Computational Fluid Dynamics Techniques Research Articles

CFD based design gas rotameters: Dynamic mesh transient simulation

Rotameters are variable-area flowmeters widely used in various industries. In this paper, a comprehensive discussion has been presented on simulation of transient behavior of a rotameter using Computational Fluid Dynamics (CFD) technique. Various methods of dynamic meshing and the reasons behind choosing the diffusion-based model have been discussed. 2D and 3D simulations were compared, and in the 2D simulation, triangular and quadratic meshes were compared, and their orthogonal quality changes due to dynamic mesh methods are shown. It was illustrated that triangular mesh cells preserve their orthogonal quality far more effectively. Moreover, the CFD simulation results were validated by comparing them with experimental data obtained from a real rotameter and it was found that the 3D simulation results are more consistent with experimental data than the 2D simulation results. A difference of less than 4% has been observed between the simulation and experimental results, indicating a reasonable agreement. The CFD solver configuration and simulation steps presented in this paper can be used to optimize rotameter designs and improve their performance. Additionally, the simulation results can provide valuable insights into the behavior of the rotameter, allowing designers to identify the potential areas for improvement and optimization of the design, accordingly.

FEM and CFD thermal modeling of an axial-flux induction machine with experimental validation

Axial-flux electrical machines are ideal candidates as in-wheel motors for electrical vehicles (EVs). Due to their characteristics of high power density and compact structure, thermal management is vital for them. Lowering the temperature of the stator windings can protect the insulation material from rapid degradation and reduce the extra copper losses by decreasing their electrical resistance. Contrary to the widely reported axial-flux permanent magnet synchronous machines, thermal modeling methods of axial-flux induction machines are rarely seen in previous literature. Hence, the present work aims at investigating their thermal response based on both the finite element method (FEM) and computational fluid dynamics (CFD) techniques. In addition, a test rig is built to validate the computed results of these two thermal models with the experimental measurement. The CFD conjugate heat transfer analysis is found to be more accurate than the FEM thermal analysis in predicting the temperature distribution of different components in the machine and the temperature rise of the airflow, with lower than 5 ∘C average errors deviating from the corresponding measured data at three rotation speeds. Additionally, the CFD simulation is able to capture the backflow occurring near the outlets of the casing that has been found during the experiments.

Numerical Study on Single Turn Pulsating Heat Pipe with Additional Branch Configuration

The simple wickless structure and strong heat transfer potential of pulsating heat pipes (PHP) have prompted widespread interest in transferring heat from electronic devices. This work proposes a novel single-turn PHP with convergent and divergent shaped additional branches (ABs) (C-PHP and D-PHP) in the evaporator section, which could increase latent heat transfer in the evaporator by minimizing the saturation temperature and improving the unidirectional flow and thermal performance of PHP. Numerical simulations were performed using computational fluid dynamics (CFD) techniques to understand the thermo-hydrodynamics and properties of the proposed novel PHPs. This study provides the outcomes of novel PHPs and a comparison with the performance of traditional PHP (T-PHP) without AB and straight AB PHP (S-PHP). The results demonstrated that the startup time of novel C-PHP and D-PHP were improved by 32.6% and 22.4%, respectively, compared to the T-PHP, “stopovers” and “local flow reversals” are minimized by the use of AB. The average flow velocity of novel C-PHP and D-PHP was improved by 16% when compared to T-PHP and 11.4% compared to S-PHP, the directional component in C-PHP is substantially stronger than S-PHP and D-PHP.

Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine.

In recent years, nanomedicines prepared using supercritical technology have garnered widespread research attention due to their inherent attributes, including structural stability, high bioavailability, and commendable safety profiles. The preparation of these nanomedicines relies upon drug solubility and mixing efficiency within supercritical fluids (SCFs). Solubility is closely intertwined with operational parameters such as temperature and pressure while mixing efficiency is influenced not only by operational conditions but also by the shape and dimensions of the nozzle. Due to the special conditions of supercriticality, these parameters are difficult to measure directly, thus presenting significant challenges for the preparation and optimization of nanomedicines. Mathematical models can, to a certain extent, prognosticate solubility, while simulation models can visualize mixing efficiency during experimental procedures, offering novel avenues for advancing supercritical nanomedicines. Consequently, within the framework of this endeavor, we embark on an extensive review encompassing the application of mathematical models, artificial intelligence (AI) methodologies, and computational fluid dynamics (CFD) techniques within the medical domain of supercritical technology. We undertake the synthesis and discourse of methodologies for calculating drug solubility in SCFs, as well as the influence of operational conditions and experimental apparatus upon the outcomes of nanomedicine preparation using supercritical technology. Through this comprehensive review, we elucidate the implementation procedures and commonly employed models of diverse methodologies, juxtaposing the merits and demerits of these models. Furthermore, we assert the dependability of employing models to compute drug solubility in SCFs and simulate the experimental processes, with the capability to serve as valuable tools for aiding and optimizing experiments, as well as providing guidance in the selection of appropriate operational conditions. This, in turn, fosters innovative avenues for the development of supercritical pharmaceuticals.

Trajectory simulation of 3D-printed container models based on CFD

Subsea pipelines are a cost-effective and reliable way to transport hydrocarbons in offshore oil and gas development. However, dropped objects can pose a hazard and cause damage to the pipes. Among them, the container is a relatively common structure in maritime transportation, and its falling process is likely to cause potential danger. In this paper, computational fluid dynamics (CFD) is used to calculate the relevant hydrodynamic coefficients of the different container models at different drop angles. This study validates the CFD-derived results by comparing drop test results with CFD simulation results, including the total flow time, landing location, and number of spatial flips, etc. In addition, the consistency between the simulated added mass coefficient (Ca) & drag coefficient (Cd) and the reference values of DNV-RP-F107 (2010) also demonstrates the reliability and precision of the CFD technique. The results show that the agreement between CFD-simulated Ca and the values provided by DNV-RP-F107 (2010) as well as the theoretical values outlined by Clauss et al. (1992) validates the precision of CFD simulation.

An RSM approach to optimize the thermal performance of novel type vortex generators

In this study, a comparative analysis of crimp degree (α), attack angle (β), and pitch (Pt) optimization variables is performed for the novel type vortex generator (NTVG) structure. The central composite design is used to the computational fluid dynamics (CFD) technique for thermal performance optimization.The results of response surface analysis indicate that small β, proper α, and Pt contribute to the improvement of the heat transfer performance, while the flow loss decreases as they increase. According to the RSM approach combined with the particle swarm algorithm, the heat transfer performance of NTVGs is enhanced by 19%, the friction factor is improved by 30%, and the thermal performance factor is increased to 109.1%. The CFD analysis shows that the strength of the inner vortex around the optimized NTVG structure is weakened by the reduced flow impingement, resulting in a considerable reduction in the friction factor with the maintenance of heat transfer.

Spacing effects on blast loading characteristics of two tandem square columns under planar shock waves

To effectively evaluate the structural responses, it is crucial to possess relevant knowledge regarding the blast load on the structure. The loading characteristics of two columns differ from those of a single column due to complex flow-field interference. The spacing effect on blast loading characteristics of two tandem rigid square columns is examined numerically and experimentally for different center spacing between the columns (L = 1.2B–12B, where B represents the side length of a column). This includes studying drag characteristics, distribution patterns of reflection overpressure and impulse, and understanding the physical mechanism under blast load. The experimental tests use a shock tube device powered by high-pressure gas, while numerical simulations solve Euler equations using computational fluid dynamics techniques. Our findings reveal that spacing cases can be categorized into four situations: small and medium spacings (L/B = 1.2–2 and 2.5–4), where the upstream column exhibits a significant shielding effect on the downstream column, resulting in the reduced drag coefficient for the downstream column; large spacings (L/B = 5–7), where drag coefficient improves but remains lower than that of a single column; superlarge spacings with negligible shielding effect (L/B = 8–12), leading to similar blast loading for the downstream column compared to a single column.

Modelling of thermal plasma-assisted carbon tetrafluoride abatement

This study focuses on the numerical modelling of the decomposition process of carbon tetrafluoride (CF4, Freon R-14), the most stable perfluorinated gas with a significant global warming potential, as experimentally carried out using a thermal argon/steam plasma in a plasma-chemical reactor. The numerical modelling approach incorporates advanced computational fluid dynamics (CFD) techniques and the kinetics of a complex chemical reaction mechanism. A two-dimensional axisymmetric model, incorporating the conservation of mass, momentum, energy and chemical balances, has been developed to simulate the species distribution under the assumption of steady flow, including turbulence effects. In order to compare the species distributions and destruction efficiencies, two chemical reaction mechanism models of different complexity were implemented: a simplified model A with 196 reactions and a model B with 258 reactions. The simulations were performed for plasma generated by steam and argon stabilized DC plasma torch under three operating conditions for arc currents of 120, 150 and 200 A. The destruction and removal efficiency (DRE) of CF4 decomposition at a high feed rate was computed by both models, with an error of less than 6% compared to the experimental data. It can be concluded that both models accurately predict the residual CF4 concentration trends depending on the feed per input torch power. While model A overestimates process efficiency, model B, with a more balanced reaction mechanism, more closely aligns with experimental results. Model B provides an accurate prediction of the DRE and captures trends as a function of input parameters. Importantly and innovatively, the model presented in this study, unlike previous models, allows for the first time the inclusion of both high concentrations and a sufficiently large reaction mechanism for CF4 abatement. This model presents a novel opportunity to perform trend simulations of operating characteristics for the CF4 abatement problem at a quantitative level, allowing experimental design to be evaluated and optimised.

Investigating the influence of 3D building models on pedestrian wind comfort through wind computational fluid dynamics analysis

Wind flow plays a crucial role in determining pedestrian comfortability in the surrounding environment. However, the shape and detailing of buildings, as well as the angle of the wind, can manipulate the wind flow patterns and velocity. Different urbanized areas have different building shapes and detailing, which can lead to diverse wind flow patterns and velocities, affecting pedestrian wind comfort (PWC). This study utilized wind Computational Fluid Dynamics (CFD) technique to investigate the influence of building models on wind velocity and its impact on PWC. The CFD simulation integrated with a 3D urbanized building model provided wind velocity values throughout the study area, which were used to analyze wind comfort at 1.75m elevation based on Beaufort wind force criteria. The study found that diverse effects due to different building detailing were observed, leading to multiple flow patterns and changes in wind velocity. The downstream building recorded a lower velocity value than the upstream building mainly because of wind flow separation from the building frontal. Wind comfort levels were represented using the Beaufort wind force scale (BWS), and all values fell in level 2 and 3, indicating good wind comfort level because of the BWS ≤ 3. This study highlights the significance of building models in determining wind flow patterns and velocity, which ultimately impacts PWC. Despite the study area involving multiple buildings with different shapes and detailing, the wind comfort levels were found to be suitable for pedestrians.

Concept of Computational Fluid Dynamics Design and Analysis Tool for Food Industry: A Bibliometric

Technology that is currently in demand is CFD. By simulating fluid flow around a product on a computer, the computational fluid dynamics (CFD) technique allows designers of new products to be tested. This research aims to analyze the bibliometrics of CFD publications as a design tool in the food industry to determine concepts, trends, and contributions of previous research. Computational Fluid Dynamics (CFD) is a technology used to test product designs through computer simulations of fluid flow around the product. The use of technology in various industries, such as the food industry, is essential to create better products or services. This research uses a bibliometric analysis method supported by theoretical analysis. This research consists of 5 steps, namely (i) determining the research theme for formulating keywords, (ii) collecting publication documents, (iii) data processing, (iv) bibliometric analysis, and (v) preparing a report. The keywords used in this research are "Computational Fluid Dynamics Design (CFD) in Food Industry." The results of the publication search found a total of 211 documents from 1992 to 2023. The average number of publications was 6.59. The trend of CFD publications in the food industry was first carried out in 1992. The development of this publication has been fluctuating, and there has been an increase in publications in the last five years (2019 - 2023). Research publications regarding CFD in the food industry are grouped into 20 subject areas. Contributions to this research consisted of 159 authors, 160 affiliates, and 51 countries. Completing this research will likely provide information regarding publication sources and contributions made by several scientists from various affiliates and countries worldwide.

Physics-based reduced-order modeling of flash-boiling sprays in the context of internal combustion engines

Flash-boiling injection is one of the most effective ways to accomplish improved atomization compared to the high-pressure injection strategy. The tiny droplets formed via flash-boiling lead to fast fuel–air mixing and can subsequently improve combustion performance in engines. While most of the previous studies related to the topic focused on modeling flash-boiling sprays using three-dimensional (3D) computational fluid dynamics (CFD) techniques such as direct numerical simulations (DNS), large-eddy simulations (LES), and Reynolds-averaged Navier–Stokes (RANS) simulations, the present work introduces a reduced-order cross-sectionally averaged spray (CAS) model with significantly reduced computational cost. The proposed CAS model incorporates several physical submodels in flash-boiling sprays such as those for air entrainment, drag, superheated droplet evaporation, flash-boiling induced breakup, and aerodynamic breakup models. The CAS model is then applied to different fuels to investigate macroscopic spray characteristics such as liquid and vapor penetration lengths under flash-boiling conditions. It is found that the newly developed CAS model captures the trends in global flash-boiling spray characteristics reasonably well for different operating conditions and fuels. Moreover, the CAS model is shown to be faster by up to four orders of magnitude compared with simulations of 3D flash-boiling sprays. The novelty of the present work lies in providing a reduced-order flash-boiling spray model that offers cost-effective computational representations of complex phenomena. The proposed model can be very valuable for applications, such as experimental design, fuel screening, and creating digital twins, thus playing a crucial role in the advancement of research and development in the field of spray combustion.

Numerical investigation of thermal-hydraulics characteristics of cross-flow corrugated plate heat exchanger for lithium-cooled space nuclear reactor

The utilization of a lithium-cooled nuclear power supply system in conjunction with the He-Xe Brayton power system has great potential for providing power for space exploration missions. This is primarily attributed to its notable characteristics, such as high energy density, substantial output power, long-duration operation cycle, and little vulnerability to environmental factors. One of the salient concerns that necessitates attention is the phenomenon of heat transfer occurring between liquid lithium and a mixture of helium and xenon (He-Xe). The Vertical Cross-Flow Corrugated Plate Heat Exchanger (VC-CPHE) constructed from W-alloy possesses several advantages in space reactor applications compared to other heat exchangers. These include its compact design, which allows for a large heat exchange surface, as well as its ability to shield gamma-ray radiation. This paper investigates the thermal hydraulic properties of the VC-CPHE internal heat transfer medium using Computational Fluid Dynamics (CFD) techniques. The results indicate that, due to the similar flow channel structure of Li and He-Xe, there are similarities in terms of flow direction and periodic distribution of parameters. Nevertheless, due to the distinct thermophysical properties and operational parameters, these materials demonstrate notable disparities in temperature boundary layers, local thermal resistance, and other relevant factors. Furthermore, the optimization of VC-CPHE involves a balancing act between enhancing heat transfer efficacy and minimizing flow resistance. The VC-CPHE demonstrates optimal balanced performance when the inlet cross-angle is set at 45°. In comparison to Li, He-Xe exhibits elevated levels of thermal resistance and pressure loss. Hence, in the investigation of optimizing the corrugation pitch and inlet cross-angle, the optimal balanced size of corrugation pitch is 12 mm and inlet cross-angle is 45° on He-Xe side is used as the final result. An increase in the inlet temperature difference of the heat exchanger leads to a slight decrease in the heat transfer coefficient, but an overall improvement in heat transfer. On the basis of obtaining the flow and heat transfer characteristics inside VC-CPHE, the effects of inlet cross-angle, corrugation pitch, and inlet temperature difference on the performance of VC-CPHE are discussed. The findings derived from the present study provide valuable insights for the future design and optimization of VC-CPHE systems in megawatt-class nuclear power deep space exploration spacecraft, particularly in relation to internal heat transfer.

Pressure drop-derived index associated with plaque vulnerability of coronary atherosclerosis

Abstract Background The clinical importance of physiological distribution of coronary atherosclerosis is emerging. However, this concept has limited clinical application because of complex formulas and technical difficulties in measurement. Purpose We aimed to evaluate the utility of a simple physiological metric using pressure drop across the lesion, through the analysis of association with hemodynamic and plaque characteristics. Methods The analysis was conducted on a total 246 lesions in 136 vessels from DISCOVER-FLOW study, which was the first-in-human, prospective, international, multi-center study demonstrating the diagnostic accuracy of coronary computational tomographic angiography (CCTA)-derived fractional flow reserve (FFRCT) for invasive FFR. All vessel- and lesion-level hemodynamic as well as plaque parameters were analyzed by independent core laboratories using CCTA and computational fluid dynamic techniques. Functional significance (FS) was defined as CTA-derived FFR (FFRCT) ≤ 0.80, and physiological focal disease (PFD) was defined as change in FFRCT across the lesion (ΔFFRCT) ≥ 0.06 and FFR drop across the lesion ≥ 0.0015/mm. The lesions were categorized into four groups based on the existence of FS and/or PFD and denoted as follows: FS(-) PFD(-) for group A, FS(-) PFD(+) for group B, FS(+) PFD(-) for group C, FS(+) PFD(+) for group D; Statistics of hemodynamic and plaque characteristics among the four groups were compared. Results 48.8% and 54.5% of total lesions were designated as FS and PFD, respectively. Vessel-level characteristics such as total plaque volume (TPV) of vessel and percent atheroma volume (PAV) of vessel were positively associated with FS (all p<0.001 for A vs C and B vs D). In the lesion level, wall shear stress (WSS) was higher when PFD was present, regardless of FS (136.5 vs 260.8, p<0.001 with A vs B; 125.6 vs 299.9, p<0.001 with C vs D, Figure panel a). Plaque burden at minimal lumen area (PB) was significantly greater with PFD in both negative FS and positive FS (52.3 vs 68.5, p<0.001 with A vs B; 49.5 vs 81.1, p<0.001 with C vs D, Figure panel b). Other volumetric plaque factors such as plaque volume (PV) and PAV, were also significantly greater with PFD in both negative FS and positive FS (all p<0.01 for A vs B and C vs D, Figure panel c and d). Adverse plaque characteristics (APC) were found to be frequently present in conjunction with PFD, regardless of FS (30.0% vs 53.6%, p=0.013 with A vs B; 26.2% vs 68.0%, p<0.001 with C vs D, Figure panel e). PFD without FS showed significantly higher in all hemodynamic and plaque characteristics compared to FS without PFD (B vs C - p<0.001 for WSS, PV, PAV; p=0.002 for PB; p=0.012 for APC, Figure). Conclusions Hemodynamic and morphological characteristics related to plaque vulnerability were associated with a pressure drop-derived index, PFD, independent of functional significance of the vessel.

Impact of building porosity on exterior convective heat transfer coefficients: An experimental and computational parametric study

Exterior convective heat transfer is vital for connecting a building and its surrounding environment. With an increasing focus on porous buildings for sustainable design, accurately calculating exterior convective heat transfer is critical, and also poses significant challenges. This study used experimental and computational fluid dynamics (CFD) techniques to assess the impact of building porosity on exterior CHTCs. Onsite measurements at an actual porous building were conducted first for validation, which was further extrapolated by linking the actual porous building with idealized porous buildings. Parametric CFD simulations were then performed on hypothetical isolated buildings with ten different idealized geometries (including one fully enclosed building as a baseline and nine porous buildings) and two wind directions (perpendicular and oblique). The resulting exterior CHTCs obtained through CFD simulations were compared with those from exterior CHTC models in EnergyPlus, along with the resulting differences in cooling load. The findings revealed that the maximum difference in exterior CHTCs between CFD simulations and exterior CHTC models in EnergyPlus was nearly threefold, leading to cooling load deviations of up to 19%. From a practical perspective, this study highlights the impact of building porosity on exterior convective heat transfer, underscoring the importance of considering building porosity in building energy simulation for more accurate cooling load prediction.

Numerical simulation and optimization of surface evaporation in a 3D solar still for improved performance

This article focuses on the numerical simulation of the surface evaporation process within a 3D solar still. Inside the solar still chamber, water is maintained at a specific level and undergoes evaporation due to solar heat. The numerical simulation utilizes computational fluid dynamics (CFD) techniques. The primary objective of this study is to enhance the performance of the solar still system by increasing the rate of surface evaporation. The study optimized the system using design of experiments (DOE) and the response surface method (RSM). It investigated three input parameters – chamber height, water depth, and glass wall temperature – within defined ranges, measuring their impact on the target parameter. Optimal design conditions were determined, where the system exhibited peak performance with a chamber height of 1 m, a water depth of 0.2 m, and a glass wall temperature of 333.15 K. Under these conditions, the surface evaporation rate reached a maximum value of 0.00733960 kg/m³·K. Compared to baseline conditions, the optimal configuration yielded a significant 215.6 % increase in system performance. These findings underscore the substantial impact of these parameters on the efficiency of the solar still system.

Numerical investigation of the effect of fin height on the performance of a building-integrated photovoltaic-phase change material unit and application of soft computing method to predict the optimal system performance

A numerical study is done to analyze the effect of fin length on the performance of a building-integrated photovoltaic-phase change material (PV/PCM) unit. The results obtained for cases with different fin lengths (1, 2, 3 and 4 cm) are compared with the findings related to the finless case. The required simulations are conducted by using computational fluid dynamics technique and with the help of Ansys Fluent software. Validation of the numerical method is done through comparison with the experimental data available in the literature. It was found that with the increase in the length of the fins, the performance of the system first improves and then weakens, but the performance of the PV/PCM unit is always better than the finless unit. It was found that the optimal fin length is equal to 3 cm. Furthermore, the artificial neural network technique was used to develop a relationship for predicting the temporal changes of the PV panel efficiency of the finned PV/PCM unit. The correlation coefficient of the model was reported as 0.9906, which confirmed the acceptable accuracy of the model.

Cooling-assist friction stir welding: A case study on AA6068 aluminum alloy and copper joint

This study evaluates the impact of cooling-assist friction stir welding (CA-FSW) tool rotational and traverse velocities on the bonding quality of Al-Cu-Mg and copper lap joints. A modified computational fluid dynamics (CFD) technique analyzes heat generation and distribution during dissimilar CA-FSW joints between AA6068 alloy and copper. The relationship between CA-FSW tool velocities and metallurgical properties of the final joint is assessed. Simulation results provide insights into metallurgical phenomena during the CA-FSW process. Findings reveal greater plastic deformation and heat generation on the AA6068 aluminum alloy side due to raw material placement, resulting in more significant microstructure changes in AA6068 aluminum alloy compared to copper. Increased heat generation leads to higher copper-rich intermetallic compound (IMC) formation, resulting in increased hardness of the stir zone at the base metals’ interface.

Numerical Investigations of Near Surge Operating Conditions in a Two-Stage Radial Compressor With Refrigerant Gas

Abstract Modern compressor design targets require high performance and a wide operating range in order to reduce the environmental impact. To understand the fluid dynamics mechanisms that trigger instability, studying the system at the stability limit is required. In this work, a two-stage back-to-back centrifugal compressor for refrigerant applications has been simulated with computational fluid dynamics (CFD) techniques using unsteady calculations in different operating points close to surge. These models have been validated by comparing numerical performance with experimental data. An in-depth fluid dynamics analysis combined with the monitoring of several pressure signals, postprocessed with FFT, identified different flow phenomena in the two stages toward the surge limit. The key role of the volute that induces a stronger upstream counterpressure in the first stage has been highlighted. This effect causes the formation of high entropy (low momentum) rotating cells in the diffuser that involve a higher channel portion with respect to the flow structure in the second diffuser. This phenomenon affects the upstream flow conditions at the impeller. In addition, the interaction between the inlet guide vane (IGV) and the inducer has been analyzed, observing that in the second stage, due to the flow nonuniformity after the intermediate compressor pipe, non-negligible separations occur. Starting from the peaks detected in the FFT analysis of the pressure signals, all the above flow mechanisms have been detected and discussed.

Numerical Study of Self-propulsion Resistance of KCS Based on CFD

In this study, we used computational fluid dynamics (CFD) techniques to conduct self-propulsion tests to evaluate vessel resistance. We conducted self-propulsion calculations on the Korea Research Institute of Vessels and Ocean Engineering (KRISO) container ship (KCS) at a model scale, directly discretizing the propeller and rudder. We used the overset grid method, which allows the propeller to rotate arbitrarily during the calculation process, and used the volume of fluid (VOF) method for multiphase flow to handle the free surface effect. The accuracy of the computational results was verified by comparison with existing experimental data.

Noise Prediction and Plasma-Based Control of Cavity Flows at a High Mach Number

Cavity flows are a prevalent phenomenon in aerospace engineering, known for their intricate structures and substantial pressure fluctuations arising from interactions among vortices. The primary objective of this research is to predict noise levels in high-speed cavity flows at Mach 4 for a rectangular cavity characterized by an aspect ratio of L/D = 7. Moreover, this study delves into the influence of the plasma actuator on noise control within the cavity flow regime. To comprehensively analyze acoustic characteristics and explore effective noise reduction strategies, a computational fluid dynamics technique with the combination of a delayed detached eddy simulation (DDES) and plasma phenomenological model is established. Remarkably, the calculated overall sound pressure level (OASPL) and plasma-induced velocity closely align with the experimental data, validating the reliability of the proposed approach. The results show that the dielectric barrier discharge (DBD) plasma actuator changes the movement range of a dominating vortex in the cavity to affect the OASPL at the point with the maximum noise level. The control of excitation voltage can reduce the cavity noise by 2.27 dB at most, while control of the excitation frequency can only reduce the cavity noise by 0.336 dB at most. Additionally, the increase in excitation frequency may result in high-frequency sound pressure, but the influence is weakened with the increase in the excitation frequency. The findings highlight the potential of the plasma actuator in reducing high-Mach-number cavity noise.