The Effects of Some Mechanical Parameters of a Developed Millet Thresher on Millet Threshing and Cleaning Efficiencies

Main Article Content

Gana Ibrahim Mohammed
Baba Adamu Musa
Gbabo Agidi
Shehu Abubakar Alhaji

Abstract

Some mechanical and process parameters of a developed millet thresher have been optimized using a numerical optimization technique. The machine threshes millet panicles and cleans the grains from the straw. The speed of threshing and the number of pegs attached to the threshing drum were mechanical parameters investigated, while the moisture content was the process parameter under investigation. Threshing efficiency, cleaning efficiency, and percentage losses were used as performance characteristics while investigating these parameters. A central composite rotatable design was used in the experiment (CCRD). The results of the experiments revealed that the speed of threshing and the number of beater pegs had significant positive effects on threshing efficiency, whereas the millet panicle had significant negative effects. The speed of threshing and the number of beater pegs had considerable positive effects on threshing efficiency, whereas the millet panicle had large negative effects, according to the results of the studies. Also, a combination of a speed of 1590 rpm, 28 beater pegs, and a millet panicle moisture of 15% resulted in the maximum cleaning efficiency of 98.31%. The cleaning speed had a positive substantial effect on the cleaning efficiency, although the beater pegs and moisture content had small effects. The optimum speed of 1730 rpm, number of pegs of 35, and millet moisture content of 13.5 percent for threshing efficiency of 91.41 percent, cleaning efficiency of 97.87, and desirability of 0.997 were achieved using numerical optimization. The study’s findings include standard input machines and processing variables that produce the best machine output.

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[1]
Gana Ibrahim Mohammed, Baba Adamu Musa, Gbabo Agidi, and Shehu Abubakar Alhaji , Trans., “The Effects of Some Mechanical Parameters of a Developed Millet Thresher on Millet Threshing and Cleaning Efficiencies”, IJDE, vol. 1, no. 2, pp. 6–12, Dec. 2023, doi: 10.54105/ijde.B8015.081221.
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How to Cite

[1]
Gana Ibrahim Mohammed, Baba Adamu Musa, Gbabo Agidi, and Shehu Abubakar Alhaji , Trans., “The Effects of Some Mechanical Parameters of a Developed Millet Thresher on Millet Threshing and Cleaning Efficiencies”, IJDE, vol. 1, no. 2, pp. 6–12, Dec. 2023, doi: 10.54105/ijde.B8015.081221.
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References

A. Pradhan, S. K. Nag, S. K. Patil S. K. “Dietry management of finger millet (Eleusine coracana L., Gaerth) controls diabetes,” Curr. Scie, vol. 98, no 6, 2010, pp. 281-295.

R. H. Myers, D. C. Montgomery, G. C. Vining, C. M. Borror, S. M. Kowalski. “Response Surface Methodology: A Retrospective and Literature Survey”, J. Qual. Technol., vol. 36, 2004, pp. 53 – 77. [CrossRef]

P. K. Batra, R. Parsad. “Response Surface Designs”, Indian Agricultural Statistics Research Institute, Library Avenue, New Delhi, 2012, 110012.

A. M. Hossein, M. N. Abdol, H. S. Golam. “Optimization of a Cloud Point Extraction Procedure with Response Surface Methodology for the Quantification of Iron by means of Flame Atomic Absorption Spectrometry”, Journal of the Serbian Chemical Society, vol. 78, no. 1, 2013, pp. 115-127. [CrossRef]

W. T. Chih, I.T. Lee, H. W, Chung. “Optimization of Multiple Responses Using Data Envelopment Analysis and Response Surface Methodology,” Tamkang Journal of Science and Engineering, vol. 13,

no. 2, 2010, pp. 197-203

I.M. Gana, G. Agidi, P.A. Idah, J.C. Anuonye. “Development and testing of an automated grain drinks processing machine”. Journal of Food and Bioproducts Processing, Elsevier 1 0 4, 2017, pp. 19–31. [CrossRef]

A. Gbabo, I. M. Gana, S. A. Mathew. “Design, Fabrication and Testing of Millet Thresher”. Net Journal of Agricultural Science, vol. 1, no. 4, 2013, pp. 100-106.

O. A. Aworanti, A. O. Agarry, A. O. Ajani. “Statistical Optimization of Process Variables for Biodiesel Production from Waste Cooking Oil Using Heterogeneous Base Catalyst”. British Biotechnology Journal, vol. 3, no. 2, 2013, pp. 116-132. [CrossRef]

P. J. Maran, S. Manikanda. (2012). “Response Surface Modeling and Optimization of Process Parameters for Aqueous Extraction of Pigments from Pea Fruit Dye”. Pigin, vol. 95, 2012, pp. 465-472. [CrossRef]

Xin L., & Saka S. (2008). “Optimization of Japanese Beech Hydrolysis Treated with Batch Hot Compressed Water by Response Surface Methodology”. Inter. Journal of Agricultural Biological and Engineering 1(2), 239-245.

K. K. Salam, A. O. Arinkoola, E. O. Oke, J. O. Adeleye. “Optimization of Operating Parameters Using Response Surface Methodology for Paraffin-Wax Deposition in Pipeline”. Petroleum and Coal, vol. 56, no. 1, 2014, pp. 19-28

M. A. Helmy, S. I. Yousef, A. M. Badawy. “Performance evaluation of some sunflower thresher”. Egyptian J Agric Res, vol. 78, no. 2, 2000, pp. 969-973.

K.J. Simonyan, K. C. Oni. “Performance evaluation of a motorized locust bean decorticator”. J Agric Technol, vol. 9, no. 1, 2001, pp. 55-65.

B. Hollatz, G. R. Quick. “Combine tailings returns, part 1: the effects of combine performance and settings on tailings”. In e- Proceedings of the International Conference on Crop Harvesting and Processing. Kentucky USA. ASAE Publication Number 701P1103e. St Joseph, Mich. ASAE.

, pp. 1-13.