Browsing by Author "Olatunji, S."

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    Characterizing Groundwater Potentials in parts of the Basement Complex of Nigeria using GIS and Remote Sensing.
    (Journal of Sustainable Water Resources Management, 2023) Abubakar, H.O.; Ige, O. O.; Olatunji, S.; Iheme, K.O.
    Groundwater prospect in parts of southwestern Nigeria was delineated by inferring the subsurface models from the responses of remote sensing and GIS data. In characterizing the area, both primary and secondary data were used. The primary data include landsat8 OLI and ASTER Digital Elevation Model, while the secondary data includes geology, soil, and topography maps of the area. Hence, thematic maps of potentials and lineament density, and land cover/use maps for the area were derived from the landsat8 OLI/TRS image. Thus, the area was characterized as follows: very low, low, moderate, high, and very high potentiality that covered 1.4 km2(0.59%), 72.18 km2(9.59%), 372.3 km2(49.44%),272.12 km2(36.14%), and 35km2(4.64%), respectively. The western part of the area is dominated by very low to low potential, while the southern part of the area is dominated by high to very high potential. Hence, low and moderate potentials occupy the highest landmass (59.03%) in the area. In conclusion, the basement complex terrain in question has a moderately low aquifer capability.
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    Effect of Manganese Additions and Wear Parameter on the Tribological Behaviour of NFGrey (8) Cast Iron
    (Tribology in Industry, University of Maribor, 2012) AGUNSOYE, Johnson; Ochulor, E. F.; Talabi, Segun Isaac; Olatunji, S.
    The effect of manganese and wear parameter on the abrasive wear behaviour of NFGREY8 cast iron composition under dry lubrication conditions was investigated. The wear parameters studied are sliding speed, applied load, time and percentage of ferro-manganese additions. The experimental data were taken in a controlled way. Scanning electron microscope was used to examine the morphology of the samples. The results from linear regression equation and analysis of variances (ANOVA) shows that manganese additions, load and speed variable are more pronounced on the wear behaviour of the NFGrey (8) cast iron. The result showed that the additions of the 75 % ferro manganese grade decreases the carbon equivalent CE and fortify the matrix with the formation of tough (FeMn)3C inter-metallic leading to increased wear resistance of the examined composition.