OPTIMIZING THE UNIT STRUCTURE OF THE DRAINAGE-TYPE CYCLONE SEPARATOR FOR SAND SAMPLE COLLECTION

This paper introduces a cyclone separation sand sampler with diversion flow to enhance soil wind erosion monitoring accuracy. Using CFD simulations and orthogonal testing, the optimal structural parameters for improved sampling efficiency were determined. A response model showed strong predictive capability with a P-value less than 0.0001 and R² of 0.9482. Wind tunnel tests demonstrated that the new sampler achieved a 91.44% efficiency, surpassing the 90.81% of the traditional design. The research provides valuable data for more accurate wind-sand flow monitoring, aiding in desertification prevention and improving wind erosion assessments in grasslands.

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Publication Details

Journal
INMATEH Agricultural Engineering
Published
2024-12-19
DOI
https://doi.org/10.35633/inmateh-74-55
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

OPTIMIZING THE UNIT STRUCTURE OF THE DRAINAGE-TYPE CYCLONE SEPARATOR FOR SAND SAMPLE COLLECTION

Jining ZHANG, C. Zhang, Tian Guo, Shizhou Wu et al.
INMATEH Agricultural Engineering
Soil Mechanics and Vehicle Dynamics
article

OPTIMIZING THE UNIT STRUCTURE OF THE DRAINAGE-TYPE CYCLONE SEPARATOR FOR SAND SAMPLE COLLECTION

Jining ZHANG, C. Zhang, Tian Guo, Shizhou Wu, Muhammad Ariff Baharudin
article en

Abstract

This paper introduces a cyclone separation sand sampler with diversion flow to enhance soil wind erosion monitoring accuracy. Using CFD simulations and orthogonal testing, the optimal structural parameters for improved sampling efficiency were determined. A response model showed strong predictive capability with a P-value less than 0.0001 and R² of 0.9482. Wind tunnel tests demonstrated that the new sampler achieved a 91.44% efficiency, surpassing the 90.81% of the traditional design. The research provides valuable data for more accurate wind-sand flow monitoring, aiding in desertification prevention and improving wind erosion assessments in grasslands.

INMATEH Agricultural Engineering
State Nuclear Power Technology Company (China) (CN), University of Technology Malaysia (MY), Shanxi Datong University (CN)
National Natural Science Foundation of China, Xinjiang Production and Construction Corps
Affordable and clean energy
Openalex Percentile: Top 73%
Soil Mechanics and Vehicle Dynamics
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