Foam is one of the most frequently used multiphase fluids in underbalanced drilling operations because of its high carrying capacity of cuttings, compressibility property, formation fluid influx handling, etc. Foam rheology has been studied for many years. Researchers tried to explain foam behaviour by using conventional methods, i.e., determining rheological parameters of pre-defined rheological models like Power law, Bingham Plastic etc., as a function of gas ratio. However, it is known that bubble size and texture of the foam is also effective on foam behaviour. When foam is generated by using different foaming agents, even if the gas ratio is constant, different rheological parameters are observed. Therefore a more general foam characterization method that uses the bubble size and texture of foam is required. Improvements on image analysis, and computer technology allow monitoring the bubble size and texture of foam bubbles. A more comprehensive model of foam rheology definition in which the bubble size, and texture effects of the foam body is developed. Three different analysis methodologies are introduced / i) Generalized volume equalized approach, ii) Generalized volume equalized approach and image processing data, and iii) Image processing data only. The necessary information including the rheological information and image data is acquired from the experimental set-up developed for this study. It has been observed that, the pressure losses could be predicted as a function of bubble size, circularity and general rheological parameters, in &amp / #61617 / 20 % certainty limit. It is also observed that using only the image information is possible to characterize the foam in an accurate and fast manner.

Doctor of Philosophy(PhD) / In eastern Australia, Vertosols are widely utilised for the production of irrigated cotton (Gossypium hirsutum) due to their inherent fertility and large water–holding capacity. However, irrigated agriculture in eastern Australia is faced with a decline in the availability of good quality irrigation water sources i.e. waters with low electrolyte concentrations and small Na+ contributions. Consequently, alternative water resources that contain larger contributions of Na+ are becoming increasingly relevant as potential irrigation sources. It is known that the application of Na+ rich waters as irrigation has the potential to increase the Na+ content of the soil, and that this will affect the structural condition of Vertosols. However, the extent to which these poor quality water resources will influence the structural characteristics of different Vertosols is unknown. In addition to this knowledge gap, there is currently no suitable predictor of dispersive behaviour for this soil type, particularly where Vertosols are irrigated with different water quality solutions. The research conducted in this study aimed to characterise the impact of different increments of water quality on the structural stability of different Vertosols. Once this was concluded, the study looked to assess the impact of irrigation water quality on the structural stability, structural form and soil water retention properties of intact soil columns. Knowledge of the structural stability of the soils investigated was then used to derive a model describing the impact of water quality on the structural stability of different cotton producing soils. To achieve the aims nine different soil profiles were sampled from the Bourke, lower Gwydir, Hillston and lower Namoi cotton–producing regions. Eight of these soils are Grey and Black Vertosols with clay phyllosilicate suites dominated to different extents by 2:1 expanding clays, and the ninth soil is an illitic Red Vertosol containing small contributions of 2:1 expanding clays. The soils investigated have ESPs that range between 1 and 10, ECs of 0.1 to 1.2 dS m-1 and CECeff values that are largest for those soils that contain more 2:1 expanding clays. This study shows that the clay phyllosilicate suite of different Vertosols is the primary determinant of structural stability, structural form and soil water retention properties. For example, the Gwydir and Namoi soils contain more 2:1 expanding lattice phyllosilicate clays, have the largest CECeff values of all nine soils and are the most dispersive after all applied immersion treatments. The Bourke and Hillston soils contain less 2:1 expanding lattice clay, have smaller CECeff values and are generally more stable. Irrigation of structurally–intact soils with solutions of larger SARw resulted in larger exchangeable Na+ contents for each soil (and larger ESPs) and smaller contributions of exchangeable Ca2+ and Mg2+. For each soil, larger ESPs are reflected by decreased stability, but generally the soils dominated by 2:1 expansive clays are much less stable than the soils containing smaller contributions of these clay mineral types. Irrigating the structurally–intact Vertosols dominated by 2:1 expansive clays generally resulted in structural form attributes that do not indicate any impact of the applied water treatments, but the Vertosols with less of these mineral types tend to have less desirable structural form attributes after irrigation with solutions of larger Na+ content. Similarly, where the water retention properties of two soils were assessed, the illitic Red Vertosol has less structural pore space after treatment using the large SARw solutions, while the other soil (a Black Vertosol dominated by 2:1 expansive clays) does not show any differences between water retention properties that can be linked to irrigation water quality. These results were clarified for the water retention properties by the assessment of pore–solid space relations, which show both these soils to contain less solid space after irrigation with clean water or solutions of large SARw. This is attributed to increased swelling of clays in the presence of larger Na+ contributions, but both soils have different structural arrangements as shown by the water retention properties and structural form assessment. The red illitic Vertosol shows signs of structural collapse, while the black Vertosol maintains its structural arrangement. Finally, a model describing the structural stability of different Vertosols was developed from the stability assessment of soils, both in different water quality treatments and after the irrigation of structurally–intact columns. The model presented uses a surface response function to describe the impact of increased ECw and SARw of irrigation solutions on soil stability after immersion according to specific soil physico–chemical attributes. In this model increased exchangeable Na+, SAR and a larger CECeff (and consequently, an increased proportion of 2:1 swelling clays) are associated with increases in clay dispersion, while a smaller Ca2+:Mg2+ ratio, EC and less total clay are associated with decreases in clay dispersion.

A limitation to engineering viable thick tissues (greater than a few hundred microns in thickness) has been the lack of vascularisation and a vascular supply. A key element in engineering such tissues is the generation of a supporting scaffold with a defined and wellcharacterized architecture. To date relatively little attention has been paid to characterization. The objective of this research was to develop well-characterized structures which will inform the rational design of the next generation of engineered thick tissues. Specifically, this research aimed to test combinations of various culturing environments, cell mono- and co-cultures, and scaffold architectures; develop improved imaging techniques and structural/spatial analytical methods to characterise porous polymer scaffolds; and use various spatial and morphological measures to quantify the relationships between scaffold geometric structure and cell distribution. Isotropic and anisotropic pore scaffolds were manufactured and then processed with nondestructive and destructive imaging methods, and characterised using image analysis methods to measure geometric parameters such as the degree of anisotropy/isotropy, porosity, and fractal parameters of pore and strut networks. Cells were introduced into scaffolds using a range of seeding methods and cultured in static and hydrodynamic environments. Quantification of the spatial cell distribution in cell-seeded scaffolds was done with first-order spatial statistics and fractal analysis. Findings comparing various destructive and non-destructive imaging methods found that cryotape cryohistology was the most accurate method for processing bare polymer scaffolds and eliminated histological artefacts common to other techniques. It was found with the various image analysis methods, surface and internal scaffold geometric architectures were strongly isotropic for porogen-fused porogen-leached scaffolds and anisotropic for TIPS scaffolds. For both isotropic and anisotropic pore scaffolds, collagen hydrogel infusion and droplet methods gave the highest cell seeding efficiencies (at 100% efficiency). The key finding in this study was that first-order spatial statistics and fractal analysis of cell distribution revealed that the geometric structure of the scaffolds had the strongest effect on spatial cell infiltration and distribution compared to the influence of culture environment or mono- and co-culture. Isotropic pore scaffolds had a higher level of cell distribution. Further work with optimizing the growth environment parameters, and utilizing collagen-infused cell-seeded scaffolds, may assist in achieving better cell growth. The work presented therefore provides the analytical basis for the rational design of tissue engineering scaffolds.

Co-rotating twin-screw extruders are unique and versatile machines that are used widely in the plastics and food processing industries. Due to the large number of operating variables and design parameters available for manipulation and the complex interactions between them, it cannot be claimed that these extruders are currently being optimally utilised. The most significant improvement to the field of twin-screw extrusion would be through the provision of a generally applicable dynamic process model that is both computationally inexpensive and accurate. This would enable product design, process optimisation and process controller design to be performed cheaply and more thoroughly on a computer than can currently be achieved through experimental trials. This thesis is divided into three parts: dynamic modelling, measurement and control. The first part outlines the development of a dynamic model of the extrusion process which satisfies the above mentioned criteria. The dynamic model predicts quasi-3D spatial profiles of the degree of fill, pressure, temperature, specific mechanical energy input and concentrations of inert and reacting species in the extruder. The individual material transport models which constitute the dynamic model are examined closely for their accuracy and computational efficiency by comparing candidate models amongst themselves and against full 3D finite volume flow models. Several new modelling approaches are proposed in the course of this investigation. The dynamic model achieves a high degree of simplicity and flexibility by assuming a slight compressibility in the process material, allowing the pressure to be calculated directly from the degree of over-fill in each model element using an equation of state. Comparison of the model predictions with dynamic temperature, pressure and residence time distribution data from an extrusion cooking process indicates a good predictive capability. The model can perform dynamic step-change calculations for typical screw configurations in approximately 30 seconds on a 600 MHz Pentium 3 personal computer. The second part of this thesis relates to the measurement of product quality attributes of extruded materials. A digital image processing technique for measuring the bubble size distribution in extruded foams from cross sectional images is presented. It is recognised that this is an important product quality attribute, though difficult to measure accurately with existing techniques. The present technique is demonstrated on several different products. A simulation study of the formation mechanism of polymer foams is also performed. The measurement of product quality attributes such as bulk density and hardness in a manner suitable for automatic control is also addressed. This is achieved through the development of an acoustic sensor for inferring product attributes using the sounds emanating from the product as it leaves the extruder. This method is found to have good prediction ability on unseen data. The third and final part of this thesis relates to the automatic control of product quality attributes using multivariable model predictive controllers based on both direct and indirect control strategies. In the given case study, indirect control strategies, which seek to regulate the product quality attributes through the control of secondary process indicators such as temperature and pressure, are found to cause greater deviations in product quality than taking no corrective control action at all. Conversely, direct control strategies are shown to give tight control over the product quality attributes, provided that appropriate product quality sensors or inferential estimation techniques are available.

Doctor of Philosophy(PhD) / In eastern Australia, Vertosols are widely utilised for the production of irrigated cotton (Gossypium hirsutum) due to their inherent fertility and large water–holding capacity. However, irrigated agriculture in eastern Australia is faced with a decline in the availability of good quality irrigation water sources i.e. waters with low electrolyte concentrations and small Na+ contributions. Consequently, alternative water resources that contain larger contributions of Na+ are becoming increasingly relevant as potential irrigation sources. It is known that the application of Na+ rich waters as irrigation has the potential to increase the Na+ content of the soil, and that this will affect the structural condition of Vertosols. However, the extent to which these poor quality water resources will influence the structural characteristics of different Vertosols is unknown. In addition to this knowledge gap, there is currently no suitable predictor of dispersive behaviour for this soil type, particularly where Vertosols are irrigated with different water quality solutions. The research conducted in this study aimed to characterise the impact of different increments of water quality on the structural stability of different Vertosols. Once this was concluded, the study looked to assess the impact of irrigation water quality on the structural stability, structural form and soil water retention properties of intact soil columns. Knowledge of the structural stability of the soils investigated was then used to derive a model describing the impact of water quality on the structural stability of different cotton producing soils. To achieve the aims nine different soil profiles were sampled from the Bourke, lower Gwydir, Hillston and lower Namoi cotton–producing regions. Eight of these soils are Grey and Black Vertosols with clay phyllosilicate suites dominated to different extents by 2:1 expanding clays, and the ninth soil is an illitic Red Vertosol containing small contributions of 2:1 expanding clays. The soils investigated have ESPs that range between 1 and 10, ECs of 0.1 to 1.2 dS m-1 and CECeff values that are largest for those soils that contain more 2:1 expanding clays. This study shows that the clay phyllosilicate suite of different Vertosols is the primary determinant of structural stability, structural form and soil water retention properties. For example, the Gwydir and Namoi soils contain more 2:1 expanding lattice phyllosilicate clays, have the largest CECeff values of all nine soils and are the most dispersive after all applied immersion treatments. The Bourke and Hillston soils contain less 2:1 expanding lattice clay, have smaller CECeff values and are generally more stable. Irrigation of structurally–intact soils with solutions of larger SARw resulted in larger exchangeable Na+ contents for each soil (and larger ESPs) and smaller contributions of exchangeable Ca2+ and Mg2+. For each soil, larger ESPs are reflected by decreased stability, but generally the soils dominated by 2:1 expansive clays are much less stable than the soils containing smaller contributions of these clay mineral types. Irrigating the structurally–intact Vertosols dominated by 2:1 expansive clays generally resulted in structural form attributes that do not indicate any impact of the applied water treatments, but the Vertosols with less of these mineral types tend to have less desirable structural form attributes after irrigation with solutions of larger Na+ content. Similarly, where the water retention properties of two soils were assessed, the illitic Red Vertosol has less structural pore space after treatment using the large SARw solutions, while the other soil (a Black Vertosol dominated by 2:1 expansive clays) does not show any differences between water retention properties that can be linked to irrigation water quality. These results were clarified for the water retention properties by the assessment of pore–solid space relations, which show both these soils to contain less solid space after irrigation with clean water or solutions of large SARw. This is attributed to increased swelling of clays in the presence of larger Na+ contributions, but both soils have different structural arrangements as shown by the water retention properties and structural form assessment. The red illitic Vertosol shows signs of structural collapse, while the black Vertosol maintains its structural arrangement. Finally, a model describing the structural stability of different Vertosols was developed from the stability assessment of soils, both in different water quality treatments and after the irrigation of structurally–intact columns. The model presented uses a surface response function to describe the impact of increased ECw and SARw of irrigation solutions on soil stability after immersion according to specific soil physico–chemical attributes. In this model increased exchangeable Na+, SAR and a larger CECeff (and consequently, an increased proportion of 2:1 swelling clays) are associated with increases in clay dispersion, while a smaller Ca2+:Mg2+ ratio, EC and less total clay are associated with decreases in clay dispersion.

Mammography is currently used to screen women in targeted risk classes for breast cancer. Computer assisted diagnosis of mammograms attempts to lower the workload on radiologists by either automating some of their tasks or acting as a second reader. The task of mammogram segmentation based on pixel intensity is addressed in this thesis. The mammographic process leads to images where intensity in the image is related to the composition of tissue in the breast; it is therefore possible to segment a mammogram into several regions using a combination of global thresholds, local thresholds and higher-level information based on the intensity histogram. A hierarchical view is taken of the segmentation process, with a series of steps that feed into each other. Methods are presented for segmentation of: 1. image background regions; 2. skin-air interface; 3. pectoral muscle; and 4. segmentation of the database by classification of mammograms into tissue types and determining a similarity measure between mammograms. All methods are automatic. After a detailed analysis of minimum cross-entropy thresholding, multi-level thresholding is used to segment the main breast tissue from the background. Scanning artefacts and high intensity noise are separated from the breast tissue using binary image operations, rectangular labels are identified from the binary image by their shape, the Radon transform is used to locate the edges of tape artefacts, and a filter is used to locate vertical running roller scratching. Orientation of the image is determined using the shape of the breast and properties of the breast tissue near the breast edge. Unlike most existing orientation algorithms, which only distinguish between left facing or right facing breasts, the algorithm developed determines orientation for images flipped upside down or rotated onto their side and works successfully on all images of the testing database. Orientation is an integral part of the segmentation process, as skin-air interface and pectoral muscle extraction rely on it. A novel way to view the skin-line on the mammogram is as two sets of functions, one set with the x-axis along the rows, and the other with the x-axis along the columns. Using this view, a local thresholding algorithm, and a more sophisticated optimisation based algorithm are presented. Using fitted polynomials along the skin-air interface, the error between polynomial and breast boundary extracted by a threshold is minimised by optimising the threshold and the degree of the polynomial. The final fitted line exhibits the inherent smoothness of the polynomial and provides a more accurate estimate of the skin-line when compared to another established technique. The edge of the pectoral muscle is a boundary between two relatively homogenous regions. A new algorithm is developed to obtain a threshold to separate adjacent regions distinguishable by intensity. Taking several local windows containing different proportions of the two regions, the threshold is found by examining the behaviour of either the median intensity or a modified cross-entropy intensity as the proportion changes. Image orientation is used to anchor the window corner in the pectoral muscle corner of the image and straight-line fitting is used to generate a more accurate result from the final threshold. An algorithm is also presented to evaluate the accuracy of different pectoral edge estimates. Identification of the image background and the pectoral muscle allows the breast tissue to be isolated in the mammogram. The density and pattern of the breast tissue is correlated with 1. Breast cancer risk, and 2. Difficulty of reading for the radiologist. Computerised density assessment methods have in the past been feature-based, a number of features extracted from the tissue or its histogram and used as input into a classifier. Here, histogram distance measures have been used to classify mammograms into density types, and ii also to order the image database according to image similarity. The advantage of histogram distance measures is that they are less reliant on the accuracy of segmentation and the quality of extracted features, as the whole histogram is used to determine distance, rather than quantifying it into a set of features. Existing histogram distance measures have been applied, and a new histogram distance presented, showing higher accuracy than other such measures, and also better performance than an established feature-based technique.

A limitation to engineering viable thick tissues (greater than a few hundred microns in thickness) has been the lack of vascularisation and a vascular supply. A key element in engineering such tissues is the generation of a supporting scaffold with a defined and wellcharacterized architecture. To date relatively little attention has been paid to characterization. The objective of this research was to develop well-characterized structures which will inform the rational design of the next generation of engineered thick tissues. Specifically, this research aimed to test combinations of various culturing environments, cell mono- and co-cultures, and scaffold architectures; develop improved imaging techniques and structural/spatial analytical methods to characterise porous polymer scaffolds; and use various spatial and morphological measures to quantify the relationships between scaffold geometric structure and cell distribution. Isotropic and anisotropic pore scaffolds were manufactured and then processed with nondestructive and destructive imaging methods, and characterised using image analysis methods to measure geometric parameters such as the degree of anisotropy/isotropy, porosity, and fractal parameters of pore and strut networks. Cells were introduced into scaffolds using a range of seeding methods and cultured in static and hydrodynamic environments. Quantification of the spatial cell distribution in cell-seeded scaffolds was done with first-order spatial statistics and fractal analysis. Findings comparing various destructive and non-destructive imaging methods found that cryotape cryohistology was the most accurate method for processing bare polymer scaffolds and eliminated histological artefacts common to other techniques. It was found with the various image analysis methods, surface and internal scaffold geometric architectures were strongly isotropic for porogen-fused porogen-leached scaffolds and anisotropic for TIPS scaffolds. For both isotropic and anisotropic pore scaffolds, collagen hydrogel infusion and droplet methods gave the highest cell seeding efficiencies (at 100% efficiency). The key finding in this study was that first-order spatial statistics and fractal analysis of cell distribution revealed that the geometric structure of the scaffolds had the strongest effect on spatial cell infiltration and distribution compared to the influence of culture environment or mono- and co-culture. Isotropic pore scaffolds had a higher level of cell distribution. Further work with optimizing the growth environment parameters, and utilizing collagen-infused cell-seeded scaffolds, may assist in achieving better cell growth. The work presented therefore provides the analytical basis for the rational design of tissue engineering scaffolds.

Thesis (Ph. D.)--Ohio State University, 2008. / Title from first page of PDF file. Includes bibliographical references (p. 299-207).

Diss. (sammanfattning). Uppsala : Sveriges lantbruksUniversity, 2001. / Härtill 6 uppsatser.

Diss. (sammanfattning). Umeå : Sveriges lantbruksuniv., 2003. / Härtill 5 uppsatser.