A neural network-based prediction of oscillatory heat transfer coefficient in a thermo-acoustic device heat exchanger

M. G.K. Machesa, L. K. Tartibu, F. K. Tekweme, M. O. Okwu, D. E. Ighravwe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The growing electricity demand in the world has brought about significant challenges in her economic development. This concern has prompted the need for electricity generation from different technologies, such as the thermo-acoustic engines. These engines are low-cost electrical power generators. They are alternative and sustainable solutions for electricity generation in developing countries because they generate clean energy. Although the engines have good thermal efficiencies, their oscillatory heat transfer coefficient (O H T C) estimation is often a challenging task. This study, therefore, considers the evaluation of thermo-acoustic engines O H T C using aranciai neural network (ANN) model. The input parameters considered are frequency and mean pressure. Experimental data from literature were used to evaluate different hidden-layer architectures of the network configuration. It was concluded that the best solution was obtained with a root mean square error of 0.64 from a model with 4-10-2 architecture.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings
EditorsSameerchand Pudaruth, Upasana Singh
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728167701
DOIs
Publication statusPublished - Aug 2020
Event2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Durban, KwaZulu Natal, South Africa
Duration: 6 Aug 20207 Aug 2020

Publication series

Name2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings

Conference

Conference2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020
Country/TerritorySouth Africa
CityDurban, KwaZulu Natal
Period6/08/207/08/20

Keywords

  • Artificial Neural Network
  • Heat exchanger
  • Oscillatory Heat Transfer Coefficient
  • Thermo-acoustic

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems and Management

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