CERN Accelerating science

Published Articles
Title Assembly and Tests of SQ02, a Nb$_{3}$Sn Racetrack Quadrupole Magnet for LARP
Author(s) Ferracin, P (LBNL, Berkeley) ; Ambrosio, G (Fermilab) ; Barzi, E (Fermilab) ; Caspi, S (LBNL, Berkeley) ; Dietderich, D R (LBNL, Berkeley) ; Feher, S (Fermilab) ; Gourlay, S A (LBNL, Berkeley) ; Hafalia, A R (LBNL, Berkeley) ; Hannaford, C R (LBNL, Berkeley) ; Lizarazo, J (LBNL, Berkeley) ; Lietzke, A F (LBNL, Berkeley) ; McInturff, A D (LBNL, Berkeley) ; Sabbi, G L (LBNL, Berkeley) ; Zlobin, A V (Fermilab)
Publication 2007
Number of pages 4
In: IEEE Trans. Appl. Supercond. 17 (2007) 1019-1022
In: Applied Superconductivity Conference, Seattle, WA, USA, 27 Aug - 1 Sep 2006, pp.1019-1022
DOI 10.1109/TASC.2007.898513
Subject category Accelerators and Storage Rings
Accelerator/Facility, Experiment LARP
CERN LHC
Project CERN HL-LHC
Abstract The US LHC Accelerator Research Program (LARP) is developing Nb$_{3}$Sn accelerator magnets for a possible LHC luminosity upgrade. As part of the LARP supporting R&D;, a subscale racetrack quadrupole magnet (SQ) has been developed in order to provide a cost effective tool for technology development studies. The first magnet (SQO1), reported earlier, was tested as a proof-of-principle model that applied for the first time LBNL shell-based loading structure to racetrack coils in a quadrupole configuration. The new loading structure, pre-loaded with water-pressurized bladders and keys, provided predictable and controllable pre-stress to four subscale racetrack coils, both in the end region and across the straight section. A second magnet (SQO2) has been recently completed, with the goal of assessing the conductor performance and the influence of the coil axial support on training. SQO2 implements four new coils wound around aluminum bronze islands and instrumented with voltage taps and spot heaters, in order to monitor quench locations and propagation velocities. This paper reports the SQO2 test results, including magnet quench performance with respect to short sample expectations, training history, and quench locations.
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