Advancing Coconut Dehusking Technology: A Dimensional Analysis-Based Parametric Model for Local Production

Abstract

Effective dehusking is essential to the coconut industry's value chain, which is still a major industry in many tropical economies. Using dimensional analysis based on Buckingham's π theorem, this study proposes a novel mathematical model to forecast the dehusking efficiency of a locally made coconut dehusking machine. The model was created to help regional producers optimize their equipment for better output. The model was validated using experimental study data, showing a maximum correlation coefficient (R2 = 0.388) between the predicted and measured dehusking efficiencies. Despite this moderate correlation, the model showed strong applicability, enabling dehusking efficiency estimates with an astounding accuracy of up to 89.5%. This degree of accuracy indicates that engineers and manufacturers looking to improve coconut processing technologies may find it useful. By reducing material waste and boosting productivity in regional agricultural contexts, the work's implications go beyond simple efficiency gains and support sustainable production methods. Given the coconut's economic significance, the model is a useful tool for supply chain participants, especially in environments with limited resources. This research opens the door for future advancements in agricultural machinery design by using dimensional analysis to better understand dehusking mechanisms. All things considered, the creation and verification of this parametric model mark a critical advancement in the technological capacity of regional coconut production, which will ultimately promote sustainability and economic growth.