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Flow Regime Prediction Using Artificial Neural Networks for Air-Water Flow Through 1–5 mm Tubes in Horizontal Plane

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 339))

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Abstract

Artificial Neural Network (ANN) based techniques for the classifications of flow regimes in air-water flow through 1–5 mm tubes are presented. 218 data points are based on the experimental investigation in 3 and 4 mm tubes and 2114 data points from various experimental results from the published literature for air-water two-phase flow in small diameter tubes have been used. Five different well known artificial neural network models have been used to predict the flow regime. The ANN model based on Radial Basis Function and Principal Component Analysis gives better predictability over the other networks used.

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Abbreviations

N:

Number of data points

\( x \) :

Input value

\( y \) :

Output value

MSE:

Mean Square Error, \( \frac{1}{N}\sum\nolimits_{i = 1}^{N} {(x_{i} - y_{i} )^{2} } \)

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Author information

Authors and Affiliations

  1. Government College of Engineering and Leather Technology, LB Block, Sector III, Salt Lake City, 700 098, Kolkata, India

    Nirjhar Bar & Manindra Nath Biswas

  2. Chemical Engineering Department, University of Calcutta, 92 A. P. C. Road, Kolkata, 700 009, India

    Sudip Kumar Das

Authors
  1. Nirjhar Bar
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  2. Manindra Nath Biswas
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  3. Sudip Kumar Das
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Corresponding author

Correspondence to Nirjhar Bar .

Editor information

Editors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science & Engineering, University of Kalyani, Kalyani, India

    Anirban Mukhopadhyay

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Bar, N., Biswas, M.N., Das, S.K. (2015). Flow Regime Prediction Using Artificial Neural Networks for Air-Water Flow Through 1–5 mm Tubes in Horizontal Plane. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_82

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  • DOI: https://doi.org/10.1007/978-81-322-2250-7_82

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2249-1

  • Online ISBN: 978-81-322-2250-7

  • eBook Packages: EngineeringEngineering (R0)

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