Response surface optimization of Bambara nut kernel yield as affected by speed of rotation, and impeller configurations

The process of modeling contaminant volume, rainfall intensity, and soil depth was investigated on diesel leaching and retention in soil subjected to oil pollution from five Base Transceiver Stations. The experimental runs were carried out over three operating parameters which include contaminant volume (50-350 ml), rainfall intensity (5-10 mm/h), and soil depth (30-90 cm) using Response Surface Methodology. Among all variables, soil depth and rainfall intensity significantly influenced the diesel leaching rates. According to results that were found out via ANOVA, the model was fitted to the experimental data with high coefficients. Furthermore, using the statistical modeling approach, the rates predicted via RSM were estimated by varying the contaminant volume at 10 ml, rainfall intensity is 7.5 mm/h; soil depth yielded 54.3 cm while the amount of diesel leached and retained gave 5958.8 mg/L and 3682.5% respectively at the desirability of 1.00. However, at a soil depth of 30 cm, contaminant volume was found to be 50 ml, rainfall intensity is at 10 mm/h to obtain maximum diesel leaching rates, and the amount retained in the soil. The model was validated by computing the %error, which ranges between 0.04 and 8%. This indicates that the model can be implemented.

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“…This model can be used to navigate the design space. This agrees with the postulations given by Ameen et al (2019) and Ndukwu et al (2019).…”

Section: Analysis and Model Equationssupporting

confidence: 93%

Statistical modeling of diesel leaching rate in soils at base transceiver stations

Theophilus¹,

Akaranta²,

Ugwoha³

2020

Afr. J. Environ. Sci. Technol.

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“…Influence of Speed and Moisture Content on Chipping Size of Cassava Chips Figure 3 demonstrates the consequence of machine speed on the chipped sizes of cassava chips. Interpreting the figure shows the colours of the mesh moves from red to yellow, green and blue which also indicates the decreasing order of values (Ndukwu et al, 2019a). Therefore, the figure showed that at a higher speed, the sizes of cassava chips tend to reduce in thickness due to the high revolution of the cutting blade.…”

Section: Resultsmentioning

confidence: 90%

“…One-way ANOVA without repetition was used to test the level of significance amongst the mean at 95% (0.05) of obtained data using 2013 Microsoft Excel Software. Optimization was based on the desirability factor by minimizing the speed and keeping the moisture content in the range using response surface tools of Design Expert 12 software (Ndukwu et al, 2019a;Nwakuba et al, 2020;Uzoma et al, 2020). The results were further analyzed with Restricted Maximum Likelihood (REML) analysis Kenward-Roger p-values and coefficient of determination and the significant level was at 5%.…”

Section: Data Analysis and Optimizationmentioning

confidence: 99%

“…Research has shown that the impact force is proportional to rotating speed (Ndukwu et al, 2019a). Therefore, as the speed increases, the force of chipping increases.…”

Section: Influence Of Speed and Moisture Content On Chipping Efficiencymentioning

confidence: 99%

“…Cassava processing into chips aids in the rapid drying of the crops lowers its bulk density and eases its packaging, transportation and export. Some designs of cassava chippers have been presented in literature (Adejumo et al, 2001;Adewumi et al, 2005;Bolaji et al, 2008;Ndunguru et al, 2009;Ndukwu et al, 2019a); however, there is a scarcity of information on optimum operational parameters for the machine capacities and thickness of cassava chips produced under the operating conditions. The diminutive shelf-life and cumbersomeness of cassava roots pose a major challenge when it is transported from the field to the market or industrial locations due to its extremely perishable nature.…”

Section: Introductionmentioning

confidence: 99%

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Development and Optimization of a Manual Fed Cassava Root Chipper for Household Cassava Processors

Nwakuba

Ndukwu

Afam

2020

Turk J Agr Eng Res, TURKAGER

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A motorized, manual fed cassava root chipping machine was developed, evaluated and optimized. The objective of the research is to investigate the effect of moisture content and speed on the chipping sizes, efficiency, throughput and machine capacities. Obtained results showed that the cassava initial moisture content significantly affected the chipping size, machine capacity, throughput capacity and chipping efficiency within the tested moisture content range of 52 to 68% w.b. The machine speed also affected the chipping size, chipping efficiency, machine and throughput capacity. The average chipping size for the cassava chips at the four ranges of moisture content, speeds and constant feed rate of 89±26.6 kg h-1 ranged from 0.56 to 0.96 cm with optimum thickness 0.618 at 450 rpm and moisture content of 65.27% based on desirability factor. The average chipping efficiency ranged from 60 to 90% with an optimum value of 79.57% at 533 rpm and moisture content of 68 % while the throughput capacities of the machine ranged from 49 to118 kg/h with optimum value of 118 kg/h at a speed of 600 rpm and 68% moisture content.

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African oil bean seed as feedstock for bio-oil and biodiesel production and on the effects of thermal pre-treatments on the quality of the bio-oil

Ndukwu

Onyeoziri

2020

Biomass Conv. Bioref.

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Response surface optimization of Bambara nut kernel yield as affected by speed of rotation, and impeller configurations

Cited by 7 publications

References 10 publications

Statistical modeling of diesel leaching rate in soils at base transceiver stations

Statistical modeling of diesel leaching rate in soils at base transceiver stations

Development and Optimization of a Manual Fed Cassava Root Chipper for Household Cassava Processors

African oil bean seed as feedstock for bio-oil and biodiesel production and on the effects of thermal pre-treatments on the quality of the bio-oil

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