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JOHANNES KEPLER UNIVERSITÄT LINZ Netzwerk für Forschung, Lehre und Praxis Introduction to Magnetohydrodynamics Bakkalaureatsarbeit zur Erlangung des akademischen Grades Bakkalaureus der Technischen Wissenschaften in der Studienrichtung Technische Mathematik Angefertigt am Institut für Numerische Mathematik Betreuung: DI Peter Gangl Eingereicht von: Andreas Schafelner Linz, März 2016 Johannes Kepler Universität A-4040 Linz · Altenbergerstraße 69 · Internet: http://www.jku.at · DVR 0093696

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Page 1: IntroductiontoMagnetohydrodynamics - NUMA · JOHANNES KEPLER UNIVERSITÄT LINZ Netzwerk für Forschung, Lehre und Praxis IntroductiontoMagnetohydrodynamics Bakkalaureatsarbeit zurErlangungdesakademischenGrades

J O H A N N E S K E P L E RU N I V E R S I T Ä T L I N Z

N e t z w e r k f ü r F o r s c h u n g , L e h r e u n d P r a x i s

Introduction to Magnetohydrodynamics

Bakkalaureatsarbeitzur Erlangung des akademischen Grades

Bakkalaureus der Technischen Wissenschaftenin der Studienrichtung

Technische Mathematik

Angefertigt am Institut für Numerische Mathematik

Betreuung:

DI Peter Gangl

Eingereicht von:

Andreas Schafelner

Linz, März 2016

Johannes Kepler UniversitätA-4040 Linz · Altenbergerstraße 69 · Internet: http://www.jku.at · DVR 0093696

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Abstract

Magnetohydrodynamics denotes the study of the dynamics of electrically conductingfluids. It establishes a coupling between the Navier-Stokes equations for fluid dynamicsand Maxwell’s equations for electromagnetism. The main concept behind Magnetohy-drodynamics is that magnetic fields can induce currents in a moving conductive fluid,which in turn create forces on the fluid and influence the magnetic field itself.This Bachelor thesis is concerned with the mathematical modelling of Magnetohydro-dynamics. After introducing and deriving Maxwell’s Equations and the Navier-Stokesequations, their coupling is described and the governing equations for Magnetohydro-dynamics are obtained. Eventually some applications of Magnetohydrodynamics aredescribed, i.e., in industrial processes, geophysics and astrophysics.

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Contents

1 Introduction 11.1 What is Magnetohydrodynamics? . . . . . . . . . . . . . . . . . . . . . 11.2 Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

2 Electromagnetism 42.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

2.1.1 Electromagnetic quantities . . . . . . . . . . . . . . . . . . . . . 42.2 Maxwell’s Equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

2.2.1 The Ampère-Maxwell law . . . . . . . . . . . . . . . . . . . . . 52.2.2 The magnetic Gauss law . . . . . . . . . . . . . . . . . . . . . . 52.2.3 Faraday’s law . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2.4 Gauss’s law for electric fields . . . . . . . . . . . . . . . . . . . . 62.2.5 Constitutive equations and material laws . . . . . . . . . . . . . 72.2.6 The Lorentz force . . . . . . . . . . . . . . . . . . . . . . . . . . 82.2.7 The conservation of charge . . . . . . . . . . . . . . . . . . . . . 82.2.8 Summary of Maxwell’s Equations . . . . . . . . . . . . . . . . . 9

2.3 Simplifications for MHD . . . . . . . . . . . . . . . . . . . . . . . . . . 92.3.1 Maxwell’s Equations, constitutive laws and the Laplace force . . 92.3.2 The induction equation . . . . . . . . . . . . . . . . . . . . . . . 12

3 Fluid dynamics 143.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.2 Representation of a flow . . . . . . . . . . . . . . . . . . . . . . . . . . 14

3.2.1 Lagrangian representation . . . . . . . . . . . . . . . . . . . . . 143.2.2 Eulerian representation . . . . . . . . . . . . . . . . . . . . . . . 15

3.3 The transport theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.4 The continutiy equation . . . . . . . . . . . . . . . . . . . . . . . . . . 173.5 Equations of motion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.6 The Navier-Stokes equations . . . . . . . . . . . . . . . . . . . . . . . . 19

3.6.1 Non-dimensionalisation and the Reynolds number Re . . . . . . 21

4 Magnetohydrodynamics (MHD) 224.1 The governing equations . . . . . . . . . . . . . . . . . . . . . . . . . . 224.2 Non-dimensionalisation . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

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CONTENTS iii

4.2.1 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.3 Diffusion and Convection . . . . . . . . . . . . . . . . . . . . . . . . . . 24

4.3.1 Diffusion of the magnetic field . . . . . . . . . . . . . . . . . . . 254.3.2 Convection of the magnetic field . . . . . . . . . . . . . . . . . . 28

5 Applications of MHD 305.1 Simplifications for low Rem . . . . . . . . . . . . . . . . . . . . . . . . 305.2 MHD generators and pumps . . . . . . . . . . . . . . . . . . . . . . . . 31

5.2.1 Theory of Hartmann layers . . . . . . . . . . . . . . . . . . . . . 315.2.2 Applications of Hartmann layers . . . . . . . . . . . . . . . . . . 34

6 Conclusion 36

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Chapter 1

Introduction

1.1 What is Magnetohydrodynamics?In nature as in industrial processes, we can observe magnetic fields influencing thebehaviour of fluids and flows. In the metallurgical industry, magnetic fields are usedto stir, pump, levitate and heat liquid metals. The earth’s magnetic field, protectingthe surface from deadly radiation, is generated by the motion of the earth’s liquid core.Sunspots and solar flares are generated by the solar magnetic field and the galacticmagnetic field which influences the formation of stars from interstellar gas clouds. Weuse the word Magnetohydrodynamics (MHD) for all of these phenomena, where themagnetic field B and the velocity field u are coupled, given there is an electricallyconducting and non-magnetic fluid, e.g. liquid metals, hot ionised gases (plasmas) orstrong electrolytes. The magnetic field can induce currents into such a moving fluidand this creates forces acting on the fluid and altering the magnetic field itself.

1.2 NotationIn this short section of the thesis all facts about notation are presented. First of all,if not specified otherwise, a normal letter x represents a scalar value, whereas a boldletter x = (x1, x2, x3)T indicates a three dimensional vector. This holds for variables,constants and functions. Functions are either of static or dynamic nature. Staticfunctions depend only on space coordinates, e.g., T (x) gives the temperature in thepoint x, whereas dynamic functions additionally have a time-dependent component t,e.g., T (x, t) gives the temperature in the point x at time t. The symbol · representsthe euclidean inner product and × stands for the cross product. With | . | we denoteeither the absolute value of a scalar or the euclidean norm for vectors. Throughoutthe thesis the following differential operators will occur:

1

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CHAPTER 1. INTRODUCTION 2

Definition 1.1. Let u : R3 × [0, T ] → R3 and f : R3 × [0, T ] → R be sufficientlysmooth. Then the gradient ∇, the divergence ∇·, the curl ∇× and the Laplacian ∆are defined as

∇f =

∂f∂x1∂f∂x2∂f∂x3

∆f = ∂2f

∂x21

+ ∂2f

∂x22

+ ∂2f

∂x23

∇ · u = ∂u1

∂x1+ ∂u2

∂x2+ ∂u3

∂x3

∇× u =

∂u2∂x3− ∂u3

∂x2−∂u3∂x1

+ ∂u1∂x3

∂u2∂x1− ∂u1

∂x2

∆u =

∆u1∆u2∆u3

Remark 1.2. As we can see in Definition 1.1, the differential operators are only usingthe partial derivatives of the space coordinates, but not the time coordinate. Usuallythe operators are defined for every variable of a function.

Apart from differential operators, we will encounter different types of integrals, whichare also summarized in the following definition.

Definition 1.3. Let u : R3 × [0, T ] → R3 be a sufficiently smooth vector field. Wedefine the line integral as ˆ

C

u · dl :=ˆI

u(φ(τ)) · φ′(τ) dτ, (1.1)

with φ : I → R3 a parametrisation of the curve C ⊂ R3 and I = [a, b] ⊂ R.Furthermore we define the surface integral

ˆS

u · ~n dS :=ˆK

u(ψ(σ, τ)) ·(∂ψ

∂σ× ∂ψ

∂τ

)d(σ, τ), (1.2)

where ψ : K → R3 is a parametrisation of the surface S ⊂ R3 and K ⊂ R2 is areference domain.The volume integral is defined asˆ

V

u dx =ˆV

u(x1, x2, x3, t) d(x1, x2, x3), (1.3)

where V ⊂ R3 is a volume.

With these definitions, we can formulate two important theorems, which relate thedifferent types of integrals to each other.

Theorem 1.4 (Stokes’ Theorem). Let S be a surface in R3, parametrised by ϕ :M → R3, where M is a superset of a normal range K in R2, with ϕ(K) = S. Letϕ ∈ C2(M,R3) and ∂S be the boundary curve of S. Let u ∈ C1(ϕ(M),R3). Then itholds that ˆ

S

∇× u · ~n dS =ˆ∂S

u · dl. (1.4)

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CHAPTER 1. INTRODUCTION 3

Proof. See Thm. 8.50 in [2].

Theorem 1.5 (Divergence Theorem). Let V be a sufficiently smooth subset of R3 andlet ∂V its boundary. Let M ⊇ V and u ∈ C1(M,R3). Then it holds that

ˆ∂V

u · ~n dS =ˆV

∇ · u dx. (1.5)

Proof. See Thm. 8.58 and Remark 8.59 in [2]

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Chapter 2

Electromagnetism -Maxwell’s Equations

2.1 Introduction

2.1.1 Electromagnetic quantitiesThroughout this thesis, we will deal with a set of physical quantities to describe elec-tromagnetic processes. These are summarized in Table 2.1. However, some quantitiesneed further explanation. The electric field E = Es + Ei consists of two parts, theelectrostatic field Es and the induced electric field Ei which have a similar effect buta different structure. The electric current density J = J c + J i consists of the conductcurrent density J c and the induced current density J i. The magnetisation M quanti-fies the strength of a permanent magnet and the electric polarisation P is its electriccounterpart.

Variable Physical quantity UnitE electric field intensity [V/m]D electric flux density [As/m2]H magnetic field density [A/m]B magnetic flux density [V s/m2]J electric current density [A/m2]ρc electric charge density [As/m2]M magnetisation [V s/m2]P electric polarisation [As/m2]

Table 2.1: Overview of electromagnetic quantities

4

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CHAPTER 2. ELECTROMAGNETISM 5

2.2 Maxwell’s EquationsWe continue now by deriving Maxwell’s Equations. We start with the integral form ofeach equation and will then extract the differential form. Both forms are commonlyused, but for the following chapters, the latter will be used. The content of this sectionis based on [3] and [4].

2.2.1 The Ampère-Maxwell lawAmpère’s law, or more correctly Ampère-Maxwell’s law describes the relation of amagnetic field and an electric current.In terms of mathematics, we can write the relation as

˛C

H · dl =ˆS

(J + ∂D

∂t) · ~n dS, (2.1)

where C is a closed curve bounding a surface S.Now applying Stokes’ theorem to the left hand side of (2.1) gives us

ˆS

∇×H · ~n dS =ˆS

(J + ∂D

∂t) · ~n dS,

and as this holds for any surface S, we obtain

∇×H = J + ∂D

∂t. (2.2)

We call (2.2) the Ampère-Maxwell law in differential form. In the static case, (2.2)reduces to ∇×H = J , which is commonly known as Ampère’s law.

2.2.2 The magnetic Gauss lawGauss’s law for magnetic fields gives information about the magnetic flux. It statesthat the total magnetic flux through any closed surface is zero [3]. We can write thisin terms of mathematics as ˛

S

B · ~n dS = 0, (2.3)

with S a closed surface surrounding a volume V. Using the divergence theorem weobtain

0 =˛S

B · ~n dS =ˆV

∇ ·B dx,

which holds for arbitrary volumes V with closed surface S. From this we can derive

∇ ·B = 0, (2.4)

which is called the magnetic Gauss law in differential form.

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CHAPTER 2. ELECTROMAGNETISM 6

2.2.3 Faraday’s lawNow we derive Faraday’s law, which describes the relation between an electric fieldand a changing magnetic field. The notion behind this law is that changing magneticflux through a surface induces an electromotive force in any boundary path of thatsurface [3]. Mathematically, it states

˛C

E · dl = −ˆS

∂B

∂t· ~n dS, (2.5)

with S a surface bounded by a closed curve C and ~n the unit normal vector of S. Weagain apply Stokes’ theorem on the line integral,

˛C

E · dl =ˆS

∇×E · ~n dS,

and (2.5) turns into ˆS

∇×E · ~n dS = −ˆS

∂B

∂t· ~n dS.

This equation holds for any surface S, therefore we can derive Faraday’s law in differ-ential form:

∇×E = −∂B

∂t(2.6)

2.2.4 Gauss’s law for electric fieldsThe electric Gauss law relates the electric flux through a closed surface with the totalcharge within that surface and these are, in fact, proportional. We can formulate thisin a mathematical way as follows:

˛S

D · ~n dS =ˆV

ρc dx. (2.7)

Applying the divergence theorem gives usˆV

∇ ·D dx =˛S

D · ~n dS =ˆV

ρc dx,

and as this holds for any volume V, we obtain

∇ ·D = ρc, (2.8)

which is called the electric Gauss law in differential form.

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CHAPTER 2. ELECTROMAGNETISM 7

Material σ

Distilled water ≈ 10−4

Weak electrolytes 10−4 to 10−2

Strong electrolytes 10−2 to 102

Molten glass (1400C) 10 to 10−2

"Cold" plasmas (∼ 104K) ≈ 103

"Hot" Plasmas (∼ 106K) ≈ 106

Steel (1500C) 0.7 ∗ 106

Aluminium (700C) 5 ∗ 106

Sodium (400C) 6 ∗ 106

Table 2.2: Typical values for σ in MHD [6]

2.2.5 Constitutive equations and material lawsIn addition to Maxwell’s equations there exist some constitutive equations. First wehave the equation

B = µH + µ0M , (2.9)

which relates the magnetic flux density with the magnetic field intensity and thepermanent magnetisation. We have to be careful with the parameters µ and µ0. Theparameter µ is called the magnetic permeability and it varies with each material andcan depend on the magnetic field in a nonlinear way, i.e., µ = µ(|H|). By µ0 we denotethe vacuum permeability and it is a natural constant of magnitude µ0 = 4π10−7 [N/A2].Hence we can rewrite the permeability of any material as µ = µrµ0, with µr the relativepermeability.The second equation we consider is

D = εE + P , (2.10)

and it is the electric counterpart of (2.9). The parameter ε is the electric permittivity,which varies with each material. As before, we know the vacuum permittivity ε0 =8.854187 . . . 10−12 [As/(V m)], so we can assign each material its relative permittivityεr, with ε = ε0εr.Both natural constants are closely related to another natural constant, the speed oflight c, as they fulfil

µ0ε0c2 = 1,

or, in short, (µ0ε0)−1/2 = c.

Remark 2.1. For MHD, we are interested in isotropic liquid electrical conductors,such as liquid metals, molten salts and electrolytes. For these materials, the permittiv-ity and permeability are constant and equal to their vacuum values, i.e., µr = 1 = εr,so we can safely assume that ε = ε0 and µ = µ0 [6].

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CHAPTER 2. ELECTROMAGNETISM 8

Finally, there is a law of great significance, Ohm’s law. Here, we relate the conductcurrent density J c with the electric field E and some material parameter σ, the con-ductivity. Mathematically, the following equation holds:

J c = σE. (2.11)

However, if the medium is moving along a velocity field v, the conduct current densityJ c is additionally related to the magnetic field B. Thus (2.11) becomes

J c = σ(E + v×B). (2.12)

2.2.6 The Lorentz forceLet us consider a moving particle with velocity v and carrying a charge q. The forceacting on this particle is

f = qEs + qEi + q(v×B)

with Es the electrostatic field, Ei the induced electric field and v ×B the magneticforce. We combine Es and Ei to the electric field E and note that the quantity qE iscalled electric force. We call

f = q (E + v×B) (2.13)

the Lorentz force.

2.2.7 The conservation of chargeThe conservation of charge is a strong, local statement about the relation of currentand charge. A change in charge in a medium, or more generally, a fixed region, cannotoccur unless charge is transported trough the surface of said region. Let V be a fixedvolume with closed surface S = ∂V . The total amount of charge in this volume is

Q(t) =ˆV

ρc(x, t) dV , (2.14)

and the amount of electric current flowing through S is¸S

J · ~n dS. Thus the conser-vation of charge says

dQdt = −

˛S

J · ~n dS. (2.15)

We insert (2.14) into (2.15) and apply the divergence theorem to the right hand sideand obtain ˆ

V

∂ρc∂t

dV = −ˆV

∇ · J dV . (2.16)

Equation (2.16) holds for any volume V , so we obtain the differential form of theconservation of charge

∇ · J = −∂ρc∂t

. (2.17)

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CHAPTER 2. ELECTROMAGNETISM 9

Note that the conservation of charge is not an independent assumption, it can be de-rived fromMaxwell’s equations and is therefore built into the laws of electromagnetism.To do so, we start with the Ampere-Maxwell law, take the divergence and swap thetime-derivative with the divergence operator. Applying Gauss’s law for electric fieldsyields then the conservation of charge equation.

2.2.8 Summary of Maxwell’s EquationsLet us recapitulate what we have derived by now. First we have the governing equa-tions, consisting of the Ampére-Maxwell law, the magnetic Gauss law, Faraday’s lawand Gauss’s law for electric fields,

∇×H = J + ∂D

∂t,

∇ ·B = 0,

∇×E = −∂B

∂t,

∇ ·D = ρc.

Then we continue with the constitutive equations, namely the B-H-M relation, theD-E-P relation and Ohm’s law for fields in motion,

B = µH + µ0M ,

D = εE + P ,

J c = σ(E + v×B).

Finally, we have two electromagnetic phenomena, the Lorentz force per particle andthe conservation of charge,

f = q (E + v×B) ,

∇ · J = −∂ρc∂t

.

2.3 Simplifications for MHD

2.3.1 Maxwell’s Equations, constitutive laws and the Laplaceforce

So far we have discussed the full Maxwell Equations. However for MHD some sim-plifications can be made. First, let U be a characteristic speed, L a characteristiclength scale, B a characteristic magnetic field strength, H a characteristic magneticfield intensity, J a characteristic electric current density and E a characteristic electric

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CHAPTER 2. ELECTROMAGNETISM 10

field strength. From this, we derive a characteristic time scale T = U/L. Then ourkey quantities and differential operators can be written as

v = Uv∗, x = Lx∗, E = EE∗, J = JJ∗, ∇ = 1L∇∗,

t = Tt∗, B = BB∗, H = HH∗,∂

∂t= 1T

∂t∗, ∆ = 1

L2 ∆∗.(2.18)

Let us take a look at the constitutive relations. In MHD, we consider only materialswhich are conducting and are free of electric polarisation, magnetisation and impressedcurrents and have a linear B-H-Relation, i.e., J i = 0, P = 0, M = 0 and µ 6= µ(|H|).Moreover, from Remark 2.1 we know that µ and ε are constant and equal to theirvacuum values, i.e., µ = µ0 and ε = ε0. Thus our material laws (2.9) and (2.10)become

B = µH , (2.19)D = εE, (2.20)

and with our extended form of Ohm’s law (2.12), the current density J can be ex-pressed as

J = J c = σ (E + v×B) . (2.21)

We non-dimensionalise Maxwell’s equations, beginning with Faraday’s law (2.6)

∇×E = −∂B

∂t⇔ E

L∇∗ ×E∗ = −B

T

∂B∗

∂t∗.

Hence, we can deduce

E

L∼ B

T⇔ E

B∼ L

T= U.

Next we consider Ampère-Maxwell’s equation (2.2),

∇×H = J + ∂D

∂t⇔ H

L∇×H∗ = JJ∗ + D

T

∂D∗

∂t∗.

On the one hand, the contribution of the time derivative of D to the curl of H is oforder

D/T

H/L∼ µεEL

BT∼ U2

c2 .

In MHD, we consider only speeds of magnitude |v| c, which means that the con-tribution is very small. On the other hand, if we compare the magnitudes of currentdensity J with ∂D

∂t, we obtain

J

D/T∼ σET

εE= σ

εT,

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CHAPTER 2. ELECTROMAGNETISM 11

which is, as we can see in Table 2.2, much larger than U2/c2. Therefore we can omitthe dependence of the Ampère-Maxwell law on ∂D

∂tand use the pre-Maxwell form,

∇×H = J , or, in terms of B,

∇×B = µJ . (2.22)

Let us recall the Lorentz force (2.13), which acts on a single particle. In MHD we areinterested in the whole force acting on a medium, so we sum (2.13) up over a unitvolume. The sum of charges ∑ q becomes the charge density ρc and

∑qv transforms

into the electric current density J .Hence, (2.13) becomes

F = ρcE + J ×B, (2.23)

with F being the Lorentz force acting on a unit volume of our medium (volumetricLorentz force). We now survey the contributions to the Lorentz force in their magni-tude and follow the procedure suggested in [1]. First of all, let us recall the conservationof charge in differential form (2.17),

∇ · J = −∂ρc∂t

.

Taking the divergence of (2.21) and plugging in (2.17), (2.8) and (2.20), we obtain

0 = −∇ · J + σ∇ ·E + σ∇ · (v×B) = ∂ρc∂t

+ σ

ερc + σ∇ · (v×B), (2.24)

with σ the conductivity of our medium. The quantity τe = ε/σ is called chargerelaxation time and is, as we can deduce with Remark 2.1 and Table 2.2, around10−18 [s] for the materials typically used in MHD. In MHD we are interested in eventson a much larger time-scale, so we neglect the contribution of ∂ρc

∂tin comparison with

ρc/τe. Now non-dimensionalising the reduced form of (2.24) gives us

ρc = −εULB∇∗ · (v∗ ×B∗) or ρc ∼ ε

UB

L

and from Ohm’s law follows E ∼ J/σ. Hence ρcE is of magnitude

ρcE ∼ εUB

L

J

σ∼ τe

UJB

L,

and because τe is very small, the contribution of the electric force is negligible incomparison with the magnetic force. Thus, (2.23) reduces to

F = J ×B. (2.25)

This reduced form of the volumetric Lorentz force is also called the Laplace force [6].To sum up, we have seen that the displacement currents in (2.2) are negligible and the

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CHAPTER 2. ELECTROMAGNETISM 12

charge density ρc is of small significance, so we set it zero and drop the electric Gausslaw (2.8). Maxwell’s equations for MHD are therefore

∇×B = µJ , ∇ · J = 0, (2.26)

∇×E = −∂B

∂t, ∇ ·B = 0, (2.27)

with our extended Ohm’s law and the Laplace force

J = σ(E + v×B), F = J ×B. (2.28)

2.3.2 The induction equationWe can combine our extension of Ohm’s law (2.21), Faraday’s law (2.6) and Am-père’s law (2.22) to eliminate E from our equations and relate B to v. We start withFaraday’s law (2.6) and insert (2.21)

∂B

∂t= −∇×E = −∇×

(J

σ− v×B

)= − 1

σ∇× J +∇× (v×B).

Using Ampère’s law (2.22), we obtain

∂B

∂t= ∇× (v×B)− 1

σµ∇× (∇×B) .

Using the vector identity ∇ × (∇ ×B) = ∇(∇ ·B) − ∆B and the magnetic Gausslaw ∇ ·B = 0, we can formulate the induction equation as

∂B

∂t= ∇× (v×B) + λ∆B, (2.29)

with λ = (σµ)−1 the magnetic diffusivity. This equation is, as we will see, one themost important ones for MHD.Finally, let us non-dimensionalise the induction equation:

∂B

∂t= ∇× (v×B) + λ∆B

⇔ B

T

∂B∗

∂t∗= V B

L∇∗ × (v∗ ×B∗) + B

L2σµ∆∗B∗

⇔ ∂B∗

∂t∗= V T

L︸︷︷︸=1

∇∗ × (v∗ ×B∗) + T

L2σµ︸ ︷︷ ︸= 1Rem

∆∗B∗

For simplicity, we will now drop the asterisk for the dimensionless parameters andinstead use the normal variables. The dimensionless induction equation then reads

∂B

∂t= ∇× (v×B) + 1

Rem∆B, (2.30)

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CHAPTER 2. ELECTROMAGNETISM 13

with Rem = V L/λ and λ = (σµ)−1. We call Rem the magnetic Reynolds number andit is a measure for conductivity and, in terms of mathematics, for the relative strengthsof advection and diffusion in (2.30). Small and high magnetic Reynolds numbers resultin a very different behaviour of the medium. This concludes, for now, our derivationof the (electro)magnetic part of MHD.

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Chapter 3

Fluid dynamics -The Navier-Stokes equations

3.1 IntroductionWe will now derive the second half of MHD, the fluid dynamics. For now, we considerfluids under the influence of a generic body force. In fluid dynamics, we try to findthe velocity field v and the pressure p, as these quantities describe the motion and itsproperties, e.g. laminar/turbulent, compressible/incompressible, stationary/dynamic.However, before we can write down the governing equations of fluid dynamics, we needsome preparations and tools. The content of the following sections is based on [5].

3.2 Representation of a flowThere is more than one way to describe and represent a flow. In particular, twodifferent, yet directly connected approaches are used, the Lagrangian and the Eulerianrepresentation. We will discuss them both.

3.2.1 Lagrangian representationIn the Lagrangian representation the motion of the fluid is described by following theposition of each particle.Let (T1, T2) ⊂ R be a non-empty time interval in which we consider the flow. LetΩ(t) ⊂ R3 be the domain which is occupied by the fluid at time t ∈ (T1, T2). Lett0 ∈ (T1, T2) be a fixed reference time. Then each fluid particle in Ω(t0) can beidentified by its position x = (x1, x2, x3)T ∈ Ω(t0). The motion of a fluid particle isnow described by a vector field T : Ω(t0) × (T1, T2) → Ω(t), t ∈ (T1, T2). T (x, t) iscalled the trajectory of a fluid particle and returns the position of the particle x atthe time t.

14

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CHAPTER 3. FLUID DYNAMICS 15

Hence for the velocity field v and the acceleration field a, the following identities hold

v(x, t) = ∂T

∂t(x, t) and a(x, t) = ∂2T

∂t2(x, t). (3.1)

The tupel (x, t) ∈ Ω(t0)× (T1, T2) is called Lagrangian coordinates.

3.2.2 Eulerian representationThe Eulerian representation uses a more intuitive way to describe the flow. Here themotion of the fluid is described via the velocity field v : D → R3, with D := (x, t) ∈R : x ∈ Ω(t), t ∈ (T1, T2) a space-time cylinder. The vector field v(x, t) describesthe velocity of the particle x at time t,

v(x, t) = v(x, t) = ∂T

∂t(x, t), with x = T (x, t). (3.2)

For the acceleration a = a(x, t) of fluid particle x at time t, it holds that

a(x, t) = a(x, t) = ∂2T

∂t2(x, t) = ∂

∂t

(∂T

∂t(x, t)

)= ∂

∂t(v(x, t)) = ∂

∂t

(v(T (x, t), t)

)

=3∑i=1

∂v∂xi

(x, t)∂T i

∂t(x, t) + ∂v

∂t=

3∑i=1

∂v∂xi

vi + ∂v∂t

= (v · ∇)v + ∂v∂t.

The tupel (x, t) ∈ D is called Eulerian coordinates.

Definition 3.1. Let v be a vector field defined as in (3.2). Then the differentialoperators

v · ∇ :=3∑i=1

vi∂

∂xi, (3.3)

DDt := ∂

∂t+ (v · ∇) , (3.4)

are called convective derivative and total derivative (or material derivative), respec-tively.

Suppose we have a given velocity field v : D → R3, (x, t) 7→ v(x, t). To calculatethe trajectory T (x, t) of a fluid particle x, we simply have to solve the initial valueproblem

dx

dt = v(x, t),

x(t0) = x,(3.5)

with x(t) = T (x, t). This is useful to visualize the flow of a fluid, e.g. water in aturbine.

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CHAPTER 3. FLUID DYNAMICS 16

3.3 The transport theoremLet ω(t) ⊂ Ω(t) be a sufficiently smooth, simply connected domain, which is occupiedby a fixed set of fluid particles at the time t ∈ (T1, T2). Hence,

ω(t) = T (x, t) : x ∈ ω(t0). (3.6)

Let F : R3 × (T1, T2)→ R3 be a prescribed function, called property density. Integra-tion over ω(t) provides us with the property

F(t) :=ˆω(t)

F (x, t) dx. (3.7)

The transportation theorem describes the change of such a property over time.

Theorem 3.2 (Reynolds transportation theorem). Let t0 ∈ (T1, T2), ω(t0) ⊂ Ω(t0) ⊂Rd a bounded, sufficiently smooth domain with ω(t0) ⊂ Ω(t0), D := (x, t) ∈ Rd+1 :x ∈ Ω(t), t ∈ (T1, T2) a space-time cylinder, v : D → Rd, F : D → R be continuouslydifferentiable.Then F is well-defined by (3.5), (3.6) and (3.7) on a time-scale (t1, t2) ⊂ (T1, T2) and

ddtF(t) =

ˆω(t)

[∂F

∂t(x, t) +∇ · (Fv)(x, t)

]dx, (3.8)

with ∇ · (F v) = (v · ∇)F + F ∇ · v = ∇F · v + F ∇ · v.

Proof. We will only prove the 1-dimensional case, as the proof for higher dimensionsis far more technical.Let F be defined as in (3.7). Application of the substitution rule yields

F(t) =ˆω(t)

F (x, t) dx =ˆω(t0)

F (T (x, t), t)∂T

∂x(x, t) dx

Plugging this into (3.8) results in

ddtF(t) = d

dt

ˆω(t0)

F (T (x, t), t)∂T

∂x(x, t) dx

There is no time dependence in our integration domain, hence we can switch integration

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CHAPTER 3. FLUID DYNAMICS 17

and differentiation:

ddtF(t) =

ˆω(t0)

ddt

(F (T (x, t), t)∂T

∂x(x, t)

)dx

=ˆω(t0)

∂F

∂T(T (x, t), t)∂T

∂t(x, t)∂T

∂x(x, t) + ∂F

∂t(T (x, t), t)∂T

∂x(x, t)

+ ∂2T

∂t∂x(X, t)F (T (x, t), t) dx

=ˆω(t0)

∂F

∂T(T (x, t), t)v(x, t)∂T

∂x(x, t) + ∂F

∂t(T (x, t), t)∂T

∂x(x, t)

+ ∂

∂x(v(x, t))F (T (x, t), t) dx.

Here we used identity (3.1) and in the next step, we apply (3.2). Therefore

ddtF(t) =

ˆω(t0)

∂F

∂T(T (x, t), t)v(T (x, t), t)∂T

∂x(x, t) + ∂F

∂t(T (x, t), t)∂T

∂x(x, t)

+ ∂

∂x(v(T (x, t), t))F (T (x, t), t) dx

=ˆω(t0)

∂F

∂T(T (x, t), t)v(T (x, t), t)∂T

∂x(x, t) + ∂F

∂t(T (x, t), t)∂T

∂x(x, t)

+ ∂v

∂T(T (x, t), t)∂T

∂x(x, t)F (T (x, t), t) dx

=ˆω(t0)

[∂F

∂T(T (x, t), t)v(T (x, t), t) + ∂F

∂t(T (x, t), t)

+ ∂v

∂T(T (x, t), t)F (T (x, t), t)

]∂T

∂x(x, t) dx.

Back substitution and reordering results in

ddtF(t) =

ˆω(t)

∂F

∂t(x, t) + ∂F

∂x(x, t) v(x, t) + ∂v

∂x(x, t)F (x, t) dx,

which is, in fact, the 1D-version of (3.8).

Remark 3.3. The difficulty in the proof for higher dimensions is that the Jacobian ofx is now a 3× 3-Matrix, so differentiating the determinant is far more technical.

3.4 The continutiy equationLet ρ : D → R+, (x, t) 7→ ρ(x, t) and M(t) :=

´ω(t)ρ(x, t) dx. The function ρ(., .)

is called mass density [kg/m3] and describes the density of the fluid at the position

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CHAPTER 3. FLUID DYNAMICS 18

x at time t, whereas M(t) is the mass [kg] of a control domain ω(t). The principleof conservation of mass now states, that no mass is created or annihilated over time,thus

ddtM(t) = 0, for all t ∈ (T1, T2). (3.9)

Application of Theorem 3.2 on (3.9) gives us

0 = ddtM(t) = d

dt

ˆω(t)

ρ(x, t) dx(3.8)=ˆω(t)

∂ρ

∂t(x, t) +∇ · (ρv)(x, t) dx. (3.10)

Equation (3.10) is called the continuity equation in integral form. To obtain a partialdifferential equation (PDE), we notice that (3.10) holds for any domain ω(t) satisfyingthe conditions of Theorem 3.2. Hence, the continuity equation in classical form forcompressible fluids is

∂ρ

∂t(x, t) +∇ · (ρv)(x, t) = 0, for all (x, t) ∈ D. (3.11)

In the special case of incompressible fluids, the mass density is constant, ρ(x, t) =const > 0, so all derivatives of ρ vanish. Hence, the continuity equation for incom-pressible fluids is

∇ · v = 0. (3.12)

3.5 Equations of motionFrom Newton’s laws of motion, the law of conservation of momentum follows. Itstates that the change over time of momentum of a closed domain must be equal tothe external forces on the domain. Let ω(t) be defined as before and act as our closeddomain. Let

I(t) =ˆω(t)

ρ(x, t) v(x, t) dx, (3.13)

be the momentum of ω(t) and F (ω(t)) the external force. The external force can beseparated into the body force FV (ω(t)) and the surface force FS(ω(t)), so F (ω(t)) =FV (ω(t)) + FS(ω(t)). The body force can be represented as

FV (ω(t)) =ˆω(t)

f(x, t) dx, (3.14)

with the body force density f . For any body force density f , we can define a vectorfield b, such that f = ρ b. The surface force is given by

FS(ω(t)) =ˆ∂ω(t)

(σ · ~n)(x, t) dS, (3.15)

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CHAPTER 3. FLUID DYNAMICS 19

where σ = (σji)i,j=1,3 is Cauchy’s stress tensor and ~n is the outer unit normal vector.Using the divergence theorem on (3.15), we obtain

FS(ω(t)) =ˆω(t)∇ · σ(x, t) dx. (3.16)

The law of conservation of momentum states thatddtI(t) = F (ω(t)) (3.17)

is fulfilled. Plugging (3.13), (3.14) and (3.16) into (3.17) gives usddt

ˆω(t)

ρ(x, t) v(x, t) dx =ˆω(t)

ρ(x, t) b(x, t) +∇ · σ(x, t) dx

If our domain fulfils the requirements for Theorem 3.2, we can apply the transporttheorem component-wise:ˆ

ω(t)

∂(ρ vi)∂t

(x, t) +∇ · ((ρ vi)v)(x, t) dx =ˆω(t)

fi(x, t) + [∇ · σ]i(x, t) dx,

for i = 1, 2, 3. For simplicity, we will now drop the dependence on x and t in thenotation. This holds for arbitrary ω(t), we can therefore extract the equation ofmotion component-wise,

∂ρ

∂tvi + ρ

∂vi∂t

+ (v · ∇) (ρ vi)(x, t) + ρ vi∇ · v = fi + [∇ · σ]i, (3.18)

for i = 1, 2, 3.

3.6 The Navier-Stokes equationsNow we have the equations of motion, depending on the velocity v, the mass densityρ, the pressure p and the stress tensor σ, which depend all on x and t. Our goal isnow to rewrite σ in terms of v. For simplicity, we only consider Newtonian fluidswith constant viscosity, i.e., µf = const. With these given properties, the followingconstitutive law for the stress tensor applies:

σ = −pI + λ tr(E)I + 2µfE . (3.19)

Here, µf is the (first) viscosity of the flow, λ is a material parameter related to µf and

E = 12(∇v +∇vT

)(3.20)

is the symmetric part of the velocity gradient. Physics suggests µf ≥ 0 and λ ∼ 23µf .

Combining (3.19) and (3.20) gives us for the divergence of σ

[∇ · σ]i =3∑j=1

∂σji∂xj

= − ∂

∂xi

(p+ 2

3µf∇ · v)

+3∑j=1

µf∂

∂xj

(∂vi∂xj

+ ∂vj∂xi

), (3.21)

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CHAPTER 3. FLUID DYNAMICS 20

in the i-th component, for i = 1, 2, 3. We can rewrite the second term in (3.21) as

µf3∑j=1

∂xj

(∂vi∂xj

+ ∂vj∂xi

)= µf

(∆vi + ∂

∂xi(∇ · v)

),

so (3.21) becomes

[∇ · σ]i = − ∂

∂xi

(p− 1

3µf (∇ · v))

+ µf∆vi. (3.22)

Plugging (3.22) into (3.18) yields for the i-th component

∂ρ

∂tvi + ρ

∂vi∂t

+ (v · ∇) (ρvi) + ρvi∇ · v = fi −∂p

∂xi+ 1

3µf∂

∂xi(∇ · v) + µf∆vi.

Now let us examine this equation in detail. The convective term can be expanded to

(v · ∇) (ρvi) = v · ∇(ρvi) = v · (∇ρ)vi + v · (∇vi)ρ,

so we can rewrite the i-th component as follows:

vi(∂ρ

∂t+ρ∇ · v + v · (∇ρ))

+ ρ∂vi∂t

+ v · (∇vi)ρ = fi −∂p

∂xi+ 1

3µf∂

∂xi(∇ · v) + µf∆vi.

(3.23)

Due to (3.11), the first line of (3.23) is equal to 0, thus we obtain the Navier-Stokesequations (NSE) for compressible (Newtonian) fluids

ρ∂v∂t

+ ρ (v · ∇) v− 13µf∇(∇ · v)− µf∆v +∇p = f ,

∂ρ

∂t+∇ · (ρv) = 0.

(3.24)

If we consider the incompressible case, where ρ = const > 0 and then divide theequation by ρ, the compressible NSE (3.24) simplifies to

∂v∂t

+ (v · ∇) v− ν∆v + 1ρ∇p = 1

ρf ,

∇ · v = 0(3.25)

with ν = µfρ> 0 the kinematic viscosity. We call (3.25) the incompressible Navier-

Stokes equations.

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CHAPTER 3. FLUID DYNAMICS 21

3.6.1 Non-dimensionalisation and the Reynolds number ReIn the rest of this chapter we will non-dimensionalise the Navier-Stokes equationsand for simplicity, we assume incompressibility, i.e., ρ(x, t) = const > 0. Let L acharacteristic length-scale, T a characteristic time-scale, U be a characteristic velocitysatisfying U = L/T , and P = ρU2 a characteristic pressure. Then, with the samedefinitions as in (2.18),

⇔ρ∂v∂t

+ ρ (v · ∇) v− µf∆v +∇p = f

ρU

T

∂v∗

∂t∗+ ρ

U2

L(v∗ · ∇∗) v∗ − µf

U

L2 ∆∗v∗ + P

L∇∗p∗ = f .

Multiplying this equation with L/(ρU2) gives us

L

UT

∂v∗

∂t∗+ 1 (v∗ · ∇∗) v∗ − µf

ρUL∆∗v∗ + P

ρU2∇p∗ = L

ρU2 f

We can simply confirm that L/(UT ) = 1 and, because of the way we chose P , thatP/(ρU2) = 1. We additionally set (L/(ρU2))f = f∗ and then omit the asterisks, tofinally obtain the dimensionless equation

∂v∂t

+ (v · ∇) v− 1Re

∆v +∇p = f (3.26)

with the dimensionless parameter Re = UL/ν, the Reynolds number. For Re 1the flow is dominated by the viscosity term, whereas for Re 1 the convective termdominates.This concludes our consideration of fluid dynamics with a generic body force.

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Chapter 4

Magnetohydrodynamics (MHD)

4.1 The governing equationsIn the previous chapters we have gained knowledge about electromagnetism and fluiddynamics. We will now couple these two topics to derive the governing equationsfor MHD. We will consider only non-magnetic, conducting, Newtonian fluids, withuniform kinematic viscosity, i.e., ν = const, and incompressible flow. The followingcontent is based on the findings of [1] and [6].First we consider the reduced Maxwell’s equations (2.26)-(2.27), i.e.,

∇×B = µJ , ∇ · J = 0, (4.1)

∇×E = −∂B

∂t, ∇ ·B = 0, (4.2)

with Ohm’s law and the Laplace force

J = σ(E + u×B), F = J ×B. (4.3)

If we combine these, we gain a transportation equation for B, the induction equation(2.29), i.e.,

∂B

∂t= ∇× (u×B) + λ∆B, (4.4)

with λ = (σµ)−1 the magnetic diffusivity.On the other hand, the equations of motion give us the Navier-Stokes equations forincompressible flow (3.25),

∂u∂t

+ (u · ∇) u− ν∆u + 1ρ∇p = 1

ρf ,

∇ · u = 0.

Now we substitute the Lorentz force (4.3b) for f and obtain∂u∂t

+ (u · ∇) u− ν∆u + 1ρ∇p = 1

ρJ ×B

∇ · u = 0(4.5)

22

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CHAPTER 4. MAGNETOHYDRODYNAMICS (MHD) 23

with ν = µf/ρ the kinematic viscosity.For MHD, it might be useful to introduce another form of the Navier-Stokes equations.Let ω = ∇ × u denote the vorticity field. Using the vector identity ∇(u2/2) =(u · ∇) u + u × (∇× u) and neglecting the other forces f we can rewrite the firstequation of (3.25) as

∂u∂t

+∇(u2/2)− u× ω − ν∆u + 1ρ∇p = 0,

or∂u∂t

= u× ω −∇(p

ρ+ u2

2

)+ ν∆u. (4.6)

We now take the curl of (4.6) and switch the order of the differential operators. Weknow that the curl of a gradient of a scalar function is zero, so

∂ω

∂t= ∇× (u× ω) + ν∆ω. (4.7)

We call (4.7) the vorticity equation.

4.2 Non-dimensionalisationIn this section, we will discuss four dimensionless quantities which appear regularlyin MHD. First, we have the Reynolds number, Re = UL/ν, with U a typical velocityand L a characteristic length-scale. This number represents the ratio of viscous forcesand inertia. It is obtained by bringing the Navier-Stokes equations in absence of otherforces to a dimensionless form. Let us redo the procedure, but this time starting from(4.5). Let us further assume that J is primarily driven by u × B, then Ohm’s lawgives us

J ∼ σBV.

Knowing this, we non-dimensionalise (4.5) as before,

∂u∂t

+ (u · ∇) u− ν∆u + 1ρ∇p = 1

ρJ ×B

U

T

∂u∗

∂t∗+ U2

L(u∗ · ∇∗) u∗ − νU

L2 ∆∗u∗ + P

ρL∇∗p∗ = σB2U

ρJ∗ ×B∗.

We multiply this with L/U2 and drop the asterisks,

L

UT

∂u∂t

+ (u · ∇) u− ν

UL∆u + P

ρU2∇p = σB2L

ρUJ ×B

As before, LU/T = 1, P/(ρU2) = 1 and Re = UL/ν. The dimensionless quantity infront of the Lorentz force is called the interaction parameter N = σB2L/(ρU) and itrepresents the ratio of Lorentz force to inertia. The third dimensionless quantity we

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CHAPTER 4. MAGNETOHYDRODYNAMICS (MHD) 24

observe is the Hartmann number Ha = (ReN)1/2. It is a hybrid of Reynolds numberand interaction parameter. Here Ha2 serves as a representation of the ratio of Lorentzforce to viscous forces. The final dimensionless parameter, the magnetic Reynoldsnumber Rem = UL/λ, is not derived from the Navier-Stokes equations but from theinduction equation (4.4). It represents the ratio between advection and diffusion ofthe magnetic field.

4.2.1 SummarySo far we have non-dimensionalised the induction equation (4.4) and the NSE for MHD(4.5). The equations in dimensionless form read as follows:

∂B

∂t= ∇× (u×B) + 1

Rem∆B

and∂u∂t

+ (u · ∇) u− 1Re

∆u +∇p = N J ×B.

We call Re = V L/ν the Reynolds number and N = σB2L/ρV the interaction pa-rameter, with V a characteristic velocity and L a characteristic length scale. Thesetwo parameters are linked by the Hartmann number Ha = (N Re)1/2. And the fourthparameter is called the magnetic Reynolds number Rem = V L/λ = V Lµσ.

4.3 Diffusion and ConvectionWe have now established a coupling between electromagnetism and fluid dynamics.We will, at least for the rest of this chapter, only examine one half of the coupling. Inparticular, we take the velocity field u as prescribed and neglect the NSE entirely. Inother words, we take a look at the interaction between u and B, without taking theorigin of u or the back interaction of the Laplace force into account.Let us recall the induction equation (4.4), which we obtained fromMaxwell’s equations,

∂B

∂t= ∇× (u×B) + λ∆B,

with λ = (σµ)−1, and, obtained by taking the curl of the NSE, the vorticity equation(4.7),

∂ω

∂t= ∇× (u× ω) + ν∇ω,

where ν = µf/ρ.If we compare (4.4) and (4.7), we might expect a perfect analogon. This is not entirelycorrect, as u is obviously related to ω in a different way than its related to B. But asthe governing equations consist of the same differential operators, we have analogousresults for MHD as in classical vortex dynamics.

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CHAPTER 4. MAGNETOHYDRODYNAMICS (MHD) 25

We now discuss the parts of the induction equation. First, taking into account that∇ · u = 0, we use the vector identity ∇× (u×B) = (B · ∇)u− (u · ∇)B to rewrite(4.4), which yields

∂B

∂t+ (u · ∇)B = (B · ∇)u + λ∆B. (4.8)

The terms on the left hand side represent the total derivative (cf. Definition 3.1) ofB, denoted by DB

Dt . Here, the term (u · ∇)B represents the change in the magneticfield caused by fluid particles entering or leaving an infinitesimal volume. It is onlyconsidered important if the velocity field u is parallel to the direction of the greatestchange in B.The first term on the right hand side of (4.8) reflects the field production by stretchingof the field lines. The term vanishes in simple cases, as planar flow with the magneticfield perpendicular to the flow, but reaches its maximum near stagnation points.Finally, the second term on the right hand side of (4.8) stands for the diffusion of themagnetic field, it describes the transport of the magnetic field via diffusion, just like,for instance, heat.

4.3.1 Diffusion of the magnetic fieldNow let u = 0. Then the induction equation (4.4) reduces to

∂B

∂t= λ∆B, (4.9)

with λ = (σµ)−1. This equation may look familiar, if we compare it to the diffusionequation for heat,

∂T

∂t= α∆T, (4.10)

with α the thermal conductivity and T the temperature. As both phenomena canbe described by the same governing equation, the results of the theory of diffusion ofheat can be used to describe the diffusion of the magnetic field. Just as with heat, wecannot suddenly force a distribution of B on a medium, instead we can only prescribeboundary conditions and wait for the field to diffuse inward.Let us emphasise this with an example which can be verified in a laboratory experi-ment. Consider a very long cylinder Ω = (x1, x2, x3) ∈ R3 |x2

1 +x22 ≤ R2, a ≤ x3 ≤ b

with a, b, R ∈ R+ and |b− a| R. We will therefore use cylindrical coordinates(r, ϑ, z). We create the initial magnetic field by using a solenoid through which aconstant electric current is flowing. Then we know that B has the form

B =

00

B(r, t)

.At time t = 0, we have an uniform magnetic field B0 inside the cylinder and zerooutside,

B(r, 0) = B0 for r ≤ R.

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CHAPTER 4. MAGNETOHYDRODYNAMICS (MHD) 26

Furthermore we have the boundary conditions

B(R, t) = 0∂B

∂r(0, t) = 0

∀t.Taking the special form of B into account and transforming (4.9) into cylindricalcoordinates (∆u = 1

r∂∂r

(r ∂u∂r

) + 1r2∂2u∂ϑ2 + ∂2u

∂z2 ), we obtain a scalar partial differentialequation (PDE) for B,

∂B

∂t= λ

r

∂r(r∂B∂r

), (4.11a)

with the initial condition

B(r, 0) = B0, for r ∈ [0, R] (4.11b)

and the boundary conditions

B(R, t) =0∂B

∂r(0, t) =0

for t ∈ [0,∞). (4.11c)

To solve this PDE, we use a special ansatz function for the solution B, namely aseparation of variables. We assume B can be separated as

B(r, t) = f(t) g(r). (4.12)

We apply the derivatives occurring in (4.11) to our ansatz and obtain

∂B

∂t= ∂

∂t(f(t) g(r)) = f ′(t) g(r),

∂B

∂r= ∂

∂r(f(t) g(r)) = f(t) g′(r),

∂r(r ∂B

∂r) = ∂

∂r(r f(t) g′(r)) = f(t)(g′(r) + r g′′(r)).

(4.13)

If we require that B(r, t) 6= 0, then we know that also f(t) 6= 0 and g(r) 6= 0. Weinsert the derivatives (4.13) into (4.11) and obtain

f ′(t) g(r) = λ

r(f(t)(g′(r) + r g′′(r))) .

Dividing through λ f(t) g(r) yields

f ′(t)f(t) = 1

r

g′(r) + r g′′(r)g(r) .

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CHAPTER 4. MAGNETOHYDRODYNAMICS (MHD) 27

This equation must hold for all (r, t) ∈ [0, R]× [0,∞), so both sides have to be equalto a real constant, say γ2 ∈ R. Knowing this, we obtain two ordinary differentialequations (ODEs)

f ′(t) + λ γ2 f(t) = 0, (4.14)r g′′(r) + g′(r) + r γ2 g(r) = 0, (4.15)

where the constant γ2 has to be real and positive, as otherwise the magnetic energywould not dissipate. The ODE (4.15) has a special form, it is called a zero-index Besselequation of first order, whose solution is the first order zero-index Bessel functiong(r) = J0(γ r). This function has a countable set of roots βnn∈N. The function g(r)furthermore has to match the boundary condition,

B(R, t) = 0⇔ J0(γ R)f(t) = 0⇔ J0(γ R) = 0, (4.16)

from which we deduce that γ R must be a value in the set of roots βnn∈N. So thereis a countable set of eigenvalues γn = βn/R satisfying (4.16) with βn the roots of thefirst order zero-index Bessel function J0. For each of these γn, we can solve the otherODE (4.14) directly, obtaining

fn(t) = an exp(−γ2n λ t) = an exp(−β2

n λ t/R2),

as a solution, with an = const ∈ R for all n ∈ N. As each fn(t) is a solution of (4.14),the final solution is a series

B(r, t) =∞∑n=0

An exp(−β2n λ t

R2 )J0(βnr

R). (4.17)

The coefficients An can be determined by using the initial condition (4.11b), whichnow reads ∞∑

n=0An J0(βn

r

R) = B0, for r ∈ [0, R],

and the orthogonality of Bessel functions. Let us examine the solution in more detail.The roots βn of the first order zero index Bessel function are

β0 ≈ 2.40, β1 ≈ 5.52, β2 ≈ 8.65, β3 ≈ 11.79, ...

so we see that with increasing n, the β2n are growing rapidly. We can use this fact if we

want to determine the characteristic time for the extinction of an initial magnetic field.In this case, it is sufficient to use only the 0-th term of the series, as the exponentialfunction decreases very fast for growing βn. This simplified solution is now reduced toa single term,

B(r, t) = A0 exp(−β20 λ t

R2 )J0(β0r

R). (4.18)

We obtain the characteristic time in the same way as for the heat equation, which isas follows:

τ = R2

λβ20≈ µσ R2

5.78 . (4.19)

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CHAPTER 4. MAGNETOHYDRODYNAMICS (MHD) 28

The idea behind this formula, at least for its heat counterpart, is that τ represents thetime, which is needed for the heat to travel a distance R.We can apply this formula to some real life examples. If we consider a cylinder ofmagnetic iron, i.e., λ = (µσ)−1 ∼ 103[S/m2], with a radius of R = 10[cm], we obtainτ ≈ 103(10−1)2

5.78 ≈ 1.7[s] for the extinction time. We can also use this formula, leavingaside the fact of different geometries, with magnitudes which apply for Earth. Herewe have λ ∼ 10−1[S/m2] and R = 6 ∗ 106[m], so the extinction time is τ ≈ 2 ∗ 104[y].This would mean that the Earth’s magnetic field would have become extinct by now,as the evolution of Earth’s magnetic field can be traced back about 109[y]. As themagnetic field is still active today, there must be some kind of effect which generatesthe magnetic field. This leads us to the so called Geodynamo theory, which is beyondthe scope of this thesis (see [1, p.166-199]).

4.3.2 Convection of the magnetic fieldLet us assume now the case where λ is negligibly small, i.e., λ ≈ 0. This means wehave no diffusion. The induction equation now reads

∂B

∂t= ∇× (u×B). (4.20)

This equation is identical to the vorticity equation for inviscid fluids. Therefore twoimportant results of vortex theory, namely Helmholtz’s first law and Kelvin’s theorem,have their analoga in MHD. These two theorems are gathered into a single theorem,which is called Alfvén’s Theorem.

Theorem 4.1 (Alfvén’s Theorem).

1. The fluid elements that lie on a magnetic field line at some initial instant con-tinue to lie on that field line for all time, i.e., the field lines are frozen into thefluid.

2. The magnetic flux linking any loop moving with the fluid is constant, i.e.,

ddt

ˆS(t)

B · ~n dS = 0, (4.21)

with S(t) a surface bounded by a closed curve C(t).

Proof. See [1].

The assumption λ = 0 requires fairly large magnetic Reynolds numbers. This is typi-cally the case in astrophysics, where, due to the enormous length scales, the magneticReynolds number can exceed values of ∼ 108. A particular example for the frozen-inbehaviour of magnetic field lines in astrophysics is the phenomenon of sunspots.To get a glimpse at the mechanics behind sunspots, we first have to look at the innerstructure of the sun. We start with the surface of the sun. We know that it is not

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CHAPTER 4. MAGNETOHYDRODYNAMICS (MHD) 29

Figure 4.1: Schematic representation of the formation of sunspots

uniformly bright, but has, as a result to the convective turbulence occurring in theouter layer of the sun, a granular structure. The convective layer, as the outer layeris called, has an average thickness of 2 ∗ 105[km]. It consists of convection cells, whichform a pattern that is gradually evolving. The granular pattern of the sun’s surfacenow arises as hot, bright cells rise to the surface and colder, darker cells sink back intothe interior. The typical velocity for this convection is around 1[km/s], from which wededuce estimates for the (magnetic) Reynolds numbers, i.e., Re ∼ 1011 and Rem ∼ 108,which is very large. The sun itself has an average magnetic field of a few Gauss [Gs],which is similar to the earth’s one (note that 1[Gs] = 10−4[T ] = 10−4[V s/m2]). Asthe magnetic Reynolds number is high, this magnetic field is most likely to be frozeninto the fluid. Due to differential rotation, the magnetic field is stretched and intensi-fied, until the field strength rises in horizontal flux tubes. As the Lorentz force pointsradially outward for these tubes, the pressure and density inside these tubes is lessthan the surroundings, which results in a buoyancy force. For very thick tubes, thisforce is strong enough to partially destabilise the convection, so these parts tend todrift towards the surface. From time to time, flux tubes of diameter ∼ 104[km] emergethrough the surface into the sun’s atmosphere. Now sunspots are the areas where theflux tube leaves and re-enters the surface (A and B in Figure 4.1). As the magneticfield in the flux tubes is of enormous field strength (∼ 3000[Gs]), it cools the surfacein these areas through suppression of fluid motion and convection.

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Chapter 5

Applications of MHD at lowmagnetic Reynolds numbers

In this chapter, we will discuss some applications of MHD under the restriction of lowmagnetic Reynolds numbers, i.e., Rem 1. In other words, the magnetic field Binfluences the velocity field u but there is no significant influence of u on B. Such isthe case in liquid metal MHD, which are common in industrial processes. The contentsof this chapter are based on [1].Before we consider such applications, we have to take a look at the governing equationsfor low Rem.

5.1 Simplifications for low Rem

The core issue of the low Rem approximation is that, compared to the imposed mag-netic field, the magnetic field generated by induced currents is of little significance.Now let the magnetic field be steady, i.e., independent of time. Let E0, J0 and B0be the fields if u = 0 and let e, j and b be the infinitesimal perturbation in E, Jand B which are generated by a vanishingly small velocity field u. These lead to thefollowing equations:

∇×E0 = −∂B0

∂t= 0, J0 = σE0, (5.1)

∇× e = −∂b∂t, j = σ(e + u×B0). (5.2)

Note that we have skipped the contribution of u × b in (5.2). From Faraday’s law(5.2) we can deduce that e ∼ ub, as we can easily confirm:

∇× e = −∂b∂t

⇔ el∼ b

t⇔ e ∼ l

tb.

Again, we choose the characteristic length and time scale so that l/t = u with u thecharacteristic velocity. Hence, we can neglect the contribution of e in (5.2) and Ohm’s

30

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CHAPTER 5. APPLICATIONS OF MHD 31

law reduces toJ = J0 + j = σ(E0 + u×B0).

We know from (5.1) that E0 is irrotational, so we can write it as E0 = −∇V with Van electrostatic potential. The final form of Ohm’s law is therefore

J = σ (−∇V + u×B0) , (5.3)

and for the Laplace force we obtain

F = J ×B0. (5.4)

These two equations fully define the Laplace force. Also, J is uniquely determined by(5.3) as both the curl and the divergence are known [1].

5.2 MHD generators and pumpsWhen we want to understand the concept behind MHD generators (and pumps), wehave to look at the influence of the magnetic field at the boundary layers. In fact,we will discuss the so called Hartmann boundary layer. One of the key differencesto conventional boundary layers is the influence of a steady magnetic field which isperpendicular to the boundary.

5.2.1 Theory of Hartmann layersLet us consider a rectilinear shear flow adjacent to a plane and stationary surface, i.e.,

u =

u(x2)00

. (5.5)

Note that ∇ · u = 0 is satisfied. Far from the wall we assume the flow to be uniformand equal to u∞ > 0, but due to the no-slip boundary condition, i.e. u = 0 at the

Figure 5.1: Velocity profile and the Hartmann layer

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CHAPTER 5. APPLICATIONS OF MHD 32

boundary, there will be some sort of boundary layer close to said surface. Furthermore,we have a uniform imposed magnetic field,

B0 = B =

0B0

. (5.6)

Moreover, we assume that there is no imposed electric field, i.e., E0 = ∇V = 0. From(5.5) we deduce that ω = (0, 0, u′(x2))T , hence

B · ω = 0.

Now we take the divergence of (5.3) and obtain with some reordering (noting that∇ · J = 0)

∇ · (∇V ) = ∇ · (u×B0) = B · (∇× u) = B · ω = 0.This means that ∆V = 0. Furthermore, we deduce from (5.3) that

J = σ(u×B) = σ(

u(x2)00

× 0B0

) = σ

00

u(x2)B

,and with (5.4) we obtain

F = J ×B =

00

σ u(x2)B

× 0B0

=

−σ u(x2)B2

00

.Let us recall the NSE (4.5),

∂u∂t

+ (u · ∇) u− ν∆u + 1ρ∇p = 1

ρJ ×B,

which reduces to

−νρu′′(x2) + ∂p

∂x1= −σ u(x2)B2, (5.7)

∂p

∂x2= 0, (5.8)

∂p

∂x3= 0. (5.9)

We can transform (5.7) into

∂2

∂x22(u(x2)− u∞)− u(x2)− u∞

δ2 = 0, with δ =(ρν

σB2

) 12.

To obtain this result, we simply insert the special velocity u = u∞/(ρν) into (5.7) andsolve for the pressure derivative, which is constant with regard to x2. This we deduce

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CHAPTER 5. APPLICATIONS OF MHD 33

from (5.8). Now we set w = u−u∞ and solve the resulting 2nd order ODE. We obtainthe solution

w(x2) = c1 ex2δ + c2 e

−x2δ ↔ u(x2) = u∞ + c1 e

x2δ + c2 e

−x2δ .

The velocity u additionally has to match the boundary conditions

u(0) = 0limx2→∞

u(x2) = u∞

from which we deduce the final solution

u(x2) = u∞(1− e−x2δ ). (5.10)

We see that the velocity will increase exponentially over a short distance from theboundary (see Figure 5.1). The boundary layer formed by this is called the Hartmannlayer and its characteristic thickness ∼ δ is usually different to the thickness of aconventional boundary layer.Now we extend our experiment a bit. Let us consider the same flow as above, but thistime between two resting, parallel plates at x2 = ±h. Additionally we allow an imposedelectric field in x3-direction, i.e., E0 = (0, 0, E0)T . Hence, J = (0, 0, σ(E0 + u(x2)B))Tand for the Laplace force we obtain

F =

00

σE0 + σ u(x2)B

× 0B0

= σ

−E0B − u(x2)B2

00

.As before, the NSE reduces to

νρu′′(x2)− σ u(x2)B2 = ∂p

∂x1+ σE0B.

It can be easily shown that the solution to this equation is

u(x2) = u0

[1− cosh(x2/δ)

cosh(h/δ)

], (5.11)

where the constant u0 is given by

σB2u0 = − ∂p

∂x1− σE0B. (5.12)

Now recall the Hartmann number Ha, introduced in Section 4.2, but this time with hour characteristic length,

Ha = Bh(σ/ρν) 12 = h

δ,

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CHAPTER 5. APPLICATIONS OF MHD 34

Figure 5.2: Velocity profile at low and high Hartmann numbers

which explains where this dimensionless parameter comes from. With this notation,we obtain the final solution

u(x2) = u0

[1− cosh(Ha(x2/h))

cosh(Ha)

], (5.13)

with u0 as in (5.11).Let us take a look at the limits of the Hartmann number. For Ha → 0, the solutiontakes the form

u(x2) = u0

(1−

(x2

h

)), (5.14)

which is a parabolic velocity profile. For the other limit, i.e., Ha→∞, we observe theformation of Hartmann layers at the boundaries with an exponential velocity profilein said boundary layers and constant flow in between (see Figure 5.2).

5.2.2 Applications of Hartmann layersReal life applications of Hartmann layers now consist of, among others, MHD gen-erators and pumps. It also requires a large Hartmann number Ha, so we have therelations

u ≈ u0,

J ≈ σ(E0 + u0B),

u0B = −E0 −1σB

∂p

∂x1.

(5.15)

We are now free to choose E0, the external electric field. Depending on our choice weobtain three different cases. First we consider the case that E0 is zero or 1. Thenwe obtain J ≈ σu0B and ∂p

∂x1≈ −σB2u0. This means we induce a current, but at the

same time we also observe a pressure drop. In other words, we convert mechanicalenergy into electrical energy plus heat. Such a device is commonly known as generator.For the second case, we have no current, i.e., we choose J = 0. Hence we know that

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CHAPTER 5. APPLICATIONS OF MHD 35

E0 = −u0B and moreover, that the Laplace force is zero and the pressure gradientvanishes. The pressure therefore remains constant and we can measure E0 to obtainu0. This device is called a MHD flow meter.Eventually we consider the case of negative E0, but of higher magnitude than −u0B.Then the direction of J and, of course, J×B is reversed. We deduce that the pressuregradient ∂p

∂x1is positive, which means that electrical energy is converted into mechanical

energy and heat. Such devices are called pumps. These MHD pumps are commonlyused in the metallurgical and the nuclear industry, as they contain no moving partsand are therefore, at least theoretically, very resistant against abrasion. For instance,in fast breeder nuclear reactors, the coolant is liquid sodium, which is moved via theMHD pump principle.

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Chapter 6

Conclusion

We have started with the electromagnetic part of MHD, namely Maxwell’s equations.There we first derived the full equations and constitutive equations and then, with thehelp of some model assumptions, reduced the number of unknowns and equations. Bythis, we obtained the induction equation, or, in other words, a transport equation forthe magnetic field B. We continued with fluid dynamics, where we derived the conti-nuity equation and the equations of motion. These equations together with the modelassumptions of Newtonian fluids and incompressibility resulted in the Navier-Stokesequation for incompressible fluids (NSE). The coupling between the two equationshappens because of the presence of a velocity field u in the induction equation andthe presence of the Lorentz (or Laplace) force in the NSE. From non-dimensionalisingthese equations we received four dimensionless parameters, which measure the relativestrength of different physical phenomena, e.g., the ratio between viscous forces and in-ertia. We continued with analysing the parts of the induction equation. We concludedthe thesis with a particular application of MHD, namely MHD pumps and generatorsand the theory behind, the Hartmann layer.We have derived, under some assumptions, a model for MHD. The next possible stepscould be an analysis of the existence and uniqueness of a solution and the derivation ofa weak formulation with appropriate spaces. And from this weak formulation, we couldsurvey a Finite Element Method (FEM) for MHD. And eventually, as the governingequations are both non-linear (convective term in the NSE and curl in the inductionequation) and time-dependent, we could survey efficient solvers for the discretisedproblem.

36

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Bibliography

[1] P. A. Davidson. An introduction to magnetohydrodynamics. Cambridge texts inapplied mathematics ; [25]. Cambridge Univ. Press, Cambridge, 1. publ. edition,2001.

[2] H. W. Engl and A. Neubauer. Skriptum Analysis. Institut für Industriemathematik,Johannes Kepler Universität Linz, 2012.

[3] D. A. Fleisch. A student’s guide to Maxwell’s equations. Cambridge Univ. Press,Cambridge [u.a.], 1. ed., 11. print. edition, 2011.

[4] D. J. Griffiths. Introduction to electrodynamics. Pearson, Benjamin Cummings,San Francisco, Calif. [u.a.], 3. ed., internat. ed. edition, 2008.

[5] U. Langer. Lecture notes on Mathematical Methods in Engineering. Institut fürNumerische Mathematik, Johannes Kepler Universität Linz, 2014.

[6] R. J. Moreau. Magnetohydrodynamics. Fluid mechanics and its applications ; 3.Kluwer, Dordrecht [u.a.], 1990. Aus dem Franz. übers.

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