[go: up one dir, main page]

Next Issue
Volume 7, September
Previous Issue
Volume 7, March
 
 

Plasma, Volume 7, Issue 2 (June 2024) – 11 articles

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Order results
Result details
Select all
Export citation of selected articles as:
12 pages, 9212 KiB  
Article
Modeling Study of OH Radical-Dominated H-Abstraction Reaction for Understanding Nucleotides Oxidation Induced by Cold Atmospheric Plasmas
by Yu-Xuan Jiang, Yang Chen and Yuan-Tao Zhang
Plasma 2024, 7(2), 498-509; https://doi.org/10.3390/plasma7020026 - 19 Jun 2024
Viewed by 706
Abstract
In recent years, plasma medicine, as an innovative and rapidly growing field, has garnered increasing attention. Nonetheless, the fundamental mechanisms of the interaction processes of cold atmospheric plasma (CAP) and biomolecules remain under investigation. In this paper, a reactive molecular dynamic (MD) simulation [...] Read more.
In recent years, plasma medicine, as an innovative and rapidly growing field, has garnered increasing attention. Nonetheless, the fundamental mechanisms of the interaction processes of cold atmospheric plasma (CAP) and biomolecules remain under investigation. In this paper, a reactive molecular dynamic (MD) simulation with ReaxFF potential was performed to explore the interactions of reactive oxygen species (ROS) produced in CAP, exemplified by OH radicals, and four distinct oligonucleotides. The breakage of single-stranded oligonucleotides induced by OH is observed in the simulation, which could seriously influence the biological activity of cellular DNA. The base release induced by OH radicals means the loss of base sequence information, and the H-abstraction at nucleobases affects the gene strand complementarity, gene transcription, and replication. In addition, the dose effects of OH radicals on bond formation and breaking of oligonucleotides are also discussed by adjusting the number of ROS in the simulation box. This study can enhance the comprehension of interactions between CAP and DNA, thereby indicating possible improvements in plasma device optimization and operation for medical applications. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic representation of a basic nucleotide molecule structure.</p>
Full article ">Figure 2
<p>A reactive MD simulation box with a single-stranded oligonucleotide and 15 OH radicals.</p>
Full article ">Figure 3
<p>Snapshots from MD simulations showing the reaction processes of OH radicals with <math display="inline"><semantics> <msub> <mi>C</mi> <mn>5</mn> </msub> </semantics></math> methyl group at thymine. The OH radical captures an H atom from the methyl group, as illustrated in (<b>a</b>), forming an unsaturated site. Subsequently, the liberated OH is adsorbed onto this site (<b>b</b>), forming hydroxymethyl groups (<b>c</b>). The surrounding OH radicals continue to break the C-H and O-H bonds of the hydroxymethyl group (indicated by red circles in (<b>c</b>)), ultimately forming the aldehyde group (<b>d</b>).</p>
Full article ">Figure 4
<p>Snapshots from MD simulations, showing the reaction processes of OH radicals with <math display="inline"><semantics> <msub> <mi>C</mi> <mn>2</mn> </msub> </semantics></math> amino group at guanine. One of the H atoms at C2 is abstracted by OH radicals, forming a water molecule (<b>a</b>). Following this, an H-atom at the N1 position is abstracted by an OH radical (<b>b</b>). Consequently, the N1, N2, and N3 atoms share unpaired electrons, forming the C2-centered product in its resonance form (<b>c</b>).</p>
Full article ">Figure 5
<p>Snapshots from MD simulations, showing the reaction processes of strand breakage upon the impact of OH radicals. The OH radical abstracts an H atom from the C2′ position, forming two products: a water molecule and a C2′ centered radical (<b>a</b>). Subsequently, C2 tends to establish a double bond with an adjacent carbon, such as C2′=C3′ (<b>b</b>).</p>
Full article ">Figure 6
<p>Snapshots from MD simulations, showing the reaction processes of base release upon the impact of OH radicals. The OH radical abstracts an H atom from C5′, forming a water molecule (<b>a</b>). To maintain stability, the resulting C5′ radical forms a C5′=C4′ double bond (<b>b</b>). This process leads to the cleavage of the C4′-O bond (<b>b</b>) and the conversion of the C1′-O bond into a C1′=O double bond (<b>c</b>). Subsequently, C1′ enters a supersaturated and unstable state, facilitating the detachment of the intact base from the sugar molecule while preserving the integrity of the backbone (<b>c</b>).</p>
Full article ">Figure 7
<p>The breaking-ratio of N-H bods upon impact of OH radicals.</p>
Full article ">Figure 8
<p>The breaking-ratio of C-H bods upon impact of OH radicals.</p>
Full article ">Figure 9
<p>The rupture ratio of 2-deoxyribose bonds upon impact of OH radicals.</p>
Full article ">
33 pages, 1733 KiB  
Review
The Promising Potential of Cold Atmospheric Plasma Therapies
by Beata Stańczyk and Marek Wiśniewski
Plasma 2024, 7(2), 465-497; https://doi.org/10.3390/plasma7020025 - 12 Jun 2024
Viewed by 1498
Abstract
The outstanding properties and chemistry of cold atmospheric plasma (CAP) are not sufficiently understood due to their relatively complex systems and transient properties. In this paper, we tried to present a detailed review of the applications of CAP in modern medicine, highlighting the [...] Read more.
The outstanding properties and chemistry of cold atmospheric plasma (CAP) are not sufficiently understood due to their relatively complex systems and transient properties. In this paper, we tried to present a detailed review of the applications of CAP in modern medicine, highlighting the biochemistry of this phenomenon. Due to its unique characteristics, CAP has emerged as a promising tool in various medical applications. CAP, as a partially—or fully ionized—gas-retaining state of quasi-neutrality, contains many particles, such as electrons, charged atoms, and molecules displaying collective behaviour caused by Coulomb interactions. CAP can be generated at atmospheric pressure, making it suitable for medical settings. Cold plasma’s anti-microbial properties create an alternative method to antibiotics when treating infections. It also enhances cell proliferation, migration, and differentiation, leading to accelerated tissue regeneration. CAP can also be a powerful tool in anti-tumour therapies, stem cell proliferation, dental applications, and disease treatment, e.g., neurology. It is our belief that this article contributes to the deeper understanding of cold plasma therapy and its potential in medicine. The objective of this study is to demonstrate the potential of this relatively novel approach as a promising treatment modality. By covering a range of various biomedical fields, we hope to provide a comprehensive overview of CAP applications for multiple medical conditions. In order to gain further insight into the subject, we attempted to gather crucial research and evidence from various studies, hopefully creating a compelling argument in favour of CAP therapy. Our aim is to highlight the innovative aspects of CAP therapy where traditional methods may have limitations. Through this article, we intend to provide a convenient reference source for readers engaged in the examination of CAP’s potential in medicine. Full article
Show Figures

Figure 1

Figure 1
<p>FE-DBD configurations: (<b>A</b>) “round” type for covering larger surfaces, (<b>B</b>) “wand” type for precise treatment.</p>
Full article ">Figure 2
<p>DBD configurations comparison. (<b>A</b>) Planar configuration, (<b>B</b>) cylindrical configuration.</p>
Full article ">Figure 3
<p>Plasma jet configurations comparison: (<b>A</b>) dielectric-free-electrode (DFE) jet, (<b>B</b>) dielectric-barrier-discharge (DBD) jet, (<b>C</b>) DBD-like jet, (<b>D</b>) single-electrode (SE) jet.</p>
Full article ">Figure 4
<p><b>Left</b> side—direct (<b>upper</b> image) and indirect application (<b>lower</b> image). <b>Right</b> side—simplified mechanism of CAP-induced apoptosis in malignant cell.</p>
Full article ">
19 pages, 1331 KiB  
Article
Importance of the Rotational Transform for L–H Transitions in the TJ-II Stellarator
by Boudewijn Philip van Milligen, Teresa Estrada, Benjamin Carreras, Luis García and the TJ-II Team
Plasma 2024, 7(2), 446-464; https://doi.org/10.3390/plasma7020024 - 12 Jun 2024
Viewed by 671
Abstract
We study the effect of the rotational transform profile on the L–H confinement transitions in the neutral beam-heated plasmas in the TJ-II stellarator. The rotational transform profile in the vacuum is determined by the external coil currents but is modified by the plasma [...] Read more.
We study the effect of the rotational transform profile on the L–H confinement transitions in the neutral beam-heated plasmas in the TJ-II stellarator. The rotational transform profile in the vacuum is determined by the external coil currents but is modified by the plasma current, Ip. We find that L–H confinement transitions systematically occur when the configuration and plasma current are such that a low-order rational is placed in the plasma edge region, with a distribution centered around ρ=0.8±0.05. It is suggested that magnetohydrodynamic turbulence plays an important role in triggering the L–H transitions at TJ-II. Full article
Show Figures

Figure 1

Figure 1
<p>Diagram of one half (two periods) of the TJ-II stellarator, showing the external magnetic field coils (blue: circular toroidal field coils; red: vertical field, radial field, and central circular coils) and ochre: helical coil) that generate the magnetic configuration, a quarter (one period) of the vacuum vessel (gray) and the Last Closed Flux Surface of a plasma (purple). Under normal field operation, the main toroidal field <math display="inline"><semantics> <msub> <mi>B</mi> <mi>T</mi> </msub> </semantics></math> is anti-clockwise as seen from the top. The plasma current <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math> is called positive when it points in the anti-clockwise direction.</p>
Full article ">Figure 2
<p>Vacuum rotational transform profiles for the configurations indicated in the legend. Some rational values are indicated by horizontal dashed lines, with their corresponding labels on the right (all rationals <math display="inline"><semantics> <mrow> <mi mathvariant="italic">ι̵</mi> </mrow> </semantics></math> = <span class="html-italic">n</span>/<span class="html-italic">m</span> in the range 1.45 ≤ <span class="html-italic">n</span>/<span class="html-italic">m</span> ≤ 1.69 with <span class="html-italic">n</span> ≤ 15 are shown).</p>
Full article ">Figure 3
<p>Rotational transform for configuration 100_44 (<math display="inline"><semantics> <mrow> <mn>10</mn> <mo>·</mo> <msub> <mi>I</mi> <mrow> <mi>H</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <mn>44</mn> </mrow> </semantics></math>), and its modification for small values of <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math>. The radial location <math display="inline"><semantics> <mrow> <mi>ρ</mi> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics></math> is highlighted by a vertical dashed line.</p>
Full article ">Figure 4
<p>Typical electron density profiles’ shapes in the NBI phase in L and H modes [<a href="#B31-plasma-07-00024" class="html-bibr">31</a>].</p>
Full article ">Figure 5
<p>Time traces of relevant quantities across an L–H transition. (<b>a</b>) The line average density, <math display="inline"><semantics> <msub> <mi>n</mi> <mi>e</mi> </msub> </semantics></math>; (<b>b</b>) the net plasma current, <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math>; (<b>c</b>) the plasma energy content, <span class="html-italic">W</span>; (<b>d</b>) <math display="inline"><semantics> <msub> <mi>H</mi> <mi>α</mi> </msub> </semantics></math> emissions from the edge; and (<b>e</b>) the estimated radial location of the 8/5 rational surface.</p>
Full article ">Figure 6
<p>Measured plasma current, <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math>, at the transition time, <math display="inline"><semantics> <msub> <mi>t</mi> <mrow> <mi>L</mi> <mi>H</mi> </mrow> </msub> </semantics></math>. The horizontal axis is ten times the helical current, <math display="inline"><semantics> <msub> <mi>I</mi> <mrow> <mi>H</mi> <mi>X</mi> </mrow> </msub> </semantics></math>; i.e., it corresponds to the magnetic configuration.</p>
Full article ">Figure 7
<p>Inferred rational values are indicated in the legend, and dashed lines linking groups of points corresponding to the same rational value have been added, as discussed in the text.</p>
Full article ">Figure 8
<p>Corrected radial position, <math display="inline"><semantics> <msub> <mi>ρ</mi> <mi>rational</mi> </msub> </semantics></math>, of the main relevant rational surface at the confinement transition time, <math display="inline"><semantics> <msub> <mi>t</mi> <mrow> <mi>L</mi> <mi>H</mi> </mrow> </msub> </semantics></math>. The horizontal axis is ten times the helical current, <math display="inline"><semantics> <msub> <mi>I</mi> <mrow> <mi>H</mi> <mi>X</mi> </mrow> </msub> </semantics></math>; i.e., it corresponds to the magnetic configuration. The value of the rational associated with the transition is indicated in the legend.</p>
Full article ">Figure 9
<p>Statistics of transitions according to the radial position of relevant rational surface. The full height of the bars corresponds to the number of transitions associated with any rational. The numbers of transitions associated with the 8/5 and 3/2 rationals are indicated with the colors shown in the legend.</p>
Full article ">Figure 10
<p>Confinement enhancement factor, <span class="html-italic">H</span>, versus the radial location of the 8/5 surface. Data from individual discharges have been collected in bins. The error bars shown indicate the standard deviation of the data in each bin.</p>
Full article ">Figure 11
<p>Average time evolution of the estimated position of rational surfaces (11/7 and 8/5) associated with the L–H transition for the configuration <math display="inline"><semantics> <mrow> <mn>10</mn> <mo>·</mo> <msub> <mi>I</mi> <mrow> <mi>H</mi> <mi>X</mi> </mrow> </msub> <mo>=</mo> <mn>42</mn> </mrow> </semantics></math>. The time evolution is averaged over 80 discharges (8/5) and 10 discharges (11/7).</p>
Full article ">Figure 12
<p>Line average electron density at the time of the L–H transition, <math display="inline"><semantics> <mrow> <msub> <mi>n</mi> <mi>e</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mrow> <mi>L</mi> <mi>H</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </semantics></math>, versus the radial location of 3/2 surface. The red dashed line indicates a trend for the low heating power dataset (<math display="inline"><semantics> <mrow> <mi>P</mi> <mo>&lt;</mo> <mn>350</mn> </mrow> </semantics></math> kW).</p>
Full article ">Figure 13
<p>Confinement enhancement factor, <span class="html-italic">H</span>, versus the radial location of the 3/2 surface for the low heating power dataset (<math display="inline"><semantics> <mrow> <mi>P</mi> <mo>&lt;</mo> <mn>350</mn> </mrow> </semantics></math> kW).</p>
Full article ">Figure 14
<p>Normalized density and electron temperature profiles used in MHD turbulence modeling.</p>
Full article ">Figure 15
<p>Rotational transform profiles used in MHD turbulence modeling.</p>
Full article ">Figure 16
<p>Effective confinement time, <math display="inline"><semantics> <msub> <mi>τ</mi> <mi>eff</mi> </msub> </semantics></math>, normalized to the resistive time, <math display="inline"><semantics> <msub> <mi>τ</mi> <mi>R</mi> </msub> </semantics></math>, versus normalized radii for the two modeled cases. The locations of the 13/8 and 5/3 rational surfaces are indicated for each case by a vertical dashed line in the corresponding color.</p>
Full article ">Figure 17
<p>A comparison of radial profiles of <math display="inline"><semantics> <msub> <mi>v</mi> <mi>θ</mi> </msub> </semantics></math> between the two modeled cases.</p>
Full article ">
19 pages, 470 KiB  
Article
Extracting Physical Information from the Voigt Profile Using the Lambert W Function
by Jean-Christophe Pain
Plasma 2024, 7(2), 427-445; https://doi.org/10.3390/plasma7020023 - 27 May 2024
Viewed by 663
Abstract
Spectral line shapes are a key ingredient of hot-plasma opacity calculations. Since resorting to elaborate line-shape models remains prohibitive for intensive opacity calculations involving ions in different excitation states, with L, M, etc., shells are populated, and Voigt profiles often represent [...] Read more.
Spectral line shapes are a key ingredient of hot-plasma opacity calculations. Since resorting to elaborate line-shape models remains prohibitive for intensive opacity calculations involving ions in different excitation states, with L, M, etc., shells are populated, and Voigt profiles often represent a reliable alternative. The corresponding profiles result from the convolution of a Gaussian function (for Doppler and sometimes ionic Stark broadening) and a Lorentzian function, for radiative decay (sometimes referred to as “natural” width) and electron-impact broadening. However, their far-wing behavior is incorrect, which can lead to an overestimation of the opacity. The main goal of the present work was to determine the energy (or frequency) at which the Lorentz wings of a Voigt profile intersect with the underlying Gaussian part of the profile. It turns out that such an energy cut-off, which provides us information about the dominant line-broadening process in a given energy range, can be expressed in terms of the Lambert W function, which finds many applications in physics. We also review a number of representations of the Voigt profile, with an emphasis on the pseudo-Voigt decomposition, which lends itself particularly well to cut-off determination. Full article
Show Figures

Figure 1

Figure 1
<p>Gaussian, Lorentzian, and Voigt profiles. The Gaussian is such that <math display="inline"><semantics> <mrow> <mn>2</mn> <msup> <mi>σ</mi> <mn>2</mn> </msup> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>; and the Lorentzian, such that <math display="inline"><semantics> <mrow> <mi>γ</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math> (see Equations (<a href="#FD28-plasma-07-00023" class="html-disp-formula">28</a>) and (<a href="#FD29-plasma-07-00023" class="html-disp-formula">29</a>), respectively).</p>
Full article ">Figure 2
<p>Functions <math display="inline"><semantics> <msup> <mi>e</mi> <mrow> <mo>−</mo> <msup> <mi>x</mi> <mn>2</mn> </msup> </mrow> </msup> </semantics></math> (Gaussian), <math display="inline"><semantics> <mrow> <mn>1</mn> <mo>/</mo> <msqrt> <mi>π</mi> </msqrt> <mo>/</mo> <msup> <mi>x</mi> <mn>2</mn> </msup> </mrow> </semantics></math> (Lorentzian) (see Equation (<a href="#FD53-plasma-07-00023" class="html-disp-formula">53</a>)), and the same Voigt profile shown in <a href="#plasma-07-00023-f001" class="html-fig">Figure 1</a>.</p>
Full article ">Figure 3
<p>(<b>Left</b>): Functions <math display="inline"><semantics> <msup> <mi>e</mi> <mrow> <mo>−</mo> <msup> <mi>x</mi> <mn>2</mn> </msup> </mrow> </msup> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>γ</mi> <mo>/</mo> <msqrt> <mi>π</mi> </msqrt> <mo>/</mo> <msup> <mi>x</mi> <mn>2</mn> </msup> </mrow> </semantics></math> (see Equation (<a href="#FD53-plasma-07-00023" class="html-disp-formula">53</a>)) with <math display="inline"><semantics> <mrow> <mi>γ</mi> <mo>=</mo> <mn>0.2</mn> </mrow> </semantics></math> and the Voigt profile <math display="inline"><semantics> <mrow> <mi>K</mi> <mo>(</mo> <mi>x</mi> <mo>,</mo> <mn>0.2</mn> <mo>)</mo> </mrow> </semantics></math> (see Equation (<a href="#FD2-plasma-07-00023" class="html-disp-formula">2</a>)). (<b>Right</b>): The same functions but with a logarithmic scale for the <span class="html-italic">y</span>-axis.</p>
Full article ">Figure 4
<p>Representation of the two branches of the Lambert function.</p>
Full article ">Figure A1
<p>Contributions <math display="inline"><semantics> <msub> <mi>G</mi> <mn>1</mn> </msub> </semantics></math>, <math display="inline"><semantics> <msub> <mi>G</mi> <mn>2</mn> </msub> </semantics></math>, <math display="inline"><semantics> <msub> <mi>G</mi> <mn>3</mn> </msub> </semantics></math>, and <math display="inline"><semantics> <msub> <mi>G</mi> <mn>4</mn> </msub> </semantics></math> (given by Equations (<a href="#FD110-plasma-07-00023" class="html-disp-formula">A22</a>), (<a href="#FD112-plasma-07-00023" class="html-disp-formula">A24</a>), (<a href="#FD113-plasma-07-00023" class="html-disp-formula">A25</a>) and (<a href="#FD114-plasma-07-00023" class="html-disp-formula">A26</a>), respectively) are the first terms in expansion (<a href="#FD104-plasma-07-00023" class="html-disp-formula">A16</a>).</p>
Full article ">
41 pages, 3035 KiB  
Review
Plasma Control: A Review of Developments and Applications of Plasma Medicine Control Mechanisms
by Jonathan E. Thomas and Katharina Stapelmann
Plasma 2024, 7(2), 386-426; https://doi.org/10.3390/plasma7020022 - 27 May 2024
Viewed by 2383
Abstract
Cold atmospheric plasmas (CAPs) within recent years have shown great promise in the field of plasma medicine, encompassing a variety of treatments from wound healing to the treatment of cancerous tumors. For each subsequent treatment, a different application of CAPs has been postulated [...] Read more.
Cold atmospheric plasmas (CAPs) within recent years have shown great promise in the field of plasma medicine, encompassing a variety of treatments from wound healing to the treatment of cancerous tumors. For each subsequent treatment, a different application of CAPs has been postulated and attempted to best treat the target for the most effective results. These treatments have varied through the implementation of control parameters such as applied settings, electrode geometries, gas flow, and the duration of the treatment. However, with such an extensive number of variables to consider, scientists and engineers have sought a means to accurately control CAPs for the best-desired effects in medical applications. This paper seeks to investigate and characterize the historical precedent for the use of plasma control mechanisms within the field of plasma medicine. Current control strategies, plasma parameters, and control schemes will be extrapolated through recent developments and successes to gain better insight into the future of the field and the challenges that are still present in the overall implementation of such devices. Proposed approaches, such as data-driven machine learning, and the use of closed-loop feedback controls, will be showcased as the next steps toward application. Full article
Show Figures

Figure 1

Figure 1
<p>The transition of control engineering through time defined by the devices that made each era of control possible. Early records of mechanical control were depicted as early as ancient Egypt, with electro-mechanical control taking its place with the onset of linking electricity and magnetism. Vacuum tubes were followed which allowed for amplification of circuit signals and faster response times. Consolidation of device foot-prints was then achieved by the innovation of the transistor which lead to two branching methods of control used today being analog and digital control.</p>
Full article ">Figure 2
<p>Overview block diagram depicting the differences in open-loop control systems versus closed-loop control systems.</p>
Full article ">Figure 3
<p>Measured reactor temperature of a surface DBD (<b>a</b>) and a volume DBD (<b>b</b>) comparing an open-loop control strategy (MAN) and a closed-loop control strategy (AUTO). Reprinted/adapted with permission from Ref. [<a href="#B20-plasma-07-00022" class="html-bibr">20</a>]. Copyright 2022, Authors. Licensee MDPI, Basel, Switzerland. Image reprinted/adapted from an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.</p>
Full article ">Figure 4
<p>Measured average power of a surface DBD (<b>a</b>) and a volume DBD (<b>b</b>) comparing an open-loop control strategy (MAN) and a closed-loop control strategy (AUTO) Reprinted/adapted with permission from Ref. [<a href="#B20-plasma-07-00022" class="html-bibr">20</a>]. Copyright 2022, Authors. Licensee MDPI, Basel, Switzerland. Image reprinted/adapted from an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.</p>
Full article ">Figure 5
<p>Typical process responses with feedback control for P, PI, and PID controller over time.</p>
Full article ">Figure 6
<p>Block diagram showcasing the parallel form of PID controller.</p>
Full article ">Figure 7
<p>Block diagram control layout of a model predictive controller (MPC) implementation.</p>
Full article ">Figure 8
<p>Multi-layer neural network with three layers, ten weighting nodes, and two bias nodes.</p>
Full article ">Figure 9
<p>Reinforcement Learning (RL) flow diagram, depicting an agent taking actions from an environment that can be interpreted as a reward or penalty to produce the next state.</p>
Full article ">Figure 10
<p>A basic control of plasmas overview depicting plasma inputs that can manipulate plasma parameters (Control Inputs), the measured outputs of the plasma (Measured Outputs), and the controllers that feed directly back the the inputs that need to be adjusted for the desired outputs (Controller).</p>
Full article ">Figure 11
<p>Rendering of a control scheme used for an RBF-PI controller to manipulate input voltage based off predicted power measurements.</p>
Full article ">Figure 12
<p>Control block diagram depicting a method for controlling plasma current within the experimental nuclear fusion device JET. Reprinted/adapted from Ref. [<a href="#B65-plasma-07-00022" class="html-bibr">65</a>], with permission from, Copyright (2014), Elsevier.</p>
Full article ">Figure 13
<p>Schematic of CCP etch reactor employed for the use in comparing AMPC and MPC control strategies by manipulating input variables of power, pressure, and flow. Reprinted/adapted from Ref. [<a href="#B75-plasma-07-00022" class="html-bibr">75</a>], with permission from, Copyright (2019), Elsevier.</p>
Full article ">Figure 14
<p>Control architecture diagram depicted the implementation of virtual metrology models and controllers for controlling etch rate time in a CCP reactor. Reprinted/adapted from Ref. [<a href="#B86-plasma-07-00022" class="html-bibr">86</a>], with permission from, Copyright (2012), Elsevier.</p>
Full article ">Figure 15
<p>Block control diagram depicting a feedforward controller accounting for substrate type when measuring substrate temperature. Reprinted/adapted from Ref. [<a href="#B105-plasma-07-00022" class="html-bibr">105</a>], with permission from, Copyright (2019), IOP Publishing Ltd.</p>
Full article ">Figure 16
<p>Closed loop simulation results for MPC controller vs PI control system in Case Study II: (<b>a</b>) substrate temperature, (<b>b</b>) plasma current, (<b>c</b>) plasma power, (<b>d</b>) thermal CEM, and (<b>e</b>) nonthermal CEM. The black dashed line in each image represent the IMC-based PI response, blue is the MPC response, orange is MPC target, green is the PI setpoint, and the yellow dashed line is the constraint. Reprinted/adapted from Ref. [<a href="#B102-plasma-07-00022" class="html-bibr">102</a>], with permission from, Copyright (2017), IOP Publishing Ltd.</p>
Full article ">Figure 17
<p>Model of the temporal response of relative cell viability. The dashed line shows the treatment goal. The red line illustrates an ideal case in which the accurate mathematical model for cell response is available. The blue curve shows the results when the accurate mathematical model is available but no MPC is used for optimal control. In black, MPC is introduced when the mathematical model is not ideal, showcasing the capabilities of MPC to mitigate modeling errors by optimizing the response. Reprinted/adapted from Ref. [<a href="#B112-plasma-07-00022" class="html-bibr">112</a>], with permission from, Copyright (2019), IOP Publishing Ltd.</p>
Full article ">Figure 18
<p>Closed loop simulation profiles of (<b>a</b>) CEM dose metric and (<b>b</b>) substrate temperature, comparing an explicit NMPC versus DNN and PNN-NMPC models. Reprinted/adapted from Ref. [<a href="#B31-plasma-07-00022" class="html-bibr">31</a>], with permission from, Copyright (2020), Elsevier.</p>
Full article ">Figure 19
<p>Plasma control publications published since 1940 based on polled queries filtered through the web of science database. Plasma publications are categorized based off their subsequent topic or field of application.</p>
Full article ">Figure 20
<p>Publications of peer reviewed papers per year from 1940 to 2023 listed in the web of science database with the key phrase ’Plasma control’. Red bullets indicate the amount of ’Plasma control’ publications for a given year. Arrows indicate dates of significant plasma control papers that advanced the field: (1) Leimberger [<a href="#B125-plasma-07-00022" class="html-bibr">125</a>], (2) Brown et al. [<a href="#B126-plasma-07-00022" class="html-bibr">126</a>], (3) Hirobe et al. [<a href="#B127-plasma-07-00022" class="html-bibr">127</a>], (4) Tsai et al. [<a href="#B128-plasma-07-00022" class="html-bibr">128</a>], (5) Stevenson et al. [<a href="#B45-plasma-07-00022" class="html-bibr">45</a>], (6) Moreau et al. [<a href="#B129-plasma-07-00022" class="html-bibr">129</a>], (7) Bruggeman et al. [<a href="#B130-plasma-07-00022" class="html-bibr">130</a>], (8) Gidon et al. [<a href="#B114-plasma-07-00022" class="html-bibr">114</a>].</p>
Full article ">
20 pages, 6436 KiB  
Review
Advanced Diagnostics of Electrons Escaping from Laser-Produced Plasma
by Josef Krása, Michal Krupka, Shubham Agarwal, Vincenzo Nassisi and Sushil Singh
Plasma 2024, 7(2), 366-385; https://doi.org/10.3390/plasma7020021 - 13 May 2024
Viewed by 923
Abstract
This article provides an up-to-date overview of the problems associated with the detection of hot electrons escaping from laser-produced plasma and corresponding return current flowing from the ground to the target, which neutralises the positive charge occurring on the target due to the [...] Read more.
This article provides an up-to-date overview of the problems associated with the detection of hot electrons escaping from laser-produced plasma and corresponding return current flowing from the ground to the target, which neutralises the positive charge occurring on the target due to the escaped electrons. In addition, the target holder system acts as an antenna emitting an electromagnetic pulse (EMP), which is powered by the return target. If the amount of positive charge generated on the target is equal to the amount of charge carried away from the plasma by the escaping electrons, the measurement of the return current makes it possible to determine this charge, and thus also the number of escaped electrons. Methods of return current detection in the mA–10 kA range is presented, and the corresponding charge is compared to the charge determined using calibrated magnetic electron energy analysers. The influence of grounded and insulated targets on the number of escaped electrons and EMP intensity is discussed. In addition to EMP detection, mapping of the electrical potential near the target is mentioned. Full article
(This article belongs to the Special Issue Latest Review Papers in Plasma Science 2023)
Show Figures

Figure 1

Figure 1
<p>Comparison of normalized time courses of the photopeak of the Faraday cup signal <span class="html-italic">U<sub>FC</sub></span>, potential |<span class="html-italic">U<sub>z</sub></span>| detected by the probe, and the KrF laser pulse, <span class="html-italic">I<sub>L</sub></span>, irradiating the Al target. The inset shows schematically the localization of the probe and the Faraday cup relative to the target.</p>
Full article ">Figure 2
<p>Polarisation of a target insulated from an interaction chamber with a capacitance of 31 ± 5 pF, and typical waveform of the KrF excimer laser pulse and temporal evolution of the charge on the isolated polyethylene (PE), and Sn targets irradiated with laser pulses of 100 and 64 mJ, respectively.</p>
Full article ">Figure 3
<p>(<b>a</b>) Time-resolved voltage on an isolated target (solid line) and across the 10 Ω resistor connecting this Sn target to ground (dashed line). Laser delivered energy of 100 mJ on the target. (<b>b</b>) Detail of the current flowing from the Sn and C targets through the 10 Ω resistor to the ground.</p>
Full article ">Figure 4
<p>The ion charge density (DOF spectra) of Cu ions along the target surface normal were determined from the ion detector signal using Equation (5) for a selected time of 80 ns after the laser shot. The dashed line shows the fit of (6) to the data for <span class="html-italic">z</span> ranging from 3.4 to 4.2 mm. The Cu target was irradiated with a 23 ns KrF laser, which delivered an energy of 68 mJ.</p>
Full article ">Figure 5
<p>(<b>a</b>) The time-resolved current of Sn ions detected using a Faraday cup and the return target current flowing through a 10 Ω resistor to ground. (<b>b</b>) Time-resolved voltage on an isolated Sn target. The targets were exposed to 100mJ energy of KrF laser radiation.</p>
Full article ">Figure 6
<p>Time-resolved voltage on massive Cu targets irradiated with the PALS (λ = 1.315 μm, black line) and KrF (λ = 248 nm, red line) lasers, delivering intensities of 1 × 10<sup>14</sup> and 1 × 10<sup>8</sup> W cm<sup>−2</sup> μm<sup>2</sup>, respectively. The EMP interfered with the PALS target probe signal.</p>
Full article ">Figure 7
<p>(<b>a</b>) The typical target probe signal induced by the short-circuit current flowing between the target and ground, where a 1 mm Cu target was exposed to 6 × 10<sup>16</sup> W cm<sup>−2</sup> μm<sup>2</sup> intensity delivered by the PALS laser system. (<b>b</b>) Signal of a H field probe RS H 400-1 (30 MHz–1 GHz) induced by the EMP. (<b>c</b>) Frequency spectrum of the transient return target current, and (<b>d</b>) frequency spectrum of EMP detected inside the interaction chamber.</p>
Full article ">Figure 8
<p>Schematic layout of 12 magnetic electron spectrometers at different angles from the laser axis on the front and back side of the thin foil target (<b>left</b>). Laser is incident at an angle of 0°. Angular dependence of spectral density of hot electrons for selected energies (<b>right</b>). Results for 12 channel angular arrays were obtained during interaction of the PALS beam (350 ps, 439 J) with a 6 μm thick Pb foil.</p>
Full article ">Figure 9
<p>Energy spectra of electrons emitted at different angles and the images of scanned imaging plate detectors shown at the top of each plot. A 6 μm thin Pb foil was exposed to a laser intensity of 4 × 10<sup>16</sup> W cm<sup>−2</sup> μm<sup>2</sup>.</p>
Full article ">Figure 10
<p>Energy spectrum of vacuum electrons propagated through the plasma to the back of the target foil at angle of 197° to the laser vector. The 6 μm thin Pb foil was exposed to a laser intensity of 4 × 10<sup>16</sup> W cm<sup>−2</sup> μm<sup>2</sup>.</p>
Full article ">
11 pages, 4437 KiB  
Article
Shock–Discharge Interaction Model Extended into the Third Dimension
by Anna Markhotok
Plasma 2024, 7(2), 355-365; https://doi.org/10.3390/plasma7020020 - 11 May 2024
Viewed by 687
Abstract
This work is an addition to the previously developed two-dimensional model of the shock–plasma interaction, extending it into the third dimension. The model can trace the evolution of the state of the hypersonic flow and the shock front refracted at a thermal discontinuity. [...] Read more.
This work is an addition to the previously developed two-dimensional model of the shock–plasma interaction, extending it into the third dimension. The model can trace the evolution of the state of the hypersonic flow and the shock front refracted at a thermal discontinuity. The advantages of using the spherical coordinate system for this type of problem include increased transparency in interpreting the solution and a shortened calculation procedure, because all the changes to the front are reduced to one distortion component. Although the vorticity generation triggered at the interface is a consequence of the refraction and tied to the steep changes in the front, it is shown here that this is not because of an instant parameter jump at the interface due to refraction itself. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of a planar shock wave incident on a spherically shaped heated spot with a velocity <span class="html-italic">V</span><sub>1</sub> along the <span class="html-italic">x</span>-direction.</p>
Full article ">Figure 2
<p>The initially planar shock front (green vertical line) distorted (green curve) during its refraction into a spherical plasma spot, projected onto the (<span class="html-italic">z</span>,<span class="html-italic">x</span>)-plane.</p>
Full article ">Figure 3
<p>The distortion components <span class="html-italic">δ</span><sub>r</sub>, <span class="html-italic">δ</span><sub>x</sub>, <span class="html-italic">δ</span><sub>y</sub>, and <span class="html-italic">δ</span><sub>z</sub> at the moment of time <span class="html-italic">n</span><sub>t</sub> = 1.0, plotted in the (<span class="html-italic">z</span>,<span class="html-italic">y</span>)-plane. Diatomic nitrogen gas at <span class="html-italic">T</span><sub>1</sub> = 300 K, <span class="html-italic">T<sub>2</sub> =</span> 2000 K, <span class="html-italic">M</span><sub>1</sub> = 3.5, and <span class="html-italic">p</span> = <span class="html-italic">p</span><sub>atm</sub>.</p>
Full article ">Figure 3 Cont.
<p>The distortion components <span class="html-italic">δ</span><sub>r</sub>, <span class="html-italic">δ</span><sub>x</sub>, <span class="html-italic">δ</span><sub>y</sub>, and <span class="html-italic">δ</span><sub>z</sub> at the moment of time <span class="html-italic">n</span><sub>t</sub> = 1.0, plotted in the (<span class="html-italic">z</span>,<span class="html-italic">y</span>)-plane. Diatomic nitrogen gas at <span class="html-italic">T</span><sub>1</sub> = 300 K, <span class="html-italic">T<sub>2</sub> =</span> 2000 K, <span class="html-italic">M</span><sub>1</sub> = 3.5, and <span class="html-italic">p</span> = <span class="html-italic">p</span><sub>atm</sub>.</p>
Full article ">Figure 4
<p>The distortion components <span class="html-italic">δ</span><sub>r</sub>, <span class="html-italic">δ</span><sub>x</sub>, <span class="html-italic">δ</span><sub>y</sub>, and <span class="html-italic">δ</span><sub>z</sub> at the moment of time <span class="html-italic">n</span><sub>t</sub> = 1.0, plotted in the (<span class="html-italic">x</span>,<span class="html-italic">y</span>)-plane, for the same shock and gas parameters shown in <a href="#plasma-07-00020-f003" class="html-fig">Figure 3</a>.</p>
Full article ">Figure 5
<p>Shock profiles obtained with a 2D model in the (<span class="html-italic">z</span>,<span class="html-italic">y</span>)-plane at various times, as shown in <a href="#plasma-07-00020-f003" class="html-fig">Figure 3</a>. The curves correspond to dimensionless times through the equal intervals of Δ<span class="html-italic">n</span><sub>τ</sub> = 0.2 for the first six curves, Δ<span class="html-italic">n</span><sub>t</sub> = 0.15 for the next three crossing the back interface, and Δ<span class="html-italic">n<sub>t</sub></span> = 0.3 for those propagating freely behind it. The curve crossing the sphere pole corresponds to the time <span class="html-italic">n<sub>τ</sub></span> = 1.0.</p>
Full article ">Figure 6
<p>The initial planar shock front modification in the case of cylindrical symmetry at the time <span class="html-italic">n<sub>t</sub></span> = 1.0 and with the same shock and gas parameters as shown in <a href="#plasma-07-00020-f003" class="html-fig">Figure 3</a>.</p>
Full article ">Figure 7
<p>The distortion component <span class="html-italic">δ</span><sub>x</sub> vs. coordinate <span class="html-italic">z</span> in the plane passing through the longitudinal axis of symmetry (<span class="html-italic">y</span> = 0), at the time <span class="html-italic">n<sub>t</sub></span> = 1.0.</p>
Full article ">
26 pages, 2456 KiB  
Review
The Phenomenon of a Cathode Spot in an Electrical Arc: The Current Understanding of the Mechanism of Cathode Heating and Plasma Generation
by Isak I. Beilis
Plasma 2024, 7(2), 329-354; https://doi.org/10.3390/plasma7020019 - 26 Apr 2024
Viewed by 1016
Abstract
A vacuum arc is an electrical discharge, in which the current is supported by localized cathode heating and plasma generation in minute regions at the cathode surface called cathode spots. Cathode spots produce a metallic plasma jet used in many applications (microelectronics, space [...] Read more.
A vacuum arc is an electrical discharge, in which the current is supported by localized cathode heating and plasma generation in minute regions at the cathode surface called cathode spots. Cathode spots produce a metallic plasma jet used in many applications (microelectronics, space thrusters, film deposition, etc.). Nevertheless, the cathode spot is a problematic and unique subject. For a long time, the mechanisms of spot initiation, time development, instability, high mobility, and behavior in magnetic fields have been described by approaches that caused some controversy. These spot characteristics were discussed in numerous publications over many years. The obscurity and confusion of different studies created the impression that the cathode spot is a mysterious phenomenon. In the present work, a number of typical representative publications are reviewed with the intention of clarifying problems and contradictions. Two main theories of cathodic arcs are presented along with an analysis of the experimental data. One of the approaches illustrates the cathode heating by Joule energy dissipation (volume heat source, a sharp rise in current density, etc.), nearly constant cathode potential drop, and other certain initial conditions. On the other hand, a study using a mathematically closed approach shows that the spot initiation and development are determined not by electron emission current rise but by a rise in arc power density, affecting heat sources including the energy of ion flux to the cathode (surface heat source). Full article
(This article belongs to the Special Issue Latest Review Papers in Plasma Science 2023)
Show Figures

Figure 1

Figure 1
<p>Cathode spot view before (<b>left</b>) and after splitting (<b>right</b>) and separation of the new spots away from each other for arc current <span class="html-italic">I</span> = 150 A.</p>
Full article ">Figure 2
<p>Example of Ecker’s existence diagram in the plane showing the possible values of temperature–current density in the cathode spot.</p>
Full article ">Figure 3
<p>Schematic presentation of an emission center on the top of a point cathode (<b>a</b>) and the surface of a plane cathode (<b>b</b>).</p>
Full article ">Figure 4
<p>Dependency of the most probable crater diameter on the arc current for a Cu cathode.</p>
Full article ">Figure 5
<p>Schematic presentation of liquid protrusion under plasma heating and plasma pressure: before (<b>left</b>) and after (<b>right</b>) plasma action.</p>
Full article ">Figure 6
<p>Schematic presentation (left—spot on the protrusion cathode and right—spot on the bulk cathode) of the physical regions according to the kinetic model of the cathode spot. The numbers indicate the boundaries of the regions explained through the text.</p>
Full article ">Figure 7
<p>Cathode potential drop and cathode spot temperature as variables dependent on spot time in nanosecond (ns) region with <span class="html-italic">τ</span> as the parameter, which the characterized initial conditions for protrusion size of 1 µm (maximal <span class="html-italic">u<sub>c</sub></span> is about 60 V at <span class="html-italic">τ</span> = 10 ns).</p>
Full article ">Figure 8
<p>Cathode potential drop and cathode spot temperature as variables dependent on spot time in nanosecond (ns) region with <span class="html-italic">τ</span> as the parameter, which the characterized initial conditions for protrusion size of 0.5 µm (maximal <span class="html-italic">u<sub>c</sub></span> is about 40 V at <span class="html-italic">τ</span> = 10 ns).</p>
Full article ">Figure 9
<p>Time dependence of effective cathode voltage for W shower anode indicating agreement with traditional measurements of 6 V [<a href="#B99-plasma-07-00019" class="html-bibr">99</a>] at the arc’s beginning (when the cold anode did not influence the gap plasma) and an increase in the <span class="html-italic">u<sub>ef</sub></span> value of up to 11–12 V with time was observed (when the hot anode reflected the early condensed cathode plasma). The line approximates the measured dependence indicated by the points.</p>
Full article ">Figure 10
<p>Spots expanding on the cathode in the form of a ring with arc current 200 A.</p>
Full article ">
13 pages, 5830 KiB  
Article
Determination of Highly Transient Electric Field in Water Using the Kerr Effect with Picosecond Resolution
by Petr Hoffer, Václav Prukner, Garima Arora, Radek Mušálek and Milan Šimek
Plasma 2024, 7(2), 316-328; https://doi.org/10.3390/plasma7020018 - 22 Apr 2024
Cited by 1 | Viewed by 1215
Abstract
This study utilizes the Kerr effect in the analysis of a pulsed electric field (intensity ~108 V/m, limited by the liquid dielectric strength) in deionized water at the sub-nanosecond time scale. The results provide information about voltage waveforms at the field-producing anode [...] Read more.
This study utilizes the Kerr effect in the analysis of a pulsed electric field (intensity ~108 V/m, limited by the liquid dielectric strength) in deionized water at the sub-nanosecond time scale. The results provide information about voltage waveforms at the field-producing anode (160 kV peak, du/dt > 70 kV/ns). The analysis is based on detecting the phase shifts between measured and reference pulsed laser beams (pulse width, 35 ps; wavelength, 532 nm) using a Mach–Zehnder interferometer. The signal-to-noise ratio of the detected phase shift is maximized by an appropriate geometry of the field-producing anode, which creates a correctly oriented strong electric field along the interaction path and simultaneously does not electrically load the feeding transmission line. The described method has a spatial resolution of ~1 μm, and its time resolution is determined by the laser pulse duration. Full article
Show Figures

Figure 1

Figure 1
<p>Simplified sketch of (<b>a</b>) the reactor chamber composed of a grounded stainless-steel body, windows for optical diagnostics, and a water inlet/outlet, and (<b>b</b>) the coax-based HV electrode (plate anode). Images (<b>c</b>,<b>d</b>) show examples of interferograms near the plate anode (visible as the dark silhouette) captured at zero voltage (<b>c</b>) and at 160 kV (<b>d</b>).</p>
Full article ">Figure 2
<p>Block scheme of the interferometric (Mach–Zehnder) setup: P—polarizer; A—analyzer; M1 and M2—mirrors; RB—reference beam; PB—probing beam; ChD—delay chamber; ChM—measurements chamber with the plate anode; BS1 and BS2—beam splitters; PMT—photomultiplier; L1 and L2—objective lenses; FID—high-voltage pulsed source; <span class="html-italic">CP</span>—signal from the capacitive probe.</p>
Full article ">Figure 3
<p>Typical waveforms of voltage acquired by the capacitive probe and the photomultiplier detecting the laser pulse.</p>
Full article ">Figure 4
<p>Orientation of axes with respect to the plate anode (<b>a</b>) and <span class="html-italic">z</span>–component of electric field in the <span class="html-italic">y</span>–<span class="html-italic">z</span> plane calculated at a voltage of 150 kV and corresponding ∆<span class="html-italic">n</span> determined by Equation (1) (<b>b</b>). The position of the electrode apex corresponds to <span class="html-italic">z</span> = 0, and vertical axes of symmetry correspond to <span class="html-italic">x</span> = 0 and <span class="html-italic">y</span> = 0.</p>
Full article ">Figure 5
<p>Estimation of contribution to the total phase shift of the probing beam at a voltage of 150 kV in the areas where the electric field is appreciable. Distribution of electric field around the anode plate in the <span class="html-italic">y–z</span> plane is indicated by the red arrows.</p>
Full article ">Figure 6
<p>Spectrum of the voltage pulse generated by the FID.</p>
Full article ">Figure 7
<p>Description of fringe pattern in a typical interferogram: fringe deviation at zero field due to optical system distortion (<b>a</b>) and fringe pattern destruction and shift due to electric field (time delay from the voltage pulse onset and voltage are 3 ns/154 kV) (<b>b</b>). The anode plate edge is outlined for better visibility. Vertical laser polarization.</p>
Full article ">Figure 8
<p>Examples of (<b>a</b>) single-corner discharge and (<b>b</b>) two-corner discharge. Peak electrode voltage is ~175 kV and time delay from the voltage pulse onset and laser is approximately 3 ns.</p>
Full article ">Figure 9
<p>Morphology of the electrode tip in the central area and edges. Macroscopic views (<b>a</b>–<b>c</b>,<b>g</b>–<b>i</b>) and detail (<b>d</b>–<b>f</b>). Yellow arrows in (<b>a</b>,<b>c</b>,<b>g</b>,<b>i</b>) point to the path on which the discharge was evidently preferentially formed.</p>
Full article ">Figure 10
<p>Series of interferograms demonstrating fringe distortion at different voltages and laser polarizations. The images do not preserve the original aspect ratio (larger horizontal scale) for better fringe shift visibility. The interferometer is set up such that the fringes always shift in the presence of electric field towards the electrode at the axis of symmetry.</p>
Full article ">Figure 11
<p>Time dependence of phase shift in both laser polarizations (<b>a</b>,<b>c</b>) and corresponding reconstructed electric field waveforms together with the voltage waveforms gained from the HV probe (<b>b</b>,<b>d</b>). The voltage amplitude was 128 kV (<b>a</b>,<b>b</b>) and 160 kV (<b>c</b>,<b>d</b>).</p>
Full article ">Figure 12
<p>Numerical simulations of the <span class="html-italic">z</span>-component of the electric field (full blue line) with the calculated rise in the phase shift (dashed black line) due to the Kerr effect along the path (of the laser beam) perfectly aligned with the <span class="html-italic">y</span>-axis (<b>a</b>), and along the path that slightly leaned in the <span class="html-italic">z</span>-direction causing apparent field distortion (<b>b</b>). The electrode voltage in the simulation is 160 kV.</p>
Full article ">
16 pages, 36305 KiB  
Article
Short-Term Oxidation of HfB2-SiC Based UHTC in Supersonic Flow of Carbon Dioxide Plasma
by Aleksey V. Chaplygin, Elizaveta P. Simonenko, Mikhail A. Kotov, Vladimir I. Sakharov, Ilya V. Lukomskii, Semen S. Galkin, Anatoly F. Kolesnikov, Anton S. Lysenkov, Ilya A. Nagornov, Artem S. Mokrushin, Nikolay P. Simonenko, Nikolay T. Kuznetsov, Mikhail Y. Yakimov, Andrey N. Shemyakin and Nikolay G. Solovyov
Plasma 2024, 7(2), 300-315; https://doi.org/10.3390/plasma7020017 - 19 Apr 2024
Viewed by 1433
Abstract
The short-term (5 min) exposure to the supersonic flow of carbon dioxide plasma on ultrahigh-temperature ceramics of HfB2-30vol.%SiC composition has been studied. It was shown that, when established on the surface at a temperature of 1615–1655 °C, the beginning of the [...] Read more.
The short-term (5 min) exposure to the supersonic flow of carbon dioxide plasma on ultrahigh-temperature ceramics of HfB2-30vol.%SiC composition has been studied. It was shown that, when established on the surface at a temperature of 1615–1655 °C, the beginning of the formation of an oxidized layer takes place. Raman spectroscopy and scanning electron microscopy studies showed that the formation of a porous SiC-depleted region is not possible under the HfO2-SiO2 surface oxide layer. Numerical modeling based on the Navier–Stokes equations and experimental probe measurements of the test conditions were performed. The desirability of continuing systematic studies on the behavior of ultrahigh-temperature ZrB2/HfB2-SiC ceramics, including those doped with various components under the influence of high-enthalpy gas flows, was noted. Full article
Show Figures

Figure 1

Figure 1
<p>Sketch of the test configuration. 1—Mikron M700S spectral-ratio pyrometer, 2—AST Swift 350 PL brightness pyrometer, 3—Tandem VS-415U thermal imager, 4—KCl view port, 5—sonic nozzle, 6—induction coil, 7—sample holder. Note: graph is not to scale.</p>
Full article ">Figure 2
<p>Relative spectral sensitivity of the Tandem VS-415U thermal imager (manufacturer’s data).</p>
Full article ">Figure 3
<p>Distribution of the carbon dioxide plasma flow parameters in the VGU-4 facility’s cylindrical discharge channel (<math display="inline"><semantics> <mrow> <msub> <mi>D</mi> <mrow> <mi>d</mi> <mi>c</mi> </mrow> </msub> <mo>=</mo> <mn>80</mn> </mrow> </semantics></math> mm) and in the underexpanded jet emanating from the conical sonic nozzle with an outlet diameter of <math display="inline"><semantics> <mrow> <msub> <mi>D</mi> <mrow> <mi>n</mi> <mi>o</mi> <mi>z</mi> <mi>z</mi> <mi>l</mi> <mi>e</mi> </mrow> </msub> <mo>=</mo> <mn>30</mn> </mrow> </semantics></math> mm obtained for pressure in the test chamber <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>h</mi> </mrow> </msub> <mo>=</mo> <mn>870</mn> </mrow> </semantics></math> Pa, HF-generator anode power <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mrow> <mi>a</mi> <mi>p</mi> </mrow> </msub> <mo>=</mo> <mn>45</mn> </mrow> </semantics></math> kW and gas mass flow rate <math display="inline"><semantics> <mrow> <mi>G</mi> <mo>=</mo> <mn>2.4</mn> </mrow> </semantics></math> g/s. (<b>a</b>)—temperature (<span class="html-italic">T</span>), (<b>b</b>)—Mach number (<span class="html-italic">M</span>), (<b>c</b>)—pressure (<span class="html-italic">p</span>).</p>
Full article ">Figure 4
<p>Variation of the average surface temperature (<span class="html-italic">T</span>) of the HfB<sub>2</sub>-30% SiC ceramic material (according to spectral-ratio pyrometer data) when exposed to the supersonic flow of dissociated CO<sub>2</sub>, as well as data on the experimental parameters—anode supply power (<span class="html-italic">N</span>) and pressure in the plasmatron test chamber (<math display="inline"><semantics> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>h</mi> </mrow> </msub> </semantics></math>).</p>
Full article ">Figure 5
<p>Average spectral emissivities in the spectral ranges from 0.8 to 1.0 µm (<math display="inline"><semantics> <msub> <mi>ε</mi> <mrow> <mi>λ</mi> <mn>1</mn> </mrow> </msub> </semantics></math>) and from 2.0 to 2.6 µm (<math display="inline"><semantics> <msub> <mi>ε</mi> <mrow> <mi>λ</mi> <mn>2</mn> </mrow> </msub> </semantics></math>) evaluated by a comparison of the thermal imager (<math display="inline"><semantics> <msub> <mi>T</mi> <mrow> <mi>λ</mi> <mn>1</mn> </mrow> </msub> </semantics></math>) and brightness pyrometer (<math display="inline"><semantics> <msub> <mi>T</mi> <mrow> <mi>λ</mi> <mn>2</mn> </mrow> </msub> </semantics></math>) readings at the preset surface spectral emissivity (<math display="inline"><semantics> <mrow> <msub> <mi>ε</mi> <mi>λ</mi> </msub> <mo>=</mo> <mn>0.6</mn> </mrow> </semantics></math>) with the spectral-ratio pyrometer reference readings (<span class="html-italic">T</span>).</p>
Full article ">Figure 6
<p>Temperature distribution over the surface and diameter (centre inset) of a HfB<sub>2</sub>-30vol.%SiC ceramic sample at specific times during the test.</p>
Full article ">Figure 7
<p>X-ray diffraction patterns of the initial ceramic material HfB<sub>2</sub>-30vol.%SiC (<b>a</b>) and its surface after exposure to a supersonic flow of dissociated CO<sub>2</sub> (<b>b</b>).</p>
Full article ">Figure 8
<p>Microstructure (from SEM data) of the original (SE2-detector, (<b>a</b>,<b>b</b>)) and oxidized surface of a HfB<sub>2</sub>-30vol.%SiC ceramic sample after exposure to a supersonic flow of dissociated CO<sub>2</sub>: morphology (SE2-detector, (<b>c</b>,<b>e</b>,<b>g</b>)) and corresponding micrographs in the mean atomic number contrast mode (ESB-detector, (<b>d</b>,<b>f</b>,<b>h</b>)).</p>
Full article ">Figure 9
<p>Microstructure (based on SEM data) of a chipped HfB<sub>2</sub>-30vol%SiC ceramic sample after exposure to a supersonic flow of dissociated CO<sub>2</sub> (central region): morphology (SE2 detector, (<b>a</b>,<b>c</b>)) and corresponding micrographs in the average atomic number contrast mode (ESB detector, (<b>b</b>,<b>d</b>)).</p>
Full article ">Figure 10
<p>Mapping of Si, O, C * element distribution on the spall of HfB<sub>2</sub>-30vol.%SiC ceramic sample after exposure to supersonic flow of dissociated CO<sub>2</sub>; * data are approximate.</p>
Full article ">Figure 11
<p>Marking on the optical micrograph of the surface (point 1) and spall (points 2–4) of the oxidized HfB<sub>2</sub>-30vol.%SiC sample from which Raman spectra were recorded (<b>a</b>) and the corresponding spectra (<b>b</b>).</p>
Full article ">
16 pages, 2298 KiB  
Review
Recent Developments in the Use of Plasma in Medical Applications
by Fiona O’Neill, Liam O’Neill and Paula Bourke
Plasma 2024, 7(2), 284-299; https://doi.org/10.3390/plasma7020016 - 10 Apr 2024
Cited by 1 | Viewed by 1620
Abstract
A detailed review of the scientific literature was undertaken to examine the most recent developments in plasma processing in the field of medicine. The first part of the review includes a detailed breakdown of the different types of coatings that can be applied [...] Read more.
A detailed review of the scientific literature was undertaken to examine the most recent developments in plasma processing in the field of medicine. The first part of the review includes a detailed breakdown of the different types of coatings that can be applied onto medical devices using plasma, with a specific focus on antimicrobial surfaces. The developments in plasma-deposited biocompatibles, drug delivery and adhesive coatings in 2023 are described, and specific applications in additive manufacturing are highlighted. The use of plasma and plasma-activated liquids as standalone therapeutics continues to evolve, and pertinent advances in this field are described. In addition, the combination of plasma medicine with conventional pharmaceutical interventions is reviewed, and key emerging trends are highlighted, including the use of plasma to enhance drug delivery directly into tissue. The potential synergies between plasma medicine and chemotherapeutics for oncology and infection treatment are a growing area, and recent advancements are noted. Finally, the use of plasma to control excess antibiotics and to intentionally degrade such materials in waste streams is described. Full article
Show Figures

Figure 1

Figure 1
<p>Plasma pre-treatment to prime a surface for subsequent coating. Reprinted from [<a href="#B27-plasma-07-00016" class="html-bibr">27</a>].</p>
Full article ">Figure 2
<p>A typical experimental setup for the deposition of essential oils. Reprinted from [<a href="#B40-plasma-07-00016" class="html-bibr">40</a>].</p>
Full article ">Figure 3
<p>Plasma treatment of 3D-printed surfaces. The steps involve include (<b>a</b>) 3D printing of polymer scaffold; (<b>b</b>) Plasma activation inside the porous scaffolds and (<b>c</b>) Covalent immobilisation of a coating such as FGF2 onto the activated scaffolds. Reprinted from [<a href="#B65-plasma-07-00016" class="html-bibr">65</a>] with permission from Elsevier.</p>
Full article ">Figure 4
<p>Image of plasma discharge (<b>A</b>) and chemical structure of the oncology drug Tirapazamine (<b>B</b>). Reprinted from [<a href="#B104-plasma-07-00016" class="html-bibr">104</a>].</p>
Full article ">Figure 5
<p>Graphical representation of the use of plasma to remove antibiotics from wastewater. Reprinted from [<a href="#B143-plasma-07-00016" class="html-bibr">143</a>] with permission from Elsevier.</p>
Full article ">
Previous Issue
Next Issue
Back to TopTop