Magnetic Analysis of the Nb<sub>3</sub>Sn Low-Beta Quadrupole for the High-Luminosity LHC

Bermúdez, Susana Izquierdo; Ambrosio, G.; Chlachidze, G.; Ferracin, P.; Holik, Eddie Frank; DiMarco, J.; Todesco, E.; Sabbi, G.; Vallone, Giorgio; Wang, Xiaorong

doi:10.1109/tasc.2017.2651358

IEEE Trans. Appl. Supercond.

2017

DOI: 10.1109/tasc.2017.2651358

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Magnetic Analysis of the Nb₃Sn Low-Beta Quadrupole for the High-Luminosity LHC

Susana Izquierdo Bermúdez

G. Ambrosio

G. Chlachidze

et al.

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Cited by 6 publications

References 15 publications

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Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb3Sn wires

Bagni¹,

Bovone²,

Rack³

et al. 2021

Sci Rep

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The electro-mechanical and electro-thermal properties of high-performance Restacked-Rod-Process (RRP) Nb3Sn wires are key factors in the realization of compact magnets above 15 T for the future particle physics experiments. Combining X-ray micro-tomography with unsupervised machine learning algorithm, we provide a new tool capable to study the internal features of RRP wires and unlock different approaches to enhance their performances. Such tool is ideal to characterize the distribution and morphology of the voids that are generated during the heat treatment necessary to form the Nb3Sn superconducting phase. Two different types of voids can be detected in this type of wires: one inside the copper matrix and the other inside the Nb3Sn sub-elements. The former type can be related to Sn leaking from sub-elements to the copper matrix which leads to poor electro-thermal stability of the whole wire. The second type is detrimental for the electro-mechanical performance of the wires as superconducting wires experience large electromagnetic stresses in high field and high current conditions. We analyze these aspects thoroughly and discuss the potential of the X-ray tomography analysis tool to help modeling and predicting electro-mechanical and electro-thermal behavior of RRP wires and optimize their design.

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Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb3Sn wires

Bagni¹,

Bovone²,

Rack³

et al. 2021

Sci Rep

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Analysis of Field Errors for LARP Nb$_3$ Sn HQ03 Quadrupole Magnet

Wang

Ambrosio

Chlachidze

et al. 2017

IEEE Trans. Appl. Supercond.

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Abstract-The U.S. LHC Accelerator Research Program, in close collaboration with CERN, has developed three generations of high-gradient quadrupole (HQ) Nb3Sn model magnets, to support the development of the 150 mm aperture Nb3Sn quadrupole magnets for the High-Luminosity LHC. The latest generation, HQ03, featured coils with better uniformity of coil dimensions and properties than the earlier generations. The HQ03 magnet was tested at FNAL, including the field quality study. The profiles of low-order harmonics along the magnet aperture observed at 15 kA, 1.9 K can be traced back to the assembled coil pack before the magnet assembly. Based on the measured harmonics in the magnet center region, the coil block positioning tolerance was analyzed and compared with earlier HQ01 and HQ02 magnets to correlate with coil and magnet fabrication. To study the capability of correcting the low-order non-allowed field errors, magnetic shims were installed in HQ03. The expected shim contribution agreed well with the calculation. For the persistent-current effect, the measured a4 can be related to 4% higher in the strand magnetization of one coil with respect to the other three coils. Finally, we compare the field errors due to the inter-strand coupling currents between HQ03 and HQ02.Index Terms-LARP, Nb3Sn quadrupole magnets, field quality.

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Magnetic Measurements of the First Nb3Sn Model Quadrupole (MQXFS) for the High-Luminosity LHC

DiMarco

Ambrosio

Chlachidze

et al. 2017

IEEE Trans. Appl. Supercond.

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Magnetic Analysis of the Nb₃Sn Low-Beta Quadrupole for the High-Luminosity LHC

Cited by 6 publications

References 15 publications

Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb3Sn wires

Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb3Sn wires

Analysis of Field Errors for LARP Nb$_3$ Sn HQ03 Quadrupole Magnet

Magnetic Measurements of the First Nb3Sn Model Quadrupole (MQXFS) for the High-Luminosity LHC

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Magnetic Analysis of the Nb3Sn Low-Beta Quadrupole for the High-Luminosity LHC

Cited by 6 publications

References 15 publications

Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb3Sn wires

Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb3Sn wires

Analysis of Field Errors for LARP Nb$_3$ Sn HQ03 Quadrupole Magnet

Magnetic Measurements of the First Nb3Sn Model Quadrupole (MQXFS) for the High-Luminosity LHC

Contact Info

Product

Resources

About

Magnetic Analysis of the Nb₃Sn Low-Beta Quadrupole for the High-Luminosity LHC