Browsing by Author "Mohammed, I.A."
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Item Evaluation of Predictive Capability of Artificial Neural Network and Multiple Linear Regression: A Case Study of Lipid Extraction from Microalgae using Quaternary Solvents(Published by Department of Civil Engineering University of Ilorin, Ilorin, 2019) Mustapha, S.I.; Aderibigbe, F.A.; Mohammed, I.A.Abstract: Thiresent study was carried out to evaluate the performance of artificial neural network (ANN) and multiple linear regression (MLR) as modelling tools for predicting the lipid yield obtained from microalgae using quaternary solvent mixtures. The MLR models were developed using two different mathematical softwares viz. Microsoft excel (model 1) and Polymath (model 2). The augmented simplex lattice design under the mixture methodology of the Design Expert software was used to generate the design of experiments used in this study. A comparison of the models developed using ANN and MLR for the extraction process was carried out based on pertinent statistical parameters. Although the results from both MLR models were very close, the calculated values of coefficient of determination (R2) of 0.9934 and the average absolute deviation (AAD) of 2.4789 for the ANN model when compared with values obtained from the MLR (R2 = 0.9898 and AAD = 2.9821 for model 1) and (R2 = 0.9898 and AAD = 2.9825 for model 2) showed that the ANN model was more accurate and precise than the MLR models. The actual maximum lipid yield of 19.4 wt% lipid g-1 DCW was obtained at solvent mixture in the volume ratio of 1:5:1:1 for chloroform, methanol, ethanol, and dichloromethane respectively.Item Utilisation of Local Kaolin as Catalyst Support in the production of Carbon nanotubes using Catalytic Vapour Deposition method(Nigerian Society of Chemical Engineers (NSChE), 2017) Abdulkareem, A.S.; Suleiman, B.; Kariim, I.; Onimisi, I.; Kovo, A.S.; Mohammed, I.A.The work focused on the use of kaolin as support material for the development of Fe/Kaolin monometallic catalyst for multi-walled carbon nanotubes synthesis (MWCNTs) in catalytic vapour deposition equipment. The influence of process parameters such as drying temperature, drying time, stirring speed and mass of support on the percentage yield of monometallic Fe/Kaolin catalyst using wet impregnation method was further reported using a factorial experimental approach. The optimum yield of 79.40% was obtained at a drying temperature of 120°C, drying time of 5 hours, stirring speed of 700 rpm, and 9 g mass of support during the optimization of the process parameters. The highest yield catalyst was then characterized for surface area, morphology, functional group, and crystallinity using BET, SEM/EDX, FTIR and XRD respectively. The well characterized catalyst was further used for the synthesis of MWCNTs in a CVD reactor and the effect of acetylene flow rate on the MWCNTs yield was recorded. It was found that the flow rate of acetylene was directly proportional to the MWCNTs yield. The synthesized MWCNTs possessed excellent morphology and surface area. Hence, the applied kaolin support showed high proficiency for possible application as catalyst support for synthesis of good quality MWCNTs in a CVD reactor.Item Valorization of Sugarcane Bagasse for Hydrogen-Rich Gas Production using Thermodynamic Modeling Approach(Faculty of Engineering and Technology, University of Ilorin, Ilorin, 2022) Mustapha, S.I.; Mohammed, I.A.; Aderibigbe, F.A.; Adewoye, L.T.; Omoarukhe, F.O.; Sowole, A.O.Hydrothermal gasification also known as supercritical water gasification (SWG) has been considered a promising approach for converting wet biomass such as sugarcane bagasse into high-quality syngas. This study presents the thermodynamic modeling of the hydrothermal gasification of sugarcane bagasse using Aspen Plus. The effects of process parameters on the composition and yield of product gases were also investigated. It was found that the effect of temperature and biomass concentration were significant in the production of hydrogen-rich gas, while less impact was observed with pressure. The hydrogen gas (H2) produced with the highest mole fraction (56.70 mol%) and yield (103.26 kmol/kg) was obtained at 750°C and low biomass concentration of 10 wt%, while the lowest yield (1.52 kmol/kg) and mole fraction (2.45 mol%) of H2 were obtained at 450°C and high biomass concentration of 50 wt%. Findings from this study also showed that the highest net calorific value (17.55MJ/kg) was reached at 450˚C and 50 wt% of biomass concentration. This study would help to consolidate research on hydrothermal gasification of sugarcane bagasse and optimization of experimental processes and also serve as an important benchmark in the utilization of biomass as a clean energy source for future projects.