Multi-Objective Optimization of a Coconut Dehusking Machine Using Response Surface Method (RSM)

Authors

  • Ochuko G. Utu Department of Welding and Fabrication Engineering Technology, Delta State Polytechnic, Ogwashi Uku, Nigeria
  • Arinzechukwu H. Madukasi Department of Mechanical Engineering, University of South Wales, UK
  • Ifeanyichukwu U. Onyenanu Department of Mechanical Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria
  • Ephraim C. Joseph Department of Mechanical Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria

DOI:

https://doi.org/10.54536/jsere.v1i1.4905

Keywords:

Coconut Dehusking, Efficiency, Machine Design, Multi-Objective Optimization, Response Surface Methodology

Abstract

Coconut dehusking is a labour-intensive process, necessitating efficient mechanized solutions to enhance productivity and reduce physical strain, this study aimed to optimize a coconut dehusking machine using Design Expert v13.0, a labour-intensive process. A CAD-based model was developed and simulated, and mathematical models were derived using dimensional analysis. The I-Optimal custom design of Response Surface Methodology (RSM) was validated through 22 experimental runs. The results showed strong agreement between the experimental and predicted dehusking efficiencies. The machine achieved a maximum efficiency of 89.5% and a grating capacity of 189 nuts/hr. In comparison, the I-Optimal model predicted an optimal efficiency of 85.7% and a capacity of 179 nuts/hr at 121.014 rpm, spike angle of 57°, and spike length of 12.7 mm. Frame deformation under maximum load was minimal at 0.05289 mm. The RSM-based approach effectively optimized the coconut dehusking machine, supporting the design of efficient, durable dehusking systems for agricultural applications.

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Published

2025-09-16

How to Cite

Multi-Objective Optimization of a Coconut Dehusking Machine Using Response Surface Method (RSM). (2025). Journal of Sustainable Engineering & Renewable Energy, 1(1), 52-62. https://doi.org/10.54536/jsere.v1i1.4905