Evaluation of performance of parallel connected vortex tubes using air, oxygen and carbondioxide with Taguchi method

Kaya, Hüseyin

doi:10.1007/s00231-020-02968-w

Cited by 9 publications

(3 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They show relative importance values of .48 and .33, respectively. This observation aligns with previous studies of Pinar et al 44 and Kaya 45 with the Taguchi method. These suggest that, for the influencing parameters, the inlet pressure has much more influence than fluid types.…”

Section: Resultssupporting

confidence: 93%

Machine learning‐assisted analysis and prediction for the thermal effect of various working fluids in a vortex tube

Wang,

Li,

Zhong

et al. 2023

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

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.

show abstract

Section: Resultssupporting

confidence: 93%

Machine learning‐assisted analysis and prediction for the thermal effect of various working fluids in a vortex tube

Wang,

Li,

Zhong

et al. 2023

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

show abstract

“…Nimbalkar Through the experimental study on the influence of different geometric parameters on RHVTperformance.Westley [ 11 ] believed that the energy separation effect was related to the injecting area of injecting hole, length of energy separation pipel, cross-sectional area of generating chamber, area of cold outlet and 2 flow pressure, and the optimized proportion relationship was given as follows: Aiming to achieve the maximum temperature difference between hot and cold outlet,. Kaya [ 12 ] investigated the effect of inlet pressure, working fluid, nozzle material and number of nozzles on the performance of parallel vortex tubes by Taguchi's method. The results show that the working pressure has the greatest effect on the vortex tube performance.…”

Section: Introductionmentioning

confidence: 99%

Research on the prediction model of energy separation effect of vortex tube based on trajectory deflection characteristics and its numerical solution method

Liu,

Cao,

Han

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…The performance of parallel connected vortex tubes using air, oxygen, and carbon dioxide was evaluated using the Taguchi method. The factors affecting the performance, such as vortex tube inlet pressure, working fluid, nozzle material, and nozzle number, were optimized [10]. Experimental and computational fluid dynamics (CFD) analysis were compared to study the vortex tube using different Reynolds-averaged Navier-Stokes (RANS) models [11].…”

mentioning

confidence: 99%

Evaluating Heat Transfer in Electronic Cabinet Applications: An Analytical and Experimental Approach

Fadavian,

Fadavian

2023

Preprint

View full text Add to dashboard Cite

In this study, an investigation was conducted into the heat transfer dynamics of electronic cabinets cooled using a vortex tube in two scenarios: without insulation and with insulation. The study was conducted both analytically and experimentally, with the aim of calculating the operational time and operational cycles of a compressor as a vortex tube feeder. The findings of the study reveal that the implementation of insulation leads to a considerable reduction in the time required to cool the electronic cabinet, and the proposed analytical relationships proved to be highly accurate.

show abstract

Evaluation of performance of parallel connected vortex tubes using air, oxygen and carbondioxide with Taguchi method

Cited by 9 publications

References 39 publications

Machine learning‐assisted analysis and prediction for the thermal effect of various working fluids in a vortex tube

Machine learning‐assisted analysis and prediction for the thermal effect of various working fluids in a vortex tube

Research on the prediction model of energy separation effect of vortex tube based on trajectory deflection characteristics and its numerical solution method

Evaluating Heat Transfer in Electronic Cabinet Applications: An Analytical and Experimental Approach

Contact Info

Product

Resources

About