Transactions of the Korean hydrogen and new energy society (한국수소및신에너지학회논문집)

The Korean Hydrogen and New Energy Society (한국수소및신에너지학회)
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The Research About Free Piston Linear Engine with Artificial Neural Network

인공 신경망을 이용한 프리피스톤 리니어 엔진의 연구

  • AHMED, TUSHAR (Graduate of Mechanical Engineering, University of Ulsan) ;
  • HUNG, NGUYEN BA (Graduate of Mechanical Engineering, University of Ulsan) ;
  • LIM, OCKTAECK (School of Mechanical Engineering, University of Ulsan)
  • Received : 2015.05.08
  • Accepted : 2015.06.30
  • Published : 2015.06.30
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Abstract

Free piston linear engine (FPLE) is a promising concept being explored in the mid-20th century. On the other hand, Arficial neural networks (ANNs) are non-linear computer algorithms and can model the behavior of complicated non-linear processes. Some researchers already studied this method to predict internal combustion engine characteristics. However, no investigation to predict the performance of a FPLE using ANN approach appears to have been published in the literature to date. In this study, the ability of an artificial neural network model, using a back propagation learning algorithm has been used to predict the in-cylinder pressure, frequency, maximum stroke length of a free piston linear engine. It is advised that, well-trained neural network models can provide fast and consistent results, making it an easy-to-use tool in preliminary studies for such thermal engineering problems.

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References

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