Vibration analysis of electric motors considering rotating rotor structure using flexible multibody dynamics-electromagnetic-structural vibration coupled analysis

Cho, Seunghyeon; Jeon, Kyunghun; Kim, Chang-Wan

doi:10.1093/jcde/qwad012

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…The damper can simulate the damping effect of the system, thus reducing unwanted vibrations and improving the stability and response characteristics of the system. Applying multibody dynamics theory [18][19], the continuous mass and infinite degrees of freedom in the shaft are discretized into a finite element model with n-order degrees of freedom. The overall BLMS system dynamics model of the system was established as in Eq.…”

Section: Ddiscrete Multibody Dynamics Modeling Of a Blmsmentioning

confidence: 99%

Research on Vibration Characteristics of Bearingless Motorized Spindle Based on Multibody Dynamics

Meng,

He,

Yang

et al. 2024

Preprint

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During the service process of bearingless motorized spindle (BLMS), its parameters change with time and external conditions, leading to the decrease in the accuracy of the motorized spindle. Therefore, it is difficult to accurately describe the dynamic performance of the motorized spindle during actual operation using deterministic parameters. In this paper, the interactions between thermal deformation and vibration of the motorized spindle are explored. The dynamic model of the motorized spindle based on multibody dynamics and time-varying parameters is established, and the solution method of dynamic model with uncertain parameters is investigated. Firstly, the reasons of vibration in the BLMS are analyzed, and the influences of thermal deformation on the thermal eccentricity and inhomogeneous air gap of BLMS are studied. The vibration model of the BLMS is established and solved to acquire the radial vibration displacement. Secondly, the discrete multibody dynamics model of the BLMS is built, and the center trajectory of the motorized spindle is attained by solving the multibody dynamics model. The prototype experimental platform of BLMS is designed and the vibration tests are carried out. The experimental results show that the vibration amplitude of the BLMS increases with the running time, and the maximum displacement has a large deviation from the simulation results using the determined parameters, while a small deviation from the simulation results using the uncertain parameters. It indicates that the solution of the multibody dynamics model of the BLMS described by uncertain parameters is closer to the experimental data. The research findings can provide reference for the optimized design of BLMS.

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Section: Ddiscrete Multibody Dynamics Modeling Of a Blmsmentioning

confidence: 99%

Research on Vibration Characteristics of Bearingless Motorized Spindle Based on Multibody Dynamics

Meng,

He,

Yang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…For example, Ref. [7] proposes a method for analyzing the vibration of electric motors that considers the rotating structure of the rotor using a coupled analysis of flexible multibody dynamics, electromagnetism and structural vibration. The method aims to predict motor vibration accurately by incorporating the electromagnetic force characteristics, the rotational motion of the flexible rotor, and their interactions at different operating speeds.…”

Section: Introductionmentioning

confidence: 99%

Identification of Vibration for Balancing in Fehn Pollux Ship with ECO Flettner Rotor

Parmar,

Wings,

Nourmohammadi

2024

Journal of Energy Systems

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Flettner rotors are wind propulsion systems using the Magnus effect to generate thrust, thereby reduce fuel consumption and carbon emissions in the ships. However, rotor unbalance can cause excessive vibrations and energy loss, affecting the performance and stability of the system. There is a need to have a system onboard, which can predict the vibrations. The paper proposes a deep learning approach to predict the vibrations and unbalanced forces of a Flettner rotor based on the data of ECO Flettner rotor onboard the vessel MV Fehn pollux. The paper develops two methods to estimate the direction and magnitude of the unbalanced forces using the reading values of the strain gauges. The work also compares two recurrent neural network models, namely Long-short term memory and Gated Recurrent Unit, for vibration prediction and evaluates their performance using Mean Absolute Error and Root Mean Squared Error metrics. The results show that Long-short term memory model outperforms Gated Recurrent Unit model in prediction accuracy and can be implemented on the system onboard to monitor and prevent rotor unbalance. The paper also suggests some possible solutions for automatic self-balancing of the rotor and identifies some areas for future work.

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Electromagnetic–thermal–mechanical coupling analysis of bent rotor straightening via electromagnetic induction heating

Cho,

Park,

Han

et al. 2024

Journal of Computational Design and Engineering

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Rotors of steam turbines in power plants can be locally deformed by undesired situations, such as rubbing between the rotors and stationary parts. A straightening process is required to correct bending without causing additional damage because a rotor bending displacement of approximately 0.15 mm can stop turbine unit operation. In this study, a numerical framework was established to simulate the straightening process using electromagnetic induction heating, which is straightforward and economical among the methods for straightening bent rotors. The straightening process involves complex coupling of electromagnetic, thermal, and mechanical phenomena. For efficiency, sequential coupling was used in the simulations, dividing the multiphysics phenomena into electromagnetic–thermal and thermal–mechanical fields. The temperature distributions resulting from electromagnetic induction heating were calculated through two-way coupling of the electromagnetic–thermal analysis. The thermal deformations of the rotors were obtained by solving the coupled equations for the thermal field obtained from the electromagnetic–thermal analysis and the mechanical field. Using the established numerical framework, the thermal–mechanical behaviors and straightening mechanisms of bent rotors were investigated. Furthermore, the effects of process parameters, including the direction of gravity and heating and cooling conditions, on the straightening performance were determined. Appropriate parameters were identified to achieve the desired straightening performance with final bending displacements of less than 0.1 mm for bent rotors with initial bending displacements of 0.15–0.3 mm. For a rotor made of A182 F11 Class 2, the best straightening performance was obtained by heating the rotor to a maximum temperature of 650 °C for 20 h under insulation, followed by natural cooling. The simulation results revealed that the straightening performance can be improved when the rotor is rapidly heated to a high maximum temperature and cooled immediately, as long as the temperature conditions do not cause phase transformation or unintended plastic deformation of the bent rotors.

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Vibration analysis of electric motors considering rotating rotor structure using flexible multibody dynamics-electromagnetic-structural vibration coupled analysis

Cited by 5 publications

References 22 publications

Research on Vibration Characteristics of Bearingless Motorized Spindle Based on Multibody Dynamics

Research on Vibration Characteristics of Bearingless Motorized Spindle Based on Multibody Dynamics

Identification of Vibration for Balancing in Fehn Pollux Ship with ECO Flettner Rotor

Electromagnetic–thermal–mechanical coupling analysis of bent rotor straightening via electromagnetic induction heating

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