TY - JOUR
T1 - Modeling temperature-dependent properties of oxygen, argon, and nitrogen via response modeling methodology (RMM) and comparison with acceptable models
AU - Shore, Haim
AU - Benson-Karhi, Diamanta
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010/10/6
Y1 - 2010/10/6
N2 - In a recent paper, temperature-dependent properties of water were modeled via response modeling methodology (RMM), and the resultant models were compared to models obtained by TableCurve2D (a dedicated software for relational modeling), and to "Acceptable models", recommended by DIPPR (a widely used database for constant and temperature-dependent physical properties). In this paper, we extend the comparison to oxygen, argon and nitrogen. Model comparison has been conducted for 10 temperature-dependent physical and thermodynamic properties. Detailed results are reported in this paper. Summary tables, which rank the various models in terms of goodness-of-fit and stability over all properties, are provided. The three variations of the RMM model (two-, three-, and four-parameter models) compare favorably with other models, often with more parameters, in terms of both goodness-of-fit and stability. The unique desirable properties of RMM models are discussed.
AB - In a recent paper, temperature-dependent properties of water were modeled via response modeling methodology (RMM), and the resultant models were compared to models obtained by TableCurve2D (a dedicated software for relational modeling), and to "Acceptable models", recommended by DIPPR (a widely used database for constant and temperature-dependent physical properties). In this paper, we extend the comparison to oxygen, argon and nitrogen. Model comparison has been conducted for 10 temperature-dependent physical and thermodynamic properties. Detailed results are reported in this paper. Summary tables, which rank the various models in terms of goodness-of-fit and stability over all properties, are provided. The three variations of the RMM model (two-, three-, and four-parameter models) compare favorably with other models, often with more parameters, in terms of both goodness-of-fit and stability. The unique desirable properties of RMM models are discussed.
UR - http://www.scopus.com/inward/record.url?scp=77957560317&partnerID=8YFLogxK
U2 - 10.1021/ie100981y
DO - 10.1021/ie100981y
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AN - SCOPUS:77957560317
SN - 0888-5885
VL - 49
SP - 9469
EP - 9485
JO - Industrial and Engineering Chemistry Process Design and Development
JF - Industrial and Engineering Chemistry Process Design and Development
IS - 19
ER -