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ANFIS Prediction Using Neuro-Fuzzy Model of Experimental Study on Concentric Tube Heat Pipe Heat Exchanger Using Acetone

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Materials, Design and Manufacturing for Sustainable Environment

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

To safeguard the electronic cooling systems and also to utilize the excess heat in the components, the heat pipe is implemented. The study deals with the design of a concentric tube heat pipe heat exchanger (CTHPHE) using acetone and water. The investigation is carried out for (0° and 90°) and further with inclination angles (10°–80°). The result shows that the higher values are obtained for 0° than 90°, similarly in case of inclination angles, the 60º possess maximum while relating with 10°. The increment in effectiveness, heat transfer coefficient, observed for 60° than 10° as 36.3%, 58.49%. The observed average experimental value for effectiveness as 50.84% and predicted value as 49.52%. The experiment it is warranted for acetone demonstrated enhanced results, and results are compared with numerical analysis using neuro-fuzzy system. The results indicated that the heat pipe heat exchanger appropriateness for application involving heat dissipation in waste heat recovery systems.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India

    P. Ramkumar & M. Sivasubramanian

  2. Department of Mechanical Engineering, Government College of Engineering, Bargur, Tamil Nadu, 635104, India

    A. Kajavali

  3. Department of Mechanical Engineering, Government Polytechnic College, Melur, Tamil Nadu, India

    S. Ramasamy

  4. Department of Mechanical Engineering, Periyar Maniammai Institute of Technology, Thanjavur, Tamil Nadu, India

    C. M. Vivek

Authors
  1. P. Ramkumar
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  2. A. Kajavali
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  3. S. Ramasamy
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  4. C. M. Vivek
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  5. M. Sivasubramanian
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Corresponding author

Correspondence to P. Ramkumar .

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Editors and Affiliations

  1. Department of Mechanical and Mechatronic Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, Malaysia

    Elango Natarajan

  2. Department of Production Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India

    S. Vinodh

  3. Department of Mechanical Engineering, PSG Institute of Technology and Applied Research, Coimbatore, India

    V. Rajkumar

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Ramkumar, P., Kajavali, A., Ramasamy, S., Vivek, C.M., Sivasubramanian, M. (2023). ANFIS Prediction Using Neuro-Fuzzy Model of Experimental Study on Concentric Tube Heat Pipe Heat Exchanger Using Acetone. In: Natarajan, E., Vinodh, S., Rajkumar, V. (eds) Materials, Design and Manufacturing for Sustainable Environment. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-3053-9_47

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  • DOI: https://doi.org/10.1007/978-981-19-3053-9_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-3052-2

  • Online ISBN: 978-981-19-3053-9

  • eBook Packages: EngineeringEngineering (R0)

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