Research Article
Design and Development of a Universal Threshing Machine for Commercial Applications
Issue:
Volume 14, Issue 1, February 2026
Pages:
1-12
Received:
14 December 2025
Accepted:
29 December 2025
Published:
31 January 2026
Abstract: This study reviews existing research on the design, construction, and performance optimization of shredding and threshing machines, with the aim of developing a comprehensive understanding of their operational characteristics and identifying opportunities for improved efficiency. A systematic methodology was adopted, incorporating theoretical machine design, computer-aided modelling, finite element analysis, and motion simulation using Autodesk Inventor and MATLAB. The findings show that the universal shredding and threshing machine performs optimally, achieving an efficiency of approximately 90%, with both shredding and threshing operations executed effectively. Finite element analysis further confirms the structural suitability of the frame and cutting blades, indicating an absence of plastic deformation or failure under operational loads. Motion analysis reveals that the main shaft and tray function proportionally and maintain consistent speeds, with a linear tray velocity of about 48 m/s and an angular shaft speed of approximately 120 rad/s, validating the machine’s stable performance characteristics. Based on these outcomes, the study recommends upgrading the electric motor to improve operational efficiency, increasing blade thickness to enhance cutting performance and durability, and incorporating AnyLogic simulation software for more advanced validation of component motion and speed. The insights provided contribute to improved understanding and further optimization of shredding and threshing machine performance for industrial applications.
Abstract: This study reviews existing research on the design, construction, and performance optimization of shredding and threshing machines, with the aim of developing a comprehensive understanding of their operational characteristics and identifying opportunities for improved efficiency. A systematic methodology was adopted, incorporating theoretical machi...
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Research Article
Experimental Study and Numerical Analysis of a Melon Seed Shelling Process Based on Response Surface Methodology
Issue:
Volume 14, Issue 1, February 2026
Pages:
13-27
Received:
1 February 2026
Accepted:
9 February 2026
Published:
27 February 2026
Abstract: Experimentation is fundamental to advancements in science and technology, particularly for optimizing agricultural machinery. This research aims to demonstrate the efficacy of the Design of Experiments (DOE) as a robust methodology in improving the performance of postharvest processing equipment, such as shelling, threshing, and decorticating machines used for postharvest operations in pods, seeds and nuts processing. Using a case study on a melon seed shelling machine, the Response Surface Methodology (RSM) was employed to optimize two key operating parameters: seed moisture content and motor speed after full. A Box-Behnken Design was selected for its efficiency, requiring 13 experimental runs. Analysis of Variance (ANOVA) confirmed the high significance of the developed quadratic model (F-value = 50.03, p < 0.001), which exhibited an excellent fit (adjusted R² = 95.33%). The results identified optimal parameters: a motor speed of approximately 1920 rpm and a moisture content of 24%, achieving a shelling efficiency of 93%. The second-best configuration yielded a motor speed of 2182 rpm and a moisture content of 22%, resulting in a shelling efficiency of 91%. Verification tests conducted at these optimal settings demonstrated an average relative error of only 0.65%, indicating strong alignment between the predicted and actual outcomes and thus validating the accuracy of the model. These findings confirm that RSM is an effective tool for optimizing the performance and productivity of agricultural machinery in the melon seed industry.
Abstract: Experimentation is fundamental to advancements in science and technology, particularly for optimizing agricultural machinery. This research aims to demonstrate the efficacy of the Design of Experiments (DOE) as a robust methodology in improving the performance of postharvest processing equipment, such as shelling, threshing, and decorticating machi...
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,
Solomon Chuka Nwigbo
