Mathematical Modeling of Fast and Accurate Coupled Electromagnetic-Thermal Analysis

Ryu, Jun-Yeol; Hwang, Sung-Woo; Chin, Jun-Woo; Hwang, Yong-Suk; Yoon, Sanghyun; Lim, Myung-Seop

doi:10.1109/tia.2021.3086823

Cited by 11 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Summarized in Fig. 7, a coupled finite element analysis (FEA) [28], Lumped parameter thermal network (LPTN) [29]- [31], and flow network (FN) [24] techniques are employed in developing an analytical temperature model which is verified with numerical computational fluid dynamics (CFD) [32] technique. The input to the model is the motor data given in Table 1 and Table 2.…”

Section: Thermal Analysismentioning

confidence: 99%

Airflow Cooling Mechanism for High-Power-Density Surface Mounted Permanent Magnet Motor

Awungabeh,

Besong,

Yasutaka

2024

Preprint

View full text Add to dashboard Cite

Heating is a common problem in electric machines and cooling of small size machines is very challenging. Nowadays, the application of these machines in the actuation of weight-critical mechatronics systems is increasing. In this paper, a cooling mechanism for such electric machines with surface permanent magnet (SPM) is proposed. The mechanism is based on the fan-cooled air conditioning system except that no external impeller is needed. It has an air-inlet structure which comprises a set of six holes shrouded within a hollow cylindrical ventilation duct at the rear end of the rotor. The cooling mechanism is evaluated in a high-power-density SPM motor. The airflow rate is analyzed by developing a theoretical model using flow resistance network technique. Further verification of the airflow rate was performed with numerical computational fluid dynamics (CFD) simulation. With a discrepancy margin within 5.0%, both flow resistance network and CFD models show that the system generates a total flow rate of 118.0 L/min at maximum rated speed of the motor. Also, steady state thermal analysis of the motor using lumped parameter thermal network (LPTN) is verified in comparison with CFD simulation, which shows the cooling system maintains the motor temperature within operating range during high-speed operations.

show abstract

Section: Thermal Analysismentioning

confidence: 99%

Airflow Cooling Mechanism for High-Power-Density Surface Mounted Permanent Magnet Motor

Awungabeh,

Besong,

Yasutaka

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The analysis combines the advantages of analytical and numerical thermal modeling techniques which are listed in [31]. Summarized in FIGURE 6, the losses are determined by finite element analysis (FEA) method [32] and the flow network techniques are employed in the modeling of heat convection process in the motor. Finally, CFD simulation [33] is conducted with an equivalent model of the proposed motor to determine the rate of airflow in the machine and track the temperature changes with this flow.…”

Section: Thermal Analysismentioning

confidence: 99%

Airflow Cooling Mechanism for High Power-Density Permanent Magnet Motor

Akawung,

Ebot,

Fujimoto

2024

IEEE Open J. Ind. Electron. Soc.

View full text Add to dashboard Cite

High-power-density electric machines present the benefits of high torque and speed. However, this generally comes with heating problems characterized by high temperatures that affect performance. Conventional approaches to address overheating are to include cooling fans or jackets within the stator core of the machine. This approach is challenging to implement in small-size high-power-density machines. In this paper, a cooling mechanism integrated in the rotor of a high-power-density permanent magnet motor is proposed. It comprises a set of six holes, shrouded within a hollow shaft. The mechanism is based on conditioning air due to a centrifugal force that is produced by the rotational speed of the rotor from the inlet. A theoretical model based on flow resistance network is proposed to analyze the airflow rate. An analytical thermal model based on lumped parameter thermal network (LPTN) is developed to analyze the effect of the flow rate on the temperature distribution in the motor. Also, a simulation analysis model was conducted using computational fluid dynamics (CFD) to analyze the effect of air flowing in the motor. An experimental prototype is developed to verify, validate, and evaluate the proposed cooling model. The cooling system is effective in reducing temperatures from speeds above 6000 min -1 . INDEX TERMSAir conditioning, CFD, cooling, fan-cool, flow network, lumped parameter, mass flow, SPM motor, thermal analysis. NOMENCLATURE Q [L/min] Volumetric flow rate ṁ [kg/s] Mass flow rate v, v [m/s] Airflow velocity A, A D [m 2 ] Area of cross-section P F [Pa] Rotor pressure F [N] Centrifugal force ω [min -1 ] Rotation speed z [m] Depth of ventilation duct ρ, ρ air [kg/m 3 ] Density of air k, k air [W/mK]

show abstract

“…The subdomain model is a quick and precise semi-analytical model if the magnetic saturation effect is negligible [18]. A thermal network model is used to calculate the temperature of the DDM [27], [28].…”

Section: B Ddm and Drivermentioning

confidence: 99%

A Novel Optimization Framework for High Dynamics Point-to-Point Direct Drive Motion Control System With a New Type of Surrogate Model

Tang

Yin²,

Fang

et al. 2023

IEEE Access

View full text Add to dashboard Cite

A new optimization framework for a high-dynamic point-to-point direct drive motion control system (HDPDMS) is proposed. The conventional system optimization approach considers all design parameters simultaneously, resulting in a high-dimensional search space and extensive computation. In contrast, the proposed framework uses a new DDM surrogate model that establishes a correlation between the key DDM characteristic parameters to decouple the whole optimization process. It begins with a systemlevel optimization to identify suitable driver types, motion profile design parameters, and characteristic parameters of the direct drive motors (DDMs) by the new surrogate model. Bayesian optimization then determines the DDM design parameters corresponding to the identified characteristic parameters. Once the DDM surrogate model is built, the proposed framework achieved the desired HDPDMS design in just 1 hour, saving 98.6% of computation time compared to the traditional approach. Additionally, multi-objective optimization and Gaussian process regression prediction intervals were employed to obtain a suitable training dataset and input range for the surrogate model, resulting in a 99.8% reduction in computation resources compared to the traditional DDM surrogate model. Through completing three unique motion task optimizations and creating a prototype, the optimization framework was proven effective, demonstrating the potential of this novel method.INDEX TERMS Point-to-point motion control, direct drive permanent-magnet machine, high dynamics, novel system optimization framework. FIGURE 3. Multi-level optimization framework [2]. The design parameters are separated into two subspaces, and optimizations are done in the motor and control levels successively.

show abstract

Mathematical Modeling of Fast and Accurate Coupled Electromagnetic-Thermal Analysis

Cited by 11 publications

References 36 publications

Airflow Cooling Mechanism for High-Power-Density Surface Mounted Permanent Magnet Motor

Airflow Cooling Mechanism for High-Power-Density Surface Mounted Permanent Magnet Motor

Airflow Cooling Mechanism for High Power-Density Permanent Magnet Motor

A Novel Optimization Framework for High Dynamics Point-to-Point Direct Drive Motion Control System With a New Type of Surrogate Model

Contact Info

Product

Resources

About