| Author(s) |
Miron, David J
Kendell, Shane
Munshi, Alaa M
Alanazi, Abdullah K
Brown, Trevor C
|
| Publication Date |
2013
|
| Abstract |
Time-varying linear regression via flexible least squares is used to determine temperature-dependent kinetic parameters during low-pressure, steady-state, temperature-programmed desorption from catalytic surfaces. The flexible least squares approach optimizes time-varying parameters by minimizing dynamic and measurement discrepancies between a linear theoretical model and experimental data using linear regression. The effectiveness of this approach is demonstrated by calculation of accurate temperature-dependent activation energies, preexponential factors, and differential conversion functions for the evolution of 3-methyl-2-oxetanone (β-lactone) during the selective oxidation of isobutane over aluminum phosphomolybdates.
|
| Citation |
International Journal of Chemical Kinetics, 45(6), p. 374-386
|
| ISSN |
1097-4601
0538-8066
|
| Link | |
| Language |
en
|
| Publisher |
John Wiley & Sons, Inc
|
| Title |
Time-Varying Flexible Least Squares for Thermal Desorption of Gases
|
| Type of document |
Journal Article
|
| Entity Type |
Publication
|
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