Optimization of a 3D-Printed Permanent Magnet Coupling Using Genetic Algorithm and Taguchi Method

Andriushchenko, Ekaterina; Kallaste, Ants; Belahcen, Anouar; Vaimann, Toomas; Rassõlkin, Anton; Heidari, Hamidreza; Tiismus, Hans

doi:10.3390/electronics10040494

Cited by 15 publications

(8 citation statements)

References 26 publications

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“…Thirdly, the shape of the core can be optimized for achieving uniform magnetization, weight reduction and improved thermal capacity. Several methods for improving ferromagnetic part performance through topology optimization are discussed in further detail in [20,21]. For improved heat exchange of the printed transformer, enhanced convective heat transfer can easily be obtained by increasing its outer surface area with different surface relief structures [22].…”

Section: Discussionmentioning

confidence: 99%

Additive Manufacturing and Performance of E-Type Transformer Core

et al. 2021

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Additive manufacturing of ferromagnetic materials for electrical machine applications is maturing. In this work, a full E-type transformer core is printed, characterized, and compared in terms of performance with a conventional Goss textured core. For facilitating a modular winding and eddy current loss reduction, the 3D printed core is assembled from four novel interlocking components, which structurally imitate the E-type core laminations. Both cores are compared at approximately their respective optimal working conditions, at identical magnetizing currents. Due to the superior magnetic properties of the Goss sheet conventional transformer core, 10% reduced efficiency (from 80.5% to 70.1%) and 34% lower power density (from 59 VA/kg to 39 VA/kg) of the printed transformer are identified at operating temperature. The first prototype transformer core demonstrates the state of the art and initial optimization step for further development of additively manufactured soft ferromagnetic components. Further optimization of both the 3D printed material and core design are proposed for obtaining higher electrical performance for AC applications.

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Section: Discussionmentioning

confidence: 99%

Additive Manufacturing and Performance of E-Type Transformer Core

et al. 2021

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“…In this paper, the SA of the design parameters was carried out using the Taguchi method and analysis of variance (ANOVA). Detailed descriptions of the Taguchi and ANOVA methods are presented in the following papers [11,12,19]. The Taguchi method provided a plan of experiments for the SA with a reduced number of required simulations.…”

Section: Taguchi Methodsmentioning

confidence: 99%

“…Aiming to obtain the values of the objective functions, these experiments can be both carried out as real tests or simulations. Then, based on the results of the Taguchi experiments, the ANOVA can be carried out [19]. The sensitivity analysis was carried out using the six design parameters discussed in Section 4.…”

Section: Taguchi Methodsmentioning

confidence: 99%

Sensitivity Analysis for Multi-Objective Optimization of Switched Reluctance Motors

et al. 2022

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The main issue of the switched reluctance motor (SRM) is its noise and vibration caused by high torque ripples on the rotor’s shaft. Many methods have been developed for improving the torque characteristic of the SRM. For example, design optimization is one of the promising approaches to the noise and vibration reduction of the SRM. Particularly, topology optimization (TO) of the stator and rotor can be highly beneficial to addressing the torque ripple issue. However, the TO of the SRM appears to be computationally demanding. To overcome this issue, this study proposes a method aiming to reduce the computational complexity of the TO through the reduction of the design space. Particularly, this paper presents a sensitivity analysis of a list of unique design parameters of the SRM and their influence on the average torque of the motor and the torque ripple of the motor. By applying the sensitivity analysis, the design space of the TO could be reduced, leading to a considerable decrease in the TO computational burden. Additionally, valuable conclusions on the geometrical parameters’ influences on the SRM torque and torque ripple have been drawn.

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“…This terminology is usually divided into two parts: classical and modern methodologies [37]. These strategies are similar to the Taguchi proposed orthogonal arrays [36,[47][48][49]. The main difference is that random error exists in a laboratory experiment but does not exist in a computer experiment [37,50].…”

Section: Design Of Experiments For Tolerance Analysismentioning

confidence: 99%

Automatic Tolerance Analysis of Permanent Magnet Machines with Encapsuled FEM Models Using Digital-Twin-Distiller

Orosz¹,

Gadó²,

Katona

et al. 2021

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Tolerance analysis is crucial in every manufacturing process, such as electrical machine design, because tight tolerances lead to high manufacturing costs. A FEM-based solution of the tolerance analysis of an electrical machine can easily lead to a computationally expensive problem. Many papers have proposed the design of experiments, surrogate-model-based methodologies, to reduce the computational demand of this problem. However, these papers did not focus on the information loss and the limitations of the applied methodologies. Regardless, the absolute value of the calculated tolerance and the numerical error of the applied numerical methods can be in the same order of magnitude. In this paper, the tolerance and the sensitivity of BLDC machines’ cogging torque are analysed using different methodologies. The results show that the manufacturing tolerances can have a significant effect on the calculated parameters, and that the mean value of the calculated cogging torque increases. The design of the experiment-based methodologies significantly reduced the calculation time, and shows that the encapsulated FEM model can be invoked from an external system-level optimization to examine the design from different aspects.

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Optimization of a 3D-Printed Permanent Magnet Coupling Using Genetic Algorithm and Taguchi Method

Cited by 15 publications

References 26 publications

Additive Manufacturing and Performance of E-Type Transformer Core

Additive Manufacturing and Performance of E-Type Transformer Core

Sensitivity Analysis for Multi-Objective Optimization of Switched Reluctance Motors

Automatic Tolerance Analysis of Permanent Magnet Machines with Encapsuled FEM Models Using Digital-Twin-Distiller

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