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Paulo Henrique Vieira Magalhaes

Bio: Paulo Henrique Vieira Magalhaes is an academic researcher. The author has contributed to research in topics: Conveyor belt & Iron ore. The author has co-authored 1 publications.

Papers
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Journal ArticleDOI
TL;DR: In this article, the capacitive method was used to determine the dielectric constant of the iron ore located between the sensor electrodes and, consequently, the moisture in a conveyor belt.
Abstract: Water content or moisture of materials is a parameter widely used in the industry. In mining, it is an important variable to control in iron ore production. High moistures may cause instability of iron ore piles and may make transport by ship unfeasible. Therefore, this paper presents the development of a system for measuring iron ore moisture on a conveyor belt (laboratory-scale). The structure that supports the sensor has two degrees of freedom, which allow perpendicular and parallel movements. The parallel movement makes the relative velocity between the measurement cell and the ore almost zero. The vertical movement allows the sensor to be placed at different depths in the ore. These sets enable real-time and in situ measurements. The system uses the capacitive method to determine the dielectric constant of the iron ore located between the sensor electrodes and, consequently, the moisture. This system has a measuring range of 0 to 14% on a dry basis and presents an uncertainty up to 0.07 percentage points for a 2-standard-deviation confidence level. In the validation process, the absolute error was less than 0.34 percentage point in the mining interest range of 6 to 14%. The founded results achieve a significant advance in the development of real-time equipment for measuring ore moisture since there is no device capable of doing it with the necessary level of accuracy and precision. For mining, this kind of system represents a big step to take corrective and preventive decisions around iron ore moisture control.

3 citations


Cited by
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Proceedings ArticleDOI
24 Oct 2022
TL;DR: In this paper , an automated conveyor belt system can sort objects based on their temperature and count the number of objects from the belt using Arduino, temperature sensor and ultrasonic sensor.
Abstract: Conveyor belt dynamics and stability have significantly improved in recent years. Still, the conveyor belt system necessitates a great deal of human intervention. This paper describes an advanced form of conveyor belt system that employs automation to sort the products on the belt. This automated conveyor belt system can sort objects based on their temperature and count the number of objects from the belt. The system which is presented in this paper uses Arduino, temperature sensor and ultrasonic sensor for automating the work done by humans on the conveyor belt system. This will help the industries to reduce labor, time, and expenses. The system presented in this paper is more reliable as it requires less labor which additionally brings about the lesser expense of assembling, further it increases productivity.
Proceedings ArticleDOI
24 Oct 2022
TL;DR: In this article , an automated conveyor belt system can sort objects based on their temperature and count the number of objects from the belt using Arduino, temperature sensor and ultrasonic sensor.
Abstract: Conveyor belt dynamics and stability have significantly improved in recent years. Still, the conveyor belt system necessitates a great deal of human intervention. This paper describes an advanced form of conveyor belt system that employs automation to sort the products on the belt. This automated conveyor belt system can sort objects based on their temperature and count the number of objects from the belt. The system which is presented in this paper uses Arduino, temperature sensor and ultrasonic sensor for automating the work done by humans on the conveyor belt system. This will help the industries to reduce labor, time, and expenses. The system presented in this paper is more reliable as it requires less labor which additionally brings about the lesser expense of assembling, further it increases productivity.
Journal ArticleDOI
TL;DR: In this paper , a parallel plate capacitive sensor applied to a small wagon prototype made of acrylic to measure the iron ore moisture and support studies of particulate emissions carried out in a laboratory.
Abstract: The emission of particulates during rail transport is related to the low moisture of the ore, which causes environmental pollution along the railroad. Given this problem, this work proposes the development of a parallel plate capacitive sensor applied to a small wagon prototype made of acrylic to measure the iron ore moisture and support studies of particulate emissions carried out in a laboratory. The sensor uses the Real-Dual Frequency method, which decreases the influence of electrical conductivity on the dielectric constant, even using low frequency (up to 8 MHz). From the dielectric constant, iron ore moisture is determined from indirect calibration, which obtained an accuracy of 0.07 pp and a maximum error of 0.39 pp. This study shows the development of an innovative real-time capacitive sensor, which uses a modern impedance-based technique to investigate particulate emissions and the drying behavior of iron ore