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Three-Dimensional RF Magnetron Plasma

Chapter 5. Applications to Realistic Problems

5.3 Simulation on Magnetron Plasma

5.3.2 Three-Dimensional RF Magnetron Plasma

In this studying case, we use the same computational domain and permanent magnet system as shown in the previous subsection. The radio-frequency is 13.56MHz,V is rf 300 Volts. The electron timestep is

s f te

2000 10 1

695 .

3 × 11 =

=

and the number of

sub-cycling is 10. Initial ion temperature is 232 K and initial electron temperature is 0.5 eV. In this work, we still examine the effects of magnetization M and secondary electron emission coefficient γ on the discharge structure. Three cases are presented:

(1.) M=0.125T, γ=0., (2) M=0.125T, γ=0.06, and (3) M=0.25T, γ=0.06.

Fig. 5.35 Shows the potential distributions of these three cases, which illustrates that

the plasma potential is nearly constant and positive (≈0.5Vrf ) and axisymmetric sheaths are formed near the powered and grounded electrodes. As M orγincreases, the thickness of cathode sheath between N and S poles decreases. The electron and ion number densities of these three cases are shown in Fig. 5.36-5.38. Both show that the most of electrons and ions are confined between N and S poles, which also show the axisymmetrical electron and ion number densities distributions. As M orγ increases, both the electron and ion number densities increase. The electron and ion energies of these three cases are shown in Fig. 5.39-5.41. They show that the mean electron energy in the bulk region is 5~9eV. The electron energy is larger at the region between bulk and cathode sheath, where is located between N and S poles. This is

because electrons are strongly magnetized and exhibit E×B drift motion. The mean ion energy can be accelerated to 50eV by the strong electric field in the two sheath regions and ions are hardly magnetized due to their heavy mass.

5.4 Some Remarks

In this chapter, our developed parallel 3D PIC-FEM code has performed its superior capability in dealing with the 3D field emission display and 3D low-temperature plasma sources since their corresponding results agree with the previous experimental or numerical studies. Some important simulation results are summarized as follows:

1. In simulating the 3D FED without considering the space-charge effect, we use a triode-type CNT-based emitter without a focusing electrode as the studying case.

The primarily results are: The first is the spreading angle of electrons from the tip increases with the increasing gate voltage. The second is the emission current increases dramatically with the given CNT height. The third is a magnetic focusing design can optimally suppress the electron beam dispersion under a well-controlled magnetic field and the emission current to anode will not decrease by using this magnetic focusing method. The second studying case for considering the space-charge effect is simulation on the silicon field emission diode. The

primarily result shows that simulated I-V curve agrees with the experimental work, especially when simulation work function is set to 4.5eV.

2. In simulating 3D DC and RF gas discharge plasmas, the spatial distributions of plasma macroparameters are presented. The results show that sheath does play an important role in sustaining plasma, which providing the field to accelerate the particles. Due to the 3D geometric shape of electrodes, there is a very strong electric field existing around the edges of electrodes. In other words, this field may lead to unexpected ion bombardment.

3. In simulating 3D DC and RF magnetron plasmas, the spatial distributions of plasma macroparameters are presented. The concentric cylindrical magnets with different magnetization are solved in advance, and the results that magnetic field is proportional to magnetization. With these magnetic fields, electrons are confined between N and S poles and exhibit the E×B drift motion, which leads to high ionization rate in plasma under very low gas pressure. The results also show that as M or γincreases, the plasma density increases.

Chapter 6

Concluding Remarks

6.1 Summary

In this dissertation, a general parallel three-dimensional electrostatic particle-in-cell scheme with finite element method (PIC-FEM) using unstructured mesh is proposed and verified. A multi-level graph-partitioning technique is used to dynamically decompose the computational domain to improve the parallel performance during runtime. Completed parallelized PIC-FEM code is used to simulate several important physical problems, including field emission, DC/RF gas discharge and DC/RF magnetron plasmas. In brief summary, the major achievements in the present dissertation can be listed as follows:

1. A parallelized three-dimensional electrostatic Poisson’s equation solver using Galerkin finite element method with an unstructured mesh is developed and validated. Study of parallel performance of the parallelized PIC-FEM code is performed on the HP-IA64 clusters. With subdomain-by-subdomain scheme for parallel conjugate gradient method, parallel efficiency can reach 84% at 32 processors of HP PC clusters at NCHC. This code coupled with PAMR was used to accurately and efficiently simulate field emission from emitter with complicated geometry without considering space-charge effects, as demonstrated in Chapter 5.

2. A parallelized three-dimensional vector potential magnetostatic Poisson’s equation solver using Galerkin finite element method with an unstructured mesh is developed and validated. Study of parallel performance of the parallelized

PIC-FEM code is performed on the HP-IA64 clusters. With subdomain-by-subdomain scheme for parallel conjugate gradient method, parallel efficiency can reach 75% at 32 processors of HP PC clusters at NCHC.

This code was used to simulate the magnetic field around permanent magnets or coils for magnetron plasma simulation as demonstrated in Chapter 5.

3. A general parallelized three-dimensional PIC-FEM code is developed and validated. This PIC-FEM code integrates the parallelized Poisson’s equation solver with the PIC and Monte Carlo collision (MCC) schemes on an unstructured tetrahedral mesh. Charged particles can be traced either cell-by-cell on an unstructured mesh. This is achieved using leap-frog time-integration method and Boris rotational scheme when magnetic field is involved. Charge assignment and force (field) interpolation between charged particles and grid points is implemented using the same interpolation function originated from the FEM. In addition, dynamic domain decomposition (DDD) with weighting based on number of particles is used to balance the workload among processors during runtime. Study of parallel performance of the parallelized PIC-FEM code is performed on the HP-IA64 clusters. Results using DDD for a typical RF gas discharge show that parallel efficiency can reach 83% at 32 processors.

4. Completed parallelized PIC-FEM code was used to simulate several important problems to demonstrate its superior capability in handling practical problems.

These problems include field emission from a silicon tip under external electric field, two typical three-dimensional DC and RF gas-discharge plasmas, and two typical three-dimensional DC and RF magnetron plasmas with permanent magnets. Results are either compared well with experiments or demonstrate the correct physical pictures as expected.

6.2 Recommendation for Future Study

In the present dissertation, we have developed and tested a parallelized three-dimensional PIC-FEM code using an unstructured mesh on memory-distributed parallel machines. We have also applied this code to simulate several important physical problems. Based on the viewpoints of further improving this PIC-FEM code, several possible directions of research are recommended for the future study and are summarized as follows:

1. To implement a better preconditioner for parallel conjugate gradient method for solving the Poisson’s equation more efficiently to shorten the runtime and improve the speedup at higher number of processors.

2. To incorporate a Maxwell’s equation solver that uses edge-based finite element method into the present PIC-FEM code to further extend its applicability in plasma related simulation, such as ICP, ECR and microwave plasmas.

3. To incorporate a simulation module that can model realistic external circuits into the present PIC-FEM code, which are often coupled to a RF-type gas discharge.

4. To extend the database of collision data for other types of plasma, such as methane with hydrogen, which are very important in growing carbon nanotubes.

5. To incorporate a parallelized DSMC (direct simulation Monte Carlo) module into the PIC-FEM code to consider the neutral transport self-consistently that is

very important in some plasma flow, such as magnetron plasma.

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