2006
DOI: 10.1016/j.cryogenics.2005.03.008
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A physical model and numerical method for losses investigation in superconducting cable-in-conduit conductors (CICC)

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Cited by 10 publications
(7 citation statements)
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“…Therefore, the relevant set of magnetic parameters is the pair ((𝑛𝜅 1 , 𝜏 1 ) , (𝑛𝜅 2 , 𝜏 2 )) where the first set can be related to the first stage contribution and the second set to the second stage one. We also showed that diagonalizing [𝜏] in (1) or only its central part by using (3) will give nearly identical pairs of parameters ((𝑛𝜅 1 𝜏 1 ), (𝑛𝜅 2 𝜏 2 )). This is due to the small norm of the terms (𝜏 00 , 𝜏 01 , 𝜏…”
Section: System Reductionmentioning
confidence: 74%
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“…Therefore, the relevant set of magnetic parameters is the pair ((𝑛𝜅 1 , 𝜏 1 ) , (𝑛𝜅 2 , 𝜏 2 )) where the first set can be related to the first stage contribution and the second set to the second stage one. We also showed that diagonalizing [𝜏] in (1) or only its central part by using (3) will give nearly identical pairs of parameters ((𝑛𝜅 1 𝜏 1 ), (𝑛𝜅 2 𝜏 2 )). This is due to the small norm of the terms (𝜏 00 , 𝜏 01 , 𝜏…”
Section: System Reductionmentioning
confidence: 74%
“…OUPLING losses modelling of CICC for fusion magnets remains a domain of interest as seen in [1], [2], [3], [4], [5] and are often obtained by using numerical codes as in [2] or [6]. We propose here an analytical general method applicable to any 𝑛-stage cable to reach this objective.…”
Section: Introductionmentioning
confidence: 99%
“…As result of our previous numerical [6] and experimental [2] investigation of the forced flow cabling conductors some interesting evidence was found, in particular:…”
Section: Experimental Method Test Facility and Samplementioning
confidence: 85%
“…However, we could only measure the helium temperature, but not the strand temperature. It is shown in [6] that the difference between the final temperature of helium and maximum temperature of strand can be relevant (Fig. 7).…”
Section: B Determination Of Energy Input To the Samplementioning
confidence: 96%
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