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La production d’éthanol à partir de biomasse lignocellulosique est reconnue comme une des voies possibles de réduction des émissions de gaz à effet de serre et de remplacement partiel des énergies fossiles. Pour être compétitif, la production d'enzymes à bas coûts est nécessaire. Ces enzymes sont produites par le champignon filamenteux Trichoderma reesei, qui présente, à forte concentration, un comportement fortement rhéofluidifiant pouvant entrainer des limitations de mélange et de transfert de matière lors du changement d'échelle. Dans ce travail, il est proposé de compléter les données de la littérature concernant le temps de mélange, la puissance dissipée et le transfert de matière gaz-liquide (global et local) par des mesures à plusieurs échelles dans des fluides modèles de rhéologie similaire aux milieux biologiques visés. Les modèles et corrélations développés qui en résultent sont directement exploitables pour le design des fermenteurs industriels. Afin d’étudier plus en détail le mélange, le taux de cisaillement et la turbulence, une étude par PIV a été menée sur des milieux transparents. La caractérisation fine de l'hydrodynamique repose sur la dissociation des différentes composantes du mouvement à l’aide de la POD. L'évolution des grandeurs mesurées avec les conditions opératoires permet de fournir des indications précieuses pour l'extrapolation des fermenteurs mettant en œuvre des micro-organismes potentiellement sensibles au cisaillement / Ethanol made from cellulosic biomass is recognized as a promising substitute for fossil fuel and thus as a way to reduce greenhouse gas emissions. To be competitive, low cost cellulosic enzymes produced by the filamentous fungus Trichoderma reesei are required. At high biomass concentration, the culture broth becomes so highly shear-thinning that mixing and mass transfer limitations may be encountered when the process is scaled up.In this study, we propose to complete data available in the literature for mixing times, power draw, and mass transfer (local and global) with measurements at several scales in model fluids (shear thinning) that mimic the rheology of biological media. Models and correlations that derive from this work can be used directly for industrial fermentor design. In order to study mixing, local shear rate and turbulence in detail, PIV is performed in transparent model fluids. The refined hydrodynamic characterisation relies on the dissociation of instantaneous velocity by means of the POD method. The change of key parameters with operating conditions gives relevant information for the scale-up of shear-sensitive micro-organisms.

African copper PLC’s flagship is the copper producing Mowana mine located 129 km from Francistown in the North-Eastern part of the Republic of Botswana. The processing operation at Mowana is a standard flotation plant designed to produce copper concentrates from oxide, supergene, and sulphide ores. The expected average output of 16.2 tons per hour of copper concentrates has never been attained since plant commissioning. The major bottleneck has been established to be located around the crushing circuit of the Mowana production chain. The major hypotheses of this research are that performance in a crushing plant is adversely influenced by moderate and discrete changes in the process. The ultimate objective is to develop a dynamic process simulator, administered in Simulink/MATLAB® background, for application in the design of a control model utilising two crusher variables and a self-tuning control algorithm. In this research work, a process model describing the dynamic operation of an Osborn 57S gyrasphere cone crusher is investigated. Modelling of the Mowana crushing circuit is carried out by combining the steady-state and dynamic components of the crushing equipment in the Simulink/Matlab® environment. Eccentric speed (ES) and closed-side setting (CSS) are amongst the important inputs to the models. The rest of the inputs (crusher power, crusher cavity level, federate, pulley diameters, liner wear measurement, number of teeth of the pinion and bevel gear) are extracted from the data collected across the Mowana mine crushing circuit. While it has been demonstrated that the crusher CSS is the most influential controllable parameter, it has also been demonstrated that crusher capacity and power can be used effectively to optimise the circuit. The use of crushing power and cavity level control is suitable for the crushing circuit since the crushers are running on a constant ES and the CSS is set and reset manually. The outcome of the study presents an insight into the optimization of the Mowana mine crushing circuit through the design of a self-tuning controller for the cone crusher and for prototyping, parameters of a PID controller were determined in the Simulink/MATLAB® environment. The simulation involved the optimisation of the control model as a function of the cavity level of and the power drawn by the cone crusher. A self-tuning control algorithm at PLC and SCADA level of control was then tested. This formed the simulations and training platform. The outcome of the simulations carried out in this research needs to be validated against the real Mowana crushing process control upgrade. This will then inform the modifications and recommended crusher motor resizing exercise to be implemented. / Electrical and Mining Engineering / M. Tech. (Engineering: Electrical)