# CFD-DEM-based simulation and performance analysis of key parameters in pneumatic high- speed precision maize seed-metering device

**Authors:** Junzhi Chen, Shaobo Qi, Fudong Xu, Pengcheng Jia, Zixin Yuan, Dejun Xi, Hongyang Xu, Jinwu Wang

PMC · DOI: 10.3389/fpls.2025.1700037 · Frontiers in Plant Science · 2025-10-28

## TL;DR

This study uses simulations to optimize a high-speed maize seed metering device, improving seed placement accuracy and reducing errors.

## Contribution

A novel CFD-DEM-based approach is applied to analyze and optimize key parameters in a pneumatic seed-metering device.

## Key findings

- A 4.5 mm hole diameter provided optimal suction efficiency and stability for seed pickup.
- A 22 mm seed guide tube inner diameter improved airflow uniformity and seed acceleration.
- Combining -4 kPa negative pressure and 3 kPa positive pressure achieved 96.48% seed qualification with 10.90% variation.

## Abstract

To reduce seed loss, miss and multiple seeding in high-speed precision sowing, a pneumatic high-speed precision maize seed metering device was designed and analyzed in this study. Single-factor CFD simulations were conducted for the diameter of the seedling tray shaped holes and the inner diameter of the seed guide tube, respectively. Results showed that a hole diameter of 4.5 mm offered the best balance between suction efficiency and stability at different angular positions on the seed plate. Likewise, a seed guide tube inner diameter of 22 mm resulted in more uniform airflow and more consistent seed acceleration. A subsequent coupled CFD-DEM simulation was conducted, beginning with single-factor studies to identify a negative pressure range of -4 to -6 kPa that ensures reliable seed pickup and transport. Multi-factor simulations then incorporated positive pressure assistance in the seed guide tube. Bench tests at a forward velocity of 10 km/h confirmed that the best parameter combination was a negative pressure of -4 kPa and a positive pressure of 3 kPa, achieving a seed qualification rate of 96.48% and a coefficient of variation of 10.90%. The relative error between simulation and experimental results was within 5%, demonstrating excellent agreement and effective seeding uniformity.

## Linked entities

- **Species:** Zea mays (taxon 4577)

## Full-text entities

- **Species:** Solanum tuberosum (potatoes, species) [taxon 4113], Glycine max (soybean, species) [taxon 3847]

## Full text

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## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12602437/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12602437/full.md

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Source: https://tomesphere.com/paper/PMC12602437