It happens quite often that most Business Intelligence System (BIS) projects are never near to their completion. While there are many reasons for such high failure rate, the major unsuccessful factors of BIS result in ¡§Member¡¨, ¡§Organization¡¨, and ¡§Technique¡¨. Especially, it seems there is not yet a model and methodology gluing together the interrelationship among people, source of information, and BIS. This thesis aims to assist the enterprise by defining a model of Architecture-Oriented Analysis of Business Intelligence Systems¡¦ Requirement which helps analyze the system with ease. The model emphasizes on the structure behavior coalescence. Using this approach of structure behavior coalescence, developers would devise and adjust the BIS more flexible and adaptable. Architecture-Oriented Analysis-Model is a model which includes many viewpoints, which help analyze several problems caused by mixed BIS products. The main purpose of this research is to achieve Business Intelligence Systems¡¦Requirement through the establishment of the model, and raise the strike-rate and efficiency on the construction of any BIS.

For all business process reengineering (BPR) projects, the failure rate is up to 70%. Checking over the reasons that cause the projects to fail, the major unsuccessful factor of BPR resulting from that process-oriented aspect is concerning too much about efficiency and technology, ignoring the related subjects of organizational structures and agents. Most of all, it lacks an integrated solution for both structures and behaviors in an organization. That is, so far there is no research to study the coherent affection caused by business reengineering for both organizational structures and organizational behaviors. This thesis aims to develop an Architecture-Oriented model for the court affairs management. In this model, structure elements, services, and interaction flow for court affairs management are well defined. Adopting this model, officers can understand the entire picture of the court more easily and collect the essential information for organizational structures and organizational behaviors more effortlessly. Architecture-Oriented Court Affairs Management Model, abbreviated as AOCAMM, extremely depends on the theory and method of enterprise architecture. Using the structure behavior coalescence approach embedded in AOCAMM, we are able to describe working situations of organization, business processes, and information systems clearly enough to reduce business reengineering risks. The major achievement of this research is to advise a contemporary methodology for better planning and managing government reengineering projects.

Many flow regimes in Nuclear Reactor Safety Research are characterized by multiphase flows, with one phase being a continuous liquid and the other phase consisting of gas or vapour of the liquid phase. In dependence on the void fraction of the gaseous phase the flow regimes e.g. in vertical pipes are varying from bubbly flows with low and higher volume fraction of bubbles to slug flow, churn turbulent flow, annular flow and finally to droplet flow. In the regime of bubbly and slug flow the multiphase flow shows a spectrum of different bubble sizes. While disperse bubbly flows with low gas volume fraction are mostly mono-disperse, an increase of the gas volume fraction leads to a broader bubble size distribution due to breakup and coalescence of bubbles. Bubbles of different sizes are subject to lateral migration due to forces acting in lateral direction different from the main drag force direction. The bubble lift force was found to change the sign dependent on the bubble size. Consequently this lateral migration leads to a de-mixing of small and large bubbles and to further coalescence of large bubbles migrating towards the pipe center into even larger Taylor bubbles or slugs. An adequate modeling has to consider all these phenomena. A Multi Bubble Size Class Test Solver has been developed to investigate these effects and test the influence of different model approaches. Basing on the results of these investigations a generalized inhomogeneous Multiple Size Group (MUSIG) Model based on the Eulerian modeling framework has been proposed and was finally implemented into the CFD code CFX. Within this model the dispersed gaseous phase is divided into N inhomogeneous velocity groups (phases) and each of these groups is subdivided into Mj bubble size classes. Bubble breakup and coalescence processes between all bubble size classes Mj are taken into account by appropriate models. The inhomogeneous MUSIG model has been validated against experimental data from the TOPFLOW test facility.

Nanoparticles possess unique physical, chemical, optical and electronic properties stemming from their nanoscale dimensions and are currently used in catalysis, microelectronics, drug delivery, as well as other applications. However, due to their large surface area-to-volume ratio, nanoparticles have a strong tendency to coalesce and sinter during processing or usage over short time scales and at low temperatures, which lead to significant changes in behavior and performance. In this work, in-situ transmission electron microscopy (TEM) heating has been used to investigate the effects of particle size, temperature and carbon capping layers on sintering in face-centered cubic (FCC) metallic nanoparticles. For the first time, we make direct and real-time measurements of nanoparticle size, neck growth, dihedral angle and grain boundary motion during sintering, which are then used to calculate fundamental material transport parameters such as surface diffusivity and grain boundary mobility. We observe that carbon surface coatings typically present on most commercial nanoparticles can significantly inhibit sintering in nanoparticles. Also, a new mechanism for coalescence in nanoparticles is shown where small clusters on the support can initiate neck growth by forming a bridge between the nanoparticles consisting of individual atoms or small clusters of atoms. In-situ TEM experiments provide critical and valuable real-time dynamic information for direct investigation of the link between the evolution of sintering and controlling mechanisms, which conventional experiments such as post-mortem TEM observations are not capable of conveying. / text

Microfluidic droplets are a powerful tool for screening large populations of cells, molecules, and biochemical reactions. Droplet systems are able to encapsulate, incubate, screen, and sort millions of samples, providing access to large number statistics that make searching for rare events feasible. Initial development of the microfluidic devices and methods has attracted applications in biology, biochemistry, and material science, but the set of tools remains incomplete. Efforts are required to develop micro-scale droplet analogs for all bulk-scale bench top procedures and instruments. The droplet analogs must be versatile, robust, and process samples rapidly. / Engineering and Applied Sciences

Industrial metal forming operations generally require several deformation steps in order to create the final product. The mechanical behavior of materials undergoing strain path changes can be very different from those deformed in a given direction to fracture. The work presented here employed laser drilled model materials to better understand the effect of pre-strains and strain path changes on void growth and linkage leading to fracture is studied. The experimental results show that increasing pre-strain results in faster void growth which was justified in terms work hardening rate in the sample. Scanning electron microscope images revealed that the ductility of the sample decreased with increasing pre-strain but only slightly compared to the large decrease in far field strain at failure. This suggests that pre-strain affects strain localization significantly and to a lesser extent the ductility. Finally a finite element model has been built to predict the linkage between voids.

Emulsions and foams are thermodynamically unstable dispersions that will eventually succumb to coalescence, leading to phase separation. However the kinetic stability of emulsions and foams can vary from transiently stable systems with lifetimes of seconds to indefinitely stable systems with lifetimes of many years. Understanding and controlling emulsion and foam stability is fundamental to their widespread application in consumer products and industrial processes. Designed stimuliresponsive peptide surfactants that allow the stability of emulsions and foams to be controlled by changes in solution conditions have recently been developed at the University of Queensland. The research objective of this thesis was to establish the mechanism by which these switchable biosurfactants control emulsion and foam stability and hence contribute design rules for future generations of peptide surfactants. In particular, research focused on the control of emulsion coalescence kinetics and the fundamental insights that these peptide-based emulsions provide into the coalescence phenomena. It was proposed that these switchable peptide surfactants allow the mechanical strength of the viscoelastic surfactant layer to be decoupled from other contributions to emulsion stability. It was found that the established Derjaguin– Landau–Vervey–Overbeek (DLVO) theory, which is frequently used as the basis for predicting emulsion stability, was not able to describe the stability switching observed in the peptide-based emulsions. Different designs of peptide surfactant were used to demonstrate that the kinetics of emulsion coalescence could be shifted by changing the interfacial elasticity, clearly illustrating the critical role of the surfactant layer’s mechanical properties in the coalescence mechanism. Where the peptide-surfactant-based emulsions enabled triggering a rapid transition to coalescence from a flocculation stable system it was shown that both the electrostatic repulsion (flocculation barrier) and the interfacial elasticity (coalescence barrier) were switched. This work made use of a number of experimental techniques to study the coalescence mechanism, including the observation of droplet interactions in microfluidic channels. The switchable peptide surfactants were shown to enable triggered coalescence in droplet based microfluidics, something that had hereto with proved an intractable challenge for surfactant containing oil-in-water systems. Having established the importance of the mechanical properties of the adsorbed peptide layer in enabling control over coalescence kinetics, it was of interest to study the effect of adding other surfactant species. Mixed surfactant systems are likely to be encountered in industrial applications or commercial products. The peptide surfactant AM1 was mixed with the common anionic surfactant sodium dodecyl sulfate (SDS) and synergistic behaviour was identified, including enhanced interfacial adsorption and reversible association of structures in the bulk solution. Furthermore the interfacial layers formed by AM1-SDS retained the switchable mechanical behaviour despite considerable increases in the absolute mechanical strength.

Wet central heating systems account for a very large portion of energy consumption in the UK and recent figures indicate that its usage in households will be increasing even further. Under such circumstances, it is desirable to use these systems in the most efficient way possible. However, dissolved gases that penetrate into central heating systems are later released as bubbles due to local supersaturated conditions occurring on the primary heat exchanger wall of the boiler. This leads to a two-phase flow throughout the pipework, causing microbubbles to escape to the upper parts of the system and creating cold spots in the radiators, thus, reducing its efficiency. There is an increasing trend in building services to install devices that remove these unwanted gases. Therefore, investigation of two-phase structures throughout different pipe installations will facilitate companies in enhancing their deaerator designs. In this regard, extensive experimental and computational investigations of two-phase flow structures were conducted within this study. Two-phase flow structures were measured by a photographic technique and investigated in means of void fractions, bubble sizes, and velocities. Fluid velocities in the range of 0.5 to 1.1 m/s at typical wet central heating temperature (60 to 80 °C) and pressures (2.2 to 27 bar) were utilized. Results show that that bubble production increases as temperature, boiler heating load, and saturation ratio escalate. On the other hand, it reduces when the pressure and flow rate of the system gets higher. A clear relationship between bubble sizes and system parameters was non-existent, except for the system flow rate (where bubble diameters decrease as the flow rate increases). Moreover, bubbles were evenly distributed during vertical flow when compared to horizontal flow, where bubbles tend to flow at the upper parts of the pipe. Furthermore, it was shown that bubble distributions were highly affected by obstacles like the 90 degree bend, thermocouple or pressure sensors. In addition, it was observed that axial flow development of bubbly flow was a continuous process and void fraction at the upper part of the pipe increased as the flow travelled through horizontal pipeline. Regarding the bubble velocity measurements, it was concluded that, bubble velocity profiles show development along both vertical and horizontal flows and approach to profiles which can be expressed with the power-law. Moreover, coalescence of two bubbles during horizontal flow was captured, emphasizing that the effect of coalescences should not be neglected at low void fractions. It was also found that bubbly flow in central heating systems was in a coalescences dominant regime and maximum bubble diameter observed at most positions were higher than theoretically defined values. Moreover, bubble dissolution effect was not observed at any of the test rig conditions. The reasons were thought to be the variation saturation ratio and axial flow development of two-phase flow, which supress the effect of dissolution and favour coalescence phenomenon. Finally, after evaluating conclusions from the experimental results and computational study regarding the effect of the 90 degree bend on void fraction distributions, it was concluded that the employed physical model and solver settings in ANSYS Fluent 14.5, can be utilized to predict bubble distribution developments throughout the central heating systems’ pipework. Keywords: Central heating systems, two-phase flow, bubbly flow, bubble distributions, bubble sizes, bubble velocities, coalescence, image processing, experimental fluid easurements.

Industrial metal forming operations generally require several deformation steps in order to create the final product. The mechanical behavior of materials undergoing strain path changes can be very different from those deformed in a given direction to fracture. The work presented here employed laser drilled model materials to better understand the effect of pre-strains and strain path changes on void growth and linkage leading to fracture is studied. The experimental results show that increasing pre-strain results in faster void growth which was justified in terms work hardening rate in the sample. Scanning electron microscope images revealed that the ductility of the sample decreased with increasing pre-strain but only slightly compared to the large decrease in far field strain at failure. This suggests that pre-strain affects strain localization significantly and to a lesser extent the ductility. Finally a finite element model has been built to predict the linkage between voids.

Many flow regimes in Nuclear Reactor Safety Research are characterized by multiphase flows, with one phase being a continuous liquid and the other phase consisting of gas or vapour of the liquid phase. In dependence on the void fraction of the gaseous phase the flow regimes e.g. in vertical pipes are varying from bubbly flows with low and higher volume fraction of bubbles to slug flow, churn turbulent flow, annular flow and finally to droplet flow. In the regime of bubbly and slug flow the multiphase flow shows a spectrum of different bubble sizes. While disperse bubbly flows with low gas volume fraction are mostly mono-disperse, an increase of the gas volume fraction leads to a broader bubble size distribution due to breakup and coalescence of bubbles. Bubbles of different sizes are subject to lateral migration due to forces acting in lateral direction different from the main drag force direction. The bubble lift force was found to change the sign dependent on the bubble size. Consequently this lateral migration leads to a de-mixing of small and large bubbles and to further coalescence of large bubbles migrating towards the pipe center into even larger Taylor bubbles or slugs. An adequate modeling has to consider all these phenomena. A Multi Bubble Size Class Test Solver has been developed to investigate these effects and test the influence of different model approaches. Basing on the results of these investigations a generalized inhomogeneous Multiple Size Group (MUSIG) Model based on the Eulerian modeling framework has been proposed and was finally implemented into the CFD code CFX. Within this model the dispersed gaseous phase is divided into N inhomogeneous velocity groups (phases) and each of these groups is subdivided into Mj bubble size classes. Bubble breakup and coalescence processes between all bubble size classes Mj are taken into account by appropriate models. The inhomogeneous MUSIG model has been validated against experimental data from the TOPFLOW test facility.