4,178 research outputs found
Computational aspects of a three dimensional non-intrusive particle motion tracking system
Development of a technique for non-intrusive particle motion tracking in three dimensions is considered. This technique is based on the principle of magnetic induction. In particular, the determination of the position and onentation of the particle from the information gathered is the pnncipal focus of this thesis. The development of such a system is motivated by the need to understand the flow patterns of granular material. This is of cntical importance in dealing with problems associated with bulk solids flows which occur in almost all industries and in natural geological events. A study of the current diagnostic techniques reveals the limitations in their ability to track the motion of an individual particle in a mass flow of other particles. These techniques fail when the particle must be tracked in three dimensions in a non-intrusive manner. The diagnostic technique we consider results in an unconstrained minimization problem of an overdetennined system of nonlinear equations. The Levenberg-Marquardt algorithm is used to solve such a system to predict the location of the particle. The viability of this technique is established through simulated and actual expenmental results. Practical problems such as the effect of noise are considered. Directions for future work are provided
Understanding Trade-offs in Stellarator Design with Multi-objective Optimization
In designing stellarators, any design decision ultimately comes with a
trade-off. Improvements in particle confinement, for instance, may increase the
burden on engineers to build more complex coils, and the tightening of
financial constraints may simplify the design and worsen some aspects of
transport. Understanding trade-offs in stellarator designs is critical in
designing high performance devices that satisfy the multitude of physical,
engineering, and financial criteria. In this study we show how multi-objective
optimization (MOO) can be used to investigate trade-offs and develop insight
into the role of design parameters. We discuss the basics of MOO, as well as
practical solution methods for solving MOO problems. We apply these methods to
bring insight into the selection of two common design parameters: the aspect
ratio of an ideal magnetohydrodynamic equilibrium, and the total length of the
electromagnetic coils
Direct stellarator coil design using global optimization: application to a comprehensive exploration of quasi-axisymmetric devices
Many stellarator coil design problems are plagued by multiple minima, where
the locally optimal coil sets can sometimes vary substantially in performance.
As a result, solving a coil design problem a single time with a local
optimization algorithm is usually insufficient and better optima likely do
exist. To address this problem, we propose a global optimization algorithm for
the design of stellarator coils and outline how to apply box constraints to the
physical positions of the coils. The algorithm has a global exploration phase
that searches for interesting regions of design space and is followed by three
local optimization algorithms that search in these interesting regions (a
"global-to-local" approach). The first local algorithm (phase I), following the
globalization phase, is based on near-axis expansions and finds stellarator
coils that optimize for quasisymmetry in the neighborhood of a magnetic axis.
The second local algorithm (phase II) takes these coil sets and optimizes them
for nested flux surfaces and quasisymmetry on a toroidal volume. The final
local algorithm (phase III) polishes these configurations for an accurate
approximation of quasisymmetry. Using our global algorithm, we study the
trade-off between coil length, aspect ratio, rotational transform, and quality
of quasi-axisymmetry. The database of stellarators, which comprises almost
140,000 coil sets, is available online and is called QUASR, for
"QUAsi-symmetric Stellarator Repository"
Component based performance simulation of HVAC systems
The design process of HVAC (Heating, Ventilation and Air
Conditioning) systems is based upon selecting suitable components and
matching their performance at an arbitrary design point, usually
determined by an analysis of the peak environmental loads on a
building. The part load operation of systems and plant is rarely
investigated due to the complexity of the analysis and the pressure
of limited design time. System simulation techniques have been
developed to analyse the performance of specific commonly used
systems: however these 'fixed menu, simulations do not permit
appraisal of hybrid and innovative design proposals.
The thesis describes research into the development of a component
based simulation technique in which any system may be represented by
a network of components and their interconnecting variables. The
generalised network formulation described is based upon the
engineer's schematic diagram and gives the designer the same
flexibility in simulation as is available in design. The formulation
of suitable component algorithms using readily available performance
data is discussed, the models developed being of a 'lumped parameter'
steady state form.
The system component equations are solved simultaneously for a
particular operating point using a gradient based non-linear
optimisation algorithm. The application of several optimisation
algorithms to the solution of RVAC systems is described and the
limitations of these methods are discussed. Conclusions are drawn
and recommendations are made for the required attributes of an
optimisation algorithm to suit the particular characteristics of HVAC
systems.
The structure of the simulation program developed is given and the
application of the component based simulation procedure to several
systems is described. The potential for the use of the simulation
technique as a design tool is discussed and recommendations for
further work are made
Design of the Annular Suspension and Pointing System (ASPS) (including design addendum)
The Annular Suspension and Pointing System is an experiment pointing mount designed for extremely precise 3 axis orientation of shuttle experiments. It utilizes actively controlled magnetic bearing to provide noncontacting vernier pointing and translational isolation of the experiment. The design of the system is presented and analyzed
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