Design, Development and Evaluation of a Tangential-flow Paddy Thresher: A Response Surface Analysis

Olayanju, T.M.A.; Okonkwo, Clinton E.; Ojediran, J. O.; Alake, S. A.; Alhassan, Elijah A.; Okunola, Abiodun A.

doi:10.3923/ajsr.2019.396.405

Cited by 7 publications

(10 citation statements)

References 8 publications

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“…The LSD for scatter loss presented in Tables 3 for Sipi and Jamila varieties of paddy show that the scatter loss increased as the machine speed increase from 500 to 700 rpm for the paddy varieties. The result is in accord with the findings of Olayanju et al (2019) and Al-Shamiry and Yahya (2020). It can be deduced that the Sipi variety has a higher scatter loss than the Jamila variety, this may be as a result of differences in the aerodynamic properties of the two varieties of paddy.…”

Section: Resultssupporting

confidence: 92%

“…The trend of results agreed with Olayanju et al (2019). It was observed that the cleaning efficiency of the thresher decreases as the feed rate of the thresher increases for both Sipi and Jamila varieties of paddy, similar results were obtained by Al-Shamiry and Yahya (2020).…”

Section: Resultssupporting

confidence: 88%

“…Cleaning efficiencies of the thresher were found to decrease with the increase in the speed of the threshing drum for both varieties of paddy, with Sipi variety having the higher cleaning efficiency. The relationship of speed with cleaning efficiency is corroborated with the findings of Olayanju et al (2019) and Al-Shamiry and Yahya (2020).…”

Section: Resultssupporting

confidence: 80%

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Performance Evaluation of a Rice (Oryza sativa) Thresher

Shittu¹,

Ezeh²

2021

FUOYEJET

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A paddy thresher supplied to the Department of Agricultural and Environmental Engineering, Bayero University, Kano Nigeria as part of its takeoff equipment for teaching and learning was evaluated to determine its performance indices in terms of threshing efficiency, cleaning efficiency, output capacity, mechanical damage and scatter loss. The variables used were two levels of moisture content (20% and 14%), two levels of speed (500 rpm and 700 rpm) and feed rate at two levels (100 kg/hr and 150 kg/hr). The factorial experiments were run in a complete randomized design in three replications. Two local Rice varieties Sipi (variety 1) and Jemila (variety2) were used. Analysis of Variance (ANOVA) and LSD were used to assess the effects of the independent variables on the performance indices of the paddy thresher. The mean values for cleaning efficiency, mechanical damage, scatter loss and output capacity ranges from 59.28 – 87.82%, 0.02 - 0.23%, 0.02 - 0.05% and 25.26 - 58.82 kg/h respectively. ANOVA results showed that moisture content, feed rate and speed significantly affected cleaning efficiency, mechanical damage and the output capacity at 5% probability for the two paddy varieties. Keywords— Efficiency, output capacity, performance, rice, threshing machine.

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Section: Resultssupporting

confidence: 92%

Section: Resultssupporting

confidence: 88%

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Performance Evaluation of a Rice (Oryza sativa) Thresher

Shittu¹,

Ezeh²

2021

FUOYEJET

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“…The consumption of rice globally in 2018 was estimated to be 414 million metric tons, in which Sub-Sahara Africa (SSA) consumed about 26.6 million metric tons ( Competitive African Rice Initiative, 2018 ). In Nigeria, rice stands as the fourth most important crop following sorghum, millet, and maize in terms of its cultivated landmass ( Olayanju et al., 2019 ). It is an important crop because it serves as a good source of carbohydrates with a wide range of nutrients including vitamin B, proteins, lipids, and fiber ( Saikrishna et al., 2018 ; Lee et al., 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Interactive effects and modeling of some processing parameters on milling, cooking, and sensory properties for Nigerian rice using a one-step rice milling machine

Olayanju

Okonkwo

Ojediran

et al. 2021

Heliyon

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s This study investigates the interactive effects of processing parameters on the quality of milled rice using a one-step milling machine. Also, predictive models were generated using response surface methodology. The processing parameters were moisture content (10–14 % dry basis), shaft speed of rotation (600–900 rpm), and polishing time (1–3 min). The quality parameters evaluated were milling (head rice yield, percentage broken rice, fine broken rice, and milled rice yield), cooking (optimum cooking time, kernel elongation ratio, and width expansion ratio), and sensory (flavor, aroma, appearance, texture, and overall acceptability) properties. The results showed that the interactive effects of moisture content, shaft speed, and polishing time were significant (P < 0.05) on percentage broken rice, milled rice yield, fine broken rice, optimum cooking time, kernel elongation ratio, width expansion ratio, aroma, and appearance but was not significant on head rice yield, flavor, texture, and overall acceptability. These results were similar to the regression models generated. In conclusion, the interactive effects of these processing parameters affect all the cooking properties but not all milling and sensory properties while using a one-step milling machine.

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“…Depodding machine for various crops has been reported (Iyanda et al [5], Adewumi and Fatusin [6]) for cocoa; ([Oloko and Agbetoye [7] Agbetoye et al [8] Orhorhoro et al [9]) for melon; Kamboj et al [10] for pea; Also, the performance evaluation and optimization of post-harvest process such as dehulling and shelling of moringa oleifera seeds and some agricultural products using Response Surface Methodology (RSM), a statistical analysis tool in the modelling and optimization of more than two variables, to investigate the interactions between variables on selected responses have also been reported (Fadele and Aremu [2], Fadele and Aremu [3], Fakayode et al [11]; Fakayode et al [12], Fakayode and Ajav [13]) for moringa; Fakayode and Abobi [14], Sobowale et al [15], Olayanju et al [16] for orange peels, cocoyam noodles and paddy respectively.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation and optimization of a Moringa Oleifera depodding machine: A response surface approach

Komolafe

Ikubanni

Okonkwo

et al. 2020

Heliyon

Self Cite

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Depodding of moringa which is still being carried out manually by removing with hand or by hitting a bag containing the pods is time-consuming, labour intensive and not economical. The demand for quality oil-bearing moringa seeds that have a wide area of industrial applications necessitates innovative deppoding techniques that will improve its market value. To ameliorate these problems, moringa depoddding machine has been developed but studies on performance evaluation and optimal parameter setting are sparsely reported. This study therefore, evaluated the effects of the processing factors (moisture content (MC) and speed of rotation (SR)) levels on the performance (throughput capacity (TP), effective throughput capacity (ETP), labour requirement (LR), depodding coefficient (DC), coefficient of wholeness (CW), depodding efficiency (DE), depodded kernel (DK), undepodded kernel (UK), small broken kernel (SBK), and big broken kernel (BBK)) of the designed and fabricated moringa depodding machine using the response surface methodology and test between subjects-effects. The experimental design used was a two factor, three levels i-optimal randomized design. Mathematical models relating the process factors to performance were developed. The predicted optimum results obtained were validated using the observed values of the experiment. MC and SR were found to have a significant effect on the performance of the machine. The predicted optimum performance of the machine were 113.73 kg/hr, 109.45 kg/hr, 0.85 man-hour required/Kg, 96.15 %, 0.96, 93.93 %, 0.98, 0.02, 10.64 %, and 1.24 % for TP, ETP, LR, DC, CW, DE, DK, UK, SBK, and BBK respectively at MC and SR of 10.10 % wet basis and 564 rpm. The experimental values at these processing conditions were close to the predicted optimum results obtained with little deviations which were statistically insignificant. The selected models sufficiently predicted the performance of the developed machine.

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Design, Development and Evaluation of a Tangential-flow Paddy Thresher: A Response Surface Analysis

Cited by 7 publications

References 8 publications

Performance Evaluation of a Rice (Oryza sativa) Thresher

Performance Evaluation of a Rice (Oryza sativa) Thresher

Interactive effects and modeling of some processing parameters on milling, cooking, and sensory properties for Nigerian rice using a one-step rice milling machine

Performance evaluation and optimization of a Moringa Oleifera depodding machine: A response surface approach

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