The predictions of the mechanistic model for separation results were very accurate.
In this paper, the numerical model for separation efficiency and transport in periodic porous media is studied.
The Langmuir-Hinshelwood-Hougen-Watson (LHHW) kinetic model and an equilibrium stage model for separation were employed to study the RD process.
In this paper, an extension of a classical analytical model for separation efficiency is proposed that accounts for the contributions provided by straight wall sections.
Firstly, we describe the use of a model for separation of cardiac 'non-functional' movement, in the design of a particle swarm optimization (PSO) algorithm to track and analyze the heart feature points, in order to achieve improved omni-directional M-mode echocardiography using tracking sampling lines.
Backward-Facing Step (BFS) flow is one representative model for separation flows, which can be widely seen in aerodynamic flows (airfoil, spoiler, high attack angle process), engine flows, condensers, vehicles (cars, boat), heat transfer systems, and even the flow around buildings, etc.
Living red blood cells (RBCs) of any origin have emerged as ideal models for cell separation development.
In this work, the design and optimization of conventional and intensified distillation sequences, with equilibrium and non-equilibrium models for the separation of ternary mixtures, is presented.
The approach can be implemented in three steps: (1) development of a linear map between the pose error twist and source errors within machine tool kinematic chains using homogeneous transformation matrix method; (2) formulation of a linear map between the pose error twist and the error intensities of a machine tool; (3) combination of these two models for error separation.
