Browsing by Author "Oke, S.A."

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A model for tracking temperature variation in cold and, hot metal working conditions during machining operations
(Springer International Publishing, 2010-01) Oke, S.A.; Oyedokun, I. O.; Momodu, O. S.; Akanbi, O. G.; Oyawale, F. A.
This paper presents a mathematical model that could assist in measuring, monitoring and controlling temperature variation in cold and 'red-hot' metal working conditions of machining. A numerical analysis technique of the temperature distribution, based on the theory of complex applied potential, was carried out using the principles of relationship analysis between the paths of heat supply in Cartesian plane when the heat path supplied to the material is orthogonal. The high level of temperature involved may effectively be predicted if a mathematical relationship that predicts the pattern of temperature distribution in a material is available. A case study example in a machine workshop is given. Simulation experiments are then carried out using Monte Carlo to increase the confidence in decision-making and provide data for significance testing. This was used as an input for testing for significance. Sensitivity analyses were also carried out in order to observe the degree of responsiveness of model parameters to changes in value. In all, five pairs of comparison were carried out among different workpiece materials. There are significant differences between workpiece materials made of steel and copper, copper and zinc, copper and aluminum. However, no significant differences exist in the model behavior of steel and aluminum, steel and zinc. It was observed that parameters are highly sensitive to changes in value. The framework could possibly be applied to milling and surfacing activities in the engineering workshop. This contribution may be helpful to small-scale enterprises that could not afford sophisticated and very expensive facilities.
Modelling energy expenditure of a brick layer at various postures
(Taylor and Francis, 2008) Oke, S.A.; Oshiaji, I. K.; Akanbi, O. G.; Kolawole, A. A.; Oyawale, F. A.
Energy utilisation at work in the labour-intensive building industry is of prime importance to contractors who match people to jobs. This paper provides an insight into modelling energy expenditure in a specific task, namely brick laying in various postures. It therefore takes previous "generic" biomechanical-energy prediction models, and makes the case for applying and adapting broader theoretical models to a specific occupational task. This refinement of established models provides a meaningful and valuable contribution to interpreting and predicting energy expenditure during a defined occupational task -- brick laying. Results obtained show that in the standing position, fewer muscles are brought into action. For the sitting position, the muscles are more relaxed, relieving the bricklayer of stress, but the center of gravity is still lower than the standing position. In the case of squatting, there is a lot of strain in the body by considering the muscles of the arms, legs, and back resulting in more energy released in the body. The bending position has repeated movement of the muscles at the back and the center of gravity varies. Thus, this research of energy expenditure in brick layers may be of interest to ergonomists and those interested in biomechanical-energy modelling.
A neuro-fuzzy linguistic approach in optimizing the flow rate of a plastic extruder process
(Centre of Professional Research Publications, 2006) Oke, S.A.; Johnson, A. O.; Charles-Owaba, O. E.; Oyawale, F. A.; Popoola, I. O.
The plastic extruder system is an important process in the solid waste recycling system. This paper optimizes the flow rate of this process with the application of a neuro-fuzzy model. The model identifies a specified desired output from a large number of input parameter. The methodology adopted is neuro-fuzzy. The concept of neuro-fuzzy is not new as a research methodology but new in its applied form to plastic recycling extruder process. The result obtained indicates the feasibility of applying the methodology in this instance. Thus, the study may be extended to other recycling processes apart from plastic base. The study is predicated on the need to attain more precision in the derivation of optimal values for the plastic extruder system in recycling plant. The research has strong economic implications since it has theory with an applied bias on a problem experienced by the industry. It can be used by managers in the plastic industry, or practitioner i.e. those supporting practice such as consultants or software developers, to mention a few. The work particularly has an economic justification. Intrinsically, the result obtained being an improvement over what was reported by earlier researchers is noteworthy. The paper is new in that it appears to be the first application of neuro-fuzzy in the system being researched.