CFD simulation and thermodynamic analysis of energy separation in vortex tube using different inert gases at different inlet pressures and cold mass fractions
“…They observed that the flow patterns through the vortex tube, for air, R134a, and R600, are the same, and the temperature distribution through the inlet and outlet is rather similar. A similar observation has been noticed by Ambedkar and Dutta 28 ; they numerically examined five inert gases (helium, neon, argon, nitrogen, and carbon dioxide) in the vortex tube. The CFD results show that, for all chosen fluid, the temperature increases along the axial and radial directions and the fluid at the peripheral part moves toward the hot end while the central part toward to the cold end.…”
Section: Introductionsupporting
confidence: 78%
“…Based on the previous researches, 15,16,27,28 a comprehensive set of parameters is chosen as the initial influencing factor (Table 3). These parameters include the pressure ratio of inlet and cold outlet p in /p c , the cold mass fraction μ c , the inlet temperature T in , the molecular weight M, the specific heat ratio γ, the thermal diffusivity a, the kinematic viscosity ν, the dynamic viscosity μ, the density ρ, the specific heat at constant pressure c p , the thermal conductivity λ, the multiplication of heat capacity and the molar weight c p ÁM, and the J-T coefficient μ JT .…”
Section: Feature Screening For Macro Propertiesmentioning
With the widespread application of vortex tube in various fields, it becomes essential to quantitatively explore the separation effect of different fluids (natural fluids, hydrocarbons, etc.) within the vortex tube and to promote its utilization. A new approach has been developed in this study to establish quantitative models for predicting the thermal effects of different fluids in a vortex tube. These models are based on both the macro properties of the working fluid and micro molecular descriptor through a molecular scale. A dataset of 11 numerical simulation results of hydrocarbons and hydrofluorocarbons refrigerants is employed. Three operating conditions, 10 property parameters, and 115 molecular descriptors are screened and identified using random forest feature analysis. Two types of models (micro and macro) have been developed by employing artificial neural network (ANN) modeling techniques. In the result, four key influencing fluid property parameters (the specific heat ratio γ, the multiplication of heat capacity and the molar weight cp·M, the kinematic viscosity ν, and the thermal conductivity λ) and nine molecular descriptors in affecting the thermal effect are identified and respectively chosen as the input in the macro and the micro ANN model establishment. Both types of developed models show a high correlation coefficient (R > .999) and a comparatively low mean square error (MSE). When R600 is employed in the validation, most of the relative error is less than 10%, suggesting both types of models can work effectively in predicting the thermal effect for other fluid. The findings contribute to a deeper understanding of the thermodynamic effect of vortex tubes and provide a valuable tool for selecting and optimizing working fluids in various applications.
“…They observed that the flow patterns through the vortex tube, for air, R134a, and R600, are the same, and the temperature distribution through the inlet and outlet is rather similar. A similar observation has been noticed by Ambedkar and Dutta 28 ; they numerically examined five inert gases (helium, neon, argon, nitrogen, and carbon dioxide) in the vortex tube. The CFD results show that, for all chosen fluid, the temperature increases along the axial and radial directions and the fluid at the peripheral part moves toward the hot end while the central part toward to the cold end.…”
Section: Introductionsupporting
confidence: 78%
“…Based on the previous researches, 15,16,27,28 a comprehensive set of parameters is chosen as the initial influencing factor (Table 3). These parameters include the pressure ratio of inlet and cold outlet p in /p c , the cold mass fraction μ c , the inlet temperature T in , the molecular weight M, the specific heat ratio γ, the thermal diffusivity a, the kinematic viscosity ν, the dynamic viscosity μ, the density ρ, the specific heat at constant pressure c p , the thermal conductivity λ, the multiplication of heat capacity and the molar weight c p ÁM, and the J-T coefficient μ JT .…”
Section: Feature Screening For Macro Propertiesmentioning
With the widespread application of vortex tube in various fields, it becomes essential to quantitatively explore the separation effect of different fluids (natural fluids, hydrocarbons, etc.) within the vortex tube and to promote its utilization. A new approach has been developed in this study to establish quantitative models for predicting the thermal effects of different fluids in a vortex tube. These models are based on both the macro properties of the working fluid and micro molecular descriptor through a molecular scale. A dataset of 11 numerical simulation results of hydrocarbons and hydrofluorocarbons refrigerants is employed. Three operating conditions, 10 property parameters, and 115 molecular descriptors are screened and identified using random forest feature analysis. Two types of models (micro and macro) have been developed by employing artificial neural network (ANN) modeling techniques. In the result, four key influencing fluid property parameters (the specific heat ratio γ, the multiplication of heat capacity and the molar weight cp·M, the kinematic viscosity ν, and the thermal conductivity λ) and nine molecular descriptors in affecting the thermal effect are identified and respectively chosen as the input in the macro and the micro ANN model establishment. Both types of developed models show a high correlation coefficient (R > .999) and a comparatively low mean square error (MSE). When R600 is employed in the validation, most of the relative error is less than 10%, suggesting both types of models can work effectively in predicting the thermal effect for other fluid. The findings contribute to a deeper understanding of the thermodynamic effect of vortex tubes and provide a valuable tool for selecting and optimizing working fluids in various applications.
“…Ambedkar and Dutta [33] simulated a vortex tube with five types of inert gas to understand the influence of different properties of these gases on flow phenomena and thermal performance of the vortex tube in broad ranges of cold mass fraction and inlet pressure. Even though the nature of the contour of the axial velocity was similar for all gases, the magnitude of axial velocity strongly depended on the gas molar mass, and the gas density increased with the increase in molar mass.…”
Section: Results Of Cfd Simulation Of Velocity and Pressurementioning
Studies have reported the incorporation of microorganisms into cement to promote the formation of calcium carbonate in cracks of concrete, a process known as biomineralization. The paper aims to improve the process of the cascade system for biomineralization in cement by identifying the best hydrodynamic conditions in a reaction cell in order to increase the useful life of concrete structures and, therefore, bring energy and environmental benefits. Two central composite rotatable designs were used to establish the positioning of the air inlet and outlet in the lateral or upper region of the geometry of the reaction cell. The geometries of the reaction cell were constructed in SOLIDWORKS®, and computational fluid dynamics was performed using the Flow Simulation tool of the same software. The results were submitted to statistical analysis. The best combination of meshes for the simulation was global mesh 4 and local mesh 5. The statistical analysis applied to gas velocity and pressure revealed that air flow rate was the factor with the greatest sensitivity, with R2 values up to 99.9%. The geometry with the air outlet and inlet in the lateral region was considered to be the best option.
“…This is due to the physical and kinetic energies of the fuel particles inside the chamber. The cold and hot mass fractions increase the particle kinetic velocities, increasing the temperature inside the cylinder [42]. In the expansion stroke, the intensity of the TKE is reduced significantly compared to the starting of the combustion stroke (Figure 12).…”
Section: Analysis Of Heat Release Rate For Modified Combustion Chambersmentioning
In diesel engines, emission formation inside the combustion chamber is a complex phenomenon. The combustion events inside the chamber occur in microseconds, affecting the overall engine performance and emissions characteristics. This study opted for using computational fluid dynamics (CFD) to investigate the combustion patterns and how these events affect nitrogen oxide (NOx) emissions. In this study, a diesel engine model with a flat combustion chamber (FCC) was developed for the simulation. The simulation result of the heat release rate (HRR) and cylinder pressure was validated with the experimental test data (the engine test was conducted at 1500 rpm at full load conditions). The validated model and its respective boundary conditions were used to investigate the effect of modified combustion chamber profiles on NOx emissions. Modified chambers, such as a bathtub combustion chamber (BTCC) and a shallow depth chamber (SCC), were developed, and their combustion events were analysed with respect to the FCC. This study revealed that combustion events such as fuel distribution, unburnt mass fractions, temperature and turbulent zones directly impact NOx emissions. The modified chambers controlled the spread of combustion and provided better fuel distribution, improving engine performance and combustion rates. The SCC (63.2 bar) showed peak pressure rates compared to the FCC (63.02 bar) and BTCC (62.72 bar). This study concluded that the SCC showed better results than other chambers. This study further recommends conducting lean fuel mixture combustion with chamber modifications and optimising fuel spray, such as by adjusting the fuel injection profile, spray angle and injection timing, which has a better tendency to create complete combustion.
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