Browsing by Author "Danzomo, Bashir A."

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    Adaptive neuro-fuzzy control of wet scrubbing process
    (IEEE, 2015-05-31) Salami, Momoh-Jimoh E.; Danzomo, Bashir A.; Khan, Raisuddin
    Thenon-linear characteristics of wet scrubbing process have led to the application of intelligent control technique to adequately deal with these complexities by manipulating the liquid droplet size for the effective control of particulate matter (PM) contaminants. This includes the use of adaptive neuro-fuzzy inference system (ANFIS) to design an intelligent controller based on direct inverse model control strategy using default input and output membership functions (gaussmf and linear) and different number of input membership functions. This is followed by training of the fuzzy inference system to obtain inverse model which was tested as the intelligent controller. The controller developed using two-input membership functions have successfully achieved the main target of setting the PM concentration (process output) below the set point which is the allowable World health organization (WHO) emission level for 20g/μm within a short settling time of 2s. © 2015 IEEE.
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    CFD based parametric analysis of gas flow in a counter-flow wet scrubber system
    (Momentum, 2013) Danzomo, Bashir A.; Salami, Momoh-Jimoh E.; Khan, Raisuddin M.; Iskhandar, Mohd
    Environmental protection measures regarding industrial emissions and tightened regulations for air pollution led to the selection of a counter-flow wet scrubber system based on applicability and economic considerations. The flow dynamics of gas transporting particulate matter and gaseous contaminants is a key factor which should be considered in the scrubber design. In this study, gas flow field were simulated using ANSYS Fluent computational fluids dynamic (CFD) software based on the continuity, momentum and k-ε turbulence model so as to obtain optimum design of the system, improve efficiency, shorten experimental, period and avoid dead zone. The result shows that the residuals have done a very good job of converging at minimum number of iterations and error of 1E-6. The velocity flow contours and vectors at the inlet, across the scrubbing chamber and the outlet shows a distributed flow and the velocity profiles have fully conformed to the recommended profile for turbulent flows in pipes. The total pressure within the scrubber cross-section is constant while the minimum and maximum pressure drops was obtained to be 0.30 pa and 3.03 pa which has conformed to the recommended pressure drop for wet scrubbers. From the results obtained, it can be deduced that the numerical simulation using CFD is an effective method to study the flow characteristics of a counter-flow wet scrubber system.
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    Performance evaluation of wet scrubber system for industrial air pollution control
    (ARPN Journal of Engineering and Applied Sciences, 2012-12) Danzomo, Bashir A.; Salami, Momoh-Jimoh E.; Jibrin, S.; Khan, M. R.; Nor, I. M.
    The concentration of pollutants emitted from industrial production are generally toxic and hazardous, which can be a serious health risk to humans not limited to respiratory ailments (asthma, bronchitis, tuberculosis, etc) but also to the photosynthesis in plants. In this study, a pilot scrubber system for PM10 control has been designed using data obtained from cement industry. A model for the overall collection efficiency of counter current scrubber system and Langmuir’s approximations were used to predict the performance of the system by considering droplet sizes of 500µm, 1000µm, 1500µm and 2000µm. The range of liquid to gas ratio recommended by the US Environmental Protection Agency (EPA) has been used to investigate the appropriate ratio for optimum performance of the system. Due to reversed flow in the Langmuir’s approximation, negative collection efficiencies for the 1µm dust particle were obtained. For 5µm and 10µm dust particles, the maximum collection efficiencies were determined to be 99.988% and 100.000% at 500µm droplet size and 2.7 l/m3 while the minimum was obtained to be 43.808% and 58.728% at 2000µm droplet size and 0.7 l/m3. The predicted performance of the scrubber system was then validated using the World Health Organization (WHO) air quality standard for PM10.