Effect of Rotor Bars Shape on the Single-Phase Induction Motors Performance: An Analysis toward Their Efficiency Improvement

Chasiotis, Ioannis D.; Karnavas, Yannis L.; Scuiller, Franck

doi:10.3390/en15030717

Cited by 11 publications

(3 citation statements)

References 41 publications

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“…In another study that examines the rotor slot geometry, the effect of eight different bar structures was investigated in a 4-pole squirrel-cage machine. It was determined that the rectangular and fluted shapes provide low rotor loss [22]. The rotor slot number and rotor conductor type, as well as the single-or double-cage structure, have a significant effect on the torque-speed curve and efficiency of the motor [23,24].…”

Section: Introductionmentioning

confidence: 99%

A FEM-Based Comparative Study of the Effect of Rotor Bar Designs on the Performance of Squirrel Cage Induction Motors

Ocak

2023

Energies

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Induction motors (IM) are the most frequently used type of motor in the industry. The number of rotor slots, bar geometry, and conductivity of bar material have a strong impact on the torque profile and efficiency characteristics of induction motors. This study focused on investigating the effect of different rotor bar designs on motor performance by the finite element method (FEM). The IMs have been designed using the same stator core, winding, and core lengths. The total rotor bar cross-section areas are also fixed throughout all designs. In addition to the change in the number of rotor bars and geometry, the effect of copper and aluminum bar materials on motor performance was also investigated, both for single and double-layered squirrel-cage structures. The results of the study indicate that the starting torque of the motor in a 36/30-slot aluminum single-cage structure was obtained as 96.26 Nm, while the starting torque of a 36/46-slot aluminum double-cage structure was found to be 115.34 Nm. It is also found that the starting torque of the initial design can be increased by up to 19.82% by changing only the rotor bar numbers and material with the same stator and rotor size. The efficiency of the motors was determined as 86.6% for both designs. In addition to efficiency, the output torque ripple has been decreased to 2.63, which equals a 67.32% decrease in the ripple of the initial design. The improved design has an approximately 8 °C lower T2 due to better cooling performance as a result of a higher number of rotor slots.

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Section: Introductionmentioning

confidence: 99%

A FEM-Based Comparative Study of the Effect of Rotor Bar Designs on the Performance of Squirrel Cage Induction Motors

Ocak

2023

Energies

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“…Though Cu has high conductivity and increased mechanical efficiency than Al, it is costly. Ag, which has higher conductivity than Cu is expensive with a low melting point [14]. Hence, selecting winding materials and core lamination is vital for achieving higher efficiency and effective motor operation.…”

Section: Introductionmentioning

confidence: 99%

Design and Fault Diagnosis of Induction Motor Using ML-Based Algorithms for EV Application

Aishwarya

Brisilla

2023

IEEE Access

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The need for alternate transportation is driven by the increased fossil fuel cost and the adverse effects of climatic change. Electric vehicles (EVs) are the best option as they have less carbon footprint and reduced dependency on fossil fuels. Prodigious efforts to enhance the efficiency of EVs resulted in the development of highly efficient three-phase induction motors. Difficulties in designing highly efficient induction motors (IM) with high torque and power factors hindered the success of EV applications. Hence, our aim is to diagnosis fault in the designed IM under variable load conditions. The proposed EV motor is designed for 415V, 50Hz, and 5HP output power rating using ANSYS RMxprt simulation software. A fault detection strategy is also implemented with various machine learning (ML) techniques like Support Vector Machine (SVM), K-nearest neighbors (k-NN), ML perceptron (MLP), Random Forest (RF), Decision Tree (DT), Gradient boosting (GB), Extreme Gradient Boosting (XGBoost), and Deep Learning (DL) for both healthy and faulty conditions. Short Circuit (SC), High Resistance connection (HRC), and Open-Phase circuit (OPC) are considered as faulty states for this study. Motor performance with variable load for all the states healthy and faulty are evaluated through machine learning.

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“…Single-phase motors suffer from a low starting torque and low efficiency, resulting in significant energy waste. Even motors with 1 horsepower or more exhibit an efficiency of only 78% [10]. As a result, in many instances, single-phase motors are oversized in order to meet the high starting torque requirements, leading to low-load operation and a reduced efficiency.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Low-Cost and Low-Power Converter to Drive a Single-Phase Motor

et al. 2023

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This research introduces a cost-effective converter for single-phase machines, aiming to enhance efficiency and reduce energy consumption in retrofit applications. Single-phase motors commonly found in household appliances often suffer from low efficiency, resulting in wasted energy. To tackle this problem, a dedicated converter was proposed to replace the existing capacitors and improve the motor performance. This study presents a proof of concept for retrofit applications, discussing the converter design methodology and prototype evaluation. Additionally, a cost analysis comparing single-phase and three-phase motors is included. It aims to demonstrate the long-term cost savings and improved energy efficiency of the proposed converter. The findings highlight the converter’s potential as a promising solution for enhancing energy efficiency and decreasing costs in single-phase motor applications.

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Effect of Rotor Bars Shape on the Single-Phase Induction Motors Performance: An Analysis toward Their Efficiency Improvement

Cited by 11 publications

References 41 publications

A FEM-Based Comparative Study of the Effect of Rotor Bar Designs on the Performance of Squirrel Cage Induction Motors

A FEM-Based Comparative Study of the Effect of Rotor Bar Designs on the Performance of Squirrel Cage Induction Motors

Design and Fault Diagnosis of Induction Motor Using ML-Based Algorithms for EV Application

Design and Implementation of a Low-Cost and Low-Power Converter to Drive a Single-Phase Motor

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