TFC-PREDIM: A FE dimensioning procedure for the TF coil system of a DEMO tokamak reactor

Ivashov, Ilia; Biel, W.; Mertens, Philippe

doi:10.1016/j.fusengdes.2020.111948

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…A mechanical assessment of some of the cases proposed in the present work has been conducted using the tool for pre-dimensioning the TF coil cross-section developed at Forschungszentrum Jülich (FZJ) [8]. This tool solves a detailed 2D Finite Element Model (FEM) of the TF inner leg at the equatorial plane.…”

Section: Methodsmentioning

confidence: 99%

Parametric study of the TF coil design for the European DEMO

Wesche

Sarasola

Guarino

et al. 2021

Fusion Engineering and Design

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Section: Methodsmentioning

confidence: 99%

Parametric study of the TF coil design for the European DEMO

Wesche

Sarasola

Guarino

et al. 2021

Fusion Engineering and Design

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“…An interesting approach was proposed in [12] to maximize the toroidal field for a pre-defined radial build while verifying the structural integrity with a simplified structural approach, but not including the detailed cable design and hotspot temperatures calculation. In the mentioned article [12], the peak magnetic field for each layer is evaluated analytically in order to define the cable space area (including superconducting material, helium and stabilizer) defining a 'special function' to correlate the current density with the toroidal field value.…”

Section: Introductionmentioning

confidence: 99%

A methodological approach for the optimal design of the toroidal field coils of a tokamak device using artificial intelligence

Tomassetti¹,

Marzi²,

Zignani³

et al. 2021

Supercond. Sci. Technol.

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As prototypes of future commercial tokamaks, DEMOs nuclear fusion power plants are expected to be able to produce cost-effective electrical power. In this view, an optimized design becomes crucial in the whole engineering workflow. Up to now, the design of one of the most critical components, the cross-section of each of the toroidal field coils inner leg winding pack, was performed using a sequential trial-and-error procedure. In this work, a novel comprehensive approach is proposed to include all the main design aspects into a unified tool taking advantage of artificial neural networks for faster computation in finding optimal design configurations. This procedure overcomes several difficulties including dealing with both real-valued and discrete design variables, the significant CPU-time of magneto-structural analysis and also guarantees the optimality for the winding pack configuration. The proposed methodology was demonstrated for the 2019 ENEA DEMO configuration which includes 16 toroidal field coils, made-up of 6 Nb3Sn double layers and a Wind and React manufacturing technique.

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An approach of calculating winding pack smeared properties for TF magnets using artificial neural network

Liu

Gao

et al. 2023

Fusion Engineering and Design

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TFC-PREDIM: A FE dimensioning procedure for the TF coil system of a DEMO tokamak reactor

Cited by 6 publications

References 7 publications

Parametric study of the TF coil design for the European DEMO

Parametric study of the TF coil design for the European DEMO

A methodological approach for the optimal design of the toroidal field coils of a tokamak device using artificial intelligence

An approach of calculating winding pack smeared properties for TF magnets using artificial neural network

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