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 4 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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Simulation-Based Energy and Power Analysis of Bldc Motor Under Vibration

KARDILE

2023

Preprint

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

Cited by 4 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

Simulation-Based Energy and Power Analysis of Bldc Motor Under Vibration

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