257 research outputs found
Phase behaviour and dynamics in primitive models of molecular ionic liquids
The phase behaviour and dynamics of molecular ionic liquids are studied using
primitive models and extensive computer simulations. The models account for
size disparity between cation and anion, charge location on the cation, and
cation-shape anisotropy, which are all prominent features of important
materials such as room-temperature ionic liquids. The vapour-liquid phase
diagrams are determined using high-precision Monte Carlo simulations, setting
the scene for in-depth studies of ion dynamics in the liquid state. Molecular
dynamics simulations are used to explore the structure, single-particle
translational and rotational autocorrelation functions, cation orientational
autocorrelations, self diffusion, viscosity, and frequency-dependent
conductivity. The results reveal some of the molecular-scale mechanisms for
charge transport, involving molecular translation, rotation, and association.Comment: 15 pages, 7 figure
Charge ordering induces a smectic phase in oblate ionic liquid crystals
We report a computer simulation study of an electroneutral mixture of
oppositely charged oblate ellipsoids of revolution with aspect ratio A = 1/3.
In contrast to hard or soft repulsive ellipsoids, which are purely nematic,
this system exhibits a smectic-A phase in which charges of equal sign are
counterintuitively packed in layers perpendicular to the nematic director
A convergence analysis of the affine particle-in-cell method and its application in the simulation of extrusion processes
Simulation of extrusion processes represents a large challenge for commonly used numerical methods. In our application for example, a hot melt is extruded whilst being rapidly cooled. Under these conditions of quenching, spinodal phase separation occurs which causes the formation of a characteristic micro-structure of the extrudate, consisting of solid and liquid phases. We model this process using a variant of the Material Point Method (MPM) [4], namely the Affine Particle-In-Cell (APIC) method [13]. Its hybrid particle/grid character is advantageous for simulating both fluid and solid behavior: pure Eulerian particle methods, such as classic SPH, fail for simulating solids, particularly in tension, whereas pure Lagrangian methods generally cannot cope with large deformations caused by material flow. APIC improves upon the original MPM method by using a so-called locally affine velocity representation [13] which allows the conservation of linear and angular momentum without the need of potentially unstable Fluid-Implicit-Particle (FLIP) techniques [3]. We analyze the convergence behavior of APIC and compare its accuracy against a traditional MPM variant, the Generalized Interpolation Material Point Method (GIMP)
Strain measurement by contour analysis
Background: The determination of yield stress curves for ductile metals from
uniaxial material tests is complicated by the presence of tri-axial stress
states due to necking. A need exists for a straightforward solution to this
problem. Objective: This work presents a simple solution for this problem
specific to axis-symmetric specimens. Equivalent uniaxial true strain and true
stress, corrected for triaxiality effects, are calculated without resorting to
inverse analysis methods. Methods: A computer program is presented which takes
shadow images from tensile tests, obtained in a backlight configuration. A
single camera is sufficient as no stereoscopic effects need to be addressed.
The specimen's contours are digitally extracted, and strain is calculated from
the contour change. At the same time, stress triaxiality is computed using a
novel curvature fitting algorithm. Results: The method is accurate as
comparison with manufactured solutions obtained from Finite Element simulations
show. Application to 303 stainless steel specimens at different levels of
stress triaxiality show that equivalent uniaxial true stress -- true strain
relations are accurately recovered. Conclusions: The here presented computer
program solves a long-standing challenge in a straightforward manner. It is
expected to be a useful tool for experimental strain analysis
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