A unified integral interpretation of thermal analysis data
(Eng) Most integral methods for thermal analysis data use linear regressions based on some approximate representation of the temperature integral. But this approach is inconvenient because there are many approximations and each one can produce a different result for the same data set. This work show...
- Autores:
-
Carrero Mantilla, Javier Ignacio
Rojas González, Andres F.
Cárdenas Giraldo, J.M.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad del Valle
- Repositorio:
- Repositorio Digital Univalle
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.univalle.edu.co:10893/18396
- Acceso en línea:
- https://hdl.handle.net/10893/18396
- Palabra clave:
- Función gama incompleta
Regresión no lineal
Integral de temperatura
Análisis termogravimétrico
Incomplete gamma function
Non-linear regression
Temperature integral
Thermogravimetric analysis
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
| Summary: | (Eng) Most integral methods for thermal analysis data use linear regressions based on some approximate representation of the temperature integral. But this approach is inconvenient because there are many approximations and each one can produce a different result for the same data set. This work shows how to reduce the search of kinetic parameters to a non-linear regression calculating the temperature integral through the incomplete gamma function. In this way the use of approximations is avoided and dependence of the preexponential factor on temperature can be included in the model. An isoconversional analysis of a data set available in the literature is used to explain the proposed method. |
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