신경회로망을 사용한 증기표 전체 영역의 모델링open accessModelling for the full ranges of the steam table using neural networks
- Other Titles
- Modelling for the full ranges of the steam table using neural networks
- Authors
- 이태환; 박진현
- Issue Date
- 2018
- Publisher
- 한국기계기술학회
- Keywords
- Steam table(증기표); Neural networks(신경회로망); Compressed region(압축영역); Saturated region(포화영역); Superheated region(과열영역); Interpolation method(보간법)
- Citation
- 한국기계기술학회지, v.20, no.1, pp 82 - 88
- Pages
- 7
- Indexed
- KCI
- Journal Title
- 한국기계기술학회지
- Volume
- 20
- Number
- 1
- Start Page
- 82
- End Page
- 88
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/12227
- DOI
- 10.17958/ksmt.20.1.201802.82
- ISSN
- 1229-604X
2508-3805
- Abstract
- 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.
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Collections - 융합기술공과대학 > Division of Mechatronics Engineering > Journal Articles

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