Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

증기표의 과열, 포화 및 압축영역의 신경회로망 모델링open accessNeural Network Modeling for the Superheated, Saturated and Compressed Region of Steam Table

Other Titles
Neural Network Modeling for the Superheated, Saturated and Compressed Region of Steam Table
Authors
이태환박진현
Issue Date
2018
Publisher
한국기계기술학회
Keywords
Neural networks(신경회로망); Steam table(증기표); Superheated region(과열영역); Saturated region(포화영역); Compressed region(압축영역); Interpolation method(보간법)
Citation
한국기계기술학회지, v.20, no.6, pp 872 - 878
Pages
7
Indexed
KCI
Journal Title
한국기계기술학회지
Volume
20
Number
6
Start Page
872
End Page
878
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/12072
DOI
10.17958/ksmt.20.6.201812.872
ISSN
1229-604X
2508-3805
Abstract
Steam tables including superheated, saturated and compressed region were simultaneously modeled using the neural networks. Pressure and temperature were used as two inputs for superheated and compressed region. On the other hand Pressure and dryness fraction were two inputs for saturated region. The outputs were specific volume, specific enthalpy and specific entropy. The neural network model were compared with the linear interpolation model in terms of the percentage relative errors. The criterion of judgement was selected with the percentage relative error of 1%. In conclusion the neural networks showed better results than the interpolation method for all data of superheated and compressed region and specific volume of saturated region, but similar for specific enthalpy and entropy of saturated region.
Files in This Item
There are no files associated with this item.
Appears in
Collections
융합기술공과대학 > Division of Mechatronics Engineering > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Jin Hyun photo

Park, Jin Hyun
IT공과대학 (메카트로닉스공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE