Development of axial flux HTS induction motors

González-Parada, Adrián; Guía, M.; Ibarra, O.; Guzmán, Roger

doi:10.1016/j.proeng.2012.04.159

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…• The parameters D i and D o are determining factors during the design process of an axial-flux machine. The optimal value of the split ratio, λ = D i /D o , varies depending on the application [11], [14], [20]. Commonly-used values for AFIMs are in the range of: 0.5 ≤ λ ≤ 0.7 [5], [9], [21].…”

Section: Preliminary Electromagnetic Sizing Algorithmmentioning

confidence: 99%

“…• Step 6: Estimation of n s from(14) and approximation to the closest integer number. • Step 7: Derivation ofî r andî s according to(20) and(21) respectively.Calculation of l r,y , w r,t,inner , w r,sl Derivation of i r , i r ' and i s w r,sl >0 j=j+1 NO YES Computation of A r,sl and h r,sl Calculation of n s Calculation of l s,y , w s,t,inner , w s,sl w s,sl >0 NO Computation of A s,sl and h s,sl YES A s,min <A s <A s,max NOCalculation of Outline of the proposed preliminary electromagnetic sizing algorithm for DR-AFIM geometries. Calculation of l s,y , w s,t,inner and w s,sl according to (11)-(13).…”

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confidence: 99%

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Preliminary Electromagnetic Sizing of Axial-Flux Induction Machines

Bitsi

Beniakar

Wallmark

et al. 2020

2020 International Conference on Electrical Machines (ICEM)

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This paper presents a preliminary electromagnetic sizing algorithm for double-rotor axial-flux induction machines (DR-AFIMs). The proposed algorithm is based on a geometrical approach and limits the use of empirical factors and past experience. The sizing equations for all the main geometrical and operational machine parameters are derived and a concise outline of the electromagnetic sizing algorithm is provided. The efficacy of the implemented algorithm is validated using finiteelement DR-AFIM models. The achievement of the targeted specifications in the preliminary DR-AFIM designs is proven and demonstrated.

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Section: Preliminary Electromagnetic Sizing Algorithmmentioning

confidence: 99%

mentioning

confidence: 99%

Preliminary Electromagnetic Sizing of Axial-Flux Induction Machines

Bitsi

Beniakar

Wallmark

et al. 2020

2020 International Conference on Electrical Machines (ICEM)

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show abstract

“…The AFPM motor is advantageous for torque density, power density, high efficiency, and miniaturization compared to RFPM motor with the same volume and weight [9][10][11][12][13][14]. Figure 3 shows the shape and name of the RFPM motor and the AFPM motor [15]. The torque of the RFPM motor is proportional to the square of the motor diameter, as shown in Equation (1).…”

Section: Introductionmentioning

confidence: 99%

A Study on Optimal Design Process of Dual Rotor Axial-Flux Permanent Magnet Synchronous Motors

et al. 2023

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The core design elements of the motor for the co-robot joint are miniaturization and high torque. In this paper, a dual rotor axial-flux permanent magnet (DRAFPM) motor is proposed to improve the performance of robot joints. DRAFPM motors have the advantage of reducing iron loss and minimizing volume because they can remove stator yoke. When designing a motor with the same volume, it can be designed to increase the height of the fixed ruler by the thickness of the yoke of the fixed ruler and increase the number of turns. In the case of existing axial-flux permanent magnet (AFPM) motors, the shape of the three-dimensional structure is limited by radial laminating of stator. Therefore, considering the production of 3D printing, the shape of stator shoe is designed. The optimal design problem of DRAFPM motor consists of real and integer design variables. In addition, due to the structural characteristics of DRAFPM motors, 3D finite element analysis (FEA) is required, so it takes a long time to interpret. Therefore, this paper proposes an efficient optimal design process to optimize the remaining real design variables after prioritizing the integer design variables. The proposed optimization process is applied to the DRAFPM motor for robot joints, and the optimal design plan satisfying the design function is derived from various design variables to prove the validity of the optimization process.

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HTS axial flux induction motor with analytic and FEA modeling

Yang

Fang

et al. 2013

Physica C: Superconductivity

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Development of axial flux HTS induction motors

Cited by 5 publications

References 8 publications

Preliminary Electromagnetic Sizing of Axial-Flux Induction Machines

Preliminary Electromagnetic Sizing of Axial-Flux Induction Machines

A Study on Optimal Design Process of Dual Rotor Axial-Flux Permanent Magnet Synchronous Motors

HTS axial flux induction motor with analytic and FEA modeling

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