Real-time Capacitive Sensor Applied to a Train Wagon Prototype for Measuring Iron Ore Moisture

Authors

Keywords:

Capacitive sensor, Moisture, Iron ore, Train wagon, Dielectric constant

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

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Author Biographies

Gabriel Santos, Universidade Federal de Ouro Preto and Instituto Tecnológico Vale, Ouro Preto, MG, 35400-000, Brazil

Received the B.Sc. degree in Electrical Engineering from the Instituto Federal de Educação, Ciência e Tecnologia da Bahia (IFBA), Brazil, in 2017, and the M.Sc. degree in Instrumentation, Control, and Automation of Mining Process from the Universidade Federal de Ouro Preto (UFOP) and the Instituto Tecnológico Vale (ITV), Ouro Preto, Brazil, in 2020

Érica Pinto, Universidade Federal de Ouro Preto and Instituto Tecnológico Vale, Ouro Preto, MG, 35400-000, Brazil

Received the B.Sc. degree in Control and Automation Engineering from the Universidade Federal de Ouro Preto (UFOP), Ouro Preto, Brazil, in 2017, and the M.Sc. degree in Instrumentation, Control, and Automation of Mining Process from UFOP and the Instituto Tecnológico Vale, Ouro Preto, Brazil. She is currently a D.Sc. student in Computer Science at UFOP

Artur Silva, Universidade Federal do Pará, Tucuruí, PA, 68455-901, Brazil

Received the B.Sc. degree in Mechanical Engineering from the Universidade Federal do Pará (UFPA), Brazil in 2019 and the M.Sc. degree in Infrastructure and Energy Development from the Universidade Federal do Pará (UFPA), Brazil in 2022. He is currently a professor of metal mechanics at the Serviço Nacional de Aprendizagem Industrial (SENAI) in Canaã dos Carajás, Brazil

Paulo Monteiro, Universidade Federal de Ouro Preto and Instituto Tecnológico Vale, Ouro Preto, MG, 35400-000, Brazil

Received the B.Sc. degree in Electronic and Telecommunications Engineering from the Pontifícia Universidade Católica de Minas Gerais in 1978, a master's degree in Mechanical Engineering from the Universidade Federal de Uberlândia in 1994, and a Ph.D. in Agricultural Engineering from the Universidade Federal de Viçosa in 2002. He is currently a collaborating professor at the Universidade Federal de Viçosa and a full professor at the Universidade Federal de Ouro Preto (UFOP)

André Mesquita, Universidade Federal do Pará, Tucuruí, PA, 68455-901, Brazil

Received the B.Sc. degree in Mechanical Engineering from the Universidade Federal do Pará (UFPA) in 1984, Brazil, a Master's degree in Aeronautical and Mechanical Engineering from the Instituto Tecnológico de Aeronáutica (ITA) in 1987, Brazil and a PhD in Mechanical Engineering from the Institut National Polytechnique in 1992, Grenoble, France. He is currently a professor at the Universidade Federal do Pará (UFPA) and Director of TECNOLAGO - Technology Park of Lago in Tucuruí Brazil

Alan Kardek Segundo, Universidade Federal de Ouro Preto and Instituto Tecnológico Vale, Ouro Preto, MG, 35400-000, Brazil

Received the B.Sc. degree in Control and Automation Engineering from the Universidade Federal de Ouro Preto (UFOP), Ouro Preto, Brazil, in 2008, and the M.Sc. and D.Sc. degrees in Agricultural Engineering from the Universidade Federal de Viçosa, Viçosa, Brazil, in 2010, and 2014, respectively. He is currently a Reseacher with the Universidade Federal de Ouro Preto and the Instituto Tecnológico Vale, Ouro Preto, Brazil

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Published

2023-03-23

How to Cite

Santos, G., Pinto, Érica ., Silva, A. ., Monteiro, P. ., Mesquita, A. ., & Segundo, A. K. . (2023). Real-time Capacitive Sensor Applied to a Train Wagon Prototype for Measuring Iron Ore Moisture. IEEE Latin America Transactions, 21(4), 595–601. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/7486

Issue

Vol. 21 No. 4 (2023): Ordinary Issue

Section

Electronics