Modelling of bulk superconductor magnetisation

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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

Transcript of Modelling of bulk superconductor magnetisation

Page 1: Modelling of bulk superconductor magnetisation

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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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

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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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Typical trapped magnetic field profile of a

bulk superconductor

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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

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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

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Magnetisation of Bulk Superconductors

• Three magnetisation techniques:

• Field Cooling (FC)

• Zero Field Cooling (ZFC)

• Pulsed Field Magnetisation (PFM)

• To trap Btrap, need at least Btrap or higher

• FC and ZFC require large magnetising coils

• Impractical for applications/devices

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ZFC FC

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Magnetisation of Bulk Superconductors

• Three magnetisation techniques:

• Field Cooling (FC)

• Zero Field Cooling (ZFC)

• Pulsed Field Magnetisation (PFM)

• To trap Btrap, need at least Btrap or higher

• FC and ZFC require large magnetising coils

• Impractical for applications/devices

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ZFC FC

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Pulsed Field Magnetisation

• PFM technique = compact, mobile, relatively inexpensive

• Issues = Btrap [PFM] < Btrap [FC], [ZFC]

• Temperature rise ΔT due to rapid movement of magnetic flux

• Record PFM trapped field = 5.2 T at 29 K (45 mm diameter Gd-Ba-Cu-O) [Fujishiro et al. Physica C 2006]

• Highest trapped field by FC > 17 T at 26 K (2 x 25 mm dia Gd-Ba-Cu-O) [Durrell et al. Supercond. Sci. Technol. 2014]

• Many considerations:

• Pulse magnitude, pulse duration, temperature, number of pulses, shape of magnetising coil(s)

• Dynamics of magnetic flux during PFM process

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Numerical Modelling of Magnetisation

• Numerical modelling plays a number of crucial roles:

• Interpret experimental results & physical mechanisms of bulk superconductor magnetisation

• 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

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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)

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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

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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

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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

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Numerical Modelling of Magnetisation

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BULK GEOMETRY & MAGNETISATION

FIXTURE

ELECTROMAGNETIC FORMULATION

THERMAL EQUATIONS & PROPERTIES

Jc(B,T)

E-J POWER LAW

(RE)BCO materials Kim-like model: Fishtail effect: MgB2 materials • Some software packages, e.g., COMSOL, allow

direct interpolation of experimental data without need for data fitting e.g., Hu et al. Supercond. Sci. Technol. 28 (2015) 065011

• Important for coated conductor modelling where in-field behaviour can be quite complex: Jc(B,θ,T)

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Numerical Modelling of Magnetisation

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BULK GEOMETRY & MAGNETISATION

FIXTURE

ELECTROMAGNETIC FORMULATION

THERMAL EQUATIONS & PROPERTIES

Jc(B,T)

E-J POWER LAW

Ainslie, Fujishiro et al. submitted to Supercond. Sci. Technol.

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Numerical Modelling of Magnetisation

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BULK GEOMETRY & MAGNETISATION

FIXTURE

ELECTROMAGNETIC FORMULATION

THERMAL EQUATIONS & PROPERTIES

Jc(B,T)

E-J POWER LAW

Zou, Ainslie, Fujishiro et al. Supercond. Sci. Technol. 28 (2015) 075009

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Numerical Modelling of Magnetisation

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BULK GEOMETRY & MAGNETISATION

FIXTURE

ELECTROMAGNETIC FORMULATION

THERMAL EQUATIONS & PROPERTIES

Jc(B,T)

E-J POWER LAW

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

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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

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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

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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:

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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

MgB2 samples Zou, Ainslie, Fujishiro et al. Supercond. Sci. Technol. 28 (2015) 075009

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Topical Review – Bulk Superconductor Modelling

Available (free article until Dec 2016) Superconductor Science & Technology http://iopscience.iop.org/0953-2048/28/5/053002/

Topics include: Calculating trapped fields; practical magnetisation techniques; AC losses & demagnetisation; novel & hybrid bulk superconductor structures

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Presentation Outline

• Estimating trapped fields in bulks analytically

• Magnetisation techniques

• Overview of numerical modelling of magnetization

• Case study: Field cooling magnetization of bulk MgB2

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Thank you for listening Contact email: [email protected] Website: http://www.eng.cam.ac.uk/~mda36/