[图书][B] Multiphase flow handbook
E Michaelides, CT Crowe, JD Schwarzkopf - 2016 - books.google.com
The Multiphase Flow Handbook, Second Edition is a thoroughly updated and reorganized
revision of the late Clayton Crowe's work, and provides a detailed look at the basic concepts …
revision of the late Clayton Crowe's work, and provides a detailed look at the basic concepts …
Efficiency of uncertainty propagation methods for moment estimation of uncertain model outputs
S Mohammadi, S Cremaschi - Computers & Chemical Engineering, 2022 - Elsevier
Uncertainty quantification and propagation play a crucial role in designing and operating
chemical processes. This study computationally evaluates the performance of commonly …
chemical processes. This study computationally evaluates the performance of commonly …
Investigating biomass composition and size effects on fast pyrolysis using global sensitivity analysis and CFD simulations
It is notoriously difficult to build an accurate universal model for biomass pyrolysis due to its
sensitivity to a wide number of critical material attributes such as chemical species and …
sensitivity to a wide number of critical material attributes such as chemical species and …
The NETL MFiX Suite of multiphase flow models: A brief review and recent applications of MFiX-TFM to fossil energy Technologies
The MFiX suite of multiphase computational fluid dynamics (CFD) codes is being developed
at US Department of Energy's National Energy Technology Laboratory (NETL). It includes …
at US Department of Energy's National Energy Technology Laboratory (NETL). It includes …
Comparison of intrusive and nonintrusive polynomial chaos expansion-based approaches for high dimensional parametric uncertainty quantification and propagation
J Son, Y Du - Computers & Chemical Engineering, 2020 - Elsevier
We present an uncertainty quantification (UQ) algorithm using the intrusive generalized
polynomial chaos (gPC) expansion in combination with dimension reduction techniques and …
polynomial chaos (gPC) expansion in combination with dimension reduction techniques and …
Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes
Bayesian uncertainty quantification (UQ) is of interest to industry and academia as it
provides a framework for quantifying and reducing the uncertainty in computational models …
provides a framework for quantifying and reducing the uncertainty in computational models …
Intensifying multiphase reactions and reactors: strategies and examples
RP Utikar, VV Ranade - ACS Sustainable Chemistry & …, 2017 - ACS Publications
Intensification is intrinsic to better chemical and process engineering and has always been
used in practice. Multiphase reactions and reactors are ubiquitous in chemical and allied …
used in practice. Multiphase reactions and reactors are ubiquitous in chemical and allied …
Comprehensive multivariate sensitivity analysis of CFD-DEM simulations: Critical model parameters and their impact on fluidization hydrodynamics
The development of CFD-DEM is critical for investigating particle phenomena and their
coupling with reactor transport. However, there continues to be considerable uncertainty in …
coupling with reactor transport. However, there continues to be considerable uncertainty in …
Application of multiphase reaction engineering and process intensification to the challenges of sustainable future energy and chemicals
JB Powell - Chemical Engineering Science, 2017 - Elsevier
Multiphase reaction engineering and process intensification can play a critical role in
developing technologies to unlock the value and opportunities of shale gas, and to mitigate …
developing technologies to unlock the value and opportunities of shale gas, and to mitigate …
Numerical modeling and uncertainty quantification of a bubbling fluidized bed with immersed horizontal tubes
WA Lane, CB Storlie, CJ Montgomery, EM Ryan - Powder technology, 2014 - Elsevier
Within the field of computational fluid dynamics (CFD), uncertainty quantification (UQ) is
becoming increasingly important. Reporting simulation results without uncertainties can be …
becoming increasingly important. Reporting simulation results without uncertainties can be …