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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
이태환박진현
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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융합기술공과대학 > Division of Mechatronics Engineering > Journal Articles

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Park, Jin Hyun
IT공과대학 (메카트로닉스공학부)
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