Estimation of CO2 mass transfer rate into various types of Nanofluids in hollow Fiber membrane and packed bed column using adaptive neuro-fuzzy inference system

Zarei, Mohammad; Gholizadeh, Farshad; Sabbaghi, Samad; Keshavarz, Peyman

doi:10.1016/j.icheatmasstransfer.2018.05.022

Cited by 26 publications

(8 citation statements)

References 45 publications

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“…e smooth tube experimental data for Nu smooth was validated with the Dittus-Boelter equation ( 13), and f smooth by the Blasius equation ( 14) [25,35,47,50,51].…”

Section: Validation Of Experimental Resultsmentioning

confidence: 99%

“…e 99.76% and 99.54% of data regression coefficients for Nu and f, respectively, illustrated the accurateness of the method applied. Gill and Singh [34], Zarei et al [35], and Abadi et al [36] adopted the ANFIS approach for predicting the energetic performance analysis and found that the ANFIS predictions agreed well with the experimental results with an absolute fraction of variance in the range of 0.994-0.998, a root mean square error in the range of 0.0018-0.1907, and a mean absolute percentage error in the range of 0.103-0.897%. Onyelowe et al [37] implemented ANFIS and its evolutionary hybrid techniques, ANFIS-PSO and ANFIS-GA, to forecast the coefficients of curvature and the uniformity of unsaturated lateritic soil and concluded that ANFIS and its evolutionary hybrids techniques showed great accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Implementation of Thermal Heat Exchanger Tube Performance with Helically Pierced Twisted Tape Inserts Using ANFIS Model

Altarazi

Kumar

Gupta

et al. 2021

Mathematical Problems in Engineering

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The present work used ANFIS, an adaptive neuro-fuzzy inference system modeling to analyze the effect of the variable parameters of helically pierced twisted tape inserts on the Nusselt number, friction factor, and thermo-hydraulic heat exchanger tube performance. The experimental data utilized for ANFIS modeling considered a diameter ratio ranging from 0.57 to 0.80, a relative pitch ratio ranging from 0.046 to 0.107, a perforation index ranging from 5% to 20% as variable twisted tape parameters and flow parameters. The Reynolds number varies from 4000 to 30000. The analysis showed that the maximum thermo-hydraulic performance was obtained at a diameter ratio of 0.65, a relative pitch ratio of 0.085, and a perforation index equal to 10%. The result predicts that the ANFIS model and experimental results are in good agreement as they have only ±0.53% deviations.

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“…e smooth tube experimental data for Nu smooth was validated with the Dittus-Boelter equation ( 13), and f smooth by the Blasius equation ( 14) [25,35,47,50,51].…”

Section: Validation Of Experimental Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis and Implementation of Thermal Heat Exchanger Tube Performance with Helically Pierced Twisted Tape Inserts Using ANFIS Model

Altarazi

Kumar

Gupta

et al. 2021

Mathematical Problems in Engineering

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show abstract

“…The vapor–liquid mass transfer behavior in packed column is different from that in the bubbling reactor and the wetted‐wall column, 32 which may affect the enhancement effect of nanoparticles on CO 2 absorption process. Even though CO 2 mass transfer rate into various nanofluids has been numerically predicted by Zerai et al 33 . experimental study of nanoparticles’ impact on the CO 2 absorption process in a packed tower was rarely reported, to the best of our knowledge.…”

Section: Introductionmentioning

confidence: 92%

Enhancement of mass transfer performance by nanoparticles during the CO₂ absorption with MDEA solution in a randomly packed tower

et al. 2022

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In this study, the mass transfer enhancement by nanoparticles during CO 2 absorption process with MDEA solution in a randomly packed tower was investigated. The mass transfer performance of MDEA solution with and without nanoparticles were quantified and analyzed in terms of the volumetric overall mass transfer coefficient (K G a v ). An enhancement factor (E), defined as the ratio of K G a v with and without nanoparticles, was further introduced to evaluate the enhancement effect of the addition of nanoparticles. The effects of TiO 2 nanoparticle concentration, MDEA concentration, liquid flow rate, liquid temperature, inert gas flow rate, and CO 2 loading on K G a v and E were systematically studied in the packed tower. It is found that the maximum value of E can reach 1.37, when the nanoparticle concentration is 0.09 wt %, the liquid flow rate is 21.22 m 3 /m 2 •h, the liquid temperature is 27°C, the MDEA concentration is 30%, the gas flow rate is 7.58 kmol/m 2 •h and the CO 2 loading is 0.2 mol CO 2 /mol MDEA. Usually, the K G a v of the MDEA nanofluids can be increased by 10-37% in a randomly packed tower compared to that of the MDEA solution, which is consistent with the results from the bubbling reactors. However, when the CO 2 loading of absorption exceeds 50%, E becomes less than 1.0, which means that high CO 2 loading inhibits the enhancement effect of nanoparticles. In order to predict the mass transfer performance of MDEA nanofluid, a formula correlating E and various dimensionless operating parameters (i.e. L, T , Ĉnf and ĈMDEA ) is proposed and fitted with an average absolute deviation of 14%.

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“…Emission of anthropogenic CO 2 , which is one of the most significant greenhouse gases responsible for global warming (causing 60% of global warming), has raised a lot of issues. , Considering the operative conditions and concentration of CO 2 in the flue gas, several technologies such as absorption, adsorption, hydrate formation, membrane separation, and chemical conversion have been developed and employed to eliminate CO 2 . Among the mentioned technologies, the absorption process has gained a lot of attention due to lower cost, higher mass transfer capacity, and driving force. − …”

Section: Introductionmentioning

confidence: 99%

Insights Into the Mass Transfer Mechanisms of Nanofluids: A CO₂ Absorption Study

2021

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α-Fe2O3 (hematite) and CuO nanoparticles were synthesized, characterized, and utilized to construct water-based nanofluids capable of CO2 absorption enhancement. The structure, morphology, surface, and bulk properties of the synthesized materials were investigated using field-emission scanning electron microscopy (FE-SEM), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDS), ζ, dynamic light scattering (DLS), pH, and viscosity analyses and measurements. The unclear and mysterious nature of the mass transfer mechanisms of nanofluids were investigated and confirmed by developing several approaches including new parameters for optimum and equilibrium conditions. The investigations revealed the maximum CO2 absorption enhancement of 63.79 and 38.72% for water–Fe2O3 and water–CuO nanofluids, respectively. A new observation about absorption trends was hypothesized and rationalized to be caused by the variation of surface charges and named the “electrostatic bulk effect”. The approach made it possible to categorize the reported mechanisms into bulky and interfacial groups and gave a concise, clear, and integrated insight into the mass transfer mechanisms, stability concept, and nanofluid component selection standards.

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Estimation of CO2 mass transfer rate into various types of Nanofluids in hollow Fiber membrane and packed bed column using adaptive neuro-fuzzy inference system

Cited by 26 publications

References 45 publications

Analysis and Implementation of Thermal Heat Exchanger Tube Performance with Helically Pierced Twisted Tape Inserts Using ANFIS Model

Analysis and Implementation of Thermal Heat Exchanger Tube Performance with Helically Pierced Twisted Tape Inserts Using ANFIS Model

Enhancement of mass transfer performance by nanoparticles during the CO₂ absorption with MDEA solution in a randomly packed tower

Insights Into the Mass Transfer Mechanisms of Nanofluids: A CO₂ Absorption Study

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Estimation of CO2 mass transfer rate into various types of Nanofluids in hollow Fiber membrane and packed bed column using adaptive neuro-fuzzy inference system

Cited by 26 publications

References 45 publications

Analysis and Implementation of Thermal Heat Exchanger Tube Performance with Helically Pierced Twisted Tape Inserts Using ANFIS Model

Analysis and Implementation of Thermal Heat Exchanger Tube Performance with Helically Pierced Twisted Tape Inserts Using ANFIS Model

Enhancement of mass transfer performance by nanoparticles during the CO2 absorption with MDEA solution in a randomly packed tower

Insights Into the Mass Transfer Mechanisms of Nanofluids: A CO2 Absorption Study

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Product

Resources

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Enhancement of mass transfer performance by nanoparticles during the CO₂ absorption with MDEA solution in a randomly packed tower

Insights Into the Mass Transfer Mechanisms of Nanofluids: A CO₂ Absorption Study