Design and modal analysis of magnetite ore sorting equipment based on hall sensor

The existing magnetite sorting equipment is afflicted with two significant deficiencies: high energy consumption and a lack of intelligence. Accordingly, a set of high-efficiency intelligent magnetite sorting equipment was designed. The device employs Hall sensors to identify the magnetic induction signal of magnetite and transmits commands to a solenoid valve via a STM32 controller, thereby enabling precise sorting through a blowing device. However, in practice, the sensors mounted on the rack are susceptible to interference from vibration noise. Consequently, a comprehensive examination of the intrinsic and prestressed modes of the equipment frame was conducted, revealing a notable decline in the intrinsic frequency of the frame, averaging approximately 0.018 Hz, following the application of the prestressing force. Moreover, the fifth intrinsic frequency exhibited a strong correlation with the operating frequency of the air compressor motor, potentially leading to resonance and resulting in damage to the sensors' normal functionality. Accordingly, the structural design of the equipment frame was optimized, particularly in the deformable area, and square steel tubes were employed to enhance its stability. The optimized frame's inherent frequency successfully avoids the operating range of the air compressor motor, effectively avoiding the resonance problem and ensuring the stable operation of the sensor.

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Publication Details

Published
2025-03-05
DOI
https://doi.org/10.1117/12.3059942
Primary Topic
Non-Destructive Testing Techniques
Type
article
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article

Design and modal analysis of magnetite ore sorting equipment based on hall sensor

Dong Zeng, Gao‐Lin Wu, Chunrong Pan, Zhi Zeng
Non-Destructive Testing Techniques
article

Design and modal analysis of magnetite ore sorting equipment based on hall sensor

Dong Zeng, Gao‐Lin Wu, Chunrong Pan, Zhi Zeng
article en

Abstract

The existing magnetite sorting equipment is afflicted with two significant deficiencies: high energy consumption and a lack of intelligence. Accordingly, a set of high-efficiency intelligent magnetite sorting equipment was designed. The device employs Hall sensors to identify the magnetic induction signal of magnetite and transmits commands to a solenoid valve via a STM32 controller, thereby enabling precise sorting through a blowing device. However, in practice, the sensors mounted on the rack are susceptible to interference from vibration noise. Consequently, a comprehensive examination of the intrinsic and prestressed modes of the equipment frame was conducted, revealing a notable decline in the intrinsic frequency of the frame, averaging approximately 0.018 Hz, following the application of the prestressing force. Moreover, the fifth intrinsic frequency exhibited a strong correlation with the operating frequency of the air compressor motor, potentially leading to resonance and resulting in damage to the sensors' normal functionality. Accordingly, the structural design of the equipment frame was optimized, particularly in the deformable area, and square steel tubes were employed to enhance its stability. The optimized frame's inherent frequency successfully avoids the operating range of the air compressor motor, effectively avoiding the resonance problem and ensuring the stable operation of the sensor.

Jiangxi University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 96%
Non-Destructive Testing Techniques
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