Optimization of structural parameters for the pneumatic conveying device of dried safflower filaments based on CFD-DEM coupling

To address the issues of low conveying efficiency and high energy consumption in the pneumatic conveying of dried safflower filaments, this study established a discrete element model (DEM) of dried safflower filaments and coupled it with Computational Fluid Dynamics (CFD). The conveying mechanism and the synergistic regulation effects of key structural parameters—side-wall inclination ( θ ), tail opening ratio ( ψ ), and transition section length ( L t )—on gas-solid flow characteristics were investigated. Results indicated that the coordinated regulation of these structural parameters significantly enhanced airflow velocity and material carrying capacity. Specifically, compared to the baseline rectangular pipe ( θ = 90 ∘ ), the optimized device achieved an increase of 192.2% in the average conveying rate and a 98.6% improvement in the specific pressure drop conveying capacity. A multi-objective optimization was conducted using Response Surface Methodology (RSM). The optimal combination was determined as θ = 133.7 ∘ , ψ = 0.75 , and L t = 80.9 mm. Bench validation experiments indicated that the optimized device achieved an average conveying rate of 130.36 g/s and a specific pressure drop conveying capacity of 0.044 g·s⁻¹·Pa⁻¹, with relative errors of 8.68% and 12.53% compared to simulations. This study provides a theoretical basis for the low-loss and high-efficiency design of pneumatic conveying systems for agricultural materials.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2026-01-12
DOI
https://doi.org/10.1016/j.rineng.2026.109092
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of structural parameters for the pneumatic conveying device of dried safflower filaments based on CFD-DEM coupling

Yun Ge, Botao He, Haifeng Zeng, Yijiang Zheng et al.
Results in Engineering
Granular flow and fluidized beds
article

Optimization of structural parameters for the pneumatic conveying device of dried safflower filaments based on CFD-DEM coupling

Yun Ge, Botao He, Haifeng Zeng, Yijiang Zheng, Yangyang Guo, Guotao Li, Chunjiao Ma
article en

Abstract

To address the issues of low conveying efficiency and high energy consumption in the pneumatic conveying of dried safflower filaments, this study established a discrete element model (DEM) of dried safflower filaments and coupled it with Computational Fluid Dynamics (CFD). The conveying mechanism and the synergistic regulation effects of key structural parameters—side-wall inclination ( θ ), tail opening ratio ( ψ ), and transition section length ( L t )—on gas-solid flow characteristics were investigated. Results indicated that the coordinated regulation of these structural parameters significantly enhanced airflow velocity and material carrying capacity. Specifically, compared to the baseline rectangular pipe ( θ = 90 ∘ ), the optimized device achieved an increase of 192.2% in the average conveying rate and a 98.6% improvement in the specific pressure drop conveying capacity. A multi-objective optimization was conducted using Response Surface Methodology (RSM). The optimal combination was determined as θ = 133.7 ∘ , ψ = 0.75 , and L t = 80.9 mm. Bench validation experiments indicated that the optimized device achieved an average conveying rate of 130.36 g/s and a specific pressure drop conveying capacity of 0.044 g·s⁻¹·Pa⁻¹, with relative errors of 8.68% and 12.53% compared to simulations. This study provides a theoretical basis for the low-loss and high-efficiency design of pneumatic conveying systems for agricultural materials.

Results in EngineeringVol. 29
Shihezi University (CN), Xinjiang Production and Construction Corps (CN), Ministry of Agriculture and Rural Affairs (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Granular flow and fluidized beds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.