Browsing by Author "Obayopo, S.O."

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    Effect of Variation in Build-Up Parameters on Noise Reduction in Automobile Engine Silencers
    (International Journal of Scientific & Engineering Research, 2012-02) Obayopo, S.O.; Oyewola, M.O.; Mojola, O.O .
    The study focused on practical methods of reducing noise levels in automobile engine silencers. A comprehensive step to examine the flow pattern in relation to noise level generation, modify silencer parameters to effect noise level reduction is considered. The experimentation commenced with flow linearization process and this was followed by a design/build/test laboratory procedure to ascertain the minimum noise level achievable by varying the inlet pipe size, resonating chamber length and the orifice size of the geometric build up of the silencers. Results from experimentation shows a reduction in noise level to the tune of 13.2 dB (A) when comparison is made with the initial noise level of silencer used as the baseline level at 76.9 dB (A). The results was incorporated to generate an optimum model for the IC-engine (Volkswagen Passat Model) of 1921 cm3 engine capacity used as the test engine during the experimentation. Noise level in dB (A) were depicted on noise level-time graph.
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    Optimization and modeling of process parameters on the yield of enhanced pyrolysis oil during co-pyrolysis of cassava peel with polystyrene
    (Environmental Challenges by Elsevier, 2021-10) Adeboye, B.S.; Adewole, B.Z.; Adedoja, A.M.; Obayopo, S.O.; Asere, A.A.; Kayode, O.; Idris, M.O.; Okediran, I.K.
    The co-pyrolysis of cassava peel (CP) and a synthetic waste, that is polystyrene (PS) has been investigated to optimize the yield of biofuel with improved properties. The main and interaction effects of process variables (temperature, feedstock ratio, and pyrolysis time) on the yield of pyrolysis oil were modeled and the optimal condition for enhanced pyrolysis oil yield was determined using response surface methodology by employing the central composite design matrix. A model equation was generated using the data obtained and the significance of the model was investigated using analysis of variance to determine if the fit of multiple regressions was significant. Some physical properties of the pyrolysis oil at the optimum condition were determined to investigate the suitability of the pyrolysis oil as a fuel source. From the statistical analysis, the study concluded that the feedstock ratio has the most significant effect on the yield of pyrolysis oil.