Parameter estimation for comprehensive pyrolisis modeling (Record no. 193244)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02424nab a2200193 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2015 xxu |
| 245 00 - TITULO | |
| Título | Parameter estimation for comprehensive pyrolisis modeling |
| Subtítulo | Guidance and critical observations |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | mar. 2015 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 06/01/2020 ; 06/01/2020 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 34 p. ; 443-477 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Transcripción del resumen del autor. A process for conducting parameter estimation for comprehensive pyrolysis models is proposed in this study based on the authors’ experience and opinions. This estimation process was developed with following principles and approaches: (1) parameter estimation is about being consistent, applying engineering common-sense and correctly following the steps in this guide; (2) parameter estimation is conducted by breaking down the problem into groups of unknowns of similar character and considering them separately; (3) parameter estimation is conducted in consideration of an appropriate complexity in model set-up using certain approximations for simplifications; and (4) parameter estimation is conducted with direct measurements of parameters from independent experiments, literature search and/or numerical optimization paired with certain pyrolysis models. Additionally, limitations in parameter estimation are discussed by considering example cases. They are shown to demonstrate how simplifying the microstructure, modeling thermal decomposition kinetics and applying numerical optimization methods affect the estimation results. The process developed is applied to modeling of real-world materials: thermoplastics, corrugated cardboard, fiberglass reinforced polymer composites and plywood. Understanding the limitations in parameter estimation, it was noted that (1) the estimated parameter values are compensated by other parameter values in a parameter set allowing optimization methods to optimize for multiple optimal, linked parameter sets; however, (2) when modeling is well-configured with appropriate complexity, the optimized parameter values may become closer to those of independent measurements, highlighting the possibility of utilizing optimization methods to estimate for effective material properties. |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 2 |
| 773 0# - CORRECCIÓN | |
| Título | Fire Technology |
| Partes relacionadas | |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Kim, E. |
| 9 (RLIN) | 59291 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Dembsey, N. |
| 9 (RLIN) | 59292 |
| Biblioteca propietaria | Biblioteca actual | Fecha de adquisición | Inventario | Total de préstamos | Inventario | Fecha de carga | Tipo de item KOHA |
|---|---|---|---|---|---|---|---|
| Biblioteca Alejandro Angel Bulgheroni | Biblioteca Alejandro Angel Bulgheroni | 06/03/2026 | 200065560 | 200065560 | 06/03/2026 | Artículo de Revista |
