Author/Creator: Bagni, T - British Library Electronic Legal Deposit Catalogue-Journal Issues and Articles Search Results

Author/Creator Bagni, T

1. Analysis of ITER NbTi and Nb3Sn CICCs experimental minimum quench energy with JackPot, MCM and THEA models. (26th July 2017)

Authors:: Bagni, T; Duchateau, J L; Breschi, M; Devred, A; Nijhuis, A
Journal:: Superconductor science & technology
Issue:: Volume 30:Number 9(2017:Sep.)
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Record Type:: Journal Article
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2. Effects of the initial axial strain state on the response to transverse stress of high-performance RRP Nb3Sn wires. (29th January 2021)

Authors:: Troitino, J Ferradas; Bagni, T; Barth, C; Bordini, B; Ferracin, P; Gamperle, L; Tommasini, D; Zurmuehle, D; Senatore, C
Journal:: Superconductor science & technology
Issue:: Volume 34:Number 3(2021)
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Record Type:: Journal Article
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3. Electromagnetic and thermal stability of the ITER Central Solenoid during a 15 MA plasma scenario. (19th June 2019)

Authors:: Bagni, T; Devred, A; Nijhuis, A
Journal:: Superconductor science & technology
Issue:: Volume 32:Number 8(2019:Aug.)
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Record Type:: Journal Article
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4. Modeling and validation of nonlinear voltage-current characteristics of ITER PF joint sample tested in the SULTAN facility. (7th January 2022)

Authors:: Huang, J; Bagni, T; Ilyin, Y; Nijhuis, A
Journal:: Superconductor science & technology
Issue:: Volume 35:Number 2(2022)
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Record Type:: Journal Article
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5. Quench energy studies in ITER conductors for different magnetic field perturbations with Jackpot and THEA combined models. (23rd July 2018)

Authors:: Bagni, T; Duchateau, J L; Devred, A; Nijhuis, A
Journal:: Superconductor science & technology
Issue:: Volume 31:Number 9(2018:Sep.)
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Record Type:: Journal Article
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6. Strand level modeling of contact resistance and coupling loss for EU-DEMO-TF prototype conductors. (12th September 2019)

Authors:: Bagni, T; Devred, A; Nijhuis, A
Journal:: Superconductor science & technology
Issue:: Volume 32:Number 10(2019:Oct.)
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Record Type:: Journal Article
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7. Tomography analysis tool: an application for image analysis based on unsupervised machine learning. (1st March 2022)

Authors:: Bagni, T; Haldi, H; Mauro, D; Senatore, C
Journal:: IOP SciNotes
Issue:: Volume 3:Number 1(2022)
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Record Type:: Journal Article
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