Description

• Title:
  Neural network approach to compressor modelling with surge margin consideration
• Creator:
  Loryś, Sergiusz Michał;
  Orkisz, Marek
• Contributor:
  Loryś, Sergiusz Michał : Hamilton Sundstrand Poland / Pratt & Whitney AeroPower Rzeszów, Hetmanska 120, 35-078 Rzeszów, Poland;
  Orkisz, Marek : Rzeszow University of Technology, Department of Aerospace Engineering, Powstanców Warszawy 8, 35-959 Rzeszów, Poland
• Description:
  The aim of the quarterly journal Archives of Thermodynamics is to disseminate knowledge between scientists and engineers worldwide and to provide a forum for original research conducted in the field of thermodynamics, heat transfer, fluid flow, combustion and energy conversion in various aspects of thermal sciences, mechanical and power engineering. Besides original research papers, review articles are also welcome. The journal scope of interest encompasses in particular, but is not limited to: Classical and extended non-equilibrium thermodynamics, Thermodynamic analysis including exergy, Thermodynamics of heating and cooling, Thermodynamics of nuclear power generation, Thermodynamics in defense engineering, Advances in thermodynamics, Experimental, theoretical and numerical heat transfer, Heat and momentum transfer in multiphase flows and nanofluids, Renewable energy sources including solar energy, Hydrogen Energy, Thermal Energy Conversion, Energy Transition, Advanced Energy Carriers, Energy storage and efficiency, Energy in buildings, Secondary fuels and fuel conversion, Combustion and emissions, Thermal incineration of wastes and waste heat recovery, Thermal and energy system analysis, Combined and integrated energy systems, Distributed energy generation, Turbomachinery. Appears since 1980, four issues per year. Publication funding of this journal is provided by resources of the Polish Academy of Sciences and The Szewalski Institute of the Fluid-Flow Machinery of the Polish Academy of Sciences. Scoring assigned by the Polish Ministry of Science and Higher Education: 140 points IMPACT FACTOR 2022: 0.9 CiteScore metrics from Scopus, CiteScore 2022: 1.5 SCImago Journal Rank (SJR) 2022: 0.258 Source Normalized Impact per Paper (SNIP) 2022: 0.512 H-index: 17 Overall Rank/Ranking: 17629 Submit your article;
  Honorary Editor Jarosław Mikielewicz, The Szewalski Institute of Fluid-Flow Machinery PAS, Poland Editor-in-Chief Paweł Ocłoń, Cracow University of Technology, Cracow, Poland Section Editors Piotr Lampart, The Szewalski Institute of Fluid Flow Machinery PAS, Gdańsk, Poland S. Polesek-Karczewska, The Szewalski Institute of Fluid Flow Machinery PAS, Gdańsk, Poland I. Szczygieł, Silesian University of Technology, Gliwice, Poland A. Szlęk, Silesian University of Technology, Gliwice, Poland Members of Programme Committee P. Furmański, Warsaw University of Technology, Poland J. Badur, The Szewalski Institute of Fluid Flow Machinery PAS, Gdańsk, Poland T. Chmielniak, Silesian University of Technology, Gliwice, Poland D. Kardaś, The Szewalski Institute of Fluid Flow Machinery PAS, Gdańsk, Poland R. Kobyłecki, Częstochowa University of Technology, Częstochowa, Poland S. Pietrowicz, Wrocław University of Science and Technology, Wrocław, Poland J. Wajs, Gdańsk University of Technology, Gdańsk, Poland Managing Editor Jarosław Frączak, The Szewalski Institute of Fluid Flow Machinery PAS, Poland
• Object availability:
  free access
• Rights:
  <p>For articles published in <b>Archives of Thermodynamics</b>, the authors transfer copyright to publisher. <br><br>
• Date:
  2022.04.13
• Type:
  Article
• Coverage:
  89-108
• Publisher:
  The Committee of Thermodynamics and Combustion of the Polish Academy of Sciences and The Institute of Fluid-Flow Machinery Polish Academy of Sciences
• Subject:
  Modelling;
  Compressor map;
  Neural-network
• Identifier:
  ISSN 1231-0956;
  eISSN 2083-6023
• Data provider:
  Czasopisma PAN
• Can I use it?:
  seek permission
• Type:
  image