The manufacture of nitrocellulose, which is the basis of most artillery, tank, mortar and rocket propellant is intrinsically risky due to the energetic nature of the product and the sensitivity of the process. To optimise the performance of the nitrator, computational fluid dynamics (CFD) technology was employed to initially select a suitable impeller design and subsequently used to select an a...

A general methodology that involves geometric configuration of the network structure for studying multistability and multiperiodicity is developed. We consider a general class of nonautonomous neural networks with delays and various activation functions. A geometrical formulation that leads to a decomposition of the phase space into invariant regions is employed. We further derive criteria unde...

We discuss the observational phenomenology of Seyferts from the point of view of the disk model, and argue that the spectral variability may be related to geometrical changes of the cold matter which provides a source of seed photons for Comptonization in a hot central disk. One possible configuration is a model with quasi-spherical accretion in the central part of the disk, with variability de...

A mathematical programming problem is proposed for form-finding of cable domes. The optimality conditions of the problem are derived to guarantee that the optimal solution coincides with the self-equilibrium configuration of the cable dome with specified member axial forces. The number of independent axial forces is investigated under the geometrical constraints as well as equilibrium condition...

We develop a new algorithm for the computation of the geometrical shock dynamics model (GSD). The method relies on the fast-marching paradigm and enables the discrete evaluation of the first arrival time of a shock wave and its local velocity on a cartesian grid. The proposed algorithm is based on a second order upwind finite difference scheme and reduces to a local nonlinear system of two equa...

The advent of high speed microcomputers and available software has made possible the calculation of magnetic fields and torques of brushless DC motors. In particular, the Boundary Element Method (BEM) has shown to be an efficient tool for the design of these motors. This paper explains the BEM approach and addresses the key concerns facing the design engineer using such software, i.e. the ease ...

The present report describes a novel method of reconstructing three-dimensional (3-D) scenes that include block-like objects observed in monocular images. The objects are represented by 3-D rigid models with geometrical parameters. The fidelity of these object models to the images and the consistency of relations between the object models are formulated using the Markov Random Field (MRF) model...

We review a number a recent advances in the study of two-dimensional statistical models with strong geometrical constraints. These include folding problems of regular and random lattices as well as the famous meander problem of enumerating the topologically inequivalent configurations of a meandering road crossing a straight river through a given number of bridges. All these problems turn out t...

Two different designs, A and B, with notable different geometrical parameters, were compared. The S-Stent was simulated to expand from its as cut configuration on a hyperelastic balloon model under physiological deployment pressure (below 18 atm). The numerical simulation results reveal that stent B, at diametric expansion of 3.3mm OD, experiences a 50.5% reduction in plastic strain and 10% les...

High-resolution X-ray computed tomography is employed to obtain the exact 3D geometrical configuration of porous anisotropic ceria applied in solar-driven thermochemical cycles for splitting H2O and CO2. The tomography data are, in turn, used in direct pore-level numerical simulations for determining the morphological and effective heat/mass transport properties of porous ceria, namely: porosit...