I detta examensarbete utforskas påverkan av partikelstorleken hos Pt-katalysatorer på kolbärare på syrereduktionen i polymerelektrolytmembran (PEM)-bränsleceller. Den elektrokemiskt aktiva ytarean, aktiviteten för syrereduktion och tillhörande degraderingshastigheter för de undersökta katalysatorerna beräknas och jämförs. Experimenten utfördes med hjälp av en metod som kallas ”roterande skivelektrod med tunn film” i en syra-vatten-lösning. Den katalytiska aktiviteten beräknades med Koutecky-Levichs ekvation. Resultaten visar att filmkvaliteten är avgörande för att kunna göra en bedömning av syrereduktionssaktiviteten. En homogen distribution av Pt-nanopartiklar är nödvändig för att få en korrekt och pålitlig katalytisk aktivitet. Vidare utvecklas en metodik för utvärdering av filmkvaliteten baserad på den diffusionsbegränsade strömtätheten och på potentialen vid halva topphöjden. Mätningen av syrereduktionsaktiviteten genomfördes enbart med prov vars filmkvalitet godkändes med avseende på denna metodik och den erhållna aktiviteten jämfördes vid 0.9 V vs. RHE. De undersökta katalysatorerna uppvisar snarlik aktivitet för syrereduktionsreaktionen, vilket överensstämmer med att också de uppmätta elektrokemiskt aktiva ytareorna för de olika katalysatorerna är snarlika. Förlusten av elektrokemiskt aktiv ytarea visar sig vara beroende av partikelstorleken och mindre partiklar uppvisar en högre degraderingshastighet. Rapporten avslutas med en diskussion om avvikelserna från tidigare studier och möjligheter för vidare studier. / In this thesis, the particle size effect of carbon-supported Pt catalysts on the oxygen reduction reaction in polymer electrolyte membrane fuel cells is studied. The electrochemically active surface area and the oxygen reduction reaction activities and the associated degradation rate of the investigated carbon-supported Pt catalysts are computed and compared. The experiments were conducted by a method called thin-film rotating disk electrode in an aqueous acid solution, and the catalytic activity was computed using the Koutecky-Levich equation. The results show that thin-film quality is crucial in the oxygen reduction reaction activity measurement. A homogeneous distribution of Pt nanoparticles is necessary for obtaining correct and reliable catalytic activities. Furthermore, in this thesis, a methodology based on the diffusion-limited current density and the half-wave potential for thin-film quality evaluation is developed. The oxygen reduction reaction activity measurement was only applied to samples with good film quality, and the obtained activity results were compared at 0.9 V vs. RHE. The investigated carbon-supported Pt catalysts display similar oxygen reduction reaction activities, due to the fact that the measured electrochemically active surface area results for the particle sizes are similar. The degradation rate was studied in a platinum dissolution test and the results show a particle size-dependent electrochemically active surface area loss. Smaller particles show a faster and larger degradation rate. At the end of the thesis, deviations in this work from existing work are discussed, and possibilities for future work are presented.

Micronisation of active pharmaceutical ingredients (APIs) to achieve desirable quality attributes for formulation preparation and drug delivery remains a major challenge in the pharmaceutical sciences. It is therefore important that the relationships between crystal structure, the mechanical properties of powders and their subsequent influence on processing behaviour are well understood. The aim of this project was therefore to determine the relative importance of particle attributes including size, crystal quality and morphology on processing behaviour and the characteristics of micronised materials. It was then subsequently intended to link this behaviour back to crystal structure and the nature of molecular packing and intermolecular interactions within the crystal lattice enabling the identification of some generic rules which govern the quality of size reduced powders. In this regard, different sieve fractions of lactose monohydrate and crystal variants of ibuprofen and salbutamol sulphate (size, morphology and crystal quality) were investigated in order to determine those factors with greatest impact on post-micronisation measures of particle quality including particle size, degree of crystallinity and surface energy. The results showed that smaller sized feedstock should typically be used to achieve ultrafine powders with high crystallinity. This finding is attributed to the reduced number of fracture events necessary to reduce the size of the particles leading to decreases in milling residence time. However the frequency of crystal cracks is also important, with these imperfections being implicated in crack propagation and brittle fracture. Ibuprofen crystals with a greater number of cracks showed a greater propensity for comminution. Salbutamol sulphate with a high degree of crystal dislocations however gave highly energetic powders, with reduced degree of crystallinity owing to the role dislocations play in facilitating plastic deformation, minimising fragmentation and extending the residence of particles in the microniser. Throughout these studies, morphology was also shown to be critical, with needle like morphology giving increased propensity for size reduction for both ibuprofen and salbutamol sulphate, which is related to the small crack propagation length of these crystals. This behaviour is also attributed to differences in the relative facet areas for the different morphologies of particles, with associated alternative deformation behaviour and slip direction influencing the size reduction process. Molecular modelling demonstrated a general relationship between low energy slip planes, d-spacing and brittleness for a range of materials, with finer particle size distributions achieved for APIs with low value of highest d-spacings for identified slip planes. The highest d-spacing for any material can be readily determined by PXRD (powder x-ray diffraction) which can potentially be used to rank the milling behaviour of pharmaceutical materials and provides a rapid assessment tool to aid process and formulation design. These studies have shown that a range of crystal properties of feedstock can be controlled in order to provide micronised powders with desirable attributes. These include the size, morphology and the density of defects and dislocations in the crystals of the feedstock. Further studies are however required to identify strategies to ensure inter-batch consistency in these attributes following crystallisation of organic molecules.

The present work aimed at assessing the dose emission and aerodynamic particle size characteristics of formoterol fumarate from Atimos Modullite, a metered dose inhaler (MDI) and Foradil Aeroliser, Easyhaler, and Oxis Turbuhaler dry powder inhalers (DPI) at different inhalation flow rates and volumes using in vitro methodology. Recognised methods have been adopted and validated to generate the results. The in vitro characteristics of formoterol were measured according to standard pharmacopeial methodology with adaptation to simulate routine patient use. The dose emission from the Atimos Modulite was determined using inhalation volumes of 4 and 2 L and inhalation flows of 10, 28.3, 60, and 90 L/min. The %nominal dose emitted was consistent between the various flow rates and inhalation volumes of 4 and 2L. The particle size distribution was measured using an Anderson Cascade Impactor (ACI) combined with a mixing inlet valve to measure particle size distribution at inhalation flow rates below 30 L/min. The particle size distribution of formoterol from Atimos Modulite was measured using inhalation flows of 15, 28.3, 50, and 60 L/min with and without different spacers, Aerochamber and Volumatic. The mean fine particle dose (%nominal dose) through an Atimos without spacer were 53.52% (2.51), 54.1% (0.79), 53.37% (0.81), 50.43% (1.92) compared to Aerochamber 63.62% (0.44), 63.86% (0.72), 64.72% (0.47), 59.96% (1.97) and Volumatic 62.40% (0.28),63.41% (0.52), 64.71% (0.61), 58.43% (0.73), respectively. A small decrease in the fine particle dose was observed as the inhalation flow increased, but this was not significant. The respective mean mass aerodynamic diameter (MMAD) increased as the flow rate was increased from 15 of 60 L/min. Results also suggests that the use of spacers provides better lung deposition for patients with problems using MDI. The dose emission from the Foradil Aeroliser was determined using inhalation volumes of 4 and 2 L, at inhalation flows of 10, 15, 20, 28.3, 60, and 90 L/min plus two inhalations per single dose. The %nominal dose emitted using 2 L inhalation volume was approximately half when compared to results obtained using inhalation volume of 4 L. A significantly (p<0.001) higher amount of drug was also emitted from Easyhaler® at inhalation volume of 4 L through flow rates of 10, 20, 28.3, 40, and 60 L/min compared 2 L. Similar results were observed through Oxis Turbuhaler at inhalation flow rates of 10, 20, 28.3, 40, and 60 L/min. Comparative studies were also carried out to evaluate the particle size distribution of formoterol through the DPIs. The nominal fine particle dose through Aeroliser using inhalation flows of 10, 20, 28.3, 60 and 90 L/min were 9.23%, 14.70 %, 21.37%, 28.93%, and 39.70% for the 4 L and 4.17%, 5.55%, 7.28%, 8.41%, and 11.08% for the 2 L, respectively. The respective MMAD significantly (p<0.001) decreased with increasing flow rates. Aeroliser performance showed significant (p<0.001) increase in the % nominal fine particle dose for two inhalations compared to one inhalation at both 4 and 2 L. The Easyhaler was measured using inhalation flows of 10, 20, 28.3, 40, 60 L/min. The nominal fine particle dose were 19.03%, 27.09%, 36.89%, 49.71% and 49.25% for the 4 L and 9.14%, 15.44%, 21.02%, 29.41%, 29.14% for the 2 L, respectively. The respective MMAD significantly (p<0.001) decreased with increasing flow rates. Easyhaler performance at both 4 and 2 L showed no significant differences between one and two inhalations at low flow rates (10, 20, 28.3), but this was significant (p<0.05) at higher flow rates (40 and 60 L/min). The Oxis Turbuhaler was also measured using inhalation flows of 10, 20, 28.3, 40, 60 L/min. The nominal fine particle dose were 12.87%, 24.51%, 28.25%, 34.61%, 40.53% for the 4 L and 8.55%, 15.31%, 21.36%, 19.53%, 22.31% for the 2 L, respectively. Turbuhaler performance showed significant (p<0.05) differences between one and two inhalations at varying flow rates 2 L inhalation volumes, but not at 4 L. The use of Foradil Aeroliser delivers small particles as the Oxis Turbuhaler using two inhalations hence delivering formoterol deep into the lungs. Also, this thesis shows that high flow resistance of Turbuhaler will indeed influence the ability of patients with severe asthma or children to use the system. Beside, Easyhaler produced the highest drug delivery to the lungs, thus, making it a more desirable system to use, especially for children and asthma sufferers.

Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco var. menziesii), a keystone species in western Washington, faces threats on plantations across this region from the invasive species Scotch broom (Cytisus scoparius (L.) Link), whose invasions on recently established stands can lead to mortality of Douglas-fir through overtopping. The susceptibility of sites to Scotch broom achieving dominance over Douglas-fir has been demonstrated as highly site dependent, however the site conditions that cause this have not yet been identified. Scotch broom has a demonstrated average maximum height of 3m, thus, after Douglas-fir exceeds this height, its risk of being overtopped is significantly reduced. This thesis strives to identify sites that were at the greatest risk Douglas-fir being overtopped by Scotch broom by first, identifying what factors improved growth of Douglas-fir during the period when they are at the greatest risk, and second, identifying factors that led to Douglas-fir outcompeting Scotch broom on sites they cohabitated. In Chapter 1, we utilized LiDAR scans, Soil Survey Geographic Database characteristics, and management histories to identify conditions that improved growth for Douglas-fir in ages 3-8. Individual tree detection was used to measure Douglas-fir heights, and a correction algorithm for LiDAR measured young Douglas-fir heights was established from field validation data. We identified that young Douglas-fir had improved growth on sites with lower elevation, flatter slopes, and finer textured soils. The factors identified were then transformed into four potential site index models based on mean stand elevation class, Mean stand elevation class and clay class, textural class and slope class, and textural class and Mean stand elevation class. In Chapter 2, we used paired field plots to examine Douglas-fir and Scotch broom competition on 19 sites across western Washington. Each site had 2 plots with only Douglas-fir and 2 plots with Douglas-fir and Scotch broom. Elevation, soil texture, and soil nutrient composition for carbon, nitrogen and available phosphorous were examined for influence on height and growth rate of both species. We identified that Scotch broom presence was negatively related to Douglas-fir height growth and that sites with either higher percentages of silt, lower concentrations of phosphorous, or higher percentages of Carbon were more likely to have growth patterns close to or exceeding Scotch broom. / Master of Science / Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco var. menziesii) is a valuable timber species across western Washington that is commonly grown in plantations. In western Washington when Douglas-fir are planted on a site they often face competition from the invasive shrub Scotch broom (Cytisus scoparius (L.) Link). When Scotch broom invasions occur on a recently planted Douglas-fir stands, they can cause death of the trees if Scotch broom plants grow taller than the young Douglas-fir and obstruct their access to light, a process called overtopping. The risk of Douglas-fir being overtopped has been shown to be dependent on location, however what causes a location to be at risk of overtopping is yet unknown. Scotch broom has a demonstrated average maximum height of 3m, thus, after Douglas-fir exceeds this height, its risk of being overtopped is significantly reduced. This study aims to identify sites that were at the greatest risk Douglas-fir being overtopped by Scotch broom by first, identifying what sites generate the best Douglas-fir growth when they are young and at risk of being overtopped, and second, identifying site characteristics led to Scotch broom growing faster than Douglas-fir on sites they both occur on. To identify sites that produced greater young Douglas-fir height growth we used publicly available soil data from the Soil Survey Geographic Database and company management histories to predict tree heights measured through aerial laser scanning (LiDAR). We found that sites with soil textures that had higher percentages of smaller particles, were on lower elevations, and had gentler hillslopes could all produce greater Douglas-fir height growth. When attempting to identify what causes Douglas-fir to be at risk of being overtopped by Scotch broom we used plots with and without Scotch broom on a variety of field sites. This allowed us to not only identify which characteristics of sites where Douglas-fir was being outgrown by Scotch broom, but also identify if Scotch broom was changing how Douglas-fir grew. We found that reductions in Douglas-fir growth were related to Scotch broom being present and that increases in soil silt percentages, decreases in soil phosphorus concentrations, and increases in soil carbon percentages were related to Douglas-fir having height growth closer to or exceeding that of scotch broom.

Advanced drug delivery systems have shown immense success through nanotechnology which overcomes the challenges posed by large sized particles such as poor solubility, bioavailability, absorption, and target-specific delivery. This study focuses on nano sizing by application of microreactor technology and nanoparticles to obtain polymeric particulate with a selection of model drugs for inhalation drug delivery routes. The development of nanoparticles of two challenging compounds in terms of solubility and permeability, namely Ibuprofen (IBU) and Salmeterol (SAL), was conducted using a continuous, controlled, and scalable system offered by microfluidic reactor with the incorporation of anti-solvent approach. The research explores the potential of this technology to enhance absorption rate and hence bioavailability of IBU via oral route, and SAL via inhalation. IBU, an anti-inflammatory drug, is classified as BCS Class II drug with low solubility and high permeability. SAL is a selective long acting β2-agonist which is co-dispensed along with a short-acting β2-agonist for quick relief of acute bronchoconstriction due to its long onset of action. This lack of the ‘kick’ effect in SAL can be attributed to its relatively higher lipophilicity which causes a delay in the diffusion to the β2 receptors on the smooth muscles. It is therefore feasible to assume that increasing the dissolution and/or diffusion rate of SAL in the interstitial fluids would reduce the delay between administration and the onset of action of this drug which would be beneficial to patients. Process and formulation parameters were investigated to optimize the production and stability of nano particles of both drugs using Y shaped microfluidic reactors. IBU results show that the smaller the angle between the two inlets were the smaller the particle size achieved. Moreover, the particle size increased with increasing the concentration of IBU solution. The effect of the polymer mixture ratio (PVP/HPMC) on the initial particle size was not clear though. The smallest particle size (113 nm) was achieved using 10° Y shaped chip with IBU concentration of 1 mg/mL and a polymer mixture of 0.3% w/v PVP and 0.5% w/v HPMC. Using a polymer mixture of 0.5% w/v of each polymer though yielded a better PDI (140nm and PDI of 0.5). Same observations were noted when the syringe pumps were replaced with a non-pulsatile pressure pump. Particle size though dropped significantly to 33nm. Stability data showed that all systems were practically stable regardless of the process or formulation parameters. In addition, a considerable 2.5 fold increase in dissolution rate was observed in the first 20 minutes when compared to the raw material. The optimized parameters were applied to SAL to produce nanocrystals with best result (59 nm) were obtained using 50µg/mL Salmeterol with microfluidics inlet angle 10° with non-pulse syringe pump. The stabilizing mixture was PVP 0.8% w/v and Tween 80 at a concentration of 0.02%. This approach offered a basis for the generation of nano sized SAL particles with higher fine particle fraction and better deposition in NGI than currently marketed formulations, thus providing a more efficient drug dose delivery and lung deposition.

No description available.

Yes / The tribological performance of the piston assembly of an automotive engine is highly influenced by the complex flow mechanisms that supply lubricant to the upper piston rings. As well as affecting friction and wear, the oil consumption and emissions of the engine are strongly influenced by these mechanisms. There is a significant body of work that seeks to model these flows effectively. However, these models are not able to fully describe the flow of lubricant through the piston assembly. Some experimental studies indicate that droplets of lubricant carried in the gas flows through the piston assembly may account for some of this. This work describes an investigation into the nature of lubricant misting in a fired gasoline engine. Previous work in a laboratory simulator showed that the tendency of a lubricant to form mist is dependent on the viscosity of the lubricant and the type and concentration of viscosity modifier. The higher surface area-to-volume ratio of the lubricant if more droplets are formed or if the droplets are smaller is hypothesised to increase the degradation rate of the lubricant. The key work in the investigation was to measure the size distribution of the droplets in the crankcase of a fired gasoline engine. Droplets were extracted from the crankcase and passed through a laser diffraction particle sizer. Three characteristic droplet size ranges were observed: Spray sized (250–1000 μm); Major mist (30–250 μm); and Minor mist (0.1–30 μm). Higher base oil viscosity tended to reduce the proportion of mist-sized droplets. The viscoelasticity contributed by a polymeric viscosity modifier reduced the proportion of mist droplets, especially at high load.

Bottom ash (BA), generated from the incineration of municipal solid waste (MSW), contains valuable elements which present a potential economic incentive to attempt recovery. The first study of this thesis investigated the physical, chemical, and mineralogical characterization of MSWI-BA samples through a number of experiments. To develop a proper physical characterization of the BA material, the sample was ground and subjected to particle size distribution, wet magnetic separation, and a float-sink test. As for the chemical and mineralogical characterization, the sample was subjected to XRD, XRF, SEM-EDX, and elemental composition analysis. Additionally, sequential chemical extraction and acid-leaching tests were conducted. The results from this section revealed that carrying out a combination of beneficiation processes using the MSWI-BA sample previously classified into the coarse, middle, and fine-size fractions could lead to better metal concentration yield and recovery optimization. The wet magnetic separation showed outstanding metallurgy indicators towards Fe, with enrichment ratios close to 2.0 and recovery values near to 80%. Metals such as Cu and Co were also enriched by 1.51 and 1.66, respectively, suggesting that the magnetic separation performance and enrichment are a function of the bound of multi-metallic oxides fractions. The 2.95 SG density test reached enrichment ratios higher than 2.0 in Fe, Cu, Co, and Ni in the coarse fraction of the BA fraction, which decreases when reducing the size fraction. When reducing the density cutoff, the results showed that the sink fraction yield increased as the medium density decreased, and the enrichment ratios of the minor elements (Mn, Co, Ni, Sn, and V) were similar across the different size fractions. Complementary information was obtained by the mineralogical characterization of the enriched streams from the physical concentration test, which explains the results obtained. The Cu speciation and mineral phases identified were copper oxide, copper sulfate, and cupric sulfite. While the main Fe-rich constituents existed in chemical forms of iron oxides, such as magnetite, hematite with substituted varieties, spinel group, and metallic inclusions. The enrichment ratios of Mn, Cr, Cu, and Ni obtained through magnetic separation can be explained by the presence of metallic inclusions, where these elements exhibit an affinity for the iron-bearing particles. The acid leaching test revealed that metals such as Fe, Mn, Co, Cu, and Zn can be efficiently leached using 1M HCl within 30 min of the reaction. The second part of this research study constituted the evaluation of the effect of the particle size reduction, which was performed to assess the intraparticle heterogeneity of MSWI BA. The evaluation consisted of particle size reductions by crushing and grinding for different residence times and then subjecting the sample to a sequence of physical concentration tests, such as particle size distribution, froth flotation, and wet magnetic separation. Additionally, the elemental composition after each test was determined through ICP-MS analysis to compare the particle size effect in the recovery and concentration of the valuable elements. The elemental composition results revealed that the comminution process promotes the interaction of Fe, Zn, and Cu, in the fine fraction, by generating more surface area. In contrast, the minor elements were not significantly enriched by reducing the size fraction, suggesting that the comminution process does not impact the mobility and redistribution of the elements in low concentrations. The froth flotation performed in this study showed that when using 0.338 g/ton diesel as a collector, adjusting and controlling the pH between 8.8 to 9.2 throughout the test, the organic matter content can be efficiently reduced in the BA sample from 14.73% to 4.25% when the sample has been previously ground for 30 min. Slight enrichment ratios were observed in the concentrate stream of the froth flotation, suggesting that these elements are associated with the organic matter in the BA sample. In contrast, the wet magnetic separation results revealed significant enrichment ratios of Fe, Mn, Co, and Ni after 10 min of grinding. / Master of Science / The Bottom Ash (BA) generated by the incineration of household solid waste has been identified as a promising source of valuable elements. However, a comprehensive understanding of the BA sample's properties is required in order to determine the most suitable mineral processing method to enrich the elements. The first study of this research consisted of evaluating BA ash's physical, chemical, and mineralogical properties in the BA sample. Following the characterization study, the effect of particle size, as a function of the grinding time, in the valuable elements' enrichment was evaluated. The results suggest that Ti, Fe, Cu, and Zn are the major and most valuable elements, while Mn, Co, Ni, Sb, and V are valuable elements in a minor concentration in the BA samples. Some elements, such as Ti, Sc, Co, Mn, Ni, Sn, and V, have been declared by the US Department of the Interior as critical minerals due to their economic importance and vulnerability to supply chain disruption. Although Fe and Cu are not considered critical minerals, their consumption in 2022 was 40 and 1.9 million metric tons, respectively. The development of national industry and enhancing the understanding of the alternative sources for the valuable elements present an opportunity to diversify local suppliers, pursue a vertical integration of the economic model, and reduce the third-party international vendors' dependency. Likewise, this research supports the aims to reduce the demand for primary natural resources and contribute to the circular economy model, in which energy, resources, and material are kept in a lifecycle while reducing landfilling disposal.

No / PURPOSE: To explore the use of crystal inter-planar d-spacings and slip-plane interaction energies for predicting and characterising mechanical properties of crystalline solids. METHODS: Potential relationships were evaluated between mechanical properties and inter-planar d-spacing, inter-planar interaction energy, and dispersive surface energy as determined using inverse gas chromatography (IGC) for a set of pharmaceutical materials. Inter-planar interaction energies were determined by molecular modelling. RESULTS: General trends were observed between mechanical properties and the largest inter-planar d-spacing, inter-planar interaction energies, and IGC dispersive surface energy. A number of materials showed significant deviations from general trends. Weak correlations and outliers were rationalised. CONCLUSIONS: Results suggest that the highest d-spacing of a material could serve as a first-order indicator for ranking mechanical behaviour of pharmaceutical powders, but with some reservation. Inter-planar interaction energy normalised for surface area shows only a weak link with mechanical properties and does not appear to capture essential physics of deformation. A novel framework linking mechanical properties of crystals to the distinct quantities, slip-plane energy barrier and inter-planar interaction (detachment) energy is proposed.

Thesis (MScEng)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: Hydrocyclones are stationary separating machines that separate materials based on centrifugal separation and are widely used in chemical engineering and mineral processing industries. Their design and operation, compact structure, low running costs and versatility all contribute to their applications in liquid clarification, slurry thickening, solid washing and classification. With any of these operations, the overall profitability of the process relies on the effective control of the process equipment. However, in practice, hydrocyclones are difficult to monitor and control, owing to the complexity and difficulty in measuring internal flows in the equipment. Several studies have indicated that hydrocyclone underflow images can be used to monitor process conditions. The research described in this thesis considers the use of image analysis to monitor particle size and solids concentration in the underflow discharge of a hydrocyclone. The experimental work consisted of laboratory and industrial-based case studies. The laboratory cyclone used was a 76 mm general laboratory cyclone. A Canon EOS 400D digital camera was used for the underflow imaging. Image features such as pixel intensity values, underflow discharge width and grey level co-occurrence matrix (GLCM) were extracted from the images using MATLAB Toolbox software. Linear discriminant analysis (LDA) and neural network (NN) classification models were used to discriminate between different PGM ore types based on features extracted from the underflow of the hydrocyclone. Likewise, multiple linear regression and neural network models were used to estimate the underflow solids content and mean particle size in the hydrocyclone underflow. The LDA model could predict the PGM ore types with 61% reliability, while the NN model could do so with a statistically similar 62% reliability. The multiple linear regression models could explain 56% and 40% of variance in the mean particle size and solids content respectively. In contrast, the neural network model could explain 67% and 45% of the variance of the mean particle size and solids content respectively. For the industrial system, a 100% correct classification was achieved with all methods. However, these results are regarded as unreliable, owing to the insufficient data used in the models. / AFRIKAANSE OPSOMMING: Hidrosiklone is stasionêre skeidingsmasjiene wat materiale skei op grond van sentrifugale skeiding en word algemeen gebruik in die chemiese ingenieurswese en mineraalprosessering industrieë. Hul ontwerp en werking, kompakte struktuur, lae bedryfskoste en veelsydigheid dra by tot hul gebruik vir toepassings in vloeistofsuiwering, slykverdikking, vastestof wassing en klassifikasie. In enige van hierdie prosesse hang die oorhoofse winsgewendheid van die proses af van die effektiewe beheer van die prosestoerusting. In die praktyk is hidrosiklone egter moeilik om te monitor en beheer weens die kompleksiteit en moeilikheidsgraad daarvan om die interne vloei in die apparaat te meet. Verskeie studies het aangedui dat hidrosikloon ondervloeibeelde gebruik kan word om die proseskondisies te monitor. Die navorsing beskryf in hierdie tesis maak gebruik van beeldanalise moniteringstegnieke om die ertstipes en grootte- verspreidingsgebiede/ klasse van die ondervloei afvoerpartikels te bepaal. Sodoende word ‘n grondslag gelê vir verbeterde sikloon monitering en beheer. Die eksperimentele werk het bestaan uit beide laboratorium en industrieel-gebaseerde studies. Die laboratorium sikloon wat gebruik is, was ‘n 76 mm algemene laboratorium sikloon. ‘n Canon EOS 400D digitale kamera is gebruik om die hidrosikloon ondervloei beelde vas te vang. Beeldeienskappe soos beeldelement intensiteitswaardes, ondervloei afvoerwydte en grysvlak mede-voorkoms matriks is onttrek uit die beelde deur gebruik te maak van MATLAB Toolbox sagteware. Lineêre diskriminantanalise (LDA) en neural netwerk (NN) klassifikasiemodelle is gebou om te onderskei tussen die verskillende PGM ertse en gebaseer op veranderlikes wat afgelei is uit beelde van die ondervloei van die sikloon. Net so is daar ook gebruik gemaak van lineêre regressie- en neural netwerkmodelle om die vasestofkonsentrasie en gemiddelde partikelgrootte in die ondervloei van die sikloon te beraam. Die LDA model kon die PGM ertstipes met 61% betroubaarheid voorspel, terwyl die neural netwerkmodel dit kon doen met statisties dieselfde betroubaarheid van 62%. Die lineêre regressiemodelle kon onderskeidelik 56% en 40% van die variansie in die gemiddelde partikelgrootte en vastestofkonsentrasie verduidelik. In teenstelling iermee, kon die neurale netwerkmodel 67% en 45% van die variansie in die gemiddelde partikelgrootte en vastestofkonsentrasie verduidelik. In die nywerheidstelsel kon beide tipe modelle perfekte onderskeid tref tussen die partikelgroottes wat gemeet is op opeenvolgende dae van die bedryf van die siklone. Hierdie resultate is egter nie betroubaar nie, a.g.v. die beperkte hoeveelheid data wat beskikbaar was vir modellering.