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Computation of Superconducting Stacks Magnetization in an Electrical Machine

Superconducting technology offers the prospect of sharply increasing power density of rotating electrical machines, especially in the low-speed, high-torque range, with impact in applications such as wind energy and aircraft propulsion. Among the enabling technologies, stacks consisting of piled up...

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Autores principales: Climente-Alarcon, Vicente, Patel, Anup, Baskys, Algirdas, Glowacki, Bartek A
Lenguaje:eng
Publicado: 2019
Acceso en línea:https://dx.doi.org/10.1109/TASC.2019.2923537
http://cds.cern.ch/record/2702141
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author Climente-Alarcon, Vicente
Patel, Anup
Baskys, Algirdas
Glowacki, Bartek A
author_facet Climente-Alarcon, Vicente
Patel, Anup
Baskys, Algirdas
Glowacki, Bartek A
author_sort Climente-Alarcon, Vicente
collection CERN
description Superconducting technology offers the prospect of sharply increasing power density of rotating electrical machines, especially in the low-speed, high-torque range, with impact in applications such as wind energy and aircraft propulsion. Among the enabling technologies, stacks consisting of piled up layers of high-temperature superconductors may provide a source of magnetic flux density for torque production, without the complexity of superconducting wound rotor poles. For this to happen, careful designs optimizing electromagnetic, mechanical, and thermal aspects at the same time must be developed. In that sense, this paper applies a recently developed combined electromagnetic formulation to compute the magnetization level of high-temperature superconductor stacks installed in the airgap of an electrical motor after field cooling magnetization. The results, congruent with the applied field, show a strong interaction between the teeth and stacks and provide a way of initializing the state of the machine prior to operation.
id oai-inspirehep.net-1764487
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
record_format invenio
spelling oai-inspirehep.net-17644872019-11-27T09:57:27Zdoi:10.1109/TASC.2019.2923537http://cds.cern.ch/record/2702141engClimente-Alarcon, VicentePatel, AnupBaskys, AlgirdasGlowacki, Bartek AComputation of Superconducting Stacks Magnetization in an Electrical MachineSuperconducting technology offers the prospect of sharply increasing power density of rotating electrical machines, especially in the low-speed, high-torque range, with impact in applications such as wind energy and aircraft propulsion. Among the enabling technologies, stacks consisting of piled up layers of high-temperature superconductors may provide a source of magnetic flux density for torque production, without the complexity of superconducting wound rotor poles. For this to happen, careful designs optimizing electromagnetic, mechanical, and thermal aspects at the same time must be developed. In that sense, this paper applies a recently developed combined electromagnetic formulation to compute the magnetization level of high-temperature superconductor stacks installed in the airgap of an electrical motor after field cooling magnetization. The results, congruent with the applied field, show a strong interaction between the teeth and stacks and provide a way of initializing the state of the machine prior to operation.oai:inspirehep.net:17644872019
spellingShingle Climente-Alarcon, Vicente
Patel, Anup
Baskys, Algirdas
Glowacki, Bartek A
Computation of Superconducting Stacks Magnetization in an Electrical Machine
title Computation of Superconducting Stacks Magnetization in an Electrical Machine
title_full Computation of Superconducting Stacks Magnetization in an Electrical Machine
title_fullStr Computation of Superconducting Stacks Magnetization in an Electrical Machine
title_full_unstemmed Computation of Superconducting Stacks Magnetization in an Electrical Machine
title_short Computation of Superconducting Stacks Magnetization in an Electrical Machine
title_sort computation of superconducting stacks magnetization in an electrical machine
url https://dx.doi.org/10.1109/TASC.2019.2923537
http://cds.cern.ch/record/2702141
work_keys_str_mv AT climentealarconvicente computationofsuperconductingstacksmagnetizationinanelectricalmachine
AT patelanup computationofsuperconductingstacksmagnetizationinanelectricalmachine
AT baskysalgirdas computationofsuperconductingstacksmagnetizationinanelectricalmachine
AT glowackibarteka computationofsuperconductingstacksmagnetizationinanelectricalmachine