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Approximating the Performance of a Time-Domain Pulsed Induction EMI Sensor with Multiple Frequency-Domain FEM
Becan Lawless1, Danny Hills1, Adam D Fletcher1
1Department of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
Sensors (Basel, Switzerland)
|December 11, 2025
Summary
Developing Arctic electromagnetic induction (EMI) sensors is challenging due to environmental inaccessibility. This study presents a faster simulation method using frequency-domain analysis to optimize sensor design, reducing computational time significantly.
Area of Science:
- Geophysics
- Electromagnetism
- Sensor Technology
Background:
- Developing Pulsed Induction (PI) electromagnetic induction (EMI) sensors for Arctic applications is hindered by environmental inaccessibility and high costs of in situ testing.
- Robust simulation strategies are crucial for optimizing PI sensor features like coil turns and geometry.
- Previous work established a time-domain finite element model (FEM) for simulating Arctic PI sensors.
Purpose of the Study:
- To present a novel method for approximating time-domain PI sensor simulations using multiple frequency-domain simulations.
- To validate this frequency-domain approach against empirical data.
- To demonstrate the method's capability in enabling broader sensor performance comparisons over a wider parameter space.
Main Methods:
- Approximation of time-domain PI sensor simulations using multiple frequency-domain simulations.
- Comparison of the Fast Fourier Transform (FFT) of time-domain simulations with collections of frequency-domain simulations.
- Validation against empirical data using a PI sensor over seawater with an air gap simulating sea ice.
Main Results:
- The frequency-domain simulation method was validated against empirical data.
- Simulations covered a range of coil dimensions (0.5x0.5 m to 1.0x2.0 m).
- A significant reduction in simulation time was achieved, from 38,013 minutes for a time-domain simulation to 141 minutes for a frequency-domain simulation (for 10 lift-off distances).
Conclusions:
- The proposed frequency-domain simulation method offers a computationally efficient alternative to time-domain simulations for PI sensor development.
- This approach facilitates the optimization and comparison of sensor designs over an expanded parameter space.
- The method effectively streamlines the development of PI sensors for challenging environments like the Arctic.
Keywords:
FEMelectromagnetic sensingfinite element modellingoptimisationsensor characterisationsensor simulationtime-domain metal detection
