Carbide Nitride Research Articles

Effect of Hybrid Addition of Boron Nitride and Vanadium Carbide on Microstructure, Tribological, and Mechanical Properties of the AA6061 Al-Based Composites Fabricated by FSP

This work investigates the impact of friction stir processing (FSP) on the microstructure and mechanical characteristics of AA 6061 alloy and its composites, which are strengthened with boron nitride nanoparticles and vanadium carbide microparticles. Composite samples were created using different proportions of reinforcing particles, including mono and hybrid composites. The efficacy of FSP as a technological method for enhancing the grain size of AA 6061 alloy and its composites has been proven. Adding reinforcing particles led to enhanced grain refinement, especially when using VC particles, which demonstrated greater efficacy than BN particles; thus, mono composite AA6061/VC shows the highest percentage reduction (94.29%) in grain size. Hybrid composites with a higher concentration of VC particles exhibited a more symmetrical microhardness profile. The microhardness of hybrid composites with a larger concentration of VC particles (40 vol.%BN + 60 vol.%VC) shows the most significant enhancement, with an increase of 51.61%. The Young’s and shear modulus of all composite samples processed by (FSP) had greater values than the wrought AA 6061 alloy. The investigated composite samples, especially 60% BN and 40% VC, enhanced the tribological properties of AA6061 and reduced the wear rate by about 52%. The observed characteristics may be due to BN and VC particles in the hybrid compost. This is because these particles effectively prevent grain elongation and inconsistent movement. This is because reinforcing particles can be tailored to have specific properties for specific applications.

Bimetallic organic framework derived Co-MoxN/Mo2C catalyst for HER/OER bifunctional electrocatalytic reaction

Metal organic frameworks (MOFs) are widely used as precursors due to their tunable morphology and high specific surface area. Molybdenum nitride (MoN) and molybdenum carbide (Mo2C) are promising catalyst materials with electronic structures similar to the noble metal platinum. However, the preparation and modification of the composite systems comprising MoN and Mo2C are complex, often leading to significant agglomeration and limiting their application in various catalytic fields. In this work, we designed and developed a novel bimetallic Co-MOFs-Mo with a stable and unique framework morphology. By varying the organic ligand content, we controlled the morphology and enhanced the intrinsic electrocatalytic activity through Mo doping. Using the Co-MOFs-Mo sample as the Co source, we fabricated a Co-MoxN/Mo2C catalytic material with a special framework structure. Compared to Mo2N and Mo2N/Mo2C, this catalyst exhibits a larger specific surface area and superior performance in both hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). The Co-MoxN/Mo2C catalyst achieves an HER overpotential of 297 mV at a current density of 10 mA·cm−2 and an OER overpotential of 480 mV at 20 mA·cm−2. This research provides valuable insights into the rational design of molybdenum-based noble-metal-free catalyst materials.

Osteoblast Growth in Quaternized Silicon Carbon Nitride Coatings for Dental Implants.

The demand for dental implants has increased, establishing them as the standard of care for replacing missing teeth. Several factors contribute to the success or failure of an implant post-placement. Modifications to implant surfaces can enhance the biological interactions between bone cells and the implant, promoting better outcomes. Surface coatings have been developed to electrochemically alter implant surfaces, aiming to reduce healing time, enhance bone growth, and prevent bacterial adhesion. Quaternized silicon carbon nitride (QSiCN) is a novel material with unique electrochemical and biological properties. This study aimed to assess the influence of QSiCN, silicon carbide nitride (SiCN), and silicon carbide (SiC) coatings on the viability of osteoblast cells on nanostructured titanium surfaces. The experiment utilized thirty-two titanium sheets with anodized TiO2 nanotubes featuring nanotube diameters of 50 nm and 150 nm. These sheets were divided into eight groups (n = 4): QSiCN-coated 50 nm, QSiCN-coated 150 nm, SiCN-coated 50 nm, SiCN-coated 150 nm, SiC-coated 50 nm, SiC-coated 150 nm, non-coated 50 nm, and non-coated 150 nm. Preosteoblast MC3T3-E1 Subclone 4 cells (ATCC, USA) were used to evaluate osteoblast viability. After three days of cell growth, samples were assessed using scanning electron microscopy (SEM). The results indicated that QSiCN coatings significantly increased osteoblast proliferation (p < 0.005) compared to other groups. The enhanced cell adhesion observed with QSiCN coatings is likely due to the positive surface charge imparted by N+.

The non-destructive control of mechanical properties of ceramics on the silicon nitride and silicon carbide based by acoustic emission method

The acoustic emission (AE) in reaction bonded SiC and Si3N4 ceramics and hot pressed Si3N4+TiN composites were investigated during the bending tests. A clear correlation between some AE parameters and specimen strength was established for all materials. Two methods for non-destructive control of materials strength have been proposed. High accuracy of control (error not more than 3%) in comparison with traditional estimation by sample average (error of 15% and higher) was observed.

Enhanced PMMA Denture Bases Using Functionalized MWCNT Fused g-C3N4 Nanocomposites

This study presents the development and analysis of a new metal-free nanocomposite that incorporates functionalized multi-walled carbon nanotubes (f-MWCNTs) with graphitic carbon nitride (g-C3N4) for reinforcing polymethyl methacrylate (PMMA) denture bases. The f-MWCNTs were integrated with g-C3N4 nanoparticles, and their structural and morphological features were examined using various techniques, including X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), high-resolution transmission electron microscopy (HR-TEM), Fourier-transform infrared spectroscopy (FT-IR), and Raman spectroscopy. A mechanical blending process was employed to synthesize the nanocomposite by mixing 2 wt% of the f-MWCNT/g-C3N4 with PMMA polymer powder, followed by heat curing to form the composite material. Specimens for mechanical testing were crafted to measure flexural strength, impact resistance, compressive performance, and hardness. The findings revealed that the f-MWCNT/g-C3N4-reinforced PMMA composites outperformed standard PMMA in mechanical robustness. Surface examination of the tested samples through SEM showed distinctive dimpling and roughness, indicating a toughened fracture surface in comparison to pure PMMA and g-C3N4 samples. The study concludes that this innovative f-MWCNT/g-C3N4 composite is a promising reinforcement for PMMA denture bases, enhancing both their mechanical and physical attributes.Keywords: PMMA, functionalization, MWCNTs, Graphitic Carbide Nitride, Mechanical Properties and Denture Base

Investigations on the processing of ceramic materials using Fused Filament Fabrication

This paper represents the current status of the investigation into the processing of ceramic components, using Fused Filament Fabrication (“FFF”). The process chain, beginning from the additive manufacturing (“AM”), through the post processing, the debinding and sintering procedure, to the finished part is described. The examined materials are silicon nitride (Si3N4) and silicon carbide (SSiC), prepared by the company SiCeram/Qsil. Furthermore, comprehensive investigations on the materials are done, both in the green and in the sintered state. In addition, sources of occurring problems and defects in the process chain are pointed out and possible solutions are shown. Finally, the current status of investigations, regarding to the transfer into the industry, is discussed.

Density Functional Theory Studies on Boron Nitride and Silicon Carbide Nanoclusters Functionalized with Amino Acids for Organophosphorus Pesticide Adsorption

This study compares the properties of B12N12 and Si12C12 nanoclusters functionalized with tyrosine in the adsorption of organophosphorus pesticides, focusing on adsorption energy and electronic stability. The results indicate that B12N12/tyrosine exhibits more negative adsorption energies than Si12C12/tyrosine, suggesting stronger interactions and higher adsorption stability. Additionally, B12N12 demonstrates higher ionization energy and chemical hardness, enhancing its electronic stability during the adsorption process. In contrast, Si12C12 has higher electrophilicity and maximum electron transfer capacity, leading to greater variability in adsorption energy and more flexible electronic structure adjustments. These findings suggest that B12N12 nanoclusters have greater potential and application value as adsorption materials, particularly when modified with tyrosine. B12N12/tyrosine demonstrates higher stability and predictability in pesticide adsorption, making it more suitable for related applications.

STUDY OF THE PERFORMANCE OF PLUNGER PUMP VALVES OPERATED IN AGGRESSIVE ENVIRONMENTS

Reciprocating plunger pumps are crucial for various industrial sectors, including chemical processing, well cementing, oil and gas production, and wastewater management. These pumps play a vital role in handling a range of fluids, making them indispensable for maintaining efficient and reliable operations in these demanding applications. These environments often involve handling aggressive fluids that can cause significant wear and corrosion to pump components, particularly the valves. Selection the right materials for valve manufacturing is essential to maintain the reliability, performance, and durability of plunger pumps operating in harsh environments. This ensures that the pumps can withstand extreme conditions while maintaining their efficiency over time. This research offers an in-depth review of the materials typically used for manufacturing plunger pump valves, with a focus on their performance in demanding environments. The research highlights the importance of material properties such as wear resistance, corrosion resistance, hardness, and mechanical strength. It evaluates various materials, including cast polyurethane, industrial ceramics such as silicon nitride and silicon carbide, and advanced coating techniques with nickel, chromium, and ceramic layers, to determine their effectiveness in harsh environments. Cast polyurethane is recognized as an optimal material due to its superior physical and mechanical properties, minimal shrinkage, and excellent chemical resistance. It excels in managing abrasive media and high-viscosity fluids, making it highly suitable for diverse industrial applications. Industrial ceramics, such as silicon nitride and silicon carbide, are distinguished by their ability to withstand high temperatures, resist corrosion, and offer low friction coefficients. Materials like silicon nitride and silicon carbide demonstrate exceptional performance in conditions where traditional metals and polymers fail. Moreover, applying advanced coatings, such as nickel-chromium-ceramic layers, to steel components significantly improves the durability and corrosion resistance of plunger rods and other critical parts. Keywords: plunger pump valves, aggressive environments, operational efficiency, material selection.

Characteristics of Si (C,N) Silicon Carbonitride Layers on the Surface of Ni-Cr Alloys Used in Dental Prosthetics.

Chromium- and cobalt-based alloys, as well as chrome-nickel steels, are most used in dental prosthetics. Unfortunately, these alloys, especially nickel-based alloys, can cause allergic reactions. A disadvantage of these alloys is also insufficient corrosion resistance. To improve the properties of these alloys, amorphous Si (C,N) coatings were deposited on the surfaces of metal specimens. This paper characterizes coatings of silicon carbide nitrides, deposited by the magnetron sputtering method on the surface of nickel-chromium alloys used in dental prosthetics. Depending on the deposition parameters, coatings with varying carbon to nitrogen ratios were obtained. The study analyzed their structure and chemical and phase composition. In addition, a study of surface wettability and surface roughness was performed. Based on the results obtained, it was found that amorphous coatings of Si (C,N) type with thicknesses of 2 to 4.5 µm were obtained. All obtained coatings increase the value of surface free energy. The study showed that Si (C,N)-type films can be used in dental prosthetics as protective coatings.

Role of Longitudinal Temperature Gradients in Eliminating Interleaving Inclusions in Casting of Monocrystalline Silicon Ingots

Infrared analysis reveals the presence of interwoven inclusions, primarily comprised of silicon nitride and silicon carbide, in the casting process of monocrystalline silicon ingots. This study investigates how the longitudinal temperature gradient affects the removal of inclusions during the casting of monocrystalline silicon ingots through simulations and comparative experiments. Two monocrystalline silicon ingots were cast, each using different longitudinal temperature gradients: one employing smaller gradients and the other conventional gradients. CGSim (Version Basic CGSim 23.1) simulation software was utilized to analyze the melt flow and temperature distribution during the growth process of quasi–monocrystalline silicon ingots. The findings indicate that smaller longitudinal temperature gradients lead to a more robust upward flow of molten silicon at the solid–liquid interface, effectively carrying impurities away from this interface and preventing their inclusion formation. Analysis of experimental photoluminescence and IR results reveals that although inclusions may not be observed, impurities persist but are gradually displaced to the top of the silicon melt through a stable growth process.

Unified predictive modeling of supercontinuum spectra: Using multi-material data with Closed-Form Continuous Time Neural Networks

This paper explores the application of the Closed-Form Continuous-Time Neural Networks (CfC) model in predicting supercontinuum spectra in a unified dataset of various core materials in a planar waveguide. Through numerical simulations and dataset generation, the study constructs a robust model capable of accurately predicting spectral behavior under different conditions and material variation. Initially, the unified dataset comprises spectral data for three materials: Silicon Nitride (Si3N4), Lithium Niobate (LiNbO3), and Silicon Carbide (SiC). The CfC model demonstrates remarkable accuracy in capturing spectral nuances and exhibits a minimal Mean Squared Error (MSE) loss value of 7.2537×10−4. Subsequently, the dataset is expanded to include Tantalum Pentoxide (Ta2O5), introducing a fourth material for evaluation. The inclusion of Ta2O5 data further validates the model’s scalability and generalization capabilities with Mean Squared Error (MSE) loss value of 6.7894×10−4. The advantage of the CfC model in precisely predicting supercontinuum spectra while retaining computational efficiency is demonstrated by comparisons with conventional methods. The CfC model is a viable tool for enhancing predictive modeling in photonics research because of its scalability and generalization characteristics. This will pave the way for future developments in deep learning techniques for optical device optimization.

Conversion of ammonia to hydrogen in the microwave reactor system using Mo@Alumina catalysts with the promotion of rare-earth and alkaline earth elements

In this study, microwave assisted ammonia decomposition reaction to produce high purity hydrogen over γ-Al2O3 supported molybdenum based catalysts were investigated and the effects of various promoters, rare-earth (lanthanum, cerium) and alkaline-earth (calcium and barium) elements on the catalytic activity were studied. Ammonia conversions of over 94 % were obtained over the unpromoted catalysts above 350 °C at a flow rate of 60 ml/min of pure ammonia. The overall hydrogen production rate per gram of catalyst was found to be 72.86 mmol/min.gcat with for 30 wt% Mo loaded unpromoted catalyst at 350 °C. The apparent activation energy (Ea) values for these catalysts were found to be around 85 kJ/mol. Among the promoters, Ba and Ce gave better performance below 350 °C than Ca and La and the optimum loading was found to be 4 wt% for them. Neither molybdenum nitride nor molybdenum carbide were detected in the spent form of the catalysts.

In-situ controllable hybridization of CuFeS2-ternary transition metal sulfide with boron carbide nitride toward enhanced antibiotics adsorption

Ternary transition metal sulfide (TTMS) contains numerous metal active sites, rendering promising adsorbents. However, a challenging problem in their further applicability is how to expand the available active surfaces which hindered by aggregation. Here, a novel strategy of engineering hybridization of CuFeS2 with boron carbide nitride (BCN) nanosheets was proposed vis an in-situ facile controlled hydrothermal process. An improved specific surface area of approximate 6.24 times enlargement was achieved for TTMS of CuFeS2 under the uniformly dispersion effect of BCN nanosheets. Meanwhile, the fabrication of nanocomposites CuFeS2-BCN significantly enhanced the adsorption affinities including hydrogen bonding, π-π interactions, metal-complexation and electrostatic interactions, thereby resulting in an amazing elimination capacity of 90.72% which respectively 25% and 368% growth toward pristine CuFeS2 and BCN for antibiotic contaminant of chlortetracycline (CTC). Systematic adsorption studies of adsorption kinetics, isotherms, and thermodynamics revealed that the adsorption process of CuFeS2-BCN-0.1 to CTC was spontaneous and endothermic, and followed the pseudo-second-order kinetics and Langmuir isotherm models. The maximum Langmuir adsorption capacity was super high and up to 1166.31 mg/g, which was superior to the majority of the reported adsorbents. In addition, it is also worth emphasizing that the nanocomposites of CuFeS2-BCN-0.1 possessed satisfactory selectivity, stability and adaptability to many tetracycline antibiotics in multicomponent solution under diverse pH environments. All of these findings presented that the proposed advanced adsorbent of CuFeS2-BCN-0.1 displayed great promising application potential in the treatment of antibiotic contamination wastewater.

DFT study of energetics and optoelectronics properties of B, C, and N binary and ternary honeycomb structures

Using the Full Potential Linear Augmented Plane Wave and the pseudo-potential method based on the Density Functional Theory, we investigate the physical properties of two-dimensional (2D) boron nitride, carbon nitride, and boron carbide as well as their ternary system boron carbon nitride (BCN). The structural and optoelectronic properties are determined and discussed in detail with available theoretical and experimental results. We show that the studied physical properties are influenced and tunable by atom concentration. A high concentration of nitrogen (&amp;gt; 50%) disturbs the honeycomb structure of binary and ternary alloys. Additionally, the optoelectronic properties are very sensitive to the amount of boron and nitrogen atoms. The zero bandgap is only conserved for B3C12N3 and B6C6N6 ternary systems. A large bandgap was observed for B9N9 (∼3.9 eV) and a moderate one for B6N12 and B3N15 (∼2 eV). The coexistence of boron, carbon, and nitrogen atoms with different concentrations has important optical properties as they can absorb light in all spectra. However, they have more active absorption in the ultraviolet than visible regions. It is more interesting to use ternary BCN than binary or pristine alloys with tunable optoelectric properties, by varying the nitrogen content in nanodevices.

Cradle-to-Gate Life Cycle Assessment (LCA) of GaN Power Semiconductor Device

Wide Band Gap (WBG) semiconductors have the potential to provide significant improvements in energy efficiency over conventional silicon (Si) semiconductors. While the potential for energy efficiency gains is widely researched, the relation to the energy and resource use during manufacturing processes remains insufficiently studied. In order to appraise the performance of the technology thoroughly, issues such as raw material scarcity, toxicity and environmental impacts need to be investigated in detail. However, sparse Life Cycle Assessment (LCA) data are available for the two currently most widespread WBG semiconductor materials, gallium nitride (GaN or GaN/Si) and silicon carbide (SiC). This paper, for the first time, presents a cradle-to-gate life cycle assessment for a GaN/Si power device. To allow for a full range of indicators, life cycle assessment method EF 3.1 was used to analyze the results. The results identify environmental hotspots associated with different materials and processes: electricity consumption for the processes and clean room facilities, direct emissions of greenhouse gases, gold (when used), and volatile organic chemicals. Finally, we compare this result with publicly available data for Si, GaN and SiC power devices.

Effect of BN or B4C content on physical and tribological properties of copper‐clad laminates reinforced with carbon fiber and epoxy resin

AbstractPlasma treatment was used to improve the surface roughness of copper foil. The copper‐clad laminates reinforced with carbon fiber, boron nitride (BN), or boron carbide (B4C), and epoxy resin were prepared by hot pressing. The effect of BN or B4C content on the physical properties and tribological properties of copper‐clad laminates reinforced with carbon fiber and epoxy resin were studied. The resulting copper‐clad laminate exhibited desirable properties, such as dielectric constant, peel strength, oxygen index, and arc resistance, which were influenced by the concentration of BN or B4C particles. Additionally, the wear and friction properties of the laminate were evaluated, revealing the effects of load, sliding speed, and particle content on weight loss, specific wear rate, and coefficient of friction. SEM analysis of worn surfaces provided insight into the stages of wear, highlighting the importance of an oxide layer in reducing wear and protecting the copper surface.

Experimental tribological and mechanical behavior of aluminium alloy 6061 composites incorporated ceramic particulates using Taguchi analysis

Aluminium metal-matrix composites are broadly employed in industries like aerospace, marine, automobile-sector, and many others, generating a broad research interest. They are preferred for their high strength and low wear rate. This research work is mainly directed towards the fabrication of two types of metal-matrix composite materials using aluminium-alloy 6061(AA6061) as the matrix material and incorporating aluminium oxide (Al2O3), aluminium nitride (AlN), and silicon carbide (SiC) as a reinforcement material. AA6061 has been reinforced with Al2O3 and SiC particulates in AS series composites, while AA series composites, AA6061 has been reinforced with Al2O3 and AlN particulates. This hybrid metal composite was constructed using the stir-casting method. These hybrid composites have been investigated for their physical and mechanical characteristics, viz. density, hardness, impact strength, void content, flexural strength, and tensile strength following the ASTM standards. Tribological characteristics of these hybrid composites were performed by Pin-on-disc (POD) tribometer. Taguchi’s design of experimental technique was applied taking four factors viz. composition, sliding-velocity (SV), sliding-distance (SD), and load, and each having 4 levels. ANOVA was employed to find out meaningful parameters. SEM analysis of worn-surface was executed to find out the dominant wear mechanism. Experimental density was highest for AS42, and AA42 composites and void content were lowest for the same. Mechanical properties viz. density, hardness, impact strength, void content, flexural strength, and tensile strength were higher than the base alloy. From the response table of Taguchi analysis of AS and AA composite, the load factor significantly impacted the specific wear rate (SWR) to follow filler content (FC). It can be followed from the ANOVA table for AS composite that the load factor had a magnificent impact on the SWR. The SV and SD show no significant effect on SWR.

Fuel Performance Comparison of Uranium Nitride and Uranium Carbide in VVER-1200 using OpenMC

Nuclear power is a reliable and large-scale source of GHG-free electricity. This study asses the viability of ATF fuel of uranium nitride (UN) and uranium carbide (UC) as fuel for the VVER-1200 reactor. A comprehensive overview of the VVER-1200 and Accident Tolerant fuels is conducted. A review of the development of ATFs identified UN and UC as viable fuels for the VVER reactor. The study utilizes OpenMC to model the VVER-1200 core and compares the behaviour of ATF with conventional fuel. Key findings include comparable k-eff values implying similar neutronic behaviour. UO2 and UC showed similar fission rates across the core while UN showed higher neutron flux and fission rate in the outer part of the core. The base Z44B2 showed increased flux and fission rate with UN as the fuel. ATF behaviour showed to be comparable to the UO2 and thus is a potential alternative to conventional fuels. ATFs provide an additional level of safety because of higher melting points and higher thermal conductivity. This study can be further improved to investigate the depletion of ATFs so that the behaviours of the core over large periods of time, fission products and operator safety can be assessed. Base case k-eff value of 1.24795 are comparable to k-eff values generated by UN and UC.

Unravelling performance of honeycomb structures as drug delivery systems for the isoniazid drug using DFT-D3 correction dispersion and molecular dynamic simulations.

In this study, the potential of aluminum nitride (h-AlN), boron nitride (h-BN) and silicon carbide (h-SiC) nanosheets as the drug delivery systems (DDS) of isoniazid (INH) was scrutinized through density functional theory (DFT) and molecular dynamic (MD) simulations. We performed DFT periodic calculations on the geometry and electronic features of nanosheets adsorbed with INH by the DFT functional (DZP/GGA-PBE) employed in the SIESTA code. In the energetically favorable model, an oxygen atom of the C-O group of the INH molecule interacts with a Si atom of the h-SiC at 2.077 Å with an interaction energy of -1.361 eV. Charge transfer (CT) calculation by employing the Mulliken, Hirshfeld and Voronoi approaches reveals that the monolayers and drug molecules act as donors and acceptors, respectively. The density of states (DOS) calculations indicate that the HOMO-LUMO energy gap (HLG) of the h-SiC nanosheet declines significantly from 2.543 to 1.492 eV upon the adsorption of the INH molecule, which causes an electrical conductivity increase and then produces an electrical signal. The signal is linked to the existence of INH, demonstrating that h-SiC may be an appropriate sensor for INH sensing. The decrease in HLG for the interaction of INH and h-SiC is the uppermost (up to 41%) representing the uppermost sensitivity, whereas the sensitivity trend is σ(h-SiC) > σ(h-AlN) > σ(h-BN). Quantum theory of atoms in molecules (QTAIM) investigations is employed to scrutinize the nature of the INH/nanosheet interactions. The QTAIM analysis reveals that the interaction of the INH molecule and h-SiC has a partially covalent nature, while INH/h-AlN model electrostatic interaction occurs in the system and noncovalent and electrostatic interaction for the INH/h-BN model. Finally, the state-of-the-art DFT-MD simulations utilized in this study can mimic ambient conditions. The results obtained from the MD simulation show that it takes more time to bond the INH drug and h-SiC, and the INH/h-SiC system becomes stable. The results of the current research demonstrate the potential of h-SiC as a suitable sensor and drug delivery platform for INH drugs to remedy tuberculosis.

Numerical Simulation of Plasma Plume With an Insulated Wall in Sheath Region Using a DSMC‐PIC Parallel Algorithm

The spatiotemporal evolution of plasma plumes is accompanied by various phenomena such as chemical reactions, sheath layer formation, and secondary electron emission, which have a crucial impact on the working characteristics and performance improvement of plasma devices. This study uses a direct simulation Monte Carlo/particle‐in‐cell (DSMC/PIC) parallel coupling algorithm for numerical simulations, with the PIC method using full particle simulations. The main focus of the study is to explore, through numerical simulations, the effects of the initial injection density, electron temperature, and charge exchange reactions. Two energy spectrum models are used for secondary electron emission, namely, the Furman model and the vertical model. The modified Mozorov coefficient model simulates two types of insulation wall materials: boron nitride and silicon carbide. The spatiotemporal evolution of H2, H, X, H2+, H+, and e in the flow field is demonstrated by simulating a double cylindrical axisymmetric calculation example. This paper provides a detailed analysis of the structural characteristics of number‐density cloud images under different initial conditions. Increasing the injection density enhances the radial electric field and results in a low‐density region of ion distributions. Furthermore, the electron temperature increases the deposition of wall charges. Lastly, the charge exchange reaction has a weak effect on the specific distribution of particles in the convection field.