according to the electromagnetic coupling principle. The influence of coil electrical parameters on the coupling efficiency is analysed. The present result shows that the excitation coil should be small size, large inductance and high-quality factor. A two-dimensional planar spiral coil is modelled using ANSYS Maxwell software. The coil structure parameters with significant influence on the coil quality factor are chosen by the single factor experiment. The two-factor, five-level central composite deign principle is selected to establish a multivariate quadratic model by Response Surface Methodology (RSM). Then the paper implemented Grey Wolf Optimizer (GWO) to optimize response surface model, and obtained the optimal coil structure parameters. The conclusion was drawn that the inductance and quality factor of the optimized coil increase from 27.031
μH
and 161.293 to 43.171
μH
and 175.537, respectively. Compared to the control coil, the inductance is 1.597 times as the original coil and the quality factor is increased by 8.8%.
Мета роботи. Використання моделювання, як інструменту, що дозволить виявляти слабкі місця конструкції в електричному обладнанні та на їх основі виконати її оптимізацію, з метою нівелювання слабкостей ...через недосконалість конструкції. Позначення реально існуючої проблеми в конструкціях прохідних полімерних ізоляторів, що негативно впливають на їх техніко-економічних та експлуатаційних характеристика і робить їх менш конкурентними у порівнянні з іншими типами ізоляторів. Методи дослідження. Аналіз експериментів по виявленню часткових розрядів, моделювання напруженості електричного поля, синтез аналізованих робіт та результатів моделювання. Отримані результати. В результаті виконаного наукового дослідження було виявлено, що безпосередній вплив на електричну міцність прохідного полімерного ізолятору має процес виникнення часткових розрядів. Даний факт прийнято за основу для пошуку методів подальшого впливу на конструкцію ізолятора, з метою збільшення строку його служби. В роботі виявлено, що причиною виникнення часткових розрядів є нерівномірність розподілу напруженості електричного поля. Це послугувало причиною для подальшого дослідження напруженості електричного поля прохідного ізолятору та його моделювання. В результаті моделювання, було виявлено точки концентрації напруженості електричного поля в прохідному полімерному ізоляторі та позначено їх, як точки впливу для підвищення електричної міцності прохідного полімерного ізолятора. Наукова новизна. Наукова новизна виконаної науково-дослідної роботи полягає у використанні моделювання електричного поля полімерного прохідного ізолятору, як інструмента для виявлення слабких місць в його конструкції, при впливі на котрі можна буде спостерігати позитивний вплив на його технічні характеристики. Практична цінність. Практична цінність виконаної науково-дослідної роботи полягає в тому, що результати дослідження слугують міцним фундаментом для подальшої оптимізації конструкції прохідних полімерних ізоляторів, що призводитиме до позитивного впливу на їх технічні характеристики та зробить їх конкурентними у порівнянні з іншими типами ізоляторів.
In magnetic resonance coupled wireless power transfer (WPT) systems, parameters were investigated in the WPT system to ensure maximum power transfer under the conditions of changing the distance ...between the receive coil and the transmit coil. When the distance between the transceiver coils is changed, the inductances of the system and the coupling coefficient for maximum power transfer were calculated with Maxwell-3D, which performed a solution based on the finite element method (FEM). In addition, the effect of the distance variation between the transmitter and receiver coils, the coupling coefficient (k) values, on the input inductance and power transmission was investigated. In the model developed in the ANSYS-Maxwell environment, it has been observed that the variation of the input inductance depending on the distance and therefore the common inductance between the transmitter and receiver coils can be analyzed. In addition, the effect of the coupling factor (k) on the WPT system has also been demonstrated. It has been shown that maximum power transfer can be sustained in WPT systems where the distance between the receive coil and the transmit coil varies within certain limits. Finally, the efficiency of the transformer for a close distance between the coils was also tested experimentally.
The magnetic flux leakage (MFL) method, which is among the non-destructive testing (NDT) methods, is frequently used in the determination of discontinuity in ferromagnetic materials. The method ...focuses on the detection of the MFLs in the discontinuity regions of magnetized samples with the use of magnetic sensors and the analysis of the detected MFL signals. The characteristic of the MFL signal is directly related to the selection of sensors. Sensor selection, on the other hand, depends on the magnitude of the MFL in the discontinuity region. The variation of MFL in the discontinuity region varies with the distance of the discontinuity to the magnetizer (yoke). In this case, the characteristic of the MFL signal is also closely related to the position of the sensor during measurement. Furthermore, the magnetization time of the material has no impact on the characteristics of the MFL signal, but affects its amplitude. As such, the primary goal of this study is to determine the sensor position for the MFL method, which yields the optimal MFL signal at a constant magnetization velocity for natural gas pipes, a ferromagnetic product, using the ANSYS Maxwell simulation software on a 2-D transient model. Subsequently, the effects of crack geometry and magnetization velocity on the MFL signal were examined in the model. Last, the study focused on the selection of potential sensors which can be utilized in the model for the optimal sensor position determined. ANSYS Maxwell simulation results suggest that the sensor needs to be positioned at the exact center of the magnetizer and at the closest distance to the material. It was determined that increased magnetization velocity results in a decrease in MFL signal amplitude. Accordingly, a pipeline inspection gauge (PIG) device was 3D-designed and produced using the ANSYS Maxwell simulation software, with the optimal magnetization velocity (PIG velocity), optimal sensor position, and sensor selection. By using the produced PIG and the developed measurement system, experiments were carried out at different velocity values, and the velocity-dependent variation of the MFL signal was experimentally investigated.
In this paper, a multi-objective optimization framework for electric motors and its validation is presented. This framework is suitable for the optimization of design variables of electric motors ...based on a predetermined driving strategy using MATLAB R2019b and Ansys Maxwell 2019 R3 software. The framework is capable of managing a wide range of objective functions due to its modular structure. The optimization can also be easily parallelized and enhanced with surrogate models to reduce the runtime. The framework is validated by manufacturing and measuring the optimized electric motor. The method’s applicability for solving electric motor design problems is demonstrated via the validation process. A test application is also presented, in which the operating points of a predetermined driving strategy provide the input for the optimization. The kriging surrogate model is used in the framework to reduce the runtime. The results of the optimization and the framework’s benefits and drawbacks are discussed through the provided examples, in addition to displaying the properly applicable design processes. The optimization framework provides a ready-to-use tool for optimizing electric motors based on the driving strategy for single- or multi-objective purposes. The applicability of the framework is demonstrated by optimizing the electric motor of a world recorder energy-efficient race vehicle. In this application, the optimization framework achieved a 2% improvement in energy consumption and a 9% increase in speed at a rated DC voltage, allowing the motor to operate at desired working points even with low battery voltage.
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