Field Computation for Accelerator Magnets [electronic resource]: Analytical and Numerical Methods for Electromagnetic Design and Optimization

By: Russenschuck, Stephan [Author]Material type: TextTextPublisher: Hoboken : Wiley-VCH [Imprint] John Wiley & Sons, Incorporated May 2010ISBN: 9783527407699; 3527407693 (Trade Cloth)DDC classification: 539.736 LOC classification: QC787.C59Online resources: Full text available from Wiley-Blackwell Online Books Wiley-Blackwell Online BooksDissertation note: . Summary: Annotation Written by a leading expert on the electromagnetic design and engineering of superconducting accelerator magnets, this book offers the most comprehensive treatment of the subject to date. In concise and easy–to–read style, the author lays out both the mathematical basis for analytical and numerical field computation and their application to magnet design and manufacture. Of special interest is the presentation of a software–based design process that has been applied to the entire production cycle of accelerator magnets from the concept phase to field optimization, production follow–up, and hardware commissioning.Included topics:Technological challenges for the Large Hadron Collider at CERNAlgebraic structures and vector fieldsClassical vector analysisFoundations of analytical field computationFields and Potentials of line currentsHarmonic fieldsThe conceptual design of iron– and coil–dominated magnetsSolenoidsComplex analysis methods for magnet designElementary beam optics and magnet polaritiesNumerical field calculation using finite– and boundary–elementsMesh generationTime transient effects in superconducting magnets, including superconductor magnetization and cable eddy–currentsQuench simulation and magnet protectionMathematical optimization techniques using genetic and deterministic algorithmsPractical experience from the electromagnetic design of the LHC magnets illustrates the analytical and numerical concepts, emphasizing the relevance of the presented methods to a great many applications in electrical engineering. The result is an indispensable guide for high–energy physicists, electrical engineers, materials scientists, applied mathematicians, and systems engineers.
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Book Book US-Pakistan Center for Advanced Studies in Energy (USPCAS-E)
US-Pakistan Center for Advanced Studies in Energy (USPCAS-E)
NFIC 539.736 RUS-F 2010 (Browse shelf) Available CAS-E0001334
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Annotation Written by a leading expert on the electromagnetic design and engineering of superconducting accelerator magnets, this book offers the most comprehensive treatment of the subject to date. In concise and easy–to–read style, the author lays out both the mathematical basis for analytical and numerical field computation and their application to magnet design and manufacture. Of special interest is the presentation of a software–based design process that has been applied to the entire production cycle of accelerator magnets from the concept phase to field optimization, production follow–up, and hardware commissioning.Included topics:Technological challenges for the Large Hadron Collider at CERNAlgebraic structures and vector fieldsClassical vector analysisFoundations of analytical field computationFields and Potentials of line currentsHarmonic fieldsThe conceptual design of iron– and coil–dominated magnetsSolenoidsComplex analysis methods for magnet designElementary beam optics and magnet polaritiesNumerical field calculation using finite– and boundary–elementsMesh generationTime transient effects in superconducting magnets, including superconductor magnetization and cable eddy–currentsQuench simulation and magnet protectionMathematical optimization techniques using genetic and deterministic algorithmsPractical experience from the electromagnetic design of the LHC magnets illustrates the analytical and numerical concepts, emphasizing the relevance of the presented methods to a great many applications in electrical engineering. The result is an indispensable guide for high–energy physicists, electrical engineers, materials scientists, applied mathematicians, and systems engineers.

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