Modelling of bulk superconductor magnetisation Bulk Superconductivity Group, Department of Engineering Dr Mark Ainslie Royal Academy of Engineering (UK) Research Fellow Co-authors: Prof. Hiroyuki Fujishiro, Iwate University Jin Zou, University of Cambridge
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Modelling of bulk superconductor magnetisation
Bulk Superconductivity Group, Department of Engineering
Dr Mark Ainslie Royal Academy of Engineering (UK) Research Fellow
Co-authors: Prof. Hiroyuki Fujishiro, Iwate University Jin Zou, University of Cambridge
Presentation Outline
• Estimating trapped fields in bulks analytically
• Magnetisation techniques
• Overview of numerical modelling of magnetisation
• Case study: Field cooling magnetisation of bulk MgB2
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Bulk Superconductors
• Bulk superconducting materials trap magnetic flux via macroscopic electrical currents
• Magnetisation increases with sample volume
• Trapped field given by
Btrap = k µ0 Jc R
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A large, single grain bulk superconductor
Bulk Superconductors
• Bulk superconducting materials trap magnetic flux via macroscopic electrical currents
• Magnetisation increases with sample volume
• Trapped field given by
Btrap = k µ0 Jc R
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Typical trapped magnetic field profile of a
bulk superconductor
Bulk Superconductors
• Btrap = k µ0 Jc R
where • From Bean model (infinite slab) +
Biot-Savart law
• Example of an analytical model
• Easier & faster
• Rely on specific simplified geometries & simplified, homogeneous assumptions
• Constant Jc, no frequency / time dependence, etc.
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Bulk Superconductors
• Btrap = k µ0 Jc R
• Good candidate materials must be able to:
• Pin magnetic flux effectively
• Carry large current density, Jc, over large length scales
• Be insensitive to application of large magnetic fields, Jc(B)
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Example field & temperature dependence of critical current density, Jc(B,T), for bulk YBCO
Bulk Superconductors
• Superconductor properties actually vary with field & temperature
Jc(B,T) dependence
Electromagnetic & thermal models
• Numerical models are needed!
• Can simulate more practical & complex situations
• Disadvantages:
• More complex software & implementation
• Increased computational requirements & time
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Critical parameters for a superconducting material
• Simulate accurate temperature, magnetic field & current distributions
• Reducing costs & time required for costly & complex experiments
• Design & predict performance of magnetising fixtures & techniques
• Design & predict performance of practical bulk superconductor-based devices
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Numerical Modelling of Magnetisation
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• 2D axisymmetric generally sufficient for slower ZFC & FC techniques; for bulks with a homogeneous Jc distribution
• 3D required for PFM & an inhomogeneous Jc distribution around the ab-plane; for non-symmetric shapes
BULK GEOMETRY & MAGNETISATION
FIXTURE
ELECTROMAGNETIC FORMULATION
THERMAL EQUATIONS & PROPERTIES
Jc(B,T)
E-J POWER LAW
Numerical Modelling of Magnetisation
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BULK GEOMETRY & MAGNETISATION
FIXTURE
ELECTROMAGNETIC FORMULATION
THERMAL EQUATIONS & PROPERTIES
Jc(B,T)
E-J POWER LAW
• Magnetising fixture can be simulated by using uniform boundary conditions or by inserting a copper coil sub-domain
• Cooling can be simulated using a cold head / vacuum chamber (left) or by submersion in liquid cryogen (right)
Numerical Modelling of Magnetisation
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BULK GEOMETRY & MAGNETISATION
FIXTURE
ELECTROMAGNETIC FORMULATION
THERMAL EQUATIONS & PROPERTIES
Jc(B,T)
E-J POWER LAW
Finite element method is commonly used & well developed (other techniques do exist) Governing equations: Maxwell’s equations (H formulation) Other formulations also exist (A-V, T-Ω, Campbell’s equation)
Ampere’s Law
Faraday’s Law
Numerical Modelling of Magnetisation
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BULK GEOMETRY & MAGNETISATION
FIXTURE
ELECTROMAGNETIC FORMULATION
THERMAL EQUATIONS & PROPERTIES
Jc(B,T)
E-J POWER LAW
Thermal behaviour needs to be modelled when the bulk experiences a significant change in temperature, e.g., during PFM Governing equations: ρ = mass density, C = specific heat, κ = thermal conductivity, Q = heat source
Numerical Modelling of Magnetisation
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BULK GEOMETRY & MAGNETISATION
FIXTURE
ELECTROMAGNETIC FORMULATION
THERMAL EQUATIONS & PROPERTIES
Jc(B,T)
E-J POWER LAW
Can choose constant parameters for C, κ for T = Top as a decent approximation Can use measured experimental data/fitting function over a specific temperature range
Linear Jc0(T) relationship has also been used in the literature Assumption made is that in-field behaviour, Jc(B,T=Top), doesn’t change for variations around the operating temperature, Top
Numerical Modelling of Magnetisation
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BULK GEOMETRY & MAGNETISATION
FIXTURE
ELECTROMAGNETIC FORMULATION
THERMAL EQUATIONS & PROPERTIES
Jc(B,T)
E-J POWER LAW
E-J power law • Conventional conductors non-linear
permeability, linear resistivity • Superconductors linear permeability (µ0), non-
linear resistivity • Non-linearity is extreme: power law with n > 20
Case Study:
Field Cooling Magnetisation of
MgB2 Bulk Superconductors
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Bulk MgB2 Modelling
• Bulk MgB2 is an alternative to bulk (RE)BCO materials
• Cheaper, lighter
• More homogeneous Jc (pinning sites) distribution
• Relatively easier to fabricate, many processing techniques exist
• Up to 5.4 T trapped at 12 K (hot-pressing ball-milled Mg & B)
• Disadvantages:
• Lower operating temperature (15–20 K)
• More complex cryogenics
• Thermal instability flux jumps
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Bulk MgB2 Modelling
• Numerical modelling of bulk MgB2 is simpler than (RE)BCO
• Simplified assumptions regarding geometry and Jc distribution can be made
• 2D axisymmetric geometry, so H = [Hr, Hz], J = [Jφ], E = [Eφ]
• Can use measured Jc(B,T) characteristics of a single, small specimen
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Bulk MgB2 Modelling – Jc(B,T) Data Fitting
• Four samples measured:
• Trapped field (FC) between ~ 5-15 K and 40 K
• Jc(B,T) of single, small specimen
B S G Zou, Ainslie, Fujishiro et al. Supercond. Sci. Technol. 28 (2015) 075009
Bulk MgB2 Modelling – Field Cooling Magnetisation
• Simulating FC magnetisation process:
• FC with Bapp = Btrap:
1. 0 ≤ t ≤ x1 Apply ramped field to Bapp = Btrap at T = Tex > Tc
2. x1 ≤ t ≤ x2 Slow cooling of bulk to operating temperature, T = Top
3. x2 ≤ t ≤ x3 Slowly ramp applied field Bex 0
• In electromagnetic model, need to define ρ for all temperatures:
• For T > Tc, need to define ρnormal (ρnormal = 3 x 10-8 Ωm)
• For T < Tc, ρsc defined from E-J power law, where E = ρJ:
• To avoid non-convergence at Tc:
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Bulk MgB2 Modelling – Thermal Properties
• Can choose constant parameters for C, κ for T = Top
• When temperature change and/or change in thermal properties is insignificant
• Here, T changes from Tex = 100 K (> Tc) to Top = 5 – 30 K
• Measured experimental data from 0 – 100 K for each sample input directly into model (direct interpolation)
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Thermal equation:
Bulk MgB2 Modelling – Comparison of Results
• Simulation reproduces experimental trapped field measurements extremely well
• Samples have excellent homogeneity
• Model is validated as a fast & accurate tool to predict trapped field performance
• Any size of bulk MgB2 disc
• Any specific operation conditions
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Comparison of simulation & experimental results for trapped field in different bulk