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Heat and Fluid Flow Analysis and ANN-Based Prediction of A Novel Spring Corrugated Tape

Author

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  • Basma Souayeh

    (Department of Physics, College of Science, King Faisal University, PO Box 400, Al-Ahsa 31982, Saudi Arabia
    Department of Physics, Laboratory of Fluid Mechanics, Faculty of Sciences of Tunis, Tunis 2092, Tunisia)

  • Suvanjan Bhattacharyya

    (Department of Mechanical Engineering, Birla Institute of Technology and Science Pilani, Pilani Campus, Vidhya Vihar, Pilani 333031, India)

  • Najib Hdhiri

    (Department of Physics, Laboratory of Fluid Mechanics, Faculty of Sciences of Tunis, Tunis 2092, Tunisia)

  • Mir Waqas Alam

    (Department of Physics, College of Science, King Faisal University, PO Box 400, Al-Ahsa 31982, Saudi Arabia)

Abstract

A circular tube fitted with novel corrugated spring tape inserts has been investigated. Air was used as the working fluid. A thorough literature review has been done and this geometry has not been studied previously, neither experimentally nor theoretically. A novel experimental investigation of this enhanced geometry can, therefore, be treated as a new substantial contribution in the open literature. Three different spring ratio and depth ratio has been used in this study. Increase in thermal energy transport coefficient is noticed with increase in depth ratio. Corrugated spring tape shows promising results towards heat transfer enhancement. This geometry performs significantly better (60% to 75% increase in heat duty at constant pumping power and 20% to 31% reduction in pumping power at constant heat duty) than simple spring tape. This paper also presented a statistical analysis of the heat transfer and fluid flow by developing an artificial neural network (ANN)-based machine learning (ML) model. The model is evaluated to have an accuracy of 98.00% on unknown test data. These models will help the researchers working in heat transfer enhancement-based experiments to understand and predict the output. As a result, the time and cost of the experiments will reduce. The results of this investigation can be used in designing heat exchangers.

Suggested Citation

  • Basma Souayeh & Suvanjan Bhattacharyya & Najib Hdhiri & Mir Waqas Alam, 2021. "Heat and Fluid Flow Analysis and ANN-Based Prediction of A Novel Spring Corrugated Tape," Sustainability, MDPI, vol. 13(6), pages 1-24, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3023-:d:514179
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    References listed on IDEAS

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    1. Saffarian, Mohammad Reza & Moravej, Mojtaba & Doranehgard, Mohammad Hossein, 2020. "Heat transfer enhancement in a flat plate solar collector with different flow path shapes using nanofluid," Renewable Energy, Elsevier, vol. 146(C), pages 2316-2329.
    2. Ahmadi, Mohammad Hossein & Ghazvini, Mahyar & Maddah, Heydar & Kahani, Mostafa & Pourfarhang, Samira & Pourfarhang, Amin & Heris, Saeed Zeinali, 2020. "Prediction of the pressure drop for CuO/(Ethylene glycol-water) nanofluid flows in the car radiator by means of Artificial Neural Networks analysis integrated with genetic algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 546(C).
    3. Karl Lindqvist & Zachary T. Wilson & Erling Næss & Nikolaos V. Sahinidis, 2018. "A Machine Learning Approach to Correlation Development Applied to Fin-Tube Bundle Heat Exchangers," Energies, MDPI, vol. 11(12), pages 1-16, December.
    4. Klemeš, Jiří Jaromír & Wang, Qiu-Wang & Varbanov, Petar Sabev & Zeng, Min & Chin, Hon Huin & Lal, Nathan Sanjay & Li, Nian-Qi & Wang, Bohong & Wang, Xue-Chao & Walmsley, Timothy Gordon, 2020. "Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    5. Ramezanizadeh, Mahdi & Ahmadi, Mohammad Hossein & Nazari, Mohammad Alhuyi & Sadeghzadeh, Milad & Chen, Lingen, 2019. "A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    6. Ahmadi, Mohammad Hossein & Baghban, Alireza & Sadeghzadeh, Milad & Hadipoor, Masoud & Ghazvini, Mahyar, 2020. "Evolving connectionist approaches to compute thermal conductivity of TiO2/water nanofluid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    7. Ji-Suk Yu & Jin-Hee Kim & Jun-Tae Kim, 2020. "Effect of Triangular Baffle Arrangement on Heat Transfer Enhancement of Air-Type PVT Collector," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    8. Jovic, Srdjan & Kalaba, Dragan & Zivkovic, Predrag & Virijevic, Aleksandar, 2019. "Potential of adaptive neuro-fuzzy methodology for investigation of heat transfer enhancement of a minichannel heat sink," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 516-524.
    9. Farzin Golzar & David Nilsson & Viktoria Martin, 2020. "Forecasting Wastewater Temperature Based on Artificial Neural Network (ANN) Technique and Monte Carlo Sensitivity Analysis," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    10. Shangyuan Chen & Jinfeng Mao & Xu Han & Chaofeng Li & Liyao Liu, 2016. "Numerical Analysis of the Factors Influencing a Vertical U-Tube Ground Heat Exchanger," Sustainability, MDPI, vol. 8(9), pages 1-12, September.
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    Cited by:

    1. Basma Souayeh & Suvanjan Bhattacharyya & Najib Hdhiri & Fayçal Hammami & Essam Yasin & S. Suresh Kumar Raju & Mir Waqas Alam & Tarfa Alsheddi & Muneerah Al Nuwairan, 2022. "Effect of Magnetic Baffles and Magnetic Nanofluid on Thermo-Hydraulic Characteristics of Dimple Mini Channel for Thermal Energy Applications," Sustainability, MDPI, vol. 14(16), pages 1-27, August.
    2. Mir Waqas Alam & Basma Souayeh, 2021. "Parametric CFD Thermal Performance Analysis of Full, Medium, Half and Short Length Dimple Solar Air Tube," Sustainability, MDPI, vol. 13(11), pages 1-30, June.

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