Journal of Engineering in Industrial Research

h-index: 18     i10-index: 25

Performance Evaluation of a Multipurpose Wet Sieving Machine

Document Type : Original Research Article

Authors

Oluwaseun Temitope Ayodeji 1
Folasayo Fayose 2
Adeyanju Samuel 1

1 Agricultural Engineering Department, Federal University Oye ekiti, Ekiti State, Nigeria

2 Agricultural Engineering Department, School of Engineering and Engineering Technology, Federal University of Technology, Akure, Ondo State, Nigeria

https://doi.org/10.48309/jeires.2026.555950.1324
Abstract
This study evaluated the performance of a multipurpose wet sieving machine developed for processing maize slurry, cassava, and coconut milk. Wet sieving, a critical operation in food and agricultural industries, enables separating materials based on particle size. The machine was tested at operational speeds of 4.75 m/s and 5.76 m/s to assess throughput capacity, sieving efficiency, and overall performance. Results showed that increasing speed significantly improved throughput and efficiency, with cassava slurry exhibiting the most pronounced relative gain. At higher speeds, the machine achieved efficiencies of 98% for maize, 93% for cassava, and 94% for coconut. Mechanical wet sieving also reduced operator strain compared to manual methods. However, challenges such as higher energy demand and occasional sieve clogging were identified, emphasizing the need for design refinements and optimized operating parameters. The findings demonstrate the machine’s potential to enhance agricultural processing by reducing manual labor, minimizing product losses, and improving product quality. Future work should focus on the effects of sieve size, slurry concentration, and speed control to establish optimal conditions and facilitate large-scale applications in food processing industries.

Keywords

Wet sieving
Throughput capacity
Sieving efficiency

Subjects

OPEN ACCESS

©2026 The author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit: http://creativecommons.org/licenses/by/4.0/

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Journal of Engineering in Industrial Research
Volume 7, Issue 3
Summer 2026
Pages 168-173

  • Receive Date 15 November 2025
  • Revise Date 24 January 2026
  • Accept Date 03 February 2026

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