Design optimization of an axial-field eddy-current magnetic coupling based on magneto-thermal analytical model

Fontchastagner, Julien; Lubin, Thierry; Mezani, Smaïl; Takorabet, Noureddine

doi:10.1515/phys-2018-0004

Cited by 12 publications

(13 citation statements)

References 14 publications

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“…Furthermore, due to not taking into account the cooling effect from the motor's ventilator, the simulated temperature is above that measured by the sensors and infrared camera. This has greater importance as winding can reach temperatures harmful to insulation and decrease its service life [50].…”

Section: B Finite Element Analysis Of Torque and Resistive Losses Of ...mentioning

confidence: 99%

Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis

Santos¹,

Tshoombe²,

Santos³

et al. 2023

IEEE Access

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Electric induction motors are the type of motor most commonly operated in industry, and for this reason technologies that predict faults and reduce the corrective maintenance are of great interest. In this context, this paper presents a predictive maintenance tool of electric motors using the concepts of Digital Twin (DT) and Industrial Internet of Things (IIoT). The proposed system is innovative, as it monitors the motor current and temperature by means of sensors and a low-cost acquisition module, and these measurements are sent via Wi-Fi to a database. The concept of DT was leveraged by providing the measurements as inputs to a high-fidelity strongly-coupled model of the monitored monitor, using the Finite Element Method (FEM). The results obtained are satisfactory, because the sensors used presented acceptable errors that do not interfere with the reliability of the results. The computer simulation showed relative errors below 4% in the conductivity analysis and 10% in the temperature analysis. In addition, the simulation allows verifying the internal temperature of the motor, its resistive losses, and the intensity of the magnetic flux at each pole. It is worth pointing out that the internal analysis performed is only possible due to the combination of IIoT and computer simulations. Therefore, they allow a better diagnosis of the motor's operational status and also a time estimate for the next maintenance service, thus being ideal for the industrial sector.INDEX TERMS Condition monitoring, digital twin, finite element analysis, induction motors, Internet of Things.

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Section: B Finite Element Analysis Of Torque and Resistive Losses Of ...mentioning

confidence: 99%

Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis

Santos¹,

Tshoombe²,

Santos³

et al. 2023

IEEE Access

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show abstract

“…In order to overcome the oscillatory effect, the series is still taken as the basic form of the field value solution. In solving the continuation function, a decomposition function with a relatively smooth variation is selected and the error of fitting it to the original field is minimized on the original observation profile, so that the analytical function of regularized downward continuation series after correction can be obtained (Zhang et al, 2015;Fontchastagner, Lubin, Mezani, & Takorabet, 2018).…”

Section: Regularization Extension Techniquementioning

confidence: 99%

Inversion Technique of Physical Parameters Based on Regularization Extension Depth Constraint

Wang

et al. 2019

Earth sci. res. j.

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Through the regularization downward continuation of gravity and magnetic anomalies, the depth of the field source can be solved. However, due to the Gibbs effect, the horizontal resolving power of the field source is poor. In view of this, based on the depth of field source established by regularization downward continuation, this paper proposes a physical property parameter inversion method based on iterative continuation and anomaly separation, which can effectively improve the inversion accuracy of superimposed anomaly physical parameters, and provide a new idea for solving the physical parameters of superposition gravity and magnetic anomalies.

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“…The development of the rare earth permanent magnet materials with high magnetic energy products makes magnetic drive technology more and more widely used in engineering practices [1]. There are various types of magnetic drive mechanisms with perfect functions, such as permanent magnet clutch [2], magnetic gear [3], magnetic thrust bearing [4], magnetic coupling [5], and permanent magnet motor [6], which have been used in petroleum, chemical industry, medicine, textile, and occasions with special transmission requirements. Magnetic drive technology is based on the magnetics theory and can realize the non-contact transmission of force or torque through the action of the magnetic fi eld.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of a Novel Magnetic Twisting Device based on NSGA-II Algorithm

Shunqi

et al. 2022

Autex Research Journal

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This paper presents a novel magnetic twisting device with a coaxial double rotor based on non-contact transmission characteristics of magnetic drive technology. When the twisting device rotates one cycle, the yarn can get triple twists. This means the new device can twist three times more than what the traditional single twist does. The structure of the magnetic twisting device is designed according to the twisting principle. The influence of main structural parameters on the magnetic torque is analyzed. To optimize the maximum transmission torque and the minimum magnet volume, the multi-objective optimization design model for the twisting device is established. Main parameters such as the relative angle of active disc assembly and passive disc assembly, the thickness of magnet, and the average radius of the magnet distribution are optimized by NSGA-II algorithm. Optimization results show that the proposed structural optimization design of a twisting device based on the magnetic drive has excellent performance and is effective for industrial application.

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Design optimization of an axial-field eddy-current magnetic coupling based on magneto-thermal analytical model

Cited by 12 publications

References 14 publications

Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis

Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis

Inversion Technique of Physical Parameters Based on Regularization Extension Depth Constraint

Optimal Design of a Novel Magnetic Twisting Device based on NSGA-II Algorithm

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