FACULTY OF TECHNOLOGY
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Item Performance evaluation of uncoated carbide cutting tools in turning NST 37-2 steel.(2009) Fadare, D. A.; Asafa, T. B.In metal cutting operations, performance of the cutting tool is the major determinant of the productivity, functionality and production cost of the machined component. In this work, the performance of uncoated cemented carbide tools with International Standard Organisation (ISO) designation SNMA 120406 was evaluated for turning of NST 37.2 steel. Turning operations were conducted on M300 Harrison type lathe driven by 3.0 hp Kapak induction motor. The cutting conditions used were: cutting speed, 20.42, 29.06 and 42.42m/min; feed rate, 1.0, 1.8 and 2.2 mm/rev; and depth of cut, 0.2, 0.4 and 0.6 mm under dry machining. Results showed that both flank and nose wear increased with increase in number of pass, cutting speed, depth of cut and feed rate. The optical surface roughness of the machined workpiece varied from 0.658 - 0.924 and case hardening of the machined surface was observed. Segmented chips with smaller coil radii, which were less voluminous and more manageable were produced at all cutting conditions investigated. Chip breakability tends to increase with increase in cutting speed. The use of uncoated carbide tools has proved to enhance the productivity and surface quality in turning of NST 37-2 steel.Item Organic and organo-mineral fertilizer from wastes(2006-11) Sridhar, M. K. C.; Adeoye, G. A.; Fadare, D. A.; Bamiro, O. A.Item Briquetting of wood and agricultural wastes for energy production(2005) Igbeka, J. C.|; Popoola, L.; Ajayi, S. S.; Onilude, M. A.; Olorunisola, O. A.; Raji, A. G.; Afrifa, E. S. D.; Fadare, D. A.Item Development of indigenous manufacturing infrastructure in Nigeria: a case: study of the pace-setter organic fertilizer plant(2008) Fadare, D. A.; Bamiro, O. A.; Adeoye, G. O.; Sridhar, K. C.This paper presents the overview of the research and development (R&D) of the Pace-setter organic fertilizer plant. The plant, is owned, funded and managed by the Oyo State Government through the Ministry of Environment. The plant is located at the Bodija Market in Ibadan North Local Government area. The 10 tons/day capacity plant, designed and constructed (using locally sourced materials, was installed and commissioned in the year 1998. About 35 - 50 tons/day of solid waste consisting of Market Refuse (MR) and Abattoir Waste (AW) generated within the market are used as raw materials for the production of organic fertilizer. The plant is semi-mechanised as sorting and turning are done manually while the processing of the compost into finish products is done mechanically. The processing plant consists of six different units: shredding, screening; pulverizing, mixing, pelletising and bagging. Two grades of organic fertilizer (A and B) are produced in the plant. Grade A is fortified, grade B is unfortified. Both grades are produced in either powder or pellet form. The estimated man-power and electric-energy requirement of the plant are about 25 persons and 70KW respectively. A 50 kg bag of grade 'A' organic fertilizer is sold for about #700, while the unfortified grade 'B' is sold for about #500 per bag. The plant has proven to be commercially viable in terms of employment and income generation and equally as sustainable solution to the problem of solid waste management.Item Organic fertilizer use in Nigeria: our experience(Department of Agronomy, Univeristy of Ibadan, 2000) Omueti, J. A. I.; Sridhar, M. K. C.||Adeoye, G. O.||Bamiro, O.||Fadare, D. A.; Adeoye, G. O.; Bamiro, O.; Fadare, D. A.Item Application of Neuro- Fuzzy to palm oil production process(Nigerian Association of Mathimatical physics, 2009-11) Odior, A. O.; Fadare, D. A.Palm oil is an important nutritional food requirement and in order to facilitate the production of palm oil for consumption, the production process of palm oil has been investigated. The basic operations involved in the production of edible palm oil include; purchase, transportation and reception of oil palm bunches; bunch threshing and fruit fermentation; sorting and weighing of oil palm fruits; boiling, digestion and pressing of palm oil fruits; clarification and drying of palm oil and palm oil storage. A Neuro-Fuzzy model was used to analyze the performance of palm oil production process as it affects the basic operations involved in the production of edible palm oil. The research work can be applied to any other small or medium scale production firm for better efficiency.Item A statistical analysis of wind energy potential in Ibadan, Nigeria, based on weibull distribution function(Akamai University, 2008-06) Fadare, D. A.Modeling of wind speed variation is an essential requirement in the estimation of the wind energy potential for a typical site. In this paper, the wind energy potential in Ibadan (Lat. 7.43°N; Long. 3.9°E; Alt. 227.2m) is statistically analyzed using daily wind speed data for 10 years (1995-2004) obtained from the International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria. The daily, monthly, seasonal, and yearly wind speed probability density distributions are modeled using Weibull Distribution Function. The measured annual mean wind speed in Ibadan is 2.75 ms-1, while mean wind speed and the power density predicted by the Weibull probability density function are 2.947 m/s and 15.484 Wm-2, respectively. Ibadan can be classified as a low wind energy region. The coefficient of determination (R2) between the actual wind speeds and the Weibull predicted values ranged between 0.475 - 0.792. The Weibull distribution function can be used with acceptable accuracy for prediction of wind energy output required for preliminary design and assessment of wind power plants.Item Modelling of solar energy potential in Nigeria using an artificial neural network model(Elsevier Limited, 2009) Fadare, D. A.In this study, an artificial neural network (ANN) based model for prediction of solar energy potential in Nigeria (lat. 4–14°N, log. 2–15°E) was developed. Standard multilayered, feed-forward, back-propagation neural networks with different architecture were designed using neural toolbox for MATLAB. Geographical and meteorological data of 195 cities in Nigeria for period of 10 years (1983–1993) from the NASA geo-satellite database were used for the training and testing the network. Meteorological and geographical data (latitude, longitude, altitude, month, mean sunshine duration, mean temperature, and relative humidity) were used as inputs to the network, while the solar radiation intensity was used as the output of the network. The results show that the correlation coefficients between the ANN predictions and actual mean monthly global solar radiation intensities for training and testing datasets were higher than 90%, thus suggesting a high reliability of the model for evaluation of solar radiation in locations where solar radiation data are not available. The predicted solar radiation values from the model were given in form of monthly maps. The monthly mean solar radiation potential in northern and southern regions ranged from 7.01–5.62 to 5.43–3.54 kW h/m2 day, respectively. A graphical user interface (GUI) was developed for the application of the model. The model can be used easily for estimation of solar radiation for preliminary design of solar applications.Item Modelling the association between in vitro gas production and chemical composition of some lesser known tropical browse forages using artificial neural network(2007) Fadare, D. A.; |Babayemi, O. J.In vitro gas production of four different browse plants (Azadirachta indica, Terminalia catappa, Mangifera indica and Vernonia amygdalina) was investigated under different extractions. The relationship between the forage composition parameters (dry matter, organic matter, crude protein, acid detergent fibre, neutral detergent fibre and acid detergent lignin), process parameters (extraction mode and incubation time), and volume of gas production were modelled with artificial neural network (ANN). The ANN model consisted of simple, multi-layered, back-propagation networks with eight input neurons consisting of the composition and process parameters and one output neuron for the gas volume. The networks were trained with different algorithms and varying number of layer and neuron in the hidden layer to determine the optimum network architecture. The network with single hidden layer having 45 ‘tangent sigmoid’ neurons trained with Livenberg-Marquard algorithm combined with ‘early stopping’ technique was found to be the optimum network for the model with R-value: mean = 0.9504; max. = 0.9618; min. = 0.9343; and std. = 0.0059. The influence of each chemical composition and processing parameters on gas production was simulated. The developed ANN model offers a more cost and time efficient strategy in feed evaluation for ruminant animals.Item Modeling and forecasting of short-term half-hourly electric load at the University of Ibadan, Nigeria(Akamai University, 2009-11) Fadare, D. A.; Dahunsi, O. A.In this study, the short-term load pattern for the University of Ibadan was investigated and a multi-layered feed-forward artificial neural networks (ANN) model was developed to forecast the time series half-hourly load pattern of the system using the load data for a period of 5 years (2000 to 2004). The study showed that the mean half-hourly load for the period of study ranged between 1.3 and 2.2 MW, and the coefficient of determination (R2-values) of the ANN predicted and the measured half-hourly load for test dataset decreased from 0.6832 to 0.4835 with increase in the lead time from 0.5 to 10.0 hours.
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