Consequently, an optimization model, based on a linear analytical model, is proposed to eliminate flow maldistribution.
In this work, a direct computational fluid dynamics (CFD) modelling approach is proposed to simulate flow behaviour in monolithic porous columns.
Furthermore, a modeling framework is proposed to describe flow-induced crystallization of isotactic polypropylene.
Two-dimensional interpolation-supplemented and Taylor-series expansion-based lattice Boltzmann method (ITLBM) is proposed to simulate flows in the non-uniform grids.
Furthermore, a QoS-aware dynamic flow allocation is proposed to enable optimal flow routes selection upon the given network slicing with QoS provisioning.
Finally, a quantitative method is proposed to describe the flow characteristics of an oscillating flow including porous media, which is expected to improve the design methods of oscillating-flow-based devices.
A mathematical single-phase flow model incorporating pseudo TPG is proposed to describe the flow behavior in low permeability reservoirs.
A new mathematical method for estimating velocity vectors from color Doppler datasets is proposed to image blood flow dynamics; this method has been called echodynamography or vector flow mapping (VFM).
In addition, a dynamic boundary tracking method is proposed to simulate variable flow domains at different floods, especially, when the moderate scale gird can not describe flows in narrow river-network channels at low water levels.
Furthermore, a feed-forward control (FFC) strategy is proposed to deal with feed flow disturbances that occur during the operation of the PFC.
