Experimental and Computational Analysis of Single Phase Flow Coiled Flow Inverter Focusing on Number of Transfer Units and Effectiveness
-
Thomas Barthram
and
Carlos I. Rivera-Solorio
Abstract
The coiled flow inverter (CFI) is an enhanced heat exchanger. This device uses the principle of flow inversion to increase heat transfer and has potential for industrial applications. A mathematical model based on experimental and numerical data was developed for the case of single phase flow with water as working fluids. This model includes (ε-NTU) Effectiveness Number of Transfer Units curves, Nusselt correlations, for this specific neither parallel nor counter flow setup. A range of Reynolds numbers from 2,000 to 18,000 in the tube side, and 500 to 2,000 in the shell side was considered. The coiled flow inverter is made of coils and 90◦ bends, inserted in a closed shell. The shell side is cylindrical. The average temperatures at input and output of the heat exchanger were reported for different tube and shell side flow rates. Overall heat-transfer coefficients (Uf) were calculated as well as the Number of Transfer Units (NTU) and Effectiveness (ε) at various process conditions. A Nusselt correlation was proposed for the shell side of this configuration. The ε-NTU curves of the selected heat exchanger have a high resemblance to the parallel flow tube heat exchanger, with a maximum of 2.1 % error. The coiled flow inverter has increases of 200 %, 300 % and 500 %, respectively for effectiveness, number of transfer units and overall heat transfer coefficient compared to a regular parallel flow heat exchanger at the same conditions. Correlations for the CFI in its shell were proposed. This heat exchanger provides higher Uf, reduces cumbersomeness and length of piping.
Funding statement: This work was funded by the Tecnologico de Monterrey and by the CONACYT governmental entity (National Council of Science and Technology).
Acknowledgements
The authors acknowledge the support from the Tecnológico de Monterrey through the Focus Group of Energy and Climate Change.
Nomenclature
- Roman
- Re
Number of Reynolds
- De
Number of Dean
- Pr
Prandtl Number
- d
Interior tube diameter
- D
Coil diameter
- A
Area
- L
Length of tube
- T
Temperature
- Cp
Specific heat
Heat transfer rate
Mass flow rate
Heat capacity rate of cold or hot fluid
- Cmin
Minimum heat capacity rate
- c
Capacity ratio of minimum and maximum capacity rates
- NTU
Number of Transfer Units
- Lcoil
Projected length of coil
Logarithmic mean temperature difference
Overall heat transfer coefficient times correction factor
- V
Velocity
Pressure
- k
Conductivity
- hi
Inner convective heat transfer coefficient
- ho
Outer convective heat transfer coefficient
- Greek letters
Effectiveness
Coefficient of viscosity
Density
- λ
Curvature ratio
- Subscripts
- h
Hot
- c
Cold
- i
In
- o
Out
- l
Longitudinal
References
1. Agrawal, S., Jayaraman, G. 9// 1994. Numerical simulation of dispersion in the flow of power law fluids in curved tubes. Applied Mathematical Modelling 18, 504–512.10.1016/0307-904X(94)90329-8Search in Google Scholar
2. Dean, W.R. XVI. Note on the motion of fluid in a curved pipe. Philosophical Magazine Series 7, 4, 208–223, 1927/07/01 1927.10.1080/14786440708564324Search in Google Scholar
3. Di Liberto, M., Di Piazza, I., Ciofalo, M. 2013. Turbulence structure and budgets in curved pipes. Computers and Fluids 88, 452–472.10.1016/j.compfluid.2013.09.028Search in Google Scholar
4. Eustice, J. 1911. Experiments on stream-line motion in curved pipes. Proceedings of the Royal Society of London. Series A 85, 119–131.10.1098/rspa.1911.0026Search in Google Scholar
5. Hon, R., Humphrey, J.A.C., Champagne, F. 1999. Transition to turbulence of the flow in a straight pipe downstream of a helical coil. Physics of Fluids 11, 2993–3002.10.1063/1.870158Search in Google Scholar
6. Kumar, V., Nigam, K.D.P. 11// 2005. Numerical simulation of steady flow fields in coiled flow inverter. International Journal of Heat and Mass Transfer 48, 4811–4828.10.1016/j.ijheatmasstransfer.2005.05.037Search in Google Scholar
7. Kumar, V., Mridha, M., Gupta, A.K., Nigam, K.D.P. 2007. Coiled flow inverter as a heat exchanger. Chemical Engineering Science 62, 2386–2396.10.1016/j.ces.2007.01.032Search in Google Scholar
8. Kumar, V., Saini, S., Sharma, M., Nigam, K.D.P. 7// 2006. Pressure drop and heat transfer study in tube-in-tube helical heat exchanger. Chemical Engineering Science 61, 4403–4416.10.1016/j.ces.2006.01.039Search in Google Scholar
9. Kurt, S.K., Vural Gürsel, I., Hessel, V., Nigam, K.D.P., Kockmann, N. 1/15/ 2016. Liquid–liquid extraction system with microstructured coiled flow inverter and other capillary setups for single-stage extraction applications. Chemical Engineering Journal 284, 764–777.10.1016/j.cej.2015.08.099Search in Google Scholar
10. Lin, G.Y., Zhang, X.H., Liu, Z., Yang, W.M. 2011. Research on Enhanced Heat Transfer Characteristics in Heat Exchanger Inserted with Rotors, Internacional Conference on Electric Information and Control Engineering, 2517–2520.Search in Google Scholar
11. Lomascolo, M., Colangelo, G., Milanese, M., de Risi, A. 3// 2015. Review of heat transfer in nanofluids: Conductive, convective and radiative experimental results. Renewable and Sustainable Energy Reviews 43, 1182–1198.10.1016/j.rser.2014.11.086Search in Google Scholar
12. Mandal, M.M., Kumar, V., Nigam, K.D.P. 2010. Augmentation of heat transfer performance in coiled flow inverter vis-à-vis conventional heat exchanger. Chemical Engineering Science 65, 999–1007.10.1016/j.ces.2009.09.053Search in Google Scholar
13. Mridha, M., Nigam, K.D.P. 5// 2008. Numerical study of turbulent forced convection in coiled flow inverter. Chemical Engineering and Processing: Process Intensification 47, 893–905.10.1016/j.cep.2007.02.026Search in Google Scholar
14. Pritchard, P.J. 2011. Fox and McDonald’s Introduction to Fluid Mechanics. Hoboken, NJ: Wiley.Search in Google Scholar
15. S. S. G.. 2010. Heat and Mass Transfer, 2nd edn. New Delhi, India: I.K. International Publishing House Pvt. Limited.Search in Google Scholar
16. Saxena, A.K., Nigam, K.D.P. 1984. Coiled configuration for flow inversion and its effect on residence time distribution. AIChE Journal 30, 363–368.10.1002/aic.690300303Search in Google Scholar
17. Sharma, A.K., Agarwal, H., Pathak, M., Nigam, K.D.P., Rathore, A.S. 2/2/ 2016. Continuous refolding of a biotech therapeutic in a novel Coiled Flow Inverter Reactor. Chemical Engineering Science 140, 153–160.10.1016/j.ces.2015.10.009Search in Google Scholar
18. Singh, J., Nigam, K.D. P. 4// 2016. Pilot plant study for effective heat transfer area of coiled flow inverter. Chemical Engineering and Processing: Process Intensification 102, 219–228.10.1016/j.cep.2016.02.001Search in Google Scholar
19. Singh, J., Kockmann, N., Nigam, K.D.P. 12// 2014. Novel three-dimensional microfluidic device for process intensification. Chemical Engineering and Processing: Process Intensification 86, 78–89.10.1016/j.cep.2014.10.013Search in Google Scholar
20. Sun, D.W. 2007. Computational Fluid Dynamics in Food Processing. CRC Press.10.1201/9781420009217Search in Google Scholar
21. Taylor, G.I. The criterion for turbulence in curved pipes. 1929. Proceedings of the Royal Society of London. Series A 124, 243–249.10.1098/rspa.1929.0111Search in Google Scholar
22. Vashisth, S., Nigam, K.D.P. 2007/07/01 2007. Experimental investigation of pressure drop during two-phase flow in a coiled flow inverter. Industrial & Engineering Chemistry Research 46, 5043–5050.10.1021/ie061490sSearch in Google Scholar
23. Vural Gürsel, I., Kurt, S.K., Aalders, J., Wang, Q., Noël, T., Nigam, K.D.P., et al. 1/1/ 2016. Utilization of milli-scale coiled flow inverter in combination with phase separator for continuous flow liquid–liquid extraction processes. Chemical Engineering Journal 283, 855–868.10.1016/j.cej.2015.08.028Search in Google Scholar
©2016 by De Gruyter
Articles in the same Issue
- Frontmatter
- Preface to the Special Issue dedicated to the First International Energy Conference, IEC 2015
- Derivation of an Upscaled Model for Mass Transfer and Reaction for Non-Food Starch Conversion to Bioethanol
- Elucidating Kinetic, Adsorption and Partitioning Phenomena from a Single Well Tracer Method: Laboratory and Bench Scale Studies
- Thermodynamic Analysis of Ethanol Synthesis from Glycerol by Two-Step Reactor Sequence
- Modeling the Transient VOC (toluene) Oxidation in a Packed-Bed Catalytic Reactor
- Substrate Feeding Strategy Integrated with a Biomass Bayesian Estimator for a Biotechnological Process
- Comparison Tools for Parametric Identification of Kinetic Model for Ethanol Production using Evolutionary Optimization Approach
- Hydrodeoxygenation of Phenol Over Sulfided CoMo Catalysts Supported on a Mixed Al2O3-TiO2 Oxide
- Experimental and Computational Analysis of Single Phase Flow Coiled Flow Inverter Focusing on Number of Transfer Units and Effectiveness
- Dynamic Effectiveness Factor for Catalytic Particles with Anomalous Diffusion
- Experimental and Artificial Neural Network Modeling of a Upflow Anaerobic Contactor (UAC) for Biogas Production from Vinasse
- Novel Feedback Control to Improve Biohydrogen Production by Desulfovibrio alaskensis
- Influence of an Alkaline Zeolite on the Carbon Flow in Anaerobiosis of Three Strains of Saccharomyces cerevisiae
- CCS, A Needed Technology for the Mexican Electrical Sector: Sustainability and Local Industry Participation
- Olefins and Ethanol from Polyolefins: Analysis of Potential Chemical Recycling of Poly(ethylene) Mexican Case
- CFD Simulations of Copper-Ceria Based Microreactor for COPROX
Articles in the same Issue
- Frontmatter
- Preface to the Special Issue dedicated to the First International Energy Conference, IEC 2015
- Derivation of an Upscaled Model for Mass Transfer and Reaction for Non-Food Starch Conversion to Bioethanol
- Elucidating Kinetic, Adsorption and Partitioning Phenomena from a Single Well Tracer Method: Laboratory and Bench Scale Studies
- Thermodynamic Analysis of Ethanol Synthesis from Glycerol by Two-Step Reactor Sequence
- Modeling the Transient VOC (toluene) Oxidation in a Packed-Bed Catalytic Reactor
- Substrate Feeding Strategy Integrated with a Biomass Bayesian Estimator for a Biotechnological Process
- Comparison Tools for Parametric Identification of Kinetic Model for Ethanol Production using Evolutionary Optimization Approach
- Hydrodeoxygenation of Phenol Over Sulfided CoMo Catalysts Supported on a Mixed Al2O3-TiO2 Oxide
- Experimental and Computational Analysis of Single Phase Flow Coiled Flow Inverter Focusing on Number of Transfer Units and Effectiveness
- Dynamic Effectiveness Factor for Catalytic Particles with Anomalous Diffusion
- Experimental and Artificial Neural Network Modeling of a Upflow Anaerobic Contactor (UAC) for Biogas Production from Vinasse
- Novel Feedback Control to Improve Biohydrogen Production by Desulfovibrio alaskensis
- Influence of an Alkaline Zeolite on the Carbon Flow in Anaerobiosis of Three Strains of Saccharomyces cerevisiae
- CCS, A Needed Technology for the Mexican Electrical Sector: Sustainability and Local Industry Participation
- Olefins and Ethanol from Polyolefins: Analysis of Potential Chemical Recycling of Poly(ethylene) Mexican Case
- CFD Simulations of Copper-Ceria Based Microreactor for COPROX
