References of "Industrial and Engineering Chemistry"
     in
Bookmark and Share    
Full Text
See detailResolving Multiphase Flow through Packed Bed of Solid Particles Using eXtended Discrete Element Method with Porosity Calculation
Baniasadi, Maryam UL; Peters, Bernhard UL

in Industrial and Engineering Chemistry (2017)

Multiphase flow reactors such as trickle bed reactors are frequently used reactors in many industries. Understanding the fluid dynamics of these kinds of reactors is necessary to design and optimize them ... [more ▼]

Multiphase flow reactors such as trickle bed reactors are frequently used reactors in many industries. Understanding the fluid dynamics of these kinds of reactors is necessary to design and optimize them. The pressure drop and liquid saturation are the most important hydrodynamic parameters in these reactors, which depend highly on the porosity distribution inside the bed. The eXtended Discrete Element Method (XDEM) was applied as a numerical approach to model multiphase flow through packed beds of solid particles. This method has the ability to be coupled with Computational Fluid Dynamics (CFD) through interphase momentum transfer which makes it suitable for many Eulerian− Lagrangian systems. The XDEM also calculates the porosity distribution along the bed, which not only eliminates the empirical correlations but also makes it possible to investigate the maldistribution of liquid saturation inside the bed. The results for the hydrodynamics parameters were compared with experimental data, and satisfactory agreement was achieved. [less ▲]

Detailed reference viewed: 161 (19 UL)
Full Text
See detailpathPSA: A Dynamical Pathway-Based Parametric Sensitivity
Perumal, Thanneer Malai UL; Gunawan, Rudiyanto

in Industrial and Engineering Chemistry (2014)

Normal functioning of biological systems relies on coordinated activities of biomolecules participating in a complex network of biological interactions. As human intuition is often incapable in analyzing ... [more ▼]

Normal functioning of biological systems relies on coordinated activities of biomolecules participating in a complex network of biological interactions. As human intuition is often incapable in analyzing how biological functions emerge from such complex interactions, the use of mathematical models and systems analysis tools has become critical in understanding biological system behavior. While biological functions have been associated with the connectivity (structure) and pathways of the network and the kinetics of the processes involved, most model analyses address each of these aspects separately. In contrast, we present a novel sensitivity analysis, called pathway-based parametric sensitivity analysis (pathPSA), which combines the analysis of both network structure and kinetics. Unlike existing sensitivity analyses, pathPSA relies on perturbing the kinetics of pathways in the network, using persistent perturbations or impulse perturbations at varying time. Consequently, the sensitivity coefficients can give insights on the dominant pathways in a network and any transient shift in the rate controlling mechanism. The efficacy of pathPSA is demonstrated through an application to understand competing signaling pathways in programmed cell death network. [less ▲]

Detailed reference viewed: 38 (0 UL)