Thermal conductivity of YBCO and thermal conductance at YBCO/ruby boundary Part 2: Hysteresis behaviour between 40 and 230 K

Terzijska, B.M.; Wawryk, R.; Dimitrov, Dimitre; Marucha, Cz.; Rafałowicz, J.

doi:10.1016/0011-2275(92)90346-c

Cited by 3 publications

(1 citation statement)

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“…All the other layers: copper and silver stabilization layers, hastelloy substrate, and superconducting YBCO layer should be considered in the heat diffusion. The thicknesses of the layers in the analyzed case are summarized in Table I and specific properties of each material are presented in [4], [7], [8], [11]. The copper stabilization layer has the highest impact on heat diffusion: its thermal conductivity is the same as that of silver, but its thickness is 10 times larger.…”

Section: Materials Propertiesmentioning

confidence: 99%

Prediction of 2G HTS Tape Quench Behavior by Random Forest Model Trained on 2-D FEM Simulations

Sotnikov

Lyly

Salmi

2023

IEEE Trans. Appl. Supercond.

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Detailed Finite Element Method (FEM) based simulations for 2G HTS tapes return high quality results, but the computation takes a long time due to the non-linearity of superconducting properties and they needed high mesh density. This work describes a method for prediction of quench behavior in a long 2G HTS tape based on a series of 2D FEM model simulations for short length of tape in many different conditions. The random forest model is trained by the set of results from the short-pieces FEM calculations. Subsequently the model can be applied to any length of HTS tape with similar thermal characteristics. Comparison of quench simulation in 10 cm long HTS tape between a detailed FEM model and a fully trained random forest model show that the predicted temperatures are within 0.68 %, while the computation time is significantly faster: The random forest model ran in less than 1 s, while the run time of the FEM model was 5:30 min.

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Section: Materials Propertiesmentioning

confidence: 99%