Testing of the Superconducting Magnet and Cryogenics for the AMS-02 Experiment

The superconducting magnet, cryogenics, and detector systems of the AMS experiment was fully integrated and tested in test beam at CERN during 2009. In Spring 2010 the experiment underwent thermal vacuum tests at ESTEC, where it was operated in conditions simulating those that will pertain in orbit. All elements of the superconducting magnet and cryogenics performed as designed, and equilibrium operation was attained at several values of vacuum case temperature. Details of the tests are presented. A thermal model of the overall cryogenic system was calibrated from those measurements. The model was used to predict the cryogenic lifetime of the experiment, as it would be staged on ISS, to be (28 ± 6) months.

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Concept of a Cryogenic System for a Cryogen-Free 25 T Superconducting Magnet

Physics Procedia ◽

10.1016/j.phpro.2015.06.095 ◽

2015 ◽

Vol 67 ◽

pp. 326-330 ◽

Cited By ~ 1

Author(s):

Sadanori Iwai ◽

Masahiko Takahashi ◽

Hiroshi Miyazaki ◽

Taizo Tosaka ◽

Kenji Tasaki ◽

...

Keyword(s):

Superconducting Magnet ◽

Cryogenic System

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The Cryogenic System of the Superconducting Magnet for the Alpha Magnetic Spectrometer

10.1063/1.2202551 ◽

2006 ◽

Cited By ~ 1

Author(s):

S. M. Harrison

Keyword(s):

Superconducting Magnet ◽

Magnetic Spectrometer ◽

Cryogenic System ◽

Alpha Magnetic Spectrometer

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Numerical Study of Electrostatic Field Distortion on LPTPC End-Plates based on Bulk Micromegas Modules

EPJ Web of Conferences ◽

10.1051/epjconf/201817406007 ◽

2018 ◽

Vol 174 ◽

pp. 06007

Author(s):

Purba Bhattacharya ◽

Deb Sankar Bhattacharya ◽

Supratik Mukhopadhyay ◽

Nayana Majumdar ◽

Sudeb Bhattacharya ◽

...

Keyword(s):

Electrostatic Field ◽

Linear Collider ◽

Numerical Study ◽

Superconducting Magnet ◽

Simulation Framework ◽

Test Beam ◽

Field Distortion ◽

Signal Sensitivity ◽

Micro Pattern ◽

First Time

The R&D activities for the linear collider TPC (LC-TPC) are currently working on the adoption of the micro pattern devices for the gaseous amplification stage. Several beam tests have been carried out at DESY with a 5 GeV electron beam in a 1 T superconducting magnet. We worked on a large prototype TPC with an end-plate that was built, for the first time, using seven resistive bulk Micromegas modules. During experiments, reduced signal sensitivity was observed at the boundary of these modules. Electrostatic field distortion near the module boundaries was considered to be the possible major reason behind these observations. In the present work, we will explore this hypothesis through numerical simulation. Our aim has been to understand the origin of distortions observed close to the edges of the test beam modules and to explore the possibility of using the Garfield simulation framework for investigating a phenomenon as complex as distortion.

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Lumped-Element Dynamic Electro-Thermal model of a superconducting magnet

Cryogenics ◽

10.1016/j.cryogenics.2016.04.004 ◽

2016 ◽

Vol 80 ◽

pp. 346-356 ◽

Cited By ~ 24

Author(s):

E. Ravaioli ◽

B. Auchmann ◽

M. Maciejewski ◽

H.H.J. ten Kate ◽

A.P. Verweij

Keyword(s):

Thermal Model ◽

Superconducting Magnet ◽

Lumped Element

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Implementation of Thermal Models in Grinding

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.329.3 ◽

2007 ◽

Vol 329 ◽

pp. 3-8 ◽

Cited By ~ 2

Author(s):

Michael N. Morgan ◽

W.B. Rowe

Keyword(s):

Intelligent Control ◽

Thermal Model ◽

Quality Criteria ◽

Fully Integrated ◽

Intelligent Control System ◽

Monitoring Process ◽

Wide Range ◽

Industrial Operations ◽

Reliability And Robustness ◽

Grinding Operations

A thermal model has been implemented in industrial operations where reliability and robustness are important. To fully exploit the potential and usefulness of the thermal model it is necessary to tune the model to accommodate a wide range of wheel / workpiece combinations whilst also satisfying different quality criteria. Implementation is relatively simple and thermal damage to the workpiece can be avoided in most grinding operations. The monitoring process can also be used to aid in optimising dressing intervals or as a tool to identify deteriorating conditions. It is important to understand how to develop and implement strategies to satisfy different user needs. This paper reports on issues associated with tuning the model. Guidance is provided to assist with implementation of the thermal model either as a stand alone monitoring tool or as a fully integrated embedded feature of an intelligent control system. The paper has been prepared in response to queries on this matter from industrial practitioners.

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