EXPERIMENTAL STUDY AND OPTIMIZATION OF A DISCRETE-ELEMENT–BASED MACADAMIA GREEN-HUSK EXTRUSION-PEELING MACHINE
基于离散元的澳洲坚果青皮挤压脱壳机实验研究与优化
DOI : https://doi.org/10.35633/inmateh-78-40
Authors
Abstract
This study established an integrated experimental–simulation framework for optimizing the green-husk dehusking process of macadamia nuts. The objective was to quantify the effects of drum speed, minimum gap, and feed rate on dehusking performance and kernel integrity. Mechanical characterization was conducted through static loading tests in three orthogonal orientations to determine the anisotropic fracture behavior of green husks. Discrete element simulations (EDEM) were calibrated using measured friction, restitution, and density parameters and validated through a repose-angle test. A Box–Behnken design with response surface methodology was applied to evaluate interactive effects among process parameters and derive an optimal operating region. The equivalent peeling force of green husks ranged from 0.30 to 2.00 kN. Drum speed was the dominant factor influencing dehusking efficiency (p < 0.01), while minimum gap and feed rate had weaker main effects. The validated model predicted a stable high-performance window at 300–400 rpm, 9–10 mm minimum gap, and 6–10 kg min⁻¹ feed rate. Under optimal conditions (400 rpm, 9.5 mm, 6.3 kg min⁻¹), the measured dehusking rate reached 95.4% with a kernel damage rate of 4.76%. These results demonstrate that the combined experimental–DEM(Discrete Element Method) approach provides a reliable basis for parameter tuning and structural design of macadamia dehusking equipment, enabling improved efficiency and reduced kernel damage.
Abstract in Chinese



