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In this research, dispersed two-phase flow in SELM extraction is modeled using the Lagrangian method.
This makes it easy to calculate kinetic energy and so to build the dynamics model using the Lagrangian method.
The highly nonlinear under-actuated system is analyzed and a nonlinear dynamic model of the B2-train system is derived using the Lagrangian method.
The semi-analytical solutions to the radial, tangential and vertical effective stresses are obtained using the Lagrangian method and the elastic plastic (EP) boundary conditions.
Furthermore, a dynamic equation of the workpiece-fixture system considering the external damping factor is proposed using the Lagrangian method in terms of all the mode shape function and the generalized coordinate, and the response of system under the dynamic cutting force is calculated to evaluate the stability of the milling process under damping control.
In the next part, we solve this problem using the Lagrangian method and the Karush-Kuhn-Tucker (KKT) conditions.
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The work done by Korean author in 2002 uses the Lagrangian method with other software and he conclude that Lagrangian method is more precise than analytical methods.
Since the optimization problem in (13) is convex (the objective is convex and the constraints are linear), therefore we can use the Lagrangian method of multipliers to find the optimal 's [26].
One example of a method for solving convex optimisation problems is by using the Lagrangian duality method, usually with the application of the Karush-Kuhn-Tucker (KKT) conditions [44].
The dynamics are studied using the Lagrangian variational method, and analytical solutions are constructed with Jacobi elliptic functions.
Bonding conditions between layers are simulated by using the Lagrangian multipliers method and governing equations are obtained by a variational approach.
More suggestions(15)
using the lagrangian model
using the wet method
using the previous method
using the lagrangian manner
using the lagrangian duality
using the lagrangian energy
using the lagrangian particle
using the dry method
using the lagrangian grid
using the truncated method
using the former method
using the scientific method
using the lagrangian optimization
using the Spanish method
using the ∆∆Ct method
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