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Numerical simulation and parametric sensitivity study of titanium…
https://como.ceb.cam.ac.uk/media/preprints/c4e-226.pdf10 May 2019: Numerical simulation and parametric sensitivity study of titanium dioxide particles synthesised in a stagnation flame. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Numerical simulation and parametric -
Frame_C3287.dvi
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-1.pdf1 May 2019: al. [24]. 10. Figure 4: Process flow diagram of the carbon black furnace simulation. ... The same trend was observed in Ref. [24]; however, for slow mixing the modelpredicts a reverse trend, i.e. -
c4e10-frame.dvi
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-10.pdf1 May 2019: Eibeck & Wagner [24], and Wagner [26] describe the new approach which they callthe mass flow algorithm. ... 24. 0. 2. 4. 6. 8. 0 5 10 15 20 25 30 35. -
Theoretical insights into the surface growth of rutile TiO2
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-100.pdf1 May 2019: 17. 4.3 Recommended model. 19. 5 Conclusions 21. Appendix A; partition functions 24. ... 24). If all concentrations are known at some time t0,. [TiCl4](t0) = [TiCl4. -
A transferable electrostatic model for intermolecular interactions…
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-101.pdf1 May 2019: The charges weretaken from earlier work [12, 15] in which effective atomic charges were calculated usingHückel MO theory and Mulliken population analysis [24]. ... Chemical Physics Letters, 456(1-3):105–109, 2008. doi:10.1016/j.cplett.2008.02.113. [24 -
Synthesis of silicon nanoparticles with a narrow size distribution: a …
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-102.pdf1 May 2019: Thus, the higher values of NSi,minwhich appear to satisfy experimental conditions (values 17–24) can be excluded. ... Journal of Aerosol Science, 41:1008–1019, 2010. [24] M. Kraft and S. -
A multidimensional population balance model to describe the aerosol…
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-103.pdf1 May 2019: old for surface rounding (0 σ 2) [24], and is a free parameter in the currentmodel. • ... doi:10.1080/02786820903092416. 25. 24] M. Sander, R. I. A. Patterson, A. Braumann, A. -
Iterative improvement of Bayesian parameter estimates for an engine…
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-104.pdf1 May 2019: Computers and Chemical Engineering, 24(2–7):1261–1267, 2000.doi:10.1016/S0098-1354(00)00328-8. [2] Y. Bard. Nonlinear Parameter Estimation. ... Stable URL:http://www.jstor.org/stable/2680584. [24] P.-S. Koutsourelakis. Accurate uncertainty -
On a multivariate population balance model to describe the structure…
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-105.pdf1 May 2019: The applications of this detailedmodel to study the problems related to chemical and process engineering are reportedelsewhere [24]. ... Thisproperty is often of importance for many size-sensitive industrial applications suchas catalysis, support -
Multiobjective optimization of a kinetics-based HCCI model using…
https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-106.pdf1 May 2019: Multiobjective optimization of a kinetics-based HCCI model using engine data. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Multiobjective optimization of a kinetics-basedHCCI model using engine data. Ali
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