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This is a In Vitro Study study (also classified as: Observational).

Discrete Element Simulation Calibration of Contact Parameters for Millet Seeds

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This research demonstrates the calibrated contact parameters in foxtail millet simulations, indicating their impact on seeding machinery design.

The calibrated contact parameters improved the accuracy of DEM simulations, achieving a simulated repose angle of 22.2°.
Key parameters such as the restitution coefficient and friction coefficients were meticulously measured and optimized.
A Box–Behnken response surface methodology established a quadratic regression model for best parameter combinations.
The study shows the practical applicability of calibrated parameters for foxtail millet seeding machinery design.

He et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

This research demonstrates the calibrated contact parameters in foxtail millet simulations, indicating their impact on seeding machinery design.

The calibrated contact parameters improved the accuracy of DEM simulations, achieving a simulated repose angle of 22.2°.
Key parameters such as the restitution coefficient and friction coefficients were meticulously measured and optimized.
A Box–Behnken response surface methodology established a quadratic regression model for best parameter combinations.
The study shows the practical applicability of calibrated parameters for foxtail millet seeding machinery design.

He et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark