Browsing by Author "Oni, A. O."

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Development and application of a machine vision system for measurement of surface roughness
(Asian Research Publishing Network, 2009-07) Fadare, D. A.; Oni, A. O.
Monioring of surface roughness is an essential component in planning of machining processes as it affects the surface quality and dimensional accuracy of machined components. In this study, the development and application of a machine vision system suitable for on-line measurement of surface roughness of machined components using artificial neural network (ANN) is described. The system, which was based on digital image processing of the machined surface, consisted of a CCD camera, PC, Microsoft Windows Video Maker, frame grabber, Video to USB cable, digital image processing software (Photoshop, and MATLAB digital image processing toolbox), and two light sources. The images of the machined surface were captured; analyzed and optical roughness features were estimated using the 2-D fast Fourier transform (FFT) algorithm. A multilayer perceptron (MLP) neural network was used to model and predict the optical roughness values. Tool wear index and five features extracted from the surface images were used as input dataset in training and testing the ANN model. The results showed that the ANN predicted optical roughness values were found to be in close agreement with the calculated values (R2-value = 0.9529). Thus, indicating that the proposed machine vision system and ANN model are adequate for online monitoring and control of surface roughness in machining environment.
Development and application of a machine vision system for measurement of tool wear
(Asian Research Publishing Network, 2009-06) Fadare, D. A.; Oni, A. O.
Tool wear measurement is of great concern in machining industry, as it affects the surface qualities, dimensional accuracy and production costs of the machined components. The orthodox methods of measuring tool wear are time consuming and limited in accuracy and application. In this study, machine vision system based on digital image processing was developed for measurement of tool wear. The basic components of the system are: a charge coupled device (CCD) camera, PC, Microsoft Windows Video Maker, frame grabber, Video to USB cable, digital image processing software (Photoshop and digital image processing toolbox for MATLAB), multi-directional insert fixture, and light source. Tool wear images were captured and ten different wear features: length, width, area, equivalent diameter, centroid, major axis length, minor axis length, solidity, eccentricity and orientation were extracted from the images. The pixels dimension of the system was found to be Px = 0.03306 and Py = 0.03333. The accuracy of the system compared to SANDVIK Coromant hand-held microscopic lens was found to have an absolute error less than 3.13%. The system has been applied in the analysis of tool wear of uncoated cemented carbide inserts used for turning of NST 37.2 steel. A tool wear index (TWI) was proposed as a potential indicator for tool wear monitoring. A graphical user interface (GUI) was designed for easy application of system
Effects of cutting parameters on surface roughness during high-speed turning of Ti-6AI-4V Alloy
(INSInet Publication, 2009) Fadare, D. A.; Sales, W. F.; Ezugwu, E. O.; Bonney, J.; Oni, A. O.
Surface roughness constitutes one of the most critical constraints for the selection of machine tools and cutting parameters in metal cutting operations. In this study, the steepest descent method was used to study the effects of cutting parameters (cutting speed, feed rate and depth of cut) on surface roughness of machined Ti-6AI-4V alloy workpiece at high-speed conditions. Machining trials were conducted at different cutting conditions using uncoated carbide inserts with ISO designation CNMG 120412 under conventional coolant supply, while a stylus type instrument was used to measure the centerline average surface roughness (Ra). The results revealed that, surface roughness was more sensitive to variation in feed rate followed by cutting speed and depth of cut. The study is of importance to machinist in the selection of appropriate combinations of machining parameters for high-speed turning of Ti-6AI-4V alloy workpiece.
Energy analysis for production of powdered and pelletised organic fertilizer in Nigeria
(Asian Research Publishing Network, 2006-06) Fadare, D. A.; Bamiro, O. A.; Oni, A. O.
Energy study was conducted in an organic fertilizer plant in Ibadan, Nigeria, to determine the energy requirement for production of both powdered and pelletised organic fertilizer. The energy consumption patterns of the unit operations were evaluated for production of 9,000 kg of the finished products. The analysis revealed that eight and nine defined unit operations were required for the production of powder and pellets, respectively. The electrical and manual energy required for the production of powdered fertilizer were 94.45 and 5.55% of the total energy, respectively, with corresponding 93.9 and 5.07% for the production of pelletised fertilizer. The respective average energy intensities were estimated to be 0.28 and 0.35 MJ/kg for powder and pellets. The most energy intensive operation was identified as the pulverizing unit with energy intensity of 0.09 MJ/kg, accounting for respective proportions of 33.4 and 27.0% of the total energy for production of powder and pellets. Optimisation of the pulverizing process is suggested to make the system energy efficient.
Energy analysis of an organic fertilizer plant in Ibadan, Nigeria
(Asian Research Publishing Network, 2009) Fadare, D. A.; Bamiro, O. A.; Oni, A. O.
Energy study was conducted in an organic fertilizer plan in Ibadan, Nigeria, to determine the energy requirement for production of both powdered and pelletised fertilizer. The energy consumption patterns of the unit operations were evaluated for production of 9,000 kg of the finished products. The analysis revealed that eight and nine defined unit operations were required production of powder and pellets, respectively. The electrical and manual energy required for the production of powder were 94.45 and 5.55% of the total energy, respectively, with corresponding 93.9 and 5.07% for the production of pelletised fertilizer. The respective average energy intensities were estimated to be 0.28 and 0.35 MJ/kg for powder and pellets. The most energy intensive operation was identified as the pulverizing unit with energy intensity of 0.09 MJ/kg, accounting for respective proportions of 33. 4 and 27.0% of the total energy for production of powder and pellets. Optimisation of the pulverizing process is suggested to make the system energy efficient.
Energy and exergy analysis of a vegetable oil refinery
(Scientific Research, 2012-09) Sulaiman, M. A.; Oni, A. O.; Fadare, D. A.
Energy and exergy analysis was conducted for a vegetable oil refinery in the Southwest of Nigeria. The plant, powered by two boilers and a 500 kVA generator, refines 100 tonnes of crude palm kernel oil (CPKO) into edible vegetable oil per day. The production system consists of four main group operations: neutralizer, bleacher, filter, and deodorizer. The performance of the plant was evaluated by considering energy and exergy losses of each unit operation of the production process. The energy intensity for processing 100 tonnes of palm kennel oil into edible oil was estimated as 487.04 MJ/tonne with electrical energy accounting for 4.65%, thermal energy, 95.23% and manual energy, 0.12%. The most energy intensive group operation was the deodorizer accounting for 56.26% of the net energy input. The calculated exergy efficiency of the plant is 38.6% with a total exergy loss of 29,919 MJ. Consequently, the exergy analysis revealed that the deodorizer is the most inefficient group operation accounting for 52.41% of the losses in the production processes. Furthermore, a critical look at the different component of the plant revealed that the boilers are the most inefficient units accounting for 69.7% of the overall losses. Other critical points of exergy losses of the plant were also identified. The increase in the total capacity of the plant was suggested in order to reduce the heating load of the boilers. Furthermore, the implementation of appropriate process heat integration can also help to improve the energy efficiency of the system. The suggestion may help the company to reduce its high expenditure on energy and thus improve the profit margin.
Trends of energy input in some Nigerian palm oil mills
(2011) Fadare, D. A.; Oni, A. O.; Fadara, T. G.
Energy audit was conducted using the energy accounting method in seven palm oil processing mills. The mills were stratified into small, medium and large categories based on the levels of mechanization and daily production capacity. The production process in three mill categories was divided into eight defined unit operations: bunch transportation, detachment and plucking, bunch sterilization, fruit digestion, pulp pressing, oil clarification, oil drying and oil packing. The energy (electricity, thermal and labour) consumption in each unit operation for processing 1,500 kg of fresh fruit bunch was evaluated. Results showed that the total energy intensity in the palm oil processing plants reduced with increase in levels of mechanization and daily production capacity from 344.98 MJ/tones in the small-scale plants to 252.43 MJ/tones in the large-scale plants. Percentage share of electrical energy in the total energy reduced from 96.73 to 95.06, while the thermal energy reduced from 3.27 to 1.84-%. The two identified energy intensive operations in palm oil processing are bunch transportation and fruit digestion, which accounted for over 90% of the total energy consumption in all the three mill categories. The use of fiber sludge as alternate source of energy for the boiler was recommended to reduce the cost of energy.