Performance analysis of IPMC electrode based on the densest packing principle
Source abstract
Abstract
Based on the deposition and permeation of metal particles during the formation of IPMC electrode, the microstructure of the electrode was analyzed. In combination with the principle of the most compact packing, the electrode is modeled by the face-centered cubic most compact packing and the hexagonal crystal system. Finally, the model is verified by experiments. The results show that the predicted values are in good agreement with the experimental data, and the relative error is small. The influences of packing density, coincidence ratio, electrode thickness and particle radius on the resistance and capacitance of IPMC are discussed. By controlling these parameters effectively, the electric properties of IPMC electrodes can be designed, the ideal actuators and sensors can be prepared, and the potential application range of IPMC can be expanded.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Dielectric materials and actuators · Advanced Sensor and Energy Harvesting Materials · Ferroelectric and Piezoelectric Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (30)
Show source-provided references
1. L. Yang, D. Zhang, X. Zhang, A. Tian, Prediction of the actuation property of Cu ionic polymer-metal composites based on backpropagation neural networks. ACS Omega 5, 4067 (2020)10.1021/acsomega.9b03725 ↗
2. H.S. Wang, J. Cho, D.S. Song, J.H. Jang, J.Y. Jho, J.H. Park, High-performance electroactive polymer actuators based on ultrathick ionic polymer–metal composites with nanodispersed metal electrodes. ACS Appl. Mater. Interface 9, 21998–22005 (2017)10.1021/acsami.7b04779 ↗
3. K. Ajahar, J.R. Kant, B. Priyabrata, G. Bhaskar, A.M. Inamuddin Asiri, Development, characterization and electromechanical actuation behavior of ionic polymer metal composite actuator based on sulfonated poly(1,4-phenylene ether-ether-sulfone)/carbon nanotubes. Sc. Rep. 8, 9909 (2018)10.1038/s41598-018-28399-6 ↗
4. L. Yang, D. Zhang, X. Zhang, A. Tian, Fabrication and actuation of Cu-ionic polymer metal composite. Polymers 12, 460 (2020)10.3390/polym12020460 ↗
5. J.S. Swarrup, R. Ganguli, G. Madras, Studies to improve the actuation capability of low-frequency IPMC actuators for underwater robotic applications. ISSS J. Micro Smart Syst. 8, 41–47 (2019)10.1007/s41683-019-00038-w ↗
6. A. Mattioni, Y. Wu, H. Ramirez, Y.L. Gorrec, A. Macchelli, Modelling and control of an IPMC actuated flexible structure: a lumped port hamiltonian approach. Control Eng. Pract. 101, 104498 (2020)10.1016/j.conengprac.2020.104498 ↗
7. M. Annabestani, N. Naghavi, M. Maymandi-Nejad, From modeling to implementation of a method for restraining back relaxation in ionic polymer–metal composite soft actuators. J. Intel. Mat. Syst. Str. 29, 1045389X1878308 (2018)10.1177/1045389X18783082 ↗
8. L. Yang, D. Zhang, X. Zhang, A. Tian, X. Wang, Models of displacement and blocking force of ionic-polymer metal composites based on actuation mechanism. Appl. Phys. A 126, 365 (2020)10.1007/s00339-020-03546-x ↗
9. V.N. Duy, H.M. Kim, A Study of the movement, structural stability, and electrical performance for harvesting ocean kinetic energy based on IPMC Material. Processes 8, 641 (2020)10.3390/pr8060641 ↗
10. T. Horiuchi, T. Mihashi, T. Fujikado, T. Oshika, K. Asaka, Voltage-controlled ipmc actuators for accommodating intra-ocular lens systems. Smart Mater. Struct. 26, 045021 (2017)10.1088/1361-665X/aa61e8 ↗
11. V. Sunkara, A. Chakravarthy, X. Yi, W. Zuo, Z. Chen, Cooperative optimal collision avoidance laws for a hybrid-tailed robotic fish. IEEE Trans. Control Syst. Technol. 28, 1569–1578 (2020)10.1109/TCST.2019.2910478 ↗
12. K.M. Newbury, D.J. Leo, Linear electromechanical model of ionic polymer transducers- Part II: experimental validation. J. Intel. Mater. Syst. Struct. 14, 343–357 (2003)10.1177/1045389X03034977 ↗
13. K. Farinholt, D.J. Leo, Modeling of electromechanical charge sensing in ionic polymer transducers. Mech. Mater. 36, 421–433 (2004)10.1016/S0167-6636(03)00069-3 ↗
14. C. Bonomo, L. Fortuna, P. Giannone, S. Graziani, A circuit to model the electrical behavior of an ionic polymer-metal composite. IEEE Trans. Circuits 53, 338–350 (2006)10.1109/TCSI.2005.856042 ↗
15. A. Punning, M. Kruusmaa, A. Aabloo, Surface resistance experiments with IPMC sensors and actuators. Sens. Actuator A 133, 200–209 (2007)10.1016/j.sna.2006.03.010 ↗
16. Z. Chen, X. Tan, A. Will, C. Ziel, A dynamic model for ionic polymer–metal composite sensors. Smart Mater. Struct. 16, 1477 (2007)10.1088/0964-1726/16/4/063 ↗
17. S.J. Kim, S. Kim, K.J. Kim, Y.H. Kim, An electrode model for ionic polymer-metal composites. Smart Mater. Struct. 16, 2286–2295 (2007)10.1088/0964-1726/16/6/031 ↗
18. G.D. Bufalo, L. Placidi, M. Porfiri, A mixture theory framework for modeling the mechanical actuation of ionic polymer metal composites. Smart Mater. Struct. 17, 045010 (2008)10.1088/0964-1726/17/4/045010 ↗
19. T. Ganley, D.L.S. Hung, G. Zhu, X. Tan, Modeling and inverse compensation of temperature-dependent ionic polymer-metal composite sensor dynamics. IEEE-ASME Trans. Mech. 16, 80–89 (2011)10.1109/TMECH.2010.2090665 ↗
20. D.N.C. Nam, K.K. Ahn, Identification of an ionic polymer metal composite actuator employing Preisach type fuzzy NARX model and Particle Swarm Optimization. Sens. Actuator A 183, 105–114 (2012)10.1016/j.sna.2012.05.012 ↗
21. M. Aureli, M. Porfiri, Nonlinear sensing of ionic polymer metal composites. Continuum Mech. Thermodyn. 25, 273–310 (2013)10.1007/s00161-012-0253-x ↗
22. H. Lei, C. Lim, X. Tan, Modeling and inverse compensation of dynamics of base-excited ionic polymer-metal composite sensors. J. Intel. Mater. Syst. Struct. 24, 1557–1571 (2013)10.1177/1045389X13478272 ↗
23. Y. Cha, M. Porfiri, Mechanics and electrochemistry of ionic polymer metal composites. J. Mech. Phys. of Solids 71, 156–178 (2014)10.1016/j.jmps.2014.07.006 ↗
24. Q. Shen, K.J. Kim, T. Wang, Electrode of ionic polymer-metal composite sensors: Modeling and experimental investigation. J. Appl. Phys. 115, 1184–1477 (2014)
25. Q. Shen, V. Palmre, T. Stalbaum, K.J. Kim, A comprehensive physics-based model encompassing variable surface resistance and underlying physics of ionic polymer-metal composite actuators. J. Appl. Phys. 6, 1444–1452 (2015)
26. Z. Zhu, L. Chang, T. Horiuchi, K. Takagi, A. Aabloo, K. Asaka, Multi-physical model of cation and water transport in ionic polymer-metal composite sensors. J. Appl. Phys. 119, 124901 (2016)10.1063/1.4944647 ↗
27. H. Zamyad, N. Naghavi, Behavior Identification of IPMC Actuators using Laguerre-MLP network with consideration of ambient temperature and humidity effects on their performance. IEEE T. Instrum. Meas. 67, 2723–2732 (2018)10.1109/TIM.2018.2822418 ↗
28. L. Yang, D. Zhang, H. Wang, X. Zhang, Actuation modeling of ionic–polymer metal composite actuators using micromechanics approach. Adv. Eng. Mater. 22, 2000537 (2020)10.1002/adem.202000537 ↗
29. W.Y. Hu, W.H. Qi, B.W Zhang, A semiempirical method to estimate vacancy formation energy of metals, J. hunan U. (Natural Sciences edition) 26, 1–6 (1999)
30. Z. Liu, Foundation of materials science (3rd edition). Northwestern polytechnical university press, 2007.