Abstract
Magnetic induction tomography is an imaging technique used to image electromagnetic properties of an object by using the eddy current effect. (MIT) is a non-destructive method that greatly is used in the agriculture industry. This method provided an opportunity to improve the quality of agricultural products. MIT simulation was used for agarwood existence detection. This paper presented for the simulation system contains 7 channel coils receiver and a channel transmitter which is a sensing detector. This experiment aims to demonstrate the reaction of induced current density and magnetic field at 10 MHz frequency. Then, it also determines the optimal solenoid coil to be used for a better outcome for the magnetic induction system. The simulation result shows that coil diameter, coil length, and coil layer have a crucial role in the great performance of the induced current and magnetic field. The more coil turns, the greater the strength of the permanent magnetic field around the solenoid coil. The result of the simulation is important and needs to be considered to verify the effectiveness of the system for developing the magnetic induction circuit design.
Highlights
The induced current density and magnetic field were observed at the agarwood sample
Coil diameter influences the generation of induced current density and magnetic field
Referring to the simulation analysis result found that, magnetic induction tomography (MIT) can detect the agarwood inside the sample by using 10MHz frequency which is usually used by the medical-industrial application
Summary
Agarwood (Aquilaria Malaccensis) is well known as Gaharu in Malaysia and it is can be found in Southeast Asian Country. COMSOL multiphysics is used to demonstrate the reaction of the induced current and magnetic field. This demonstration is to investigate theoretical dependence (coil diameter, coil turns and length and coil layers) and the dependence of the magnetic field object on its geometric parameters and the relative magnetic permeability of the samples. These 3 dependence parameters gave a great influence on magnetic strength[11]
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