Modeling and Parameter Calibration of Morchella Seed Based on Discrete Element Method
Source abstract
Abstract
Studies on the discrete element method (DEM) parameters of Morchella seeds are limited due to their high moisture content and weak inter-particle adhesion. However, accurate DEM simulations are crucial for the design of agricultural machinery. Physical experiments were conducted to measure the fundamental properties of Morchella seeds, and a DEM model was established using the Hertz–Mindlin with JKR contact model. Subsequently, Plackett–Burman, steepest ascent, and Box–Behnken experiments were employed. They were used to analyze the significance of key contact parameters. A second-order polynomial regression model for the repose angle was developed, and significant contact parameters were optimized and calibrated. The results showed that the seed-to-seed rolling friction coefficient, seed-to-seed surface energy, and seed-to-steel rolling friction coefficient significantly impacted the repose angle. The simulation results using the optimized contact parameters closely matched the repose angle measured in physical experiments. The relative error was only 0.16%, validating the accuracy of the parameter calibration.
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Research context
OpenAlex topics: Soil Mechanics and Vehicle Dynamics · Mechanical and Thermal Properties Analysis · Agricultural Engineering and Mechanization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
Xinjiang Production and Construction Corps Key Laboratory of Utilization and Equipment of Special Agricultural and Forestry Products in Southern Xinjiang, Alar 843300, China
Modern Agricultural Engineering Key Laboratory, Universities of Education Department of Xinjiang Uygur Autonomous Region, Tarim University, Alar 843300, China
Funding
Science and Technology Planning Project of First Division of the City of Alar · Science and Technology Planning Project of Xinjiang Production and Construction Corps · Agriculture Bureau Project · Tarim University President Fund Project · Vegetable Industry System
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