Validation of thermophysical data for scientific and engineering applications
| Autor: | Eugene Paulechka, Joseph W. Magee, Vladimir Diky, Vikina Martinez, Kenneth Kroenlein, Ala Bazyleva, Demian Riccardi |
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| Rok vydání: | 2020 |
| Předmět: |
010304 chemical physics
Chemistry business.industry media_common.quotation_subject Data validation 02 engineering and technology 01 natural sciences Atomic and Molecular Physics and Optics Article Reliability engineering Consistency (database systems) Software 020401 chemical engineering 0103 physical sciences Range (statistics) NIST General Materials Science Quality (business) 0204 chemical engineering Physical and Theoretical Chemistry business Research center Reliability (statistics) media_common |
| Zdroj: | The Journal of chemical thermodynamics. 133 |
| ISSN: | 0021-9614 |
| Popis: | High quality thermophysical property data are essential to many scientific and engineering applications. These data are produced at a high rate and are affected by a range of experimental and reporting error sources that often exceed stated uncertainties. As a result, critical evaluation is required to establish the limits of reliability in a quantified way. The present work describes reporting recommendations and property data validation methods developed and applied at the Thermodynamics Research Center at NIST through the use of the ThermoData Engine (TDE; SRD 103a/b) software. Examples are provided with an emphasis on various consistency checks, which may include the use of equations of state (EOS). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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