Enhancing Learning of Electromagnetic Wave Propagation through 3D Visualization in Physics Education

Authors

  • Muhammad Suryauno Mahmudah Department of Physics Education, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia
  • Muhammad Abrar Asyrafy Yacobi Department of Physics Education, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia
  • Daniel Steeven Department of Physics Education, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia

DOI:

https://doi.org/10.58797/cser.020104

Keywords:

attenuation constants, conductivity, electromagnetic wave propogation, FDTD method

Abstract

This study aims to simulate the characteristics of electromagnetic wave propagation in different media, specifically focusing on water and oil, using Maxwell's wave equations. Water, acting as a conductor, and oil, as an insulator, were chosen to investigate the disparities in conductivity, attenuation constants, and their effects on wave propagation. The concept of electromagnetic wave propagation forms the basis for many advanced topics in physics, but is often challenging due to its abstract nature. Through these simulations, researchers observed temporal changes in electric and magnetic fields and visualized wave trajectories. These simulations allow for an extensive analysis without the need for physical wave transmission experiments. The integration of 3D visualization is a tool that can significantly improve students' concept understanding through visual and interactive representation of wave propagation. This research enhances theoretical understanding and has practical applications in areas such as underwater communications, oil spill monitoring, and measuring oil layer thickness. By employing the Finite-Difference Time-Domain (FDTD) method, the simulations demonstrated that variations in conductivity and attenuation constants considerably influence the behavior of electromagnetic waves. In oil, the waves retain their amplitude and phase during propagation, whereas in water, they experience attenuation, leading to a reduction in amplitude. These results offer valuable insights into the interaction of electromagnetic waves with various media, providing practical guidance for optimizing the performance of devices utilizing these waves.

References

Alarifi, S. A., & Mahmoud, M. (2022). Laboratory dielectric measurements to evaluate the conductivity change in the presence of chelating agent with different brines. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-23964-6

Ali, A. R., Eldabe, N. T. M., El, A., Ibrahim, M., & Abo-Seida, O. M. (2023). EM wave propagation within plasma-filled rectangular waveguide using fractional space and LFD. The European Physical Journal Special Topics, 232(14-15), 2531–2537. https://doi.org/10.1140/epjs/s11734-023-00934-1

Burke, P. J. (2020). Demonstration and application of diffusive and ballistic wave propagation for drone-to-ground and drone-to-drone wireless communications. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-71733-0

Chen, L., Shen, W., Zhou, Y., Mou, X., & Lei, L. (2023). Learning-based sparse spatiotemporal modeling for distributed thermal processes of Lithium-ion batteries. Journal of Energy Storage, 69, 107834–107834. https://doi.org/10.1016/j.est.2023.107834

Cox, S. J., & Geissler, P. L. (2022). Dielectric response of thin water films: a thermodynamic perspective. Chemical Science, 13(31), 9102–9111. https://doi.org/10.1039/d2sc01243j

Firdaus, R. A., Khoiro, M., Asnawi, A., Bustomi, M. A., & Annovasho, J. (2021). Electromagnetic Wave Equation Approximation using FDTD method on Conductivity Material. Journal of Physics Conference Series, 2110(1). https://doi.org/10.1088/1742-6596/2110/1/012032

Griffiths, D. J. (2017). Introduction to Electrodynamics. Cambridge University Press.

Ji, C., Deng, S., Guan, R., & Zhu, M. (2019). Real‐Time Heat Transfer Model Based on Distributed Thermophysical Property Calculation for the Continuous Casting Process. Steel Research International, 90(5). https://doi.org/10.1002/srin.201800476

Lv, H., Yang, Z. H., Liu, B., Wu, G., Lou, Z., Fei, B., & Wu, R. (2021). A flexible electromagnetic wave-electricity harvester. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-21103-9

Muhibbullah, M. (2021). Phase difference between electric and magnetic fields of the electromagnetic waves. Optik, 247, 167862. https://doi.org/10.1016/j.ijleo.2021.167862

Müller, C. (2014). Foundations of the Mathematical Theory of Electromagnetic Waves. Springer.

Pacheco, P. A. P., Silveira, M. E., & Silva, J. A. (2019). Heat distribution in electric hot incremental sheet forming. The International Journal of Advanced Manufacturing Technology, 102(1-4), 991–998. https://doi.org/10.1007/s00170-018-03228-2

Pawlik, B., Woodhouse, D. J., & Summers, T. J. (2020). Propagation Along a Thin Insulated Conductor Parallel to Interfacing Homogeneous Half-Spaces. IEEE Transactions on Electromagnetic Compatibility, 62(5), 2065–2075. https://doi.org/10.1109/temc.2020.2965156

Pozar, D. M. (2021). Microwave Engineering. John Wiley & Sons.

Qin, M., Zhang, L., & Wu, H. (2022). Dielectric Loss Mechanism in Electromagnetic Wave Absorbing Materials. Advanced Science, 9(10), 2105553. https://doi.org/10.1002/advs.202105553

Samadpour, E., Kiani, E., & Shams, M. H. (2023). Microwave permeability and electromagnetic wave absorption properties of Co2Y nanocomposites. Materials Science and Engineering B, 298, 116825–116825. https://doi.org/10.1016/j.mseb.2023.116825

Shi, J., Shen, J.-X., Wang, G., Chen, Y., Xiao, H., & Li, X. (2019). Matlab Simulation of Electromagnetic Waves Propagation Characteristics. IOP Conference Series: Materials Science and Engineering, 688(3). https://doi.org/10.1088/1757-899x/688/3/033011

Veirana, G. M., Verhegge, J., Cornelis, W., & Smedt, P. D. (2023). Soil dielectric permittivity modelling for 50 MHz instrumentation. Geoderma, 438, 116624–116624. https://doi.org/10.1016/j.geoderma.2023.116624

Wang, W., Cao, Y., Liu, G., Yao, Y., Jiang, W., Wang, J., & Luo, Y. (2024). A Water-Based Lossy Waveguide with High Attenuation Used in High Power Gyro-TWT. IEEE Electron Device Letters, 1–1. https://doi.org/10.1109/led.2024.3406706

Zong, S., Jiao, C., Zhang, J., Zhao, Z., & Gan, Z. (2023). Research on Electromagnetic Scattering Influence of Transmission Towers on Medium Wave Antenna Based on the Characteristic Mode Theory. International Journal of Antennas and Propagation, 2023, 1–14. https://doi.org/10.1155/2023/4788443

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Published

2024-04-30

How to Cite

Mahmudah, M. S., Yacobi, M. A. A., & Steeven, D. (2024). Enhancing Learning of Electromagnetic Wave Propagation through 3D Visualization in Physics Education. Current STEAM and Education Research, 2(1), 43-52. https://doi.org/10.58797/cser.020104

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