Modeling and optimization of the multichannel spark discharge
Zhang Zhi-Bo1, Wu Yun1, 2, †, Jia Min1, Song Hui-Min1, Sun Zheng-Zhong3, Li Ying-Hong1
Science and Technology on Plasma Dynamics Laboratory, Air Force Engineering University, Xi’an 710038, China
Science and Technology on Plasma Dynamics Laboratory, Xi’an Jiaotong University, Xi’an 710049, China
Department of Mechanical Engineering and Aeronautics, City University London, London, United Kingdom

 

† Corresponding author. E-mail: wuyun1223@126.com

Abstract

This paper reports a novel analytic model of this multichannel spark discharge, considering the delay time in the breakdown process, the electric transforming of the discharge channel from a capacitor to a resistor induced by the air breakdown, and the varying plasma resistance in the discharge process. The good agreement between the experimental and the simulated results validated the accuracy of this model. Based on this model, the influence of the circuit parameters on the maximum discharge channel number (MDCN) is investigated. Both the input voltage amplitude and the breakdown voltage threshold of each discharge channel play a critical role. With the increase of the input voltage and the decrease of the breakdown voltage, the MCDN increases almost linearly. With the increase of the discharge capacitance, the MDCN first rises and then remains almost constant. With the increase of the circuit inductance, the MDCN increases slowly but decreases quickly when the inductance increases over a certain value. There is an optimal value of the capacitor connected to the discharge channel corresponding to the MDCN. Finally, based on these results, to shorten the discharge time, a modified multichannel discharge circuit is developed and validated by the experiment. With only 6-kV input voltage, 31-channels discharge is achieved. The breakdown voltage of each electrode gap is larger than 3 kV. The modified discharge circuit is certain to be widely used in the PSJA flow control field.

1. Introduction

As a promising active flow control method, the plasma flow control is an emerging research hotspot. The wide and promising prospect of this technology has been validated in many flow control fields, such as the separation control, jet boundary-layer transition control, high-speed jet control, noise mitigation.[16] Like the traditional surface dielectric barrier discharge actuators (SDBD), the plasma synthetic jet actuator (PSJA) has the advantage of the lack of moving parts. Moreover, the PSJA can produce a high-speed pulsed jet. The characteristic drives the PSJA to be applied in the high-speed flow control field successfully, such as shock-wave/boundary-layer interaction control,[7,8] shock-wave manipulation, and so on.[9,10]

The low efficiency of the PSJA has been validated by many experiment and simulation results.[1114] Increasing the distance of the discharge region can improve the efficiency. But the distance is restricted by the input voltage. What is more, the PSJA actuator is different from the SDBD actuator,[15] which can be used to meter scale. The orifice of the PSJA is only in the order of millimeters,[16,17] which is far less than the region of the flow field needed to be affected. To solve these two problems, the PSJA array is necessary in the practical application. Based on a pulsed DC discharge circuit, the team of Clemens used a PSJA array to control the shock/boundary-layer interaction.[7,10] The PSJA array consisted of only 3 PSJAs, which was far from the number needed in the practical application. Owing to the large current-limiting resistor in the discharge circuit, most of the energy is wasted by the circuit resistor. Therefore, this circuit is not efficient to drive the PSJA array. However, different from the barrier discharge,[18,19] the resistance characteristic of the arc discharge channel is negative. As a result, it is difficult to drive the PSJA in serials by a power supply. As a result, several power supplies are needed to drive the actuator array, which is apparently not feasible in practice. Tie et al. proposed a six channel spark discharge method.[20] However, the necessary condition of very high trigger voltage (40 kV) and short rise time (25 ns) increases the technical requirements for the power supply.

To solve this problem, a special multichannel discharge circuit is developed by us, which can drive the multichannel discharge using only one supply circuit.[21] No extra resistor is necessary in this circuit. However, the electric characteristics of this circuit are not clear currently. The relationship between the circuit parameters and the maximum discharge channel number (MDCN) has not been uncovered. How to choose the circuit parameters lacks guiding theory.

In this paper, an electric model on this multichannel discharge circuit is put forward, which is validated by experimental data. Using this model, the influence of the circuit parameters on the MDCN is investigated. Based on the influence rules, an optimization of the multichannel discharge circuit is obtained and validated by the experiment.

2. The model of the multichannel discharge circuit
2.1. The multichannel discharge circuit

To achieve the multichannel discharge, a principle circuit is designed, which is shown in Fig. 1. The discharge frequency can be adjusted by changing the current limiting resistor . The inductance L represents the wire inductance. The inductance R represents the wire resistance and the equivalent series resistance of the capacitor C. The discharge energy is controlled by the capacitor C and the breakdown voltage of the first electrode couple (EC) EC . The relay capacitor, , , …, , and the resistor, , , …, are used to relay the high voltage and ensure the multichannel discharge.

Fig. 1. The multichannel discharge circuit diagram.
2.2. Model establishment
2.2.1. Basic assumptions

To establish this simulation model, some assumptions must be made.

The electrode couple is seen as a capacitor before breakdown and a variable resistor after breakdown. The variable resistance is calculated based on an improved Mayr-type arc model developed by Pieter H. Schavemaker.[22]

The breakdown voltage amplitude of the electrode couple is not fixed. The distribution satisfies the normal assumption.

The breakdown delay time is not fixed. The distribution satisfies the normal assumption. The mean breakdown delay time is calculated using an empirical formula.[23]

When the breakdown of electrode couple EC does not happen, the current in the next electrode couple is ignored.

2.2.2. The main submodels

To simulate the multichannel discharge process, there are three main submodels. The first submodel is used to decide whether or not the breakdown of one electrode couple happens. When the breakdown happens, the electrode couple transforms from a capacitor to a variable resistor. The second submodel is used to calculate the voltage–current characteristic of the variable resistor. The last submodel is used to decide whether or not the spark channel between the electrode couple terminates.

The breakdown process is a complex process. The breakdown of one electrode couple is a random process. Even in the same condition, it is not definite whether or not the breakdown of one electrode couple happens. In this submodel, the criteria are defined as follows:

The voltage amplitude across the electrode couple must increase to a threshold value. The distribution of the threshold values in different times meets the normal assumption. The mean value is calculated by Eq. (1). p represents the pressure, which is in bars; d is the distance between the electrode couple, which is in centimeters. The standard deviation of the normal distribution stands for the disturbance level.

The above condition must remain for a certain time, which is called the breakdown delay time. The distribution of the breakdown delay time values in different times meets the normal assumption. The mean value is calculated by an empirical formula, as Eq. (2). is the air density in units g/cm . E is the average electric field in units kV/cm.

The voltage–current characteristic of the variable resistor is calculated based on an improved Mayr-type arc model developed by Schavemaker. The arc model is described by the following equation. g is the arc conductance; U is the arc voltage; I is the arc current; is time constant; is the cooling power; is the cooling power affected by the heating power; is the constant arc voltage in the high current area.

After breakdown, the arc conductance changes with the arc current and arc voltage. In this simulation model, when the arc conductance decreases to a threshold value, the discharge channel between the electrode couple is supposed to disappear.

2.2.3. The differential equations of the multichannel discharge circuit

Based on the above assumptions, after the breakdown of the electrode couple EC , the discharge circuit diagram can been simplified, as shown in Fig. 2.

Fig. 2. The simplified circuit diagram after the breakdown of EC .

The differential equations of the above circuit are shown in Eq. (4). In these equations, means the voltage across the capacitor . For example, is the voltage across the capacitor . The means the current flowing through the electrode couple EC . The represents the arc conductance of the electrode couple EC . The stands for the equivalent capacitance of the electrode couple, which is supposed as 1 pF. The means the capacitance of the capacitor . The is the resistance of the resistor . Owing to the same value, for convenient calculation, these capacitors and resistors are not distinguished in these equations.

When the breakdown of the electrode couple EC happens, the circuit diagram cannot be described as Fig. 2. The corresponding diagram is shown in Fig. 3. The corresponding differential equations change as well, which are expressed in Eq. (5).

Fig. 3. The simplified circuit diagram after the breakdown of EC .

When the breakdown of the electrode couple EC happens, a complete discharge circuit is built, which is shown in the following Fig. 4.

Fig. 4. The simplified circuit diagram after the breakdown of EC .
2.2.4. The simulation procedure

Based on the above submodels and differential equations, the multichannel discharge process can be simulated. The simulation flow chart is shown in Fig. 5. In this figure, A represents the state parameters of the circuit, which are calculated by solving the above differential equations. The simulation begins with the breakdown of the first electrode couple. If any of the arc channel terminates, the simulation stops and outputs the calculation results. If breakdown happens in all electrode couples, it means the multichannel discharge circuit works properly. Otherwise, it means the multichannel discharge circuit fails to achieve multichannel discharge.

Fig. 5. The simulation flow chart.
2.3. Model validation

To validate the simulation model, an experiment system is built, as shown in Fig. 6.

Fig. 6. (color online) Experiment system.

To improve the accuracy of the experimental data, the discharge electrodes are made of two stainless steel spheres. The diameter of the sphere is up to 25 mm, larger than the electrode couple distance. The two steel spheres are fixed on two micro positioning systems (sensitivity 1 μm), respectively. The voltage and the current are measured by a high-voltage probe (Tektronix, P6015) and a current probe (Pearson, 6600), respectively. An oscilloscope (Tektronix, DPO4014) is used to display and record the data. In this experiment, the capacitor C is 1 nF, the inductance is 1.63 μH, the total value of wire resistance and equivalent series capacitor resistance is 1.89 Ω. The values of capacitance and resistance are obtained by an impedance analyzer (Agilent 4285A).

When the distance of EC and EC are set to be 0 mm, this discharge circuit is the traditional one-channel discharge circuit. Based on the measured current of the one-channel discharge circuit, these parameters of Schavemaker arc model are determined from the least squares fit: s, W, = 0.39, and V. As shown in Fig. 7, the simulation result shows a good agreement with the experiment result.

Fig. 7. (color online) The measured and simulated current waveforms.

Based on these parameters, a three-channel discharge circuit is simulated. The measured and simulated results are shown in Fig. 8. The simulated current waveform shows a good agreement with the experimental current waveform. After the breakdown of the first electrode couple, EC , the gap transforms from a capacitor to a resistor, and the capacitor begins to be charged. Then the current in the circuit increases. At about 132 ns, the breakdown of the last electrode couple happens, all arc channels connected with each other by wire directly. At this time, the current increases greatly. The simulated voltage waveform is similar with the experimental voltage waveform, except for the great oscillation after breakdown. At about 61 ns, the breakdown of the second electrode couple happens, the electric characteristic of the electrode couple EC began to change from a capacitor to a resistor. Then the voltage across the capacitor increases. In total, the simulation model can catch the characteristics of the multichannel discharge circuit.

Fig. 8. (color online) The measured and simulated results: (a) current waveform and (b) voltage waveform.
3. Results and discussion

This novel multichannel discharge circuit can multiply the discharge channel. Based on this method, the region affected by the plasma actuators can be enlarged. To further understand this circuit, the characteristics of this circuit must be investigated.

3.1. The working mechanism of the multichannel discharge circuit

Owing to the negative current–voltage (IV) characteristic of the spark discharge, as previously reported,[24] the array of discharge can be only generated by using a distributed resistive ballast previously, where each spark discharge is individual ballast. However, in this special circuit, an array of discharge is generated without resistance ballast. Based on this model, the working mechanism of this circuit can be revealed in detail.

In a 5-channels discharge circuit, the voltage across C, , , , and is plotted in Fig. 9. To show the impedance change induced by breakdown, the voltage across EC ( and discharge current are plotted in Fig. 10. After the breakdown of the first electrode couple, the voltage across the capacitor increases quickly. However, with the increase of , the voltage across the capacitor C remains at almost 0 V until the breakdown of EC . In other words, the is the same as until the breakdown of EC happens. Also, the impedance of relay capacitor can be ignored before the breakdown of EC . At about 66 ns, the breakdown of EC induces that the electrode couple EC changes from an equivalent capacitor to an equivalent resistor. Meanwhile, the voltage across the capacitor increases quickly, while the voltage across the EC decreases. At about 144 ns, the decreases to only 58.5 V. As a result, has increased to a high value, which can be used to ignite the third electrode couple (EC . As a result, the remaining electrode couples are broken down in sequence, which can be revealed by the variation of the voltage across the capacitor and . So the total discharge process can be separated into two processes: trigger discharge and spark discharge. The trigger discharge process starts from the breakdown of the first electrode gap and ends with the breakdown of the last electrode gap. The remainder of the process is the spark discharge.

Fig. 9. (color online) The voltage across different capacitors.
Fig. 10. (color online)The discharge current and the voltage across the second electrode couple.

It is known that, to ingite the air between the electrode couple, the high voltage is necessary. Before the breakdown of each electrode couple, the electrode couple, which can be seen as a small capacity capacitor, is connected with a large relay capacitor in serial. Therefore, when the power supply outputs the pulsed voltage, the impedance of relay capacitor can be ignored. The voltage across the electrode couple would increase until the breakdown. As the negative current–voltage (IV) characteristic of the spark discharge, the voltage drop of an ignited electrode couple is so small that the discharge channel can be seen as wire. As a result, the voltage across the next electrode couple would increase until the breakdown. Taking advantage of the negative current–voltage (IV) characteristic of the spark discharge and the impedance change induced by the breakdown, this circuit can generate multichannel discharge without distributed resistive ballast.

To ensure this circuit works properly, two aspects must be paid attention to. One is that the breakdown voltage of the electrode couple EC , EC , …, EC should be less than that of the electrode couple EC . Another is that the discharge channel must remain alive until breakdown happens in all electrode gaps. These two aspects are affected by the circuit parameters, which is investigated in the following.

3.2. The influence of circuit parameters

The main parameters of this circuit which affect the maximum discharge channel number are shown in Table 1. As described above, the breakdown voltage and the breakdown delay time are not fixed. When the parameters of the circuit stay unchanged, the maximum number of the discharge channels varies. Therefore, in this paper, in a given condition, the simulation is done for 100 times. If the multichannel discharge circuit works properly in above 90 times, the number of the electrode couple increases one. Otherwise, the number of the electrode couple is the maximum number of discharge channel in this given condition.

Table 1.

The main parameters of the multichannel discharge circuit.

.
3.2.1. The influence of

Except the , the value of other parameters is set as follows: V, nF, nF, MΩ, L = 1.65 μH. The MDCN versus is shown in Fig. 11. When the voltage across capacitor C ( increases, the MDCN almost increases linearly.

Fig. 11. The maximum of discharge channels versus .

This phenomenon is easy to explain. Equation (2) has indicated that high electric field strength leads to a short breakdown delay time. So the time to form a complete discharge channel from the first electrode couple EC to the last electrode couple EC decreases with the increase of the voltage . The short time benefits that the formed discharge channel stays live. What is more, with the increase of voltage , the current in the trigger discharge process increases. As a result, more energy is deposited in the discharge channel, which can prevent the discharge channel from terminating. The time to form five discharge channels for different voltage is plotted in Fig. 12. The current waveforms in the trigger discharge process for different voltage is plotted in Fig. 13. These two figures can validate the claim.

Fig. 12. The time to form five discharge channels versus .
Fig. 13. (color online) The current waveforms versus .
3.2.2. The influence of

Except the , the value of other parameters is set as follows: kV, nF, nF, MΩ, H. The MDCN versus is shown in Fig. 14. Obviously, with the increase of voltage , the MDCN almost decreases linearly.

Fig. 14. The maximum discharge channel number versus .

In general, the increase of presents the increase of the distance of electrode couple. As the voltage is fixed, with the increase of , the overvoltage decreases. As a result, the electric field intensity within the air between the electrode couple decreases, leading to the increase of breakdown delay time. Meanwhile, the current in the trigger discharge process decreases. This change does harm to the increase of discharge channel number.

3.2.3. The influence of

Except the , the value of other parameters is set as follows: V, V, nF, MΩ, H. The maximum of discharge channel number versus is shown in Fig. 15. Obviously, with the increase of voltage , the maximum of discharge channel number increases. However, over a certain value of the capacitance , its effect becomes weaker and weaker. Therefore, to increase the MDCN, it is better to increase the voltage rather than the capacitance .

Fig. 15. The maximum of discharge channels versus .
3.2.4. The influence of

Except the , the value of other parameters is set as follows: V, V, nF, MΩ, L = 1.65 μH. The MDCN versus C is shown in Fig. 16. This figure indicates that there is an optimized value of the capacitance , about 100 pF. When the capacitance is larger or smaller than this value, the MDCN decreases.

Fig. 16. The maximum of discharge channels versus .

The reason for this phenomenon is as follows. With the decrease of the capacitance , the current in the trigger discharge process decreases. Less energy is deposited in the discharge channel. As a result, the formed discharge channel is easy to terminate. The current waveforms in the trigger discharge process for different capacitance is plotted in Fig. 17, which can show the variation of current with the capacitance . However, with the increase of the relay capacitance, more energy is needed to charge these relay capacitors to the same voltage. As the energy stored in the capacitor C is fixed, the discharge channel number decreases.

Fig. 17. (color online) The current waveforms versus .
3.2.5. The influence of L

Except the L, the value of other parameters is set as follows: V, V, nF, pF, MΩ. The maximum of discharge channel number versus L is shown in Fig. 18.

Fig. 18. The maximum of dischargechannels versus L.

There are three stages in this curve. In the first stage, the inductance is less than 16.5 μH, and the maximum discharge channel number ranges from 16 to 18. When the inductance increases to a large value, the maximum discharge channel number increase to a higher stage, ranging from 22 to 25. But when the inductance increases too much, the discharge channel number decreases to only one.

3.3. The optimization of the discharge circuit

Based on the self-made mathematical model, the influence of the multichannel discharge circuit parameters is investigated. These parameters can be decided into two categories. One can be not randomly changed to increase the discharge channel number. The voltage is limited by the power supply system. The capacitor is limited by the discharge frequency. The voltage is limited by the plasma actuator. Another can be changed randomly, such as the capacitors , the inductance L. However, with the increase of the inductance, the discharge current decreases and the discharge time increases. This goes against the improvement of the energy efficiency. In order to increase the discharge channel number without decreasing the energy efficiency, the discharge circuit must be modified. The modified circuit diagram is shown in Fig. 19.

Fig. 19. The modified multichannel discharge circuit.

In this circuit, the inductance only plays role in the trigger discharge processes. When breakdown happens in all the electrode couples, the impedance of the discharge channel decreases quickly. As a result, the inductance does not work.

To validate this optimized circuit diagram, based on these optimized parameters, a 31-channel discharge experiment is designed. The discharge image is shown in Fig. 20, which is captured with a Nikon D7000 camera, f-stop f/5.3, shutter speed 1/320 sec, ISO 200. The first electrode couple is made of two hemispheres, and the corresponding breakdown voltage is about 6 kV. The remaining electrode couples are made of tungsten needles with 2-mm distance. Due to the tip effect, the corresponding breakdown voltage ranges from 3 keV to 4 kV. The discharge current and voltage waveforms are shown in Fig. 21. The voltage across the discharge capacitor C, determined by the first electrode couple, is only 6 kV. To form a completed discharge channel, the time of the trigger discharge process is as long as 6.5 μs. Owing to the increase of the plasma resistance, the spark discharge process is shortened to 0.77 μs. Based on this waveform, the plasma resistance is estimated to be 35.87 Ω.

Fig. 20. (color online) The discharge images of 31 channels.
Fig. 21. (color online) The discharge voltage and current waveform with 31 discharge channels.
4. Conclusions

To deepen the understanding of the electrical characteristics and optimize the multichannel discharge circuit, an electric model on a multichannel discharge circuit is developed in this paper. The good agreement between the experiment and the simulation based on this model has shown the accuracy.

Results shown there are two stages in the working process of this multichannel discharge circuit. The first stage is the trigger discharge process. By voltage relay, the voltage across the electrode couples increases to its corresponding breakdown voltage in sequence. The second stage is the spark discharge process. When breakdown happens in all electrode gaps, the discharge current increases quickly.

Based on this model, the influence of the circuit parameters on the MDCN is investigated in detail. Both the input voltage amplitude and the breakdown voltage threshold of each discharge channel play a critical role. With the increase of the input voltage and the decrease of the breakdown voltage, the MCDN increases almost linearly. With the increase of the discharge capacitance, the MDCN first rises and then remains almost constant. With the increase of the circuit inductance, the MDCN increases slowly but decreases quickly when the inductance increases over a certain value. There is an optimal value of the capacitor connected to the discharge channel corresponding to the MDCN.

Based on these influence rules, to shorten the discharge time, a modified multichannel discharge circuit is developed and validated by the experiment. With only 6-kV input voltage, 31-channel discharge is achieved. The breakdown voltage of each electrode gap is larger than 3 kV. Owing to the increase of the plasma resistance, the capacitor deposits its energy in a short time, about 770 μs.

Reference
[1] Corke T C Enloe C L Wilkinson S P 2010 Ann. Rev. Fluid Mech. 42 505
[2] Cattafesta L N III Sheplak M 2011 Ann. Rev. Fluid Mech. 43 247
[3] Bletzinger P Ganguly B N Wie D V Garscadden A 2005 J. Phys. D: Appl. Phys. 38 R33
[4] Webb N Clifford C Samimy M. 2013 Exp. Fluids 54 1545
[5] Hahn C Kearney-Fischer M Samimy M 2011 Exp. Fluids 51 1591
[6] Samimy M Kim J H Kastner J Adamovich I Utkin Y 2007 AIAA J. 45 890
[7] Narayanaswamy V Raja L L Clemens N T 2012 Phys. Fluids 24 076101
[8] Greene B R Clemens N T Magari P Micka D 2015 Shock Waves 25 495
[9] Narayanaswamy V Raja L L Clemens N T 2010 AIAA J. 48 297
[10] Emerick T Ali M Y Foster C Alvi F S Popkin S 2014 Exp. Fluids 55 1858
[11] Golbabaei-Asl M Knight D Wilkinson S 2015 AIAA J. 53 501
[12] Popkin S H Cybyk B Z Foster C H Alvi F S 2016 AIAA J. 54 1831
[13] Zong H Wu Y Song H Jia M 2016 AIAA J. 54 3409
[14] Zong H Wu Y Li Y Song H Zhang Z Jia M 2015 Physics of Fluids 27 027105
[15] Wu Y Li J Jia M Liang H Song H 2012 Chin. Phys. 21 045202
[16] Wang L Luo Z Xia Z Liu B 2013 Acta Phys. Sin. 62 125207 in Chinese
[17] Wang L Xia Z Luo Z Zhou Y Zhang Y 2014 Acta Phys. Sin. 63 194702 in Chinese
[18] Zhang C Wang Y Zhou Y Xie Q Wang R Yan P Shao T 2016 IEEE T. Plasma Sci. 44 2772
[19] Shao T Jiang H Zhang C Yan P Lomaev M I Tarasenko V F 2013 Europhys. Lett. 101 45002
[20] Tie W Liu X Liu S Zhang Q 2015 IEEE T. Plasma Sci. 43 937
[21] Zhang Z Wu Y Jia M Song H Sun Z Zong H Li Y 2017 Sensor Actuat A-Phys. 253 112
[22] Schavemaker P H Van der Slui L 2000 IEEE T. Power Deliver 15 580
[23] Martin T H 1989 Sandia National Labs Albuquerque, NM (USA) 73 79
[24] Hippler R Kersten H Schmidt M 2008 Low temperature plasma: fundamentals, technologies and techniques 2 2 Wiler-VCH 465