Browsing by Author "Olawepo AV"

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    Data on zinc phosphating of mild steel and its behaviour
    (2022) Ezekiel SN; Ayoola AA; Durodola B; Odunlami OA; Olawepo AV
    Surface coating of A36 mild steel using zinc phosphating method was considered in this research work. The mild steel was immersed in zinc phosphating bath which was enhanced with calcium nanoparticles (obtained from snail shells and chicken eggshells). Data on zinc phosphating of the mild steel at different coating time (50 & 60 min) and coating temperatures (60 & 80 °C) was generated. To test the adhesion level of zinc on the mild steel, the coated mild steel was subjected to corrosion tests. And data on weight loss, corrosion rate and inhibition efficiency was generated. Surface morphology of the samples subjected to coating was determined through SEM analysis using SEM (JOEL-JSM 7600F). The data on the surface morphology of the samples is stored in the Mendeley Data repository with the link https://data.mendeley.com/datasets/bpbjfg5b5t/1
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    Response surface methodology and artificial neural network analysis of crude palm kernel oil biodiesel production
    (2020) Ayoola AA; Hymore FK; Omonhinmin CA; Babalola PO; Fayomi OS; Olawole OC; Olawepo AV; Babalola A
    Response surface methodology (RSM) and Artificial neural network (ANN) analysis of crude palm kernel oil (CPKO) biodiesel production, using KOH and NaOH catalysts, were carried out in this research work. The four process parameters considered during the production process and modelling stages were 6–12 mol ratio of methanol/oil, 0.7–1.7 wt/wt% catalyst concentration, 48–62 °C reaction temperature and 50–90 min reaction time. Log sigmoid function and Levenberg marquardt technique were adopted in ANN while Box-Benkhen method was utilised for RSM. The results revealed that KOH catalyst process produced higher yield of biodiesel (87 – 99%), compared to the yield obtained from NaOH catalysed process (79 – 91%). The regression coefficients for RSM models were 0.9324 for KOH catalysed process and 0.8935 for NaOH catalysed process, while the overall correlation coefficients for ANN models were 0.82921 for KOH catalysed process and 0.89396 for NaOH catalysed process, an implication that RSM is a better analytical tool (compare to ANN) in models formulation.