Methodological support for the selection of simplified equations of state for modeling technical fluids
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Methodological support for the selection of simplified equations of state for modeling technical fluids. / Schimanowski, Alex; Seibel, Arthur; Schlattmann, Josef.
ASME 2017 International Mechanical Engineering Congress and Exposition: Volume 11: Systems, Design, and Complexity. The American Society of Mechanical Engineers(ASME), 2017. V011T15A027 (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Band 11).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Methodological support for the selection of simplified equations of state for modeling technical fluids
AU - Schimanowski, Alex
AU - Seibel, Arthur
AU - Schlattmann, Josef
N1 - Conference code: 3
PY - 2017/11/3
Y1 - 2017/11/3
N2 - Many technical applications require accurate predictions of the thermodynamical state of the process fluid, which can be estimated from mathematical equations of state (EoS). Though the existing EoS are sufficiently accurate in the wide operating ranges for various technical fluids, they differ in terms of the complexity, and thus in computation costs. Therefore, for modeling and simulation of large technical systems, preferably simple and sufficiently accurate EoS are desired. The proposed approach presents a methodological support for the selection of appropriate EoS not only considering its accuracy but also its complexity. Furthermode, a cryogenic application involving nitrogen is used to demonstrate the proposed approach.
AB - Many technical applications require accurate predictions of the thermodynamical state of the process fluid, which can be estimated from mathematical equations of state (EoS). Though the existing EoS are sufficiently accurate in the wide operating ranges for various technical fluids, they differ in terms of the complexity, and thus in computation costs. Therefore, for modeling and simulation of large technical systems, preferably simple and sufficiently accurate EoS are desired. The proposed approach presents a methodological support for the selection of appropriate EoS not only considering its accuracy but also its complexity. Furthermode, a cryogenic application involving nitrogen is used to demonstrate the proposed approach.
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85040928140&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/a359b5c6-1459-32f2-b66b-7d0496538222/
U2 - 10.1115/IMECE2017-70881
DO - 10.1115/IMECE2017-70881
M3 - Article in conference proceedings
AN - SCOPUS:85040928140
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - ASME 2017 International Mechanical Engineering Congress and Exposition
PB - The American Society of Mechanical Engineers(ASME)
T2 - ASME 2017 International Mechanical Engineering Congress and Exposition - IMECE 2017
Y2 - 3 November 2017 through 9 November 2017
ER -