Sunday E. Etuk

Comparative Study of Thermal Conductivity Values of Different Percentage Compositions of Ground Arachis hypogea (Groundnut) Husk and Vigna unguiculata (Beans) Husk Compressed Fiberboards

Thermal conductivity values of compressed boards made of ground Arachis hypogea husk and Vigna unguiculata husk as binder at different percentage compositions at a temperature of 303 K were investigated using steady-state method. Other thermal properties including specific heat capacity, density, thermal absorptivity, and diffusivity values were also estimated for the prepared samples. Comparative studies of the determined values for the board at different proportions or ratios of combination of A. hypogeal ground husk with V. unguiculata ground husk reveal that thermal conductivity value decreases with an increase in the percentage content of A. hypogea husk contents. A fitting polynomial regression analysis reveals a correlation coefficient of 99.6%. The range of thermal conductivity values falls within the range of conventional good thermal insulators. Thus, the husks are potential ecofriendly raw materials for insulation board for cold building design and other thermal envelops.

Comparison Of Diffuse Solar Radiation Models Using Data For Onne, Nigeria

Measurements of global solar radiation and sunshine duration data during the period from 1984 to 1999 were supplied by IITA (International Institute of Tropical Agriculture) at Onne. The data were used to establish empirical relationships that would connect the daily monthly average diffuse irradiation with both relative sunshine duration and clearness index separately and in combination. The estimated results were then compared with measured values of a nearby location since measured data on diffuse radiation for this location is not available. The correlation connecting diffuse radiation with percentage possible sunshine is found to be applicable over Onne. Keywords : Diffuse, solar radiation, Onne. Global Journal or Pure and Applied Sciences Vol. 14 (4) 2008: pp. 473-476

Model of predicting proportion of diesel fuel and engine oil in diesel adulterated SAE 40 engine oil sample

Viscosity of diesel adulterated SAE 40 engine oil at varying proportions of the mixture is presented. Regression, variation of intercept and the power parameters methods are used for developing polynomial and power law functions for predicting proportion of either diesel or engine oil in diesel adulterated SAE 40 engine oil sample. KeyWords : SAE 40 engine oil, diesel, viscosity, adulterated. (Global Journal of Pure and Applied Sciences: 2002 8(4): 513-516)