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South Dakota State University South Dakota State University Open PRAIRIE: Open Public Research Access Institutional Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange Repository and Information Exchange Electronic Theses and Dissertations 2017 Simulation of Magnetically Confined Inductively Coupled Plasma Simulation of Magnetically Confined Inductively Coupled Plasma Sina Javadpour South Dakota State University Follow this and additional works at: https://openprairie.sdstate.edu/etd Part of the Electrical and Computer Engineering Commons, Mechanical Engineering Commons, and the Physics Commons Recommended Citation Recommended Citation Javadpour, Sina, "Simulation of Magnetically Confined Inductively Coupled Plasma" (2017). Electronic Theses and Dissertations. 1147. https://openprairie.sdstate.edu/etd/1147 This Thesis - Open Access is brought to you for free and open access by Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange. For more information, please contact [email protected].

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Page 1: Simulation of Magnetically Confined Inductively Coupled Plasma

South Dakota State University South Dakota State University

Open PRAIRIE: Open Public Research Access Institutional Open PRAIRIE: Open Public Research Access Institutional

Repository and Information Exchange Repository and Information Exchange

Electronic Theses and Dissertations

2017

Simulation of Magnetically Confined Inductively Coupled Plasma Simulation of Magnetically Confined Inductively Coupled Plasma

Sina Javadpour South Dakota State University

Follow this and additional works at: https://openprairie.sdstate.edu/etd

Part of the Electrical and Computer Engineering Commons, Mechanical Engineering Commons, and

the Physics Commons

Recommended Citation Recommended Citation Javadpour, Sina, "Simulation of Magnetically Confined Inductively Coupled Plasma" (2017). Electronic Theses and Dissertations. 1147. https://openprairie.sdstate.edu/etd/1147

This Thesis - Open Access is brought to you for free and open access by Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange. For more information, please contact [email protected].

Page 2: Simulation of Magnetically Confined Inductively Coupled Plasma

SIMULATION OF MAGNETICALLY CONFINED INDUCTIVELY COUPLED

PLASMA

BY

SINA JAVADPOUR

A thesis submitted in partial fulfillment of the requirements for the

Master of Science

Major in Mechanical Engineering

South Dakota State University

2017

Page 3: Simulation of Magnetically Confined Inductively Coupled Plasma
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iii

ACKNOWLEDGEMENTS

I would like to thank Dr. Delfanian, Director of METLAB, for his help and

support throughout my 2.5 years at SDSU and Dr. Hu, for giving me the chance to get

acquainted with Dr. Delfanian and Dr. Fan and his supervision. My sincere gratitude goes

to Dr. Fan for introducing material processing plasma to me and trusting me with this

research project. Furthermore, I am greatly in debt of Dr. Letcher for involving me in

various research projects and Ms. Jane Boggs, Secretary of ME Department, for helping

me get acquainted with Dr. Hu and Dr. Delfanian and receive the graduate research

assistantship, which made it possible for me to attend SDSU to study for my master’s

degree.

This research was supported by the National Science Foundation under awards #1462389

and #1536209. Also acknowledged are South Dakota State University and Fraunhofer

USA Center for Coatings and Diamond Technologies.

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iv

CONTENTS

ABBREVIATIONS………………………..…………………………………..…….…....v

LIST OF FIGURES………………………..…………………………….…..…….…….vii

LIST OF TABLES………………………..…………………………………..…….….....ix

ABSTRACT………………………………..………………………………….…….….....x

INTRODUCTION……….………………………………………………………………..1

MATERIALS AND METHODS……………………………………………………….....6

RESULTS AND DISCUSSIONS………………………………………………………..16

CONCLUSION………..…………………………………………………………………27

LITERATURE CITED………………………………………………………….……….28

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v

ABBREVIATIONS

K Kelvin

A Ampere

V Volt

Ω Ohm

2D 2 Dimensional

3D 3 Dimensional

mm millimeter

cm centimeter

eV Electron Volt

RF Radio Frequency

CCP Capacitively Coupled Plasma

ICP Inductively Coupled Plasma

EEDF Electron Energy Distribution Function

mTorr Milli Torr

Rad Radian

S Simens

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vi

F Farad

Hz Hertz

N Newton

C Coulomb

T Tesla

s Second

PVD Physical Vapor Deposition

EBPVD Electron Beam Physical Vapor Deposition

CVD Chemical Vapor Deposition

HDPCVD High Density Plasma Chemical Vapor Deposition

PECVD Plasma Enhanced Chemical Vapor Deposition

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vii

LIST OF FIGURES

Figure 1. Front, side, and bottom views of the half-toroidal coil…………………………8

Figure 2. Front, side, and top view of the single cylindrical coil…………………………9

Figure 3. 3D view of single cylindrical and half-toroidal coils……………………….…..9

Figure 4. ICP simulation models with single cylindrical and half-toroidal antennas……10

Figure 5. Cut-plane depicted in red, passing through the middle section of the simulation

models and used to plot the main plasma variables………………………….…………..16

Figure 6. Electron density cross-section plots for cylindrical and half toroidal coil

designs……………………………………………………………………………..……..17

Figure 7. Electron density volume histogram plots for cylindrical and half toroidal coil

designs…………………………………………………………………………………....18

Figure 8. Electron temperature cross-section plots for cylindrical and half toroidal coil

designs……………………………………………………………………………..……..19

Figure 9. Electron temperature volume histogram plots for cylindrical and half toroidal

coil designs………………………………………………………………………….……20

Figure 10. Argon ion density cross-section plots for cylindrical and half toroidal coil

designs…………………………………………………………………………………....21

Figure 11. Argon ion density volume histogram plots for cylindrical and half toroidal coil

designs……………………………………………………………………………….…...22

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viii

Figure 12. Excited argon density cross-section plots for cylindrical and half toroidal coil

designs…………………………………………………………………………………....23

Figure 13. Excited argon density volume histogram plots for cylindrical and half toroidal

coil designs……………………………………………………………………………….24

Figure 14. Electric potential cross-section plots for cylindrical and half toroidal coil

designs……………………………………………………………………………….…...25

Figure 15. Electric potential volume histogram plots for cylindrical and half toroidal coil

designs…………………………………………………………………………………....26

Figure 16. Magnetic field flux plots for cylindrical and half-toroidal coil

designs.……………………………………………………………………………….......27

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ix

LIST OF TABLES

Table 1. Collision processes included in the simulated argon discharge.………………..13

Table 2. Average of main plasma variables over the entire chamber volume…….……..26

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x

ABSTRACT

SIMULATION OF MAGNETICALLY CONFINED INDUCTIVELY COUPLED

PLASMA

SINA JAVADPOUR

2017

In this work, a new parallel coil design was presented to address the need for high

density inductively coupled plasmas with enhanced properties and a more uniform and

consistent distribution, suitable for large-area material processing. Fluid model

simulations of 3D argon inductively coupled plasma (ICP) were performed in COMSOL

for the proposed coil and a conventional single cylindrical coil with the same impedance

to be used as reference, to compare and evaluate the performance of this new half-

toroidal parallel coil design and study its effects on the main variables of the generated

plasma. Through different comparisons of the simulations results, it was shown that using

the new half-toroidal coil has the advantage of a higher and more uniform power

deposition over the conventional cylindrical coil, resulting in a plasma with enhanced

main variables and a more even distribution than those generated by the traditional

methods. These improvements in the generated plasma provide a larger effective area to

be used for material processing, increasing the efficiency of the system.

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INTRODUCTION

Plasma is basically ionized gas composed of unbound positive and negative

charges and is considered as the forth state of matter along with solid, liquid, and gas.

Although the charges are unbound, they have interactions with each other and when they

move they generate electric currents and magnetic fields, which govern their collective

behavior with many degrees of freedom and give properties to plasma unlike the other

states of matter. Plasma usually possesses equal positive and negative charge densities

and hence is electrically neutral. Moreover, it is electrically conductive and has a strong

response to electromagnetic fields. Plasma is the most abundant state of matter in the

universe and forms 99.9% of its visible mass, excluding the dark matter. All matter goes

to plasma state in temperatures exceeding 10000 K. Because of the unique properties of

plasma, it is used for different application, some of which are: lights, displays, thrusters,

spray coating, and material processing. Main plasma-assisted processes with material

processing application include: 1. Physical Vapor Deposition (PVD) processes, such as

Electron Beam Physical Vapor Deposition (EBPVD), Magnetron Sputtering, and Ion

Sputtering. 2. Chemical Vapor Deposition (CVD) processes, such as High Density

Plasma Chemical Vapor Deposition (HDPCVD) and Plasma Enhanced Chemical Vapor

Deposition (PECVD). 3. Plasma Etching, such as Microwave Plasma Etching and

Hydrogen Plasma Etching. 4. Plasma Cleaning. and 5. Plasma Torches used for welding

and cutting parts. Plasma processes, especially CVD processes, are essential to the

fabrication of microelectronics. Also, gold sputtering is often used to ground the sample

for Scanning Electron Microscope (SEM) imaging.

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2

Plasma is generated by the electric field directly or indirectly induced by an

electrode which leads to accelerating the free electrons pre-existing in the neutral gas,

making them drift and collide with the neutral atoms of the gas and ionize them. The

electrons freed from the neutral atoms of the gas through the process of ionization add to

the density of the plasma and lead to more ionizing collisions, through which the plasma

would be sustained. The increase in the number of electrons as they drift away from one

electrode to the other is known as Townsend Discharge or electron avalanche. After the

plasma is sustained in a high density, the interactive species, i.e. neutral radicals, ions,

and electrons will be delivered to the material being processed through drift, diffusion,

and Lorentz forces to add, remove, or modify it.

Industrial plasma for material processing has the following main characteristics:

1. Plasma Density, which is the number of electrons and ions per unit volume and

typically in the range of 1014 m-3 to 1021 m-3. 2. Electron and Ion Temperatures

(Energies). Higher electron temperatures than ion temperatures are usually desired in

material processing. Since electrons have higher energies than ions and the neutral gas in

material processing plasmas, these types of plasmas are called non-thermal and non-

equilibrium plasmas. 3. Excited Neutral Density, which is the main cause of plasma

glow. 4. Electric Potential, which is caused by the non-uniform distribution of charged

particles.

There are two general configurations for generating industrial plasmas:

Capacitively Coupled Plasma (CCP) and Inductively Coupled Plasma (ICP). CCPs are

the conventional plasma sources and consist of two electrodes in a parallel or coaxial

setup, in which plasma is initiated and sustained by an oscillating electric field in a region

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3

between the electrodes. ICPs consist of a planar or coaxial coil setup and generate the

plasma by electromagnetic induction, that is, by time-varying electromagnetic fields.

Higher plasma density can improve and accelerate material processing, however it

is not practical to reach such high density using the conventional plasma sources. Also, in

CCPs often the electrodes are in contact with the plasma and interact with it and can be

considered as a source of contamination and contribute to electron loss. Furthermore,

CCPs use higher gas pressure compared to ICPs. Thus, magnetically confined ICPs are

being used as an alternative plasma source to CCPs to eliminate these disadvantages.

ICP reactors are widely used for microelectronic device fabrication processes, i.e.

etching and deposition., as they deliver high plasma densities and can provide high fluxes

of ions and radicals onto the wafer surface with high selectivity (1-9). As opposed to

capacitively coupled plasmas (CCPs) that usually have low plasma densities (~ 109 cm-3)

at relatively high gas pressures (102 – 104 mTorr), ICPs can achieve higher plasma

densities (~ 1011 cm-3) even at low gas pressures (0.1 – 100 mTorr) (3-9). This capability

of ICP operating at low gas pressures is especially attractive, since the densities of

negative ions, which are believed to be precursors to dust particles, are low and hence the

dust particles generated would be less populous (10). In addition to efficient plasma

generation, ICPs have many other beneficial aspects, including a simple apparatus,

independent control over ion flux and ion energy, and scalability to large-area plasma

sources (1,2,4,11). These merits have made ICPs attractive for materials processing

(12,13).

In the recent decades, a lot of studies have been performed to investigate ICPs of various

conditions from different aspects, many of which were done by Kushner et al. who have

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4

developed and used their own hybrid modeling toolkit (14-29). Most of these studies

have considered flat coils with a spiral profile for ICP antenna. Flat spiral coils can

generate high-density plasma, most of which resides in a region near the dielectric

window under the coil. This feature of plasma distribution is caused by the non-uniform

power deposition from the induced azimuthal electromagnetic field that is maximum in

that region (10,30). This non-uniform and non-linear power deposition leads to a fairly

large fraction of the ICP chamber having inadequate plasma density (4,13). Another issue

with the flat coil is the capacitive coupling between the adjacent turns, which result in a

potential difference that leads to charge accumulation on and subsequent etching of the

surface of the dielectric window. Alternatively, cylindrical coils have been used as

induction antenna to generate plasma. In this case, surface charge and window etching

are reduced. However, the induced magnetic field spreads over a larger volume and

interacts with the metal chamber wall, leading to eddy current and energy loss.

In this work, a new 3D parallel antenna configuration was proposed to enable high-

density plasma with a more uniform plasma distribution, which is scalable for large-area

material processing. Computer simulation has been carried out using COMSOL

Multiphysics software to study and evaluate the performance of the proposed induction

coil configuration in comparison with a typical single cylindrical antenna, having the

same terminal inductance. Modeling and simulation were done in 3D Cartesian

coordinate system. The study focused on understanding the main plasma variables, i.e.

electron density, electron temperature, ion density, excited argon density, and electric

potential of the plasma. Moreover, histogram plots of the plasma variables were created

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5

to provide a conclusive comparison and to evaluate the overall performance of the

models.

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MATERIALS AND METHODS

The chamber considered for the ICP simulation had a cylindrical geometry, with

the inner diameter of 356 mm (about 14 inches) and height of 111 mm (4.4 inches

approximately). Consequently, the bulk argon gas contained inside the chamber had the

same dimensions. The chamber and hence the walls surrounding the plasma were

grounded (0 V). Also, the external boundaries of plasma in contact with the chamber

were magnetically insulated. Magnetic insulation boundary condition is one of the default

boundary conditions specified in the ICP module of COMSOL and applied to the outer

boundary of the ICP chamber modeled, which forces the normal component of the

magnetic field to be zero for the selected boundary; hence, the magnetic field becomes

tangential to the boundary and from the inductive perspective the boundary is assumed to

be a perfect electric conductor. The effect of using a Faraday shield to reduce the

capacitive coupling was included and thus the power deposition was to be purely

inductive. This has been reported to be the common approach for ICP simulations (31). It

is worthy to note that the shape of the ICP chamber was only used to determine the shape

of the argon gas contained inside of it and the chamber itself was not included in the

simulation model, as will be shown later in this section. All the boundary conditions

associated with the chamber were applied to the exterior boundary of the plasma instead.

Argon gas pressure of 20 mTorr was selected for both configurations to generate high-

density plasma with low negative ions. This gas pressure was higher than 10 mTorr,

which was associated with low Knudsen numbers (Kn < 0.2) necessary for fluid models

to yield valid results (32-34). Argon neutral gas temperature was set to 300 K. The

temperature of argon positive ions (Ar+) was set to a constant value of 1160 K (0.1 eV)

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7

with respect to the neutral gas temperature and pressure mentioned before. This

temperature corresponded to a typical literature value referred in (35). No gas inflow

and/or outflow existed for the system; therefore, the convective flux was assumed to be

zero.

The argon gas was contained in the chamber and separated from the coil by a disk-shaped

dielectric barrier made of quartz. This quartz window had a diameter equal to the inner

diameter of the chamber, which was the same as the diameter of the bulk argon gas inside

the chamber, and a thickness of 6 mm. The quartz had a relative permittivity of 4.2 and a

relative permeability of 1.

The induction coils were positioned in the midsection of the quartz window and sit

vertically on top of it. The copper wire used for both coils had a diameter of 3 mm. The

new coil configuration proposed in this work was a half-toroidal coil, with a total of 30

turns that included a parallel setup of two coils, each consisting of 15 turns. The two coils

in the half-toroidal configuration were connected at a common point on the top and

winded in such a way that the induced magnetic field formed a closed loop. The normal

projection of this coil covered an area of 178 mm (half of the diameter of the bulk argon

gas) in length and 56.8 mm in width and the coil itself had a height of 87.8 mm. The RF

inductive reactance of the coil at 13.56 MHz was estimated to be 253 Ω approximately.

The resistance of the coil was found to be about 1.6 Ω, which was quite small and trivial

relative to the inductive reactance and could be neglected. Hence, it could be safely

assumed that the impedance of the coil was equal to its inductive reactance, which was

253 Ω. A typical single cylindrical coil with the same impedance was then modeled to be

used as the reference for comparisons. The width of the coil was set to be equal to that of

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8

the half-toroidal coil to make it suitable for the comparisons. Thus, the normal projection

of this single cylindrical coil was 56.8 mm in diameter (length and width) and the coil

itself was found to be 30 mm tall and had a total of 7.5 turns with an inductance ~253 Ω

(same as the half-toroidal coil). Both coils were powered up by a sinusoidal RF current of

15 A, passing through the entirety of the coils. Figure 1 thru 3 show the configurations

for the half-toroidal and single cylindrical coils described.

Figure 1. Front, side, and bottom views of the half-toroidal coil.

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9

Figure 2. Front, side, and top view of the single cylindrical coil.

Figure 3. 3D view of single cylindrical and half-toroidal coils.

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10

Next, the air surrounding the coils was modeled by a cylinder of the same

diameter as the bulk argon gas inside the chamber and height of 104 mm and was located

on top of the quartz window. The air was considered to possess vacuum characteristics;

i.e. relative permittivity and relative permeability of 1 and zero conductivity. The final

simulation models are depicted in figure 4.

The ICP interface of COMSOL’s plasma module was used, implementing a

mixture-averaged fluid model for plasma simulation. The theories and the equations

involved in the simulation could be found in reference (1), with the main part covered in

the following section.

Figure 4. ICP simulation models with single cylindrical and half-toroidal antennas.

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11

Plasma Theory

Maxwell’s Equation for Electromagnetic Wave Propagation in Plasma:

𝛻× = 𝐽 + 𝜖0𝜖𝑟𝜕

𝜕𝑡= [𝜎(𝜔, 𝑛𝑒) + 𝑗𝜔𝜖0𝜖𝑟]E

E = 𝑗𝜔A E : Electric Field [𝑉 𝑚⁄ ] A : Magnetic Vector Potential [𝑊𝑏𝑚⁄ ]

𝜎(𝜔, 𝑛𝑒) = 𝐽𝑖 𝐽𝑖 : Density of Induced Current in Plasma [𝐴 𝑚2⁄ ]

𝑗𝜔𝜖0𝜖𝑟 = 𝐽𝑑 𝐽𝑑 : Displacement Current Density [𝐴 𝑚2⁄ ]

𝐽𝑃 = 𝐽𝑖 + 𝐽𝑑 𝐽𝑃 : Total Plasma Current Density [𝐴 𝑚2⁄ ]

Cold-plasma Approximation for Plasma Conductivity:

𝜎(𝜔, 𝑛𝑒) = 𝑒2 𝑛𝑒

𝑚𝑒(𝑣𝑒+𝜔𝑗)

𝜔 = 2𝜋𝑓 : RF Angular Frequency [𝑟𝑎𝑑/𝑠] 𝜎(𝜔, 𝑛𝑒) : Plasma Conductivity [𝑆 𝑚⁄ ]

𝜖0 : Vacuum Permittivity [𝐹 𝑚⁄ ] 𝑛𝑒 : Electron Number Density [1 𝑚3⁄ ]

𝜖𝑟 : Relative Permittivity of Argon 𝑚𝑒 : Electron Mass [𝑘𝑔]

𝑗 : Imaginary Number 𝑣𝑒 : Electron Collision Frequency [𝐻𝑧]

Plasma Motion Confinement: Lorentz Magnetic Force:

𝐹 = 𝑞𝑣 ×

𝑓 = 𝜌𝑣 × = 𝐽𝑃 ×

𝐹 : Lorentz Magnetic Force [𝑁] 𝑓 : Lorentz Force Density [𝑁 𝑚3⁄ ]

𝜌 : Charge Density [𝐶 𝑚3⁄ ] 𝑞 : Electron Electric Charge [𝐶]

𝐽𝑃 : Total Plasma Current Density [𝐴 𝑚2⁄ ] 𝑣 : Particle Velocity [𝑚 𝑠⁄ ]

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: Incident Magnetic Field [𝑇]

Plasma Generation and Distribution: Electron Transport Drift and Diffusion Equations:

𝜕

𝜕𝑡(𝑛𝑒) + 𝛻 ⋅ 𝛤𝑒 = 𝑅𝑒 𝛤𝑒 : Flux of Electrons Due to Electric Field and

Diffusion [1 𝑚2. 𝑠⁄ ]

𝑅𝑒 : Gain or Loss of Electrons Due to Reactions and Collisions [1 𝑚3. 𝑠⁄ ]

𝛤𝑒 = −(𝜇𝑒 )𝑛𝑒 − 𝛻(𝐷𝑒𝑛𝑒) 𝜇𝑒 : Reduced Electron Mobility [𝑚2 𝑉. 𝑠⁄ ]

𝐷𝑒 : Reduced Electron Diffusivity [ⅇ.𝑚2 𝑠⁄ ]

𝐷𝑒 = 𝜇𝑒𝑇𝑒 𝑇𝑒 : Electron Energy [𝑒𝑉]

𝑥𝑗 : Mole Fraction of Target Species for Reaction j

𝑅𝑒 = ∑ 𝑥𝑗𝑘𝑗𝑁𝑛

𝑚

𝑗=1𝑛𝑒 𝑘𝑗 : Rate Coefficient for Reaction j [𝑚3 (𝑚𝑜𝑙. 𝑠)⁄ ]

𝑁𝑛 : Total Neutral Number Density [1 𝑚3⁄ ]

𝑚 : Total Number of Reactions

Electron Energy Transport Equations:

𝜕

𝜕𝑡(𝑛𝜀) + 𝛻 ⋅ 𝛤𝜀 + ⋅ 𝛤𝑒 = 𝑅𝜀 + 𝑃𝑖𝑛 𝛤𝜀 : Flux of Electrons Energy Due to Electric

Field and Diffusion [𝑒𝑉 𝑚2. 𝑠⁄ ]

𝑅𝜀 : Gain or Loss of Electron Energy Due to Reactions and Collisions [𝑒𝑉 𝑚3. 𝑠⁄ ]

𝛤𝜀 = −(𝜇𝜀 )𝑛𝜀 − 𝛻(𝐷𝜀𝑛𝜀) 𝜇𝜀 : Reduced Electron Energy Mobility [𝑒.𝑚2 𝑠⁄ ]

𝑃𝑖𝑛 : Deposited Power Density in Plasma [𝑊 𝑚3⁄ ]

𝑃𝑖𝑛 = 0.5 𝐽𝑃 ∙ 𝐷𝜀 : Reduced Electron Energy Diffusivity [ⅇ.𝑊.𝑚2]

𝑇𝑒 : Electron Temperature [𝑒𝑉]

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13

𝜇𝜀 =5

3𝜇𝑒 𝑥𝑗 : Mole Fraction of Target Species for Collision j

𝑘𝑗 : Rate Coefficient for Collision j [𝑚3 (𝑚𝑜𝑙. 𝑠)⁄ ]

𝐷𝜀 = 𝜇𝜀𝑇𝑒 𝑁𝑛 : Total Neutral Number Density [1 𝑚3⁄ ]

∆𝜀𝑗 : Gain or Loss of Energy for Collision j [𝑒𝑉]

𝑅𝜀 = ∑ 𝑥𝑗𝑘𝑗𝑁𝑛

𝑝

𝑗=1𝑛𝑒∆𝜀𝑗 𝑝 : Total Number of Electron-Neutral Collisions

Electric Potential Calculation: Poisson’s Equation:

• Poisson’s Equation:

∇ ⋅ 𝐸 = ∇ ⋅ (∇𝑉) = ∇2𝑉 =𝜌

𝜀0𝜀𝑟⁄

• Space Charge Density:

𝜌 = 𝑞 [(∑ 𝑍𝑗𝑛𝑗

𝑁

j=1) − 𝑛𝑒]

Moreover, a simple argon chemistry was chosen, shown in table 1, which also

included the reactions with the excited state of argon (Ar(4s)).

Table 1. Collision processes included in the simulated argon discharge.

No Process Reaction Hj

(eV)

Rate

constants

1 Elastic collision Ar + e → Ar + e

kel

2 Ground-state excitation Ar + e → Ar* + e 11.56 kex

3 Ground-state ionization Ar + e → Ar+ + 2e 15.7 ki

4 Step-wise ionization Ar* + e → Ar+ + 2e 4.14 ksi

5 Super elastic collisions Ar* + e → Ar + e -11.56 ksc

𝑉 : Electric Potential [𝑉]

𝜌 : Space Charge Density [𝐶 𝑚3⁄ ]

𝑞 : Electron/Unit Electric Charge [𝐶]

𝑁 : Number of Different Charged Species

(Except Electrons)

𝑍𝑗 : Charge of Species j

𝑛𝑗 : Number Density of Species j [1 𝑚3⁄ ]

𝑛𝑒 : Number Density of Electrons [1 𝑚3⁄ ]

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The electron impact rate constants of reactions 1 thru 5 were calculated using the

electron cross-sections data imported from reference (36) and the equation in reference

(37), which was also described in equation (1) of reference (1). The electron energy

distribution function (EEDF) was directly involved in the calculations of rate constants

by appearing in the aforementioned equation. In this sense, it was imperative to have a

fairly accurate estimation of the governing EEDF to attain precise results from the

simulations. There are three different pre-existing models which could be used to

describe the EEDF in COMSOL: Maxwellian, Druyvesteyn, and Generalized. The

Maxwellian and Druyvesteyn models are special cases of the Generalized model. The

EEDF can also be computed using the Boltzmann two-term approximation. Each of the

three pre-existing models or the Boltzmann approximation can be appropriate to describe

the governing EEDF depending on different conditions of the ICP model. Out of these

conditions, the argon gas pressure is an important factor in determining how the EEDF

behaves and what the best model would be to describe it. In this work, the model

selection was based on the following literature review.

Hori et al. have used incoherent Thomson scattering method and shown that for

an argon pressure of 20 mTorr the Thomson scattered spectrum could be well fitted by a

straight line, which indicated that the spectrum was Gaussian and hence the EEDF was

Maxwellian (38). Furthermore, Brezmes and Breitkopf performed ICP simulations using

both Boltzmann and Maxwellian distributions and found that for ICP at pressures of 10

mTorr and higher, power deposition and the resulted plasma heating were mostly

collisional. They showed that, by including the effects of electron-electron collisions, the

Maxwellian simplification gave very similar results to those of Boltzmann distribution

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and in some cases, it seemed to even fit the experimental curve slightly better than the

Boltzmann distribution (1). Independent studies by different researchers also indicated

that a Maxwellian distribution of the electrons could be assumed for high ionization

degrees in ICPs (39-41). These findings led to the selection of the Maxwellian

distribution as the suitable model to describe the EEDF, given the conditions used in the

simulation.

A summary of the simulation assumptions and boundary conditions is presented below:

• Coil

− Material: Cu (Copper)

− Excitation Current: 𝐼 = 15 [𝐴]

− Excitation RF Frequency: 𝑓 = 13.56 𝑀𝐻𝑧

− Impedance: |z| = 253 Ω

• Coil Surroundings

− Material: Air

• Dielectric Barrier

− Material: Quartz (Glass)

• Plasma Gas

− Material: Argon (Ideal Gas)

− Temperature: Tg = 300 [K]

− Pressure: P = 20 [mTorr] = 0.02 [Torr] = 2.67 [Pa]

− Ion Temperature: Ti = 1160 [K]

− EEDF: Maxwellian

− Initial Electron Density: ne = 1E16 [1

m3]

− Initial Electron Temperature: Te = 4 [ⅇV]

• Chamber Walls

− Grounded Walls: V = 0 [V]

− Magnetic Insulation: Hn = 0 [

A

m]

• σ = 5.998E7 [S

m]

• ϵr = 1 • μr = 1

• σ = 1E-12 [S

m]

• ϵr = 4.2 • μr = 1

• σ = 0 [S

m]

• ϵr = 1 • μr = 1

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RESULTS AND DISCUSSION

Comparisons of five main variables of plasma were done for the two coil designs,

using 2D cross-section plots obtained at stabilization described in the next paragraph.

Figure 5 shows the cut-plane positioned at the middle section of the simulation models to

obtain these plots.

Furthermore, volume histograms were created to give an overall report of the intensity

and distribution of the plasma variables throughout the entire volume of the plasma in the

chamber. These main variables included: 1) electron density, 2) electron temperature, 3)

argon ion density, 4) excited argon density, and 5) electric potential.

Stabilization was determined to be reached by defining a criterion of the main

variables’ difference of less than 0.1% between two consecutive time steps. The overall

Figure 5. Cut-plane depicted in red, passing through the middle section of the simulation models

and used to plot the main plasma variables.

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minimum (number next to the down-arrow at the bottom of the colour legend) and

maximum (number next to the up-arrow at the top of the colour legend) of these variables

were determined for the two coil designs and then used to create plots with the same

colour legend ranges to allow meaningful comparisons of their intensities and

distributions. The total volume of the chamber was equal to 1.109E-2 m3. Results of these

comparisons are presented as follows.

Electron density

Figure 6 shows electron densities generated from the half-toroidal coil and cylindrical

coil designs. Detailed analysis of the volume histogram plot (figure 7) showed that the

Figure 6. Electron density cross-section plots for cylindrical and half toroidal coil designs.

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18

half-toroidal coil resulted in more than two times higher density plasma over the entire

volume of the chamber as compared to the cylindrical model, which had plasma density

of 0 to 4.59E17 m-3. The maximum electron density generated from the half-toroidal coil

appeared in between the two symmetrical coils. This was unexpected because the

maximum electron density in the traditional cylindrical coil would appear under the coil.

The possible reason was that the half-toroidal coil formed a closed magnetic field

centered between the two symmetrical coils in the chamber.

Figure 7. Electron density volume histogram plots for cylindrical and half-toroidal coil designs.

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Electron temperature

Figure 8 shows electron temperature distributions in the half-toroidal and single

cylindrical coil configurations. The electron energy distribution was more uniform in the

radial direction (across the chamber) for the half-toroidal coil as compared to the

cylindrical coil. On the other hand, the electron temperature appeared lower in the former

configuration than in the latter. These facts led to the assumption that the electromagnetic

field induced by the half-toroidal coil allowed energetic electrons to drift over a wider

range, while the cylindrical coil resulted in more localized energetic electrons. Further

study for determination and a better understanding of the electron trajectories is under

Figure 8. Electron temperature cross-section plots for cylindrical and half toroidal coil

designs.

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20

way.

Electron temperature volume histogram plots also supported the aforementioned

assumption. As illustrated in figure 9, the histogram plot for the half-toroidal model had a

highly-normalized shape around 2 eV (corresponding to the peak) as opposed to that of

the cylindrical model, which was shifted to the right (higher energy). An important

feature was that the width of the peak for the half-toroidal model was much narrower

than that of the cylindrical coil. The large and narrow peak at 2 eV for the half-toroidal

model indicated that a large fraction of the chamber volume had electrons with ~2 eV

energy and the electron energy variations was small, both of which were indicators of a

better and more uniform energy distribution among the electrons. On the other hand, the

Figure 9. Electron temperature volume histogram plots for cylindrical and half toroidal coil designs.

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electron energy varied over a wider range in the cylindrical model. These results implied

that the half-toroidal configuration had the potential to tune the electron energy to

activate specific gas species. This study opened a topic to understand why and how the

electron energy could be modulated in the half-toroidal model.

Argon ion density

Figure 10 shows the comparison of argon ion density at stabilization for the two

coil designs. Here again, the half-toroidal coil yielded much higher argon ion density

compared to the cylindrical coil. As expected, the ion densities in both cases were like the

Figure 10. Argon ion density cross-section plots for cylindrical and half toroidal coil designs.

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electron densities described before. The histogram plots of argon ion density (figure 11)

were also like that of the electron density.

Excited argon density

Excited gas species play a crucial role in plasma processing as well as in

sustaining the high-density plasma. Excited argon atoms require much less energy to be

ionized (e.g. stepwise ionization energy ~4.14 eV) in comparison with the neutral argon

atoms (ground-state ionization energy ~15.7 eV). As illustrated in figure 12, the half-

toroidal coil led to more uniform distribution and higher density of excited argon atoms

in both radial and normal directions as compared to the cylindrical model. For the half-

toroidal model, the hotspot of the excited argon atoms, which had the highest number

Figure 11. Argon ion density volume histogram plots for cylindrical and half-toroidal coil

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density, appeared to be shifted towards the coil and became bigger as well in comparison

to the cylindrical model. These characteristics could be readily explained by the higher

electron density created by the half-toroidal coil.

Figure 12. Excited argon density cross-section plots for cylindrical and half toroidal coil designs.

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Figure 13 illustrates the histogram of the number densities of excited argon atoms

in the half-toroidal and cylindrical models. As opposed to the half-toroidal configuration,

the cylindrical single coil configuration led to lower density of excited argon atoms over

the entire volume of the chamber as indicated by the huge peak at the beginning of the

plot.

Electric Potential

As illustrated in figure 14, the plasma in the half-toroidal model had lower electric

potential that was more uniformly distributed as compared to the cylindrical model. Since

Figure 13. Excited argon density volume histogram plots for cylindrical and half-toroidal coil

designs.

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25

the electric potential of the plasma was directly related to and influenced by the electron

temperature, the observed potential distribution could be explained by the electron

temperature distribution in these two models, as discussed in section 3.2.

The results mentioned above were confirmed by analyzing the histogram plots for

the two models, as depicted in figure 15. The electric potential in the half-toroidal model

had narrower distribution and the volume fractions with either low or high electric

Figure 14. Electric potential cross-section plots for cylindrical and half toroidal coil

designs.

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26

potential were lower, compared to those in the cylindrical model. The uniform potential

distribution could reduce plasma contamination due to etching of the dielectric window.

Furthermore, to have a quantitative comparison between the two models, average of main

plasma variables were obtained over the entire volume of the chamber at the last time

point and reported in Table 2.

Table 2. Average of main plasma variables over the entire chamber volume.

Coil Electron

Density

Electron

Temperature Ion Density

Excited Argon

Density

Electric

Potential

[1 𝑚3⁄ ] [𝑉] [1 𝑚3⁄ ] [1 𝑚3⁄ ] [𝑉]

Cylindrical 4.64E+16 2.2405 4.71E+16 1.89E+17 10.706

Half-toroidal 3.11E+17 1.9946 3.13E+17 4.92E+17 10.197

Figure 15. Electric potential volume histogram plots for cylindrical and half-toroidal

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27

CONCLUSION

In this work, a new parallel half-toroidal coil design was presented to address the

need for high-density ICPs with enhanced uniformity. Fluid simulations of 3D argon

plasma were carried out for the new coil configuration in comparison with a typical

cylindrical single coil of the same impedance. The half-toroidal configuration led to the

following improved plasma properties: 1) greatly increased electron and argon ion

densities, 2) lower and more uniform electron temperature and electric potential over the

entire plasma region, and 3) significantly increased excited argon density. These findings

showed the potential of using this new coil design for high-density ICP suitable for large-

area material processing. This research also opened several topics for further

understanding of the plasma properties, such as charged particle movement in the plasma.

The magnetic field flux plots for the two models leaded to the speculation that the more

horizontally-oriented magnetic field lines, which is the case for the new coil design,

might be the main reason for confining the movement of electrons through Lorentz force,

since the horizontal magnetic field lines were normal to the direction of electron

movement and created non-zero Lorentz forces, as opposed to the single cylindrical coil.

Figure 16. Magnetic field flux plots for cylindrical and half-toroidal coil designs.

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28

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