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Parameter Optimization and Analysis of Quinoa Dehulling Process Based on Discrete Element Method.

Dezheng Xuan¹, Hongbin Bai¹, Yingsi Wu¹

¹College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot, China.

Journal of Food Science

|October 29, 2025

Summary

This summary is machine-generated.

Optimizing quinoa dehulling equipment using discrete element method (DEM) and response surface methodology (RSM) significantly improved dehulling efficiency and reduced broken grain rates. The validated model enhances low-cost quinoa processing.

Keywords:

EDEM mechanical modelling quinoa dehulling equipment structural parameter optimization

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Area of Science:

Agricultural Engineering
Food Processing Technology
Computational Modeling

Background:

Current quinoa dehulling equipment faces challenges with low efficiency, high grain breakage, and limited process visibility.
Optimization is crucial for improving the economic viability and quality of processed quinoa.

Purpose of the Study:

To optimize quinoa dehulling equipment performance by enhancing dehulling efficiency and minimizing broken grain rates.
To develop and validate a predictive model for quinoa dehulling processes.

Main Methods:

Established a kinetic motion model of quinoa grains using the discrete element method (DEM) in EDEM software.
Employed Box-Behnken response surface methodology (RSM) for experimental design and analysis.
Conducted single-factor experiments to evaluate rotational speed, dehulling gap, and inlet opening impacts.

Main Results:

Inlet opening significantly influenced dehulling rate; dehulling gap was dominant for broken grain rate.
Optimized parameters: 1229 rpm rotational speed, 4.51 mm dehulling gap, 84.47% inlet opening.
Predicted dehulling rate of 78.98% and broken grain rate of 7.82% were validated experimentally (81.23% and 7.81%).

Conclusions:

The combined DEM and RSM approach accurately predicts and optimizes quinoa dehulling performance.
The validated model offers practical insights for improving low-cost quinoa dehulling equipment.
Achieved significant improvements in dehulling efficiency and grain integrity.