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Detection of metallic contaminant in aluminium soda can using TMR sensor

Nurul A’in, Nadzri and Mohd Mawardi, Saari and Saifuddin, Razali and Mohd Rusllim, Mohamed and Hamzah, Ahmad (2018) Detection of metallic contaminant in aluminium soda can using TMR sensor. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer, Singapore, pp. 527-535. ISBN 9789811087875

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The contaminant is one of the big concerns in food processing industry and metallic objects can be one of the contaminant factors since most of the food processing equipment and tools are composed of metallic parts. Metal detector is used because these contaminant objects might cause injury to the consumers. Moreover, even the smallest particle of metals can lead to machinery failure. In this study, we have developed an inspection system for detecting the magnetic remanence of the contaminants. The system utilizes a Tunnel Magnetoresistance (TMR) Mag3110 magnetometer. An Arduino operating software was developed for data acquisition of Mag3110, and identification of the presence of the contaminant. In order to optimize the position of the magnetometer so that detection sensitivity can be enhanced, we performed a simulation based on magnetic moment dipole. The system performance was evaluated using stainless steel balls. The developed system could detect a stainless steel ball having diameter as small as 0.1 cm. The detected signal is sent to the control panel to analyze the presence of a metal object. The magnetic response with respect to position of the sensor, different size of metal objects and magnetization effect, is studied as well.

Item Type: Book Section
Uncontrolled Keywords: Metal detector; Magnetometer; Magnetic remanence
Subjects: Q Science > Q Science (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Dr. Mohd Mawardi Saari
Date Deposited: 25 May 2018 07:38
Last Modified: 28 Sep 2018 03:30
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