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신경회로망을 사용한 증기표 전체 영역의 모델링 Modelling for the Full Ranges of the Steam Table using Neural Networks

이태환, 박진현
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한국기계기술학회지 (韓國機械技術學會誌)
제20권 제1호 (2018.02)
pp.82-89
한국기계기술학회 (Korean Society of Mechanical Technology)
초록

Simultaneous modelling was carried out using the neural networks with three inputs including a distinguishing variable for the steam table. It covered whole steam tables including the compressed, saturated and superheated region of water. And relative errors of the thermodynamic properties such as specific volume, enthalpy, entropy were compared using the neural networks and the linear interpolation method. As a result of the analysis, The neural networks has proven to be powerful in modeling the steam table because it has slightly better results than the interpolation method.

키워드
Steam table(증기표)Neural networks(신경회로망)Compressed region(압축영역)Saturated region(포화영역)Superheated region(과열영역)Interpolation method(보간법)
목차
1. 서 론
 2. 해 석
  2.1 상태량(state variable)
  2.2 신경회로망(neural networks)
  2.3(보간법 interpolation method)
 3. 결과 및 검토
 4. 결 론
 후 기
 References
저자
  • 이태환(Mechatronics Eng., Gyeongnam Nat‘l Univ. of Science and Technology) | Tae-Hwan Lee
  • 박진현(Mechatronics Eng., Gyeongnam Nat‘l Univ. of Science and Technology) | Jin-Hyun Park Corresponding Author