Browsing by Author "Rasheed Amao Busari"

Now showing 1 - 7 of 7
  • Thumbnail Image
    Item
    CHARACTERIZATION OF CASTOR BIODIESEL BLENDED WITH CONVENTIONAL DIESEL FUELS.
    (Published by Nigerian Instituttion of Agricultural Engineers (NIAE), 2020) Rasheed Amao Busari; Joshua Olanrewaju Olaoye; Adeshina Fadeyibi; Timothy Denen Akpenpuun; Murtala Olayode Iyanda; Segun Emmanuel Adebayo
    Compression Ignition Engines have proved its usefulness in agriculture, transportation, and power sector. In this research, the physicochemical properties of different blends of castor biodiesel were compared with conventional diesel fuel. Samples of the castor biodiesel prepared using transesterification process were blended with the conventional biodiesel in different mixed ratios, namely B5, B10, B15, B20, B25,B50 to B100. The physicochemical properties, including density, flash point and kinematic viscosity were determined following standard and international procedures (ASTM). Results show that the B100 has higher density, kinematic viscosity and flash point compared to the conventional diesel at 280 °C. But the calorific value was lower in comparison. A gradual decrease in the density, flash point and kinetic viscosity were observed with a decrease in the biodiesel blends from B100 to B5. This implies that the castor biodiesel can be used as a close substitute for the conventional diesel fuel and has substantial advantages, especially in area of greenhouse control and energy security.
  • Thumbnail Image
    Item
    Design, fabrication and testing of a machine for shelling Jatropha Curcas seed.
    (Published by Kwara State University Press, Nigeria, 2020) Adeshina Fadeyibi; Michael Efeturi Okolobah; Rasheed Amao Busari; Rukayat Oladipupo
    Jatropha curcas is a non-edible drought-resistant seed rich in oil. The seeds are usually shelled to obtain the kernels prior to the oil extraction. This research was undertaken to design, fabricate and evaluate a sheller for jatropha seed at different moisture contents. The moisture content of the seed was varied in the range of 6.8−12.2% (wb) and the machine performance was evaluated. Empirical relationships between the machine performance and the moisture content were established. The results showed that the shelling and machine efficiencies decreased with an increase in the moisture content. A quadratic relationship was established between the cleaning efficiency and the moisture content of the seed. The data obtained are found to fit the established equations with 65% R sq. value, and so can be used for predicting the machine performance within the specified moisture range. The power required to shell the seed was found to be 1 HP, and the technology was affordable compared to the ones reported in the previous designs. The machine can therefore be used for Jatropha curcas seed shelling at different moisture contents.
  • Thumbnail Image
    Item
    Design, fabrication and testing of a machine for shelling Jatropha Curcas seed
    (Technoscience Journal for Community Development in Africa, KWASU Press, 2020) Adeshina Fadeyibi; Rasheed Amao Busari; Rukayat Oladipupo
    Jatropha curcas L. seed is a nonedible drought-resistant seed rich in oil. In the extraction of the oil, the seeds are shelled to obtain the kernels. Shelling manually requires so much labour and time. Thus, this research was carried out to design and evaluate the performance of the jatropha seed shelling machine so as to address the challenges with the manual method. The moisture content of the seed was varied in the range of 6.8- 12.2% (wb), and the machine performance was evaluated. The results showed that the shelling efficiency of the machine and the percentage of whole kernel recovered decreased with increase in seed moisture content; while the percentage of broken kernel, machine efficiency, and percentage of unshelled seed followed a sinusoidal trend with moisture content variation. The percentage of whole kernel recovered and shelling efficiency were 23.3% and 73% at 8.2% (wb), respectively. The machine can therefore be used for jatropha seed shelling at different moisture contents.
  • Thumbnail Image
    Item
    Development and evaluation of biomass-based alternative charcoal
    (Italian Society of Agricultural Engineering, 2020) Adeshina Fadeyibi; Kehinde Raheef Adebayo; Taiye Mayowa Obafemi; Abiodun Samson Olubo; Rasheed Amao Busari; Mohammed Gana Yisa
    Environmental issues resulting from production and application of wood charcoal can be addressed by using biomass briquettes as alternative. This research was undertaken to develop and evaluate briquette from jatropha, groundnut and melon seed residues. Samples of the briquette were formed from mixtures of 0.32-0.39 kg carbonised residues, 0.30-0.40 kg starch and 0.02- 0.04 kg water. Physical and mechanical properties of the briquette samples including calorific value, bulk density and breaking force were determined using standard methods. Box-Bekhen Design Methodology was used to determine the optimum briquette blend. The results showed that the optimal briquette blend gave values of 4711.87 kcal.kg–1 calorific value, 282.59 kg m–3 bulk density and 1.36 kN breaking force, with a desirability index of 61.5%. A comparative analysis of the properties of the optimal briquette with that of a wood charcoal indicates no significant difference (P<0.05). This implies that the briquette can serve as an alternative energy source for cooking in rural communities.
  • Thumbnail Image
    Item
    OPTIMIZATION OF OPERATION PARAMETERS OF A DEVELOPED DOUGH MIXER
    (LAUTECH Journal of Engineering and Technology, 2021) Adeshina Fadeyibi; Samuel Jacob Aina; Rasheed Amao Busari; Mohammed Gana Yisa
    A mixer is essentially required for homogenizing flour and other ingredients in the bakery industry. In this research, a dough mixer was developed using a 10.5% chromium stainless-steel and its performance evaluated based on the machine parameters. The shaft speed (250−350 rpm), agitator geometry angle (45o, 60o and 90o) and number of blades (type A-5, type B-4 and type C-3) were considered as the machine parameters. The Effective mix proportion (EMP) was determined as the performance index. A Split-Plot Optimal Design was used to determine the desired variables for maximum EMP. Results show that the EMP decreases with an increase in the agitator geometry angle, irrespective of the speed of the mixing shaft. A critical behavior of the mixer was obtained at 300rpm, which indicates the homogeneous phase change stage in the mixing process. Again, the mixer performance was higher for the agitator with 5 blades and lower for the 3 blades agitator. The optimum EMP occurred for type C-3 blades, 60o geometry angle at 250 rpm with 98% desirability. These can be considered as the best configurations for a large-scale practice.
  • Thumbnail Image
    Item
    Prediction of Tuber Peeling Rate Based on Classical Particle Removal Theories.
    (Published by King Mongkut's Institute of Technology Ladkrabang., 2021) Adeshina Fadeyibi; Rasheed Amao Busari; Olusola Faith Ajao
    Classical particulate modeling is a mathematical approach that is suitable for describing the behavior of a processing machine because of its ability to accommodate varying degrees of technical parameters. This research was carried out to predict the peeling rate of an existing multi-tuber peeling machine using classical particle removal theories. The machine was designed to peel fresh cassava, sweet potatoes, and cocoyam tubers at a speed range of 350-750 rpm using a selection gear system. The tuber peeling rate were determined over 1-h of machine operation at intervals of 5 min. The classical Weibull and Jennings models, formulated for removing impurities from the outer surface of solids, were used to constitute the models for predicting the peeling rate and the amount of tuber peels removed. The machine was rerun for another 30 min, and the values of the peeling rates and the amount of peels removed were computed and used for the independent validation of the resulting models. Results show a log increase in the peeling rate of the machine with an increase in the residence time and the speed of the machine operation (p< 0.05). Also, the Weibull model parameters were better estimator of the peeling rate with R2 > 95% and Mean Square Error less than10%, irrespective of the speed and the residence time of machine operation. Therefore, the models can be used for predicting the peeling rate of the machine within its operating speed limits.
  • Thumbnail Image
    Item
    Prediction tuber peeling rate based on classical particle removal theories.
    (2020) Adeshina Fadeyibi; Rasheed Amao Busari; Olushola Faith Ajao
    Classical particulate modeling is a mathematical approach that is suitable for describing the behavior of a processing machine because of its ability to accommodate varying degrees of technical parameters. This research was carried out to predict the peeling rate of an existing multi-tuber peeling machine using classical particle removal theories. The machine was designed to peel fresh cassava, sweet potatoes, and cocoyam tubers at a speed range of 350-750 rpm using a selection gear system. The tuber peeling rate were determined over 1-h of machine operation at intervals of 5 min. The classical Weibull and Jennings models, formulated for removing impurities from the outer surface of solids, were used to constitute the models for predicting the peeling rate and the amount of tuber peels removed. The machine was rerun for another 30 min, and the values of the peeling rates and the amount of peels removed were computed and used for the independent validation of the resulting models. Results show a log increase in the peeling rate of the machine with an increase in the residence time and the speed of the machine operation (p< 0.05). Also, the Weibull model parameters were better estimator of the peeling rate with R2 > 95% and Mean Square Error less than10%, irrespective of the speed and the residence time of machine operation. Therefore, the models can be used for predicting the peeling rate of the machine within its operating speed limits