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
- 이태환; 박진현
- 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

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