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Updated: May 21, 2025

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.
Published on: June 16, 2018
Segregation of particles during maize loading process in a center-loaded silo
Guixiang Chen1,2, Chaosai Liu1,2, Deqian Zheng3,4
1College of Civil Engineering, Henan University of Technology, Zhengzhou, China.
Maize loading causes kernel breakage and segregation, impacting grain storage. Higher drop heights increase broken kernels, reducing silo center porosity and affecting aeration, drying, and pest control.
Area of Science:
- Agricultural Engineering
- Grain Storage Technology
- Material Handling
Background:
- Kernel breakage and segregation are inherent issues during maize silo loading.
- Understanding these phenomena is crucial for optimizing grain storage conditions, including aeration, drying, and insect control.
Purpose of the Study:
- To investigate the distribution and segregation of various maize components during the loading process.
- To analyze the impact of drop height on the spatial distribution of broken kernels, dust, fragments (BKDF), and impurities.
- To develop a model predicting porosity distribution influenced by kernel breakage and segregation.
Main Methods:
- Maize was loaded into a center-loaded silo from four different drop heights (0.3, 1, 2, and 3.1 m).
- Samples were collected using a vertical sampling tube at multiple radial locations.
- Porosity distribution was determined based on the collected samples and spatial position.
Main Results:
- Increased drop heights led to a higher content of broken kernels, dust, and fragments (BKDF).
- BKDF concentration decreased nonlinearly with increasing distance from the silo's center.
- Foreign kernels concentrated near the center, inorganic impurities in the mid-radius, and organic impurities near the wall.
- Porosity was minimized at the silo center (0.421-0.438) and increased radially outward.
Conclusions:
- Kernel breakage and segregation significantly influence porosity distribution within the silo.
- Drop height is a critical factor affecting the segregation of maize components.
- The developed nonlinear model can predict porosity distribution, aiding in improved grain storage management.
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