Kinetics of liquid phase alkylation of benzene with dodecene over mordenite
Bibliographic record
Abstract
This paper presents the kinetics investigation of liquid phase alkylation of benzene with dodecene using mordenite having Si/Al = 20. The models are developed based on physicochemical characterization of the catalyst and a laboratory scale fixed bed reactor data. The FTIR analysis shows that approximately 90 % of the acidic sites are Brønsted acid type while the remaining 10 % are Lewis acid type. The kinetic experiments are conducted with 6:1 molar ratio of benzene to dodecene at four different temperature levels between 80 to 140 °C. The product analysis shows that the main alkylation product is 2‐phenyldodecane. At lower temperature, the concentration of dodecene isomers is significant. On the other hand at higher temperature linear alkylbenzene isomers are the dominating products. The kinetic models are formulated considering simultaneous dodecene isomerization and benzene alkylation. The reaction rate parameters are estimated by fitting of the experimental data implemented in MATLAB. The adequacy of the estimated model parameters are verified by thermodynamic consistency and statistical fitting indicators. The activation energy for protonation of 1‐dodecene to 2‐dodecene found to be significantly lower (34 kJ/mol) than that of the 2‐dodecene to 3‐dodecene reaction (51 kJ/mol). The activation energies of surface alkylations of benzene to 2‐phenyldodecane and 3‐phenyldodecane are 49 kJ/mol and 66 kJ/mol, respectively.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".