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Atmospheric Pressure Corona Discharge in Air
Introduction
This example presents a study of a coaxial DC corona discharge in dry air at atmospheric pressure. The dimensions and operation conditions are similar to the ones found in electrostatic precipitators with wire-to-plate configuration. The inner electrode has 100 μm radius and the gap between electrodes is 10 cm. The simulations presented are for steady-state regimes with the discharge sustained with 10 kV applied to the inner electrode while the exterior electrode is grounded. Emphasis is placed on the charged particles creation and transport and how that translates into the current-voltage characteristic of the discharge.
Model Definition
Figure 1 shows a cross section of the model geometry. The discharge is assumed to be diffuse and uniform in the radial direction. The model is one dimensional in the radial direction between the electrodes and describes the behavior of charged species using fluid-type equations. We assume that the gas temperature and air number density are constant. The gas temperature is kept at 600 K.
The model solves the electron and ions continuity and momentum equations, in the drift-diffusion approximation, self-consistently coupled with Poisson’s equation. The local field approximation is used, which means that transport and source coefficients are assumed to be well parameterized through the reduced electric field (E/N). In the local field approximation the fluid equation for the mean electron energy is not solved, which reduces significantly the complexity of the numerical problem.
The local field approximation is valid in a situation where the rate of electron energy gain from the electric field is locally balanced by the energy loss rate. When this condition is met the electrons are said to be in local equilibrium with the electric field and the electron mean properties can be expressed as a function the reduced electric field.
The model presented in the following section is used to simulate the ionization of the neutral gas as well as the flux of charged particles when the negative electric potential is applied at the inner conductor (cathode). The high electric field generated by the combination of high potential and small conductor curvature radius (inner conductor, ri) causes electron drift and ionization of the neutral gas surrounding the cathode. The resulting positive ions generate more electrons through secondary emission at the cathode surface. These electrons are accelerated through a small region away from the cathode, where they can acquire significant energy. This can lead to ionization which creates new electron–ion pairs. The secondary ions migrate toward the cathode where they eject more secondary electrons. This process is responsible for sustaining the discharge.
The model uses a Scharfetter–Gummel upwind scheme to eliminate numerical instabilities in the number density of the charged particles associated with the finite element method. This is needed, in particular close to the cathode, where the ion flux is particularly high.
Figure 1: Not-to-scale cross section of the coaxial configuration. The negative potential (-Vin) is applied at the inner conductor (cathode) and the outer electrode is grounded (anode). The shaded area represents the ionization region created by the positive space charge distribution generated in the vicinity of the cathode.
Domain Equations
Electron transport is modeled by solving the continuity equation and the momentum equation under the drift-diffusion approximation (for detailed information on electron transport, see Theory for the Drift Diffusion Interface in the Plasma Module User’s Guide)
The source coefficients in the above equations are determined by the plasma chemistry. The electron rate expression is defined as
where νe,j is the stoichiometric coefficient, and the reaction rate is defined as
where kjf is the forward rate constant and kjr is the reversed rate constant. Both the Electron Impact Reaction feature and Reaction feature can contribute to the electron rate expression. However, when using the Reaction feature it is important to note that the associated electron energy gain or loss is not included in the source term of the electron mean energy equation.
The rate constants can be computed from electron impact cross-section data
where γ = (2q/me)1/2 (SI unit: C1/2/kg1/2), me is the electron mass (SI unit: kg), ε is the electron energy (SI unit: V), σ is the electron impact collision cross section (SI unit: m2), and f is the electron energy distribution function.
When Townsend coefficients are used, the reaction rate is defined as
where αj/Nn is the reduced Townsend coefficient for reaction j (SI unit: m2) and Γe is the electron flux as defined above (SI unit: 1/(m2·s)). Townsend coefficients can increase the stability of the numerical scheme when the electron flux is field driven as is the case with DC discharges.
For heavy species, the following equation is solved for the mass fraction of each species (for detailed information on the transport of the nonelectron species, see Theory for the Heavy Species Transport Interface in the Plasma Module User’s Guide):
The electrostatic field is computed using the following equation:
The space charge density ρ is automatically computed based on the plasma chemistry specified in the model using the formula
For detailed information about electrostatics see Theory for the Electrostatics Interface in the Plasma Module User’s Guide.
Boundary Conditions
Electrons are lost to the wall due to random motion within a few mean free paths of the wall and gained due to secondary emission effects, resulting in the boundary condition for the electron flux
(1)
The second term on the right-hand side of Equation 1 is the gain of electrons due to secondary emission effects, γp being the secondary emission coefficient. For the heavy species, ions are lost to the wall due to surface reactions and the fact that the electric field is directed toward the wall:
(2)
The discharge is driven by a DC electric potential (V0) applied to the inner conductor of the coaxial geometry (at coordinate r = ri). The other boundary (at coordinate r = ro) is grounded. To facilitate the beginning of the numerical simulation a step function is used to modulate V0 with the transient applied potential assuming the form
(3).
This numeric technique does not interfere with the results at steady state, which are the ones of interest in this work.
Plasma Chemistry
The chemistry of a plasma sustained in air can be very complex and a detailed study of the main excited states could easily have hundreds of reactions. The main goal of this model is to study the charge particle density profiles and currents. With that in mind it is used a simplified set of reactions that describes correctly the creation and destruction of charged species in a background of dry air.
Table 1 lists the chemical reactions considered Ref. 2. In the fluid equations nitrogen and oxygen are not treated separately as in a detailed chemistry. Instead a general species A is used for the background gas. A can be ionized forming positive ions p, and A can attach electrons forming negative ions n.
The creation and destruction of electrons in the volume is described by ionization and attachment Townsend coefficients, and by rate constants for a three-body attachment and electron–ion recombination. The Townsend coefficients are obtained as a function of the mean electron energy by suitably averaging over the electron energy distribution computed using a Boltzmann solver with a consistent set of electron scattering collisions cross sections of nitrogen and oxygen Ref. 3. It is used a mixture of 80% nitrogen and 20% oxygen. The relation between the mean electron energy and the reduced electric field is also obtain from the Boltzmann solver and is given in Figure 2.
Figure 2: Mean electron energy as a function of the reduced electric field for a mixture of 80% nitrogen and 20% oxygen.
For detailed information on how to compute source coefficients from a Boltzmann solver see the section The Boltzmann Equation, Two-Term Approximation Interface in the Plasma Module User’s Guide.
Δε (eV)
kf (m3/s)
At steady state, the plasma main charged species are ions. For this reason, the initial conditions have an equal density of positive and negative ions and a small density of electrons. These initial conditions preserve charge neutrality as it is important for numerical reasons.
In addition to the volumetric reactions, the following surface reactions are implemented:
When the ions reach the wall, they are assumed to change back to neutral atoms. Note that the secondary emission coefficient for positive ions is set to 0.05 on the cathode boundary (at coordinate r = ri) and to 0 at the outer electrode (at coordinate r = ro). The mean electron energy of the secondary electron is set to 4 eV. When using the local field approximation the mean energy of the secondary electron is only used in postprocessing.
Results and Discussion
Throughout most of this section, results are presented and discussed for a DC negative corona sustained with 45 kV applied to the inner electrode. At the end, the current-voltage characteristic of the discharge are presented. The background gas is kept at a constant density as obtained by the ideal gas law at atmospheric pressure and at a temperature of 600 K. All results presented and discussed correspond to a steady state operation.
When comparing with corona discharges sustained in noble gases, air corona discharges need much higher voltage to breakdown the background gas and to sustain a discharge. There are two main reasons for this: (i) the electron collision frequency in air is higher (in part due to rotational and vibrational interactions) making it more difficult to accelerate electrons; and (ii) oxygen is electronegative.
Figure 3 presents the spatial profiles of the charged species. The discharge can be separated in two regions: (a) corresponding to a region of less than 1 mm near the cathode where most of the ionization occurs; and (b) the rest of the volume that reaches to the ground electrode.
The strongly negative potential at the inner electrode accelerates positive ions toward it and repeals negative charged particles. The result is a region of positive charge separation (region (a)) where strong electric fields exist and the electrons are accelerated to energies capable of ionizing the background gas. The electron temperature, the electric potential, and the reduced electric field are represented in Figure 4, Figure 5, and Figure 6. As can be seen, region (b) has weak electric field and consequent electron temperatures. In this region, electrons have not enough energy to ionize and are efficiently attached forming negative ions. The result is a long spatial portion of the discharge dominated by negative ions that drift toward the ground electrode. Note also that in region (b) the charge separation barely deforms the applied potential.
Figure 7, Figure 8, and Figure 9 are 2D representations (obtained by a revolution of the 1D solution) of the charged species number density. A representation of the charge distribution with distances in linear scale helps to build a more realistic image of this type of discharges. Notice how small the inner electrode and the ionization region are, and how most of the volume is filled with negative ions drifting in the directions of the anode. This observation does not mean that region (a) should be neglected. In fact, it is in region (a) that the mechanisms that sustain the discharge occur.
Comparing with corona discharges in noble gases, this type of corona discharges have a much higher resistivity because the charged particle number density is much lower, and ions, much less mobile than electrons, are the main charge carriers.
Figure 10 shows the absolute value of the total ion current at the ground electrode as a function of the absolute value of the applied voltage at the inner electrode. The current-voltage characteristic follows a quadratic law as expected. The obtained values of the current density are also coherent with the ones found in this type of discharges.
Figure 3: Spatial profiles of the charged species number density at steady state: electrons (blue), positive ions (green), and negative ions (red).
Figure 4: Spatial profile of the electron temperature.
Figure 5: Spatial profile of the electric potential.
Figure 6: Spatial profile of the reduced electric field.
Figure 7: 2D representation of the electron density (the scale is in log base 10).
Figure 8: 2D representation of the negative ion density (the scale is in log base 10).
Figure 9: 2D representation of the positive ion density (the scale is in log base 10).
Figure 10: Total ion current density (absolute value) at the ground electrode as a function of the applied voltage (absolute value) at the inner electrode.
References
1. M.A. Lieberman and A.J. Lichtenberg, Principles of Plasma Discharges and Materials Processing, John Wiley & Sons, 2005.
2. A.A. Kulikovsky, “Positive Streamer Between Parallel Plate Electrode in Atmospheric Pressure Air,” J. Phys. D: Appl. Phys., vol. 30, pp. 441–450, 1997.
3. Phelps database, www.lxcat.net, retrieved 2016.
Application Library path: Plasma_Module/Corona_Discharges/corona_discharge_air_1d
Modeling Instructions
From the File menu, choose New.
New
In the New window, click  Model Wizard.
Model Wizard
1
In the Model Wizard window, click  1D Axisymmetric.
2
In the Select Physics tree, select Plasma > Plasma (plas).
3
Click Add.
4
Click  Study.
5
In the Select Study tree, select General Studies > Time Dependent.
6
Geometry 1
Follow the steps below to create the model geometry: a simple 1D geometry consisting of a single domain bounded by the cathode (left, inner conductor) and the anode (right, outer conductor).
1
In the Model Builder window, under Component 1 (comp1) click Geometry 1.
2
In the Settings window for Geometry, locate the Units section.
3
From the Length unit list, choose cm.
Interval 1 (i1)
1
Right-click Component 1 (comp1) > Geometry 1 and choose Interval.
2
In the Settings window for Interval, locate the Interval section.
3
4
Click  Build All Objects.
Definitions
Variables 1
1
In the Model Builder window, under Component 1 (comp1) right-click Definitions and choose Variables.
2
In the Settings window for Variables, locate the Variables section.
3
Global Definitions
Parameters 1
1
In the Model Builder window, under Global Definitions click Parameters 1.
2
In the Settings window for Parameters, locate the Parameters section.
3
Plasma (plas)
1
In the Model Builder window, under Component 1 (comp1) click Plasma (plas).
2
In the Settings window for Plasma, locate the Vertical Height section.
3
In the dz text field, type 1[m].
4
Locate the Plasma Properties section. Select the Use reduced electron transport properties checkbox.
This model uses the local field approximation to parameterize in space source and transport coefficients.
5
From the Mean electron energy list, choose Local field approximation.
Solve this model using the finite volume method and a Scharfetter-Gummel scheme. You can switch from the finite element method to the finite volume method by suitable choices in the Discretization section.
6
Click to expand the Discretization section. From the Formulation list, choose Finite volume (constant shape function).
Electron Impact Reaction 1
1
In the Physics toolbar, click  Domains and choose Electron Impact Reaction.
Add an ionization reaction.
2
In the Settings window for Electron Impact Reaction, locate the Reaction Formula section.
3
In the Formula text field, type A+e=>p+2e.
4
Locate the Collision Type section. From the Collision type list, choose Ionization.
5
In the Δε text field, type 15.
Import the ionization Townsend coefficient.
6
Locate the Collision section. From the Specify reaction using list, choose Use lookup table.
7
Locate the Reaction Parameters section. From the Rate constant form list, choose Townsend coefficient.
8
Find the Townsend coefficient data subsection. Click  Load from File.
9
Electron Impact Reaction 2
1
In the Physics toolbar, click  Domains and choose Electron Impact Reaction.
Add an attachment reaction.
2
In the Settings window for Electron Impact Reaction, locate the Reaction Formula section.
3
In the Formula text field, type A+e=>n.
4
Locate the Collision Type section. From the Collision type list, choose Attachment.
Import the attachment Townsend coefficient.
5
Locate the Collision section. From the Specify reaction using list, choose Use lookup table.
6
Locate the Reaction Parameters section. From the Rate constant form list, choose Townsend coefficient.
7
Find the Townsend coefficient data subsection. Click  Load from File.
8
Electron Impact Reaction 3
1
In the Physics toolbar, click  Domains and choose Electron Impact Reaction.
Add a 3-body attachment reaction.
2
In the Settings window for Electron Impact Reaction, locate the Reaction Formula section.
3
In the Formula text field, type A + A + e => n + A.
4
Locate the Collision Type section. From the Collision type list, choose Attachment.
5
Locate the Reaction Parameters section. In the kf text field, type 1.4e-41*(0.026/plas.Te)*exp(100/t0-0.061/plas.Te)*N_A_const^2*0.1.
Reaction 1
1
In the Physics toolbar, click  Domains and choose Reaction.
Add electron-ion recombination.
2
In the Settings window for Reaction, locate the Reaction Formula section.
3
In the Formula text field, type e+p=>A.
4
Locate the Reaction Parameters section. In the kf text field, type rei*N_A_const.
Reaction 2
1
In the Physics toolbar, click  Domains and choose Reaction.
Add ion-ion recombination.
2
In the Settings window for Reaction, locate the Reaction Formula section.
3
In the Formula text field, type n+p=>A+A.
4
Locate the Reaction Parameters section. In the kf text field, type rnp*N_A_const.
Species: A
When solving any type of reacting flow problem one species must always be chosen to fulfill the mass constraint. This should be taken as the species with the largest mass fraction.
1
In the Model Builder window, click Species: A.
2
In the Settings window for Species, locate the Species Formula section.
3
Select the From mass constraint checkbox.
4
Locate the General Parameters section. From the Preset species data list, choose N2.
Species: p
1
In the Model Builder window, click Species: p.
2
In the Settings window for Species, locate the Species Formula section.
3
From the Species type list, choose Ion.
4
Locate the General Parameters section. From the Preset species data list, choose N2.
5
In the z text field, type 1.
6
In the n0 text field, type ni0.
7
Locate the Mobility and Diffusivity Expressions section. From the Specification list, choose Specify mobility, compute diffusivity.
8
Locate the Mobility Specification section. In the um text field, type muiN/plas.Nn.
Species: n
1
In the Model Builder window, click Species: n.
2
In the Settings window for Species, locate the Species Formula section.
3
From the Species type list, choose Ion.
4
Locate the General Parameters section. From the Preset species data list, choose N2.
5
In the z text field, type -1.
6
In the n0 text field, type ni0.
7
Locate the Mobility and Diffusivity Expressions section. From the Specification list, choose Specify mobility, compute diffusivity.
8
Locate the Mobility Specification section. In the um text field, type muiN/plas.Nn.
Surface Reaction 1
1
In the Physics toolbar, click  Boundaries and choose Surface Reaction.
Surface reactions must always be included in a plasma model because they describe how ions, excited, and radical species interact with the wall.Secondary emission of electrons is important to sustain a DC discharge. In this example, add a secondary emission coefficient on the left wall (cathode).
2
In the Settings window for Surface Reaction, locate the Reaction Formula section.
3
In the Formula text field, type p=>A.
4
5
Locate the Secondary Emission Parameters section. In the γi text field, type 0.05.
6
In the εi text field, type 4.
Surface Reaction 2
1
In the Physics toolbar, click  Boundaries and choose Surface Reaction.
2
In the Settings window for Surface Reaction, locate the Reaction Formula section.
3
In the Formula text field, type p=>A.
4
Surface Reaction 3
1
In the Physics toolbar, click  Boundaries and choose Surface Reaction.
2
In the Settings window for Surface Reaction, locate the Reaction Formula section.
3
In the Formula text field, type n=>A.
4
Locate the Boundary Selection section. From the Selection list, choose All boundaries.
Plasma Model 1
Set up the background gas information, the electron mobility and import the table that gives the relation between the mean electron energy and the reduced electric field.
1
In the Model Builder window, click Plasma Model 1.
2
In the Settings window for Plasma Model, locate the Model Inputs section.
3
In the T text field, type t0.
4
In the pA text field, type p0.
5
Locate the Electron Density and Energy section. In the μeNn text field, type mueN.
6
Locate the Mean Electron Energy Specification section. From the Specify using list, choose Use lookup table.
7
Find the Mean electron energy subsection. Click  Load from File.
8
Initial Values 1
1
In the Model Builder window, click Initial Values 1.
2
In the Settings window for Initial Values, locate the Initial Values section.
3
In the ne,0 text field, type ne0.
Ground 1
1
In the Physics toolbar, click  Boundaries and choose Ground.
2
Metal Contact 1
1
In the Physics toolbar, click  Boundaries and choose Metal Contact.
2
3
In the Settings window for Metal Contact, locate the Terminal section.
4
In the V0 text field, type Vapp.
Wall 1
1
In the Physics toolbar, click  Boundaries and choose Wall.
2
In the Settings window for Wall, locate the Boundary Selection section.
3
From the Selection list, choose All boundaries.
Mesh 1
Meshing is a critical step in any plasma model. A fine mesh is needed close to the electrodes to capture the separation of space charge between the electrons and ions close to the wall.
Edge 1
In the Mesh toolbar, click  Edge.
Distribution 1
1
Right-click Edge 1 and choose Distribution.
2
In the Settings window for Distribution, locate the Distribution section.
3
From the Distribution type list, choose Predefined.
4
In the Number of elements text field, type 200.
5
In the Element ratio text field, type 100.
6
From the Growth rate list, choose Exponential.
7
Select the Symmetric distribution checkbox.
8
Click  Build All.
Study 1
Step 1: Time Dependent
1
In the Model Builder window, under Study 1 click Step 1: Time Dependent.
2
In the Settings window for Time Dependent, locate the Study Settings section.
3
In the Output times text field, type 0 10^{range(-8,8/49,0)}.
4
Click to expand the Results While Solving section. Select the Plot checkbox.
Solution 1 (sol1)
1
In the Study toolbar, click  Show Default Solver.
2
In the Model Builder window, expand the Solution 1 (sol1) node.
Set the Jacobian update to minimal to decrease the computational time.
3
In the Model Builder window, expand the Study 1 > Solver Configurations > Solution 1 (sol1) > Time-Dependent Solver 1 node, then click Fully Coupled 1.
4
In the Settings window for Fully Coupled, click to expand the Method and Termination section.
5
From the Jacobian update list, choose Minimal.
Get the initial values to generate the default plots and then set them up to show the electron and ion densities while the solver runs.
6
In the Study toolbar, click  Get Initial Value.
Results
Electron and Ion Number Density
1
In the Settings window for 1D Plot Group, type Electron and Ion Number Density in the Label text field.
2
Click to expand the Title section. From the Title type list, choose Label.
3
Locate the Data section. From the Time selection list, choose Last.
4
Locate the Plot Settings section. Select the x-axis label checkbox.
5
Select the y-axis label checkbox. In the associated text field, type Number density (1/m<sup>3</sup>).
6
Locate the Axis section. Select the Manual axis limits checkbox.
7
In the x minimum text field, type 0.009.
8
In the x maximum text field, type 11.
9
In the y minimum text field, type 1e9.
10
In the y maximum text field, type 1e17.
11
Select the x-axis log scale checkbox.
12
Select the y-axis log scale checkbox.
Electrons
1
In the Model Builder window, expand the Electron and Ion Number Density node, then click Line Graph 1.
2
In the Settings window for Line Graph, type Electrons in the Label text field.
3
Click to expand the Legends section. Select the Show legends checkbox.
4
Find the Include subsection. Clear the Solution checkbox.
5
Select the Label checkbox.
6
Click to expand the Quality section. From the Evaluation settings list, choose Manual.
7
From the Resolution list, choose No refinement.
Positive ions
1
Right-click Electrons and choose Duplicate.
2
In the Settings window for Line Graph, type Positive ions in the Label text field.
3
Locate the y-Axis Data section. In the Expression text field, type plas.n_wp.
Negative ions
1
Right-click Positive ions and choose Duplicate.
2
In the Settings window for Line Graph, type Negative ions in the Label text field.
3
Locate the y-Axis Data section. In the Expression text field, type plas.n_wn.
Electron Temperature (plas)
1
In the Model Builder window, under Results click Electron Temperature (plas).
2
In the Settings window for 1D Plot Group, locate the Data section.
3
From the Time selection list, choose Last.
4
Locate the Title section. From the Title type list, choose Label.
5
Locate the Axis section. Select the x-axis log scale checkbox.
Electric Potential (plas)
1
In the Model Builder window, click Electric Potential (plas).
2
In the Settings window for 1D Plot Group, locate the Data section.
3
From the Time selection list, choose Last.
4
Locate the Title section. From the Title type list, choose Label.
Electron and Ion Number Density
In the Home toolbar, click  Compute.
Reduced Electric Field
1
Right-click Electric Potential (plas) and choose Duplicate.
2
In the Settings window for 1D Plot Group, type Reduced Electric Field in the Label text field.
3
Locate the Axis section. Select the x-axis log scale checkbox.
Line Graph 1
1
In the Model Builder window, expand the Reduced Electric Field node, then click Line Graph 1.
2
In the Settings window for Line Graph, locate the y-Axis Data section.
3
In the Expression text field, type plas.Erd.
4
From the Unit list, choose Td.
5
In the Reduced Electric Field toolbar, click  Plot.
Revolution 1D 1
In the Results toolbar, click  More Datasets and choose Revolution 1D.
Log of Electron Density
1
In the Results toolbar, click  2D Plot Group.
2
In the Settings window for 2D Plot Group, type Log of Electron Density in the Label text field.
3
Click to expand the Title section. From the Title type list, choose Label.
Surface 1
1
Right-click Log of Electron Density and choose Surface.
2
In the Settings window for Surface, locate the Expression section.
3
In the Expression text field, type log10(plas.ne).
4
In the Log of Electron Density toolbar, click  Plot.
Log of Negative Ion Density
1
In the Model Builder window, right-click Log of Electron Density and choose Duplicate.
2
In the Settings window for 2D Plot Group, type Log of Negative Ion Density in the Label text field.
3
Click to expand the Title section. From the Title type list, choose Label.
Surface 1
1
In the Model Builder window, expand the Log of Negative Ion Density node, then click Surface 1.
2
In the Settings window for Surface, locate the Expression section.
3
In the Expression text field, type log10(plas.n_wn).
4
In the Log of Negative Ion Density toolbar, click  Plot.
Log of Positive Ion Density
1
In the Model Builder window, right-click Log of Negative Ion Density and choose Duplicate.
2
In the Settings window for 2D Plot Group, type Log of Positive Ion Density in the Label text field.
3
Click to expand the Title section. From the Title type list, choose Label.
Surface 1
1
In the Model Builder window, expand the Log of Positive Ion Density node, then click Surface 1.
2
In the Settings window for Surface, locate the Expression section.
3
In the Expression text field, type log10(plas.n_wp).
4
In the Log of Positive Ion Density toolbar, click  Plot.
Study 1
Prepare a parameterization of the applied voltage.
1
In the Model Builder window, click Study 1.
2
In the Settings window for Study, locate the Study Settings section.
3
Clear the Generate default plots checkbox.
4
Clear the Generate convergence plots checkbox.
Parametric Sweep
1
In the Study toolbar, click  Parametric Sweep.
2
In the Settings window for Parametric Sweep, locate the Study Settings section.
3
4
Step 1: Time Dependent
1
In the Model Builder window, click Step 1: Time Dependent.
2
In the Settings window for Time Dependent, locate the Results While Solving section.
3
Clear the Plot checkbox.
Parametric Sweep
In the Study toolbar, click  Compute.
Results
Current Vs. Voltage
1
In the Results toolbar, click  1D Plot Group.
2
In the Settings window for 1D Plot Group, locate the Data section.
3
From the Dataset list, choose Study 1/Parametric Solutions 1 (sol2).
4
From the Time selection list, choose Last.
5
In the Label text field, type Current Vs. Voltage.
6
Locate the Title section. From the Title type list, choose None.
Point Graph 1
1
Right-click Current Vs. Voltage and choose Point Graph.
2
3
In the Settings window for Point Graph, click Replace Expression in the upper-right corner of the y-Axis Data section. From the menu, choose Component 1 (comp1) > Plasma > Current > plas.nJt - Total ion current density on wall - A/m².
4
Locate the y-Axis Data section. In the Expression text field, type abs(plas.nJt).
5
In the Unit field, type mA/m^2.
6
Select the Description checkbox.
7
Locate the x-Axis Data section. From the Axis source data list, choose V0.
8
From the Parameter list, choose Expression.
9
In the Expression text field, type V0.
10
From the Unit list, choose kV.
11
Select the Description checkbox. In the associated text field, type Applied Voltage.
Current Vs. Voltage
1
In the Model Builder window, click Current Vs. Voltage.
2
In the Settings window for 1D Plot Group, locate the Plot Settings section.
3
Select the y-axis label checkbox. In the associated text field, type Total Ion Current Density (mA/m<sup>2</sup>).
4
In the Current Vs. Voltage toolbar, click  Plot.