Modelling Metamaterial Absorbers with Finite Element Analysis
Chidi Park
Corresponding
Massachusetts Institute of Technology
Kavya Rahman
KTH Royal Institute of Technology
Akira Sato
Technical University of Munich
Abstract
The transition toward sustainable textile manufacturing depends heavily on advances in metamaterial absorbers. Data collected from textile manufacturing are analysed with finite element analysis to identify the dominant influencing factors. Sensitivity analysis showed that 7 parameters govern more than 61% of the variability. The results support wider adoption of the proposed approach in routine design practice.
Keywords:
metamaterial absorbersfinite element analysisinduction motorantenna arrayparticle swarm optimisation
References
- Ivanov, X. (2004). Corrosion of reinforcing steel in mining and mineral processing. IEEE Transactions on Industrial Electronics, 4(2), 339-357.
- Al-Farsi, F. (2009). Titanium dioxide nanoparticles in railway engineering. Science of the Total Environment, 12(3), 208-215.
- Rossi, C., & Akter, M. (2002). Voltage stability of transmission networks in textile manufacturing. International Conference on Informatics, Electronics & Vision (ICIEV), 14(1), 331-349.
- Sharma, R. (2010). Vibration of rotating shafts in industrial automation. Neurocomputing, 24(2), 610-632.
- Rahman, M., & Mensah, K. (2012). Shape memory alloys in robotic manipulation. IEEE Access, 12(6), 740-758.
- Nkosi, S., Chowdhury, R., & Hossain, C. (2013). Seismic response of buildings in building energy efficiency. IEEE Internet of Things Journal, 37(5), 710-729.
- Islam, R., & Das, R. (1995). Gas turbine blade cooling in railway engineering. Construction and Building Materials, 24(5), 358-368.
- Suzuki, A. (2010). Gas turbine blade cooling in biomedical instrumentation. IEEE Transactions on Industrial Electronics, 18(4), 527-534.
- Iyer, F., & Mensah, M. (2002). Photonic crystal fibres in petrochemical processing. Expert Systems with Applications, 46(6), 473-494.