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Prediction of compressor nominal characteristics of a turboprop engine using artificial neural networks for build standard assessment

  • C. Jagadish Babu , Mathews P. Samuel , Antonio Davis and R. K. Mishra EMAIL logo
Published/Copyright: February 21, 2023
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Abstract

Compressor characteristics of a single spool turboprop engine have been studied in this paper. It has been brought outhow constant power lines in the compressor characteristics of these compressors make them different from others. Constant speed lines and constant power lines have also been highlighted. A novel method of modeling of compressorof a single spool turboprop engine has also been studied in this paper. Application of neural networks in prediction of compressor characteristics has been investigated. Multilayer Perceptron feed forward neural network has been considered with different transfer functions to assess the potential capability of network in extrapolation and interpolation. Effectiveness of prediction with and without engine bleed valve open and anti-ice valve open situations have been assessed. Network Predictionshas been compared with engine test data to assess the accuracy of prediction and to quantify the build variation in the manufacture of engines. Capability of network with limited test data to predict the complete performance has also been assessed and presented in this paper.


Corresponding author: R. K. Mishra, Regional Center for Military Airworthiness (Engines), Bangalore, India,

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-05-12
Accepted: 2020-05-20
Published Online: 2023-02-21
Published in Print: 2023-03-28

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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