Abstract
An effective procedure of response surface methodology (RSM) has been successfully developed for a coiled agitated vessel by finding the optimal values of working parameters to achieve the high heat transfer performance. Studies have been performed for two types of agitators, propeller and disk turbine respectively. TiO2/water nanofluid has been used as agitated medium. Various operating parameters, such as impeller speed (100–700 rpm for propeller and 100–300 rpm for disk turbine), TiO2/water nanofluid concentration (0–0.3 vol%), heat input (400–2200 W) to the agitated medium were explored by experiment. Experiments were performed at desired set of working conditions suggested by a standard RSM design called a Box-Behnken Design. Nusselt number was considered as performance parameter. The results identify the significant influence factors to achieve high coefficient of heat transfer. A set of 690 rpm, 0.28 vol%, 1480 W for propeller and 220 rpm, 0.15 vol%, 1330 W for disk turbine have been suggested by the model for achieving improved heat transfer performances. The obtained optimal working parameters have been predicted and verified by conducting validation experiments. A good agreement of discrepancy ±4% have been obtained between experimental and predicted values.
Acknowledgements
The author is grateful to Dr. M. Arivazhagan and Dr. P. Sivashanmugam, Professors, Department of Chemical Engineering, National Institute of Technology, Trichirappalli and Dr N. M. Hariharan, Professor, Department of Biotechnology, Sree Sastha Institute of Engineering and Technology for their valuable advice and contribution towards this work.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/ijcre-2021-0055).
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Articles
- CFD research on the influence of geometry characteristic on flow pattern and the transition mechanism in Rushton turbine stirred vessels
- Insight on micro bubbling mechanism in a 2D fluidized bed with Group D particles
- Parametric optimization of a coiled agitated vessel with TiO2/water nanofluid
- Highly efficient photo-degradation of cetirizine antihistamine with TiO2-SiO2 photocatalyst under ultraviolet irradiation
- DEM study of the angle of repose and porosity distribution of cylindrical particles with different lengths
- Analysis of flow pattern characteristics and strengthening mechanism of co-rotating and counter-rotating mixing with double impellers on different string shafts
- Comprehensive evaluation of the blast furnace status based on data mining and mechanism analysis
- Performance enhancement of commercial ethylene oxide reactor by artificial intelligence approach
- Study of catalytic hydrogenation performance for the Pd/CeO2 catalysts
- Performance of flow distribution in a microchannel parallel flow gas cooler with stepped protrusion depth header
Artikel in diesem Heft
- Frontmatter
- Articles
- CFD research on the influence of geometry characteristic on flow pattern and the transition mechanism in Rushton turbine stirred vessels
- Insight on micro bubbling mechanism in a 2D fluidized bed with Group D particles
- Parametric optimization of a coiled agitated vessel with TiO2/water nanofluid
- Highly efficient photo-degradation of cetirizine antihistamine with TiO2-SiO2 photocatalyst under ultraviolet irradiation
- DEM study of the angle of repose and porosity distribution of cylindrical particles with different lengths
- Analysis of flow pattern characteristics and strengthening mechanism of co-rotating and counter-rotating mixing with double impellers on different string shafts
- Comprehensive evaluation of the blast furnace status based on data mining and mechanism analysis
- Performance enhancement of commercial ethylene oxide reactor by artificial intelligence approach
- Study of catalytic hydrogenation performance for the Pd/CeO2 catalysts
- Performance of flow distribution in a microchannel parallel flow gas cooler with stepped protrusion depth header