한국분말재료학회지 (Journal of Powder Materials)

  • 제28권6호
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  • Pages.509-517
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  • 2021
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  • 2799-8525(pISSN)
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  • 2799-8681(eISSN)
한국분말재료학회 (*구 분말야금학회) (The Korean Powder Metallurgy & Materials Institute)
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자성 분말 기반 소프트 자성 액츄에이터 및 센서 연구 동향

Recent Advances in Soft Magnetic Actuators and Sensors using Magnetic Particles

  • 송현서 (울산과학기술원(UNIST) 신소재공학과) ;
  • 이하준 (울산과학기술원(UNIST) 신소재공학과) ;
  • 김정효 (울산과학기술원(UNIST) 신소재공학과) ;
  • 김지윤 (울산과학기술원(UNIST) 신소재공학과)
  • Song, Hyeonseo (Department of Material Scinece and Engineering, Ulsan National Insstitute of Scinece and Technology (UNIST)) ;
  • Lee, Hajun (Department of Material Scinece and Engineering, Ulsan National Insstitute of Scinece and Technology (UNIST)) ;
  • Kim, Junghyo (Department of Material Scinece and Engineering, Ulsan National Insstitute of Scinece and Technology (UNIST)) ;
  • Kim, Jiyun (Department of Material Scinece and Engineering, Ulsan National Insstitute of Scinece and Technology (UNIST))
  • 투고 : 2021.10.06
  • 심사 : 2021.11.16
  • 발행 : 2021.12.28
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초록

Smart materials capable of changing their characteristics in response to stimuli such as light, heat, pH, and electric and magnetic fields are promising for application to flexible electronics, soft robotics, and biomedicine. Compared with conventional rigid materials, these materials are typically composed of soft materials that improve the biocompatibility and allow for large and dynamic deformations in response to external environmental stimuli. Among them, smart magnetic materials are attracting immense attention owing to their fast response, remote actuation, and wide penetration range under various conditions. In this review, we report the material design and fabrication of smart magnetic materials. Furthermore, we focus on recent advances in their typical applications, namely, soft magnetic actuators, sensors for self-assembly, object manipulation, shape transformation, multimodal robot actuation, and tactile sensing.

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과제정보

본 연구는 한국분말야금학회 고성능 고부가가치 미래자성소재연구회 사업, 한국재료연구원 일반사업(PNK7630), 울산과학기술원의 미래선도형 특성화사업(1.210035.01), 그리고 정부의 재원으로 한국연구재단의 기초연구실지원사업(2021R1A4A3033149), 중견연구자지원사업(2020R1A2C2102842), 해외우수연구기관유치사업(2017K1A4A3015437), 기초연구사업(2021R1A6A3A13040034)의 연구비 지원에 의해 수행되었습니다.

참고문헌

  1. L. Hines, K. Petersen, G. Z. Lum and M. S. Itti: Adv. Mater., 29 (2017) 1603483. https://doi.org/10.1002/adma.201603483
  2. S. Rich, R. J.Wood and C. Majidi: Nat. Electron., 1 (2018) 102. https://doi.org/10.1038/s41928-018-0024-1
  3. M. Cianchetti, C. Laschi, A. Menciassi and P. Dario: Nat. Rev. Mater., 2 (2018) 1.
  4. M. Wei, Y. Gao, X. Li and M. J. Serpe: Polym. Chem., 8 (2017) 127. https://doi.org/10.1039/c6py01585a
  5. Z. Shen, F. Chen, X. Zhu, K.-T. Yong and G. Gu: J. Mater. Chem. B., 8 (2020) 8972. https://doi.org/10.1039/d0tb01585g
  6. H.-J.Chung, A. M. Parsons and L. Zheng: Adv. Intelli. System., 3 (2021) 200186.
  7. M. Sitti and D. S. Wiersma: Adv. Mater., 32 (2020) 1906766. https://doi.org/10.1002/adma.201906766
  8. S. Tasoglu, E. Diller, S. Guve, M. Sitti and U. Demirci: Nat. Commun., 5 (2014) 4124. https://doi.org/10.1038/ncomms5124
  9. J. Kim, S. E. Chung, S.-E. Choi, H. Lee, J. Kim and S. Kwon: Nat. Mater., 10 (2011) 747. https://doi.org/10.1038/nmat3090
  10. X. Yan, Q. Zhou, M. Vincent, Y. Deng, J. Yu, J. Xu, T. Xu, T. Tang, L. Bian, Y.-X. J. Wang, K. Kostarelos and L. Zhnag: Sci. Robot., 2 (2017) 1155.
  11. H.-W. Huang, M. S. Sakar, A. J. Petruska, S. Pane and B. J. Nelson: Nat. Commun., 7 (2016) 12263. https://doi.org/10.1038/ncomms12263
  12. E. Diller, J. Zhuang, G. Z. Lum, M. R. Edwards and M. Sitti: Appl. Phys. Lett., 104 (2014) 174101. https://doi.org/10.1063/1.4874306
  13. J. Zhang, O. Onaizah, K. Middleton, L. You and E. Diller: IEEE Robot. Autom. Lett., 2 (2017) 835. https://doi.org/10.1109/LRA.2017.2657879
  14. W. Hu, G. Z. Lum, M. Mastrangeli and M. Sitti: Nature, 554 (2018) 81. https://doi.org/10.1038/nature25443
  15. H. Song, H. Lee, J. Lee, J. K. Choi, S. Lee, J. Y. Yi, S. Park, J.-W. Yoo, M. S. Kwon and J. Kim: Nano Lett., 20 (2020) 5185. https://doi.org/10.1021/acs.nanolett.0c01418
  16. A. Barbot, H. Tan, M. Power, F. Seichepine and G.-Z. Yang: Sci. Robot., 4 (2019) 8336.
  17. T. Xu, J. Zhang, M. Salehizadeh, O. Onaizah and E. Diller: Sci. Robot., 4 (2019) 4494.
  18. M. Pallapa and J. T. W. Yeow: Smart Mater. Struct., 24 (2015) 025007. https://doi.org/10.1088/0964-1726/24/2/025007
  19. M. Yue, X. Zhang and J. P. Liu: Nanoscale, 9 (2017) 3674. https://doi.org/10.1039/c6nr09464c
  20. C. Si, Z. Zhang, Q. Zhang and J. Cai: J. Non-Crystal. Solids, 559 (2021) 120675. https://doi.org/10.1016/j.jnoncrysol.2021.120675
  21. Z. Chen, B. R. Smith, B.-M. Ma and J. W. Herchenroeder: US, US7144463B2 (2006).
  22. E. Diller and M. Sitti: Adv. Func. Mater., 24 (2014) 4397. https://doi.org/10.1002/adfm.201400275
  23. G. Z. Lum, Z. Ye, X. Dong, H. Marvi, O. Erin, W. Hu and M. Sitti: Proc. Natl. Acad. Sci. U. S. A., 113 (2016) E6007.
  24. Y. Kim, H. Yuk, R. Zhao, S. A. Chester and X. Zhao: Nature, 558 (2018) 274. https://doi.org/10.1038/s41586-018-0185-0
  25. H. Lee, Y. Jang, J. K. Choe, S. Lee, H. Song, J. P. Lee, N. Lone and J. Kim: Sci. Robot., 5 (2020) 9024.
  26. B. A. Grzybowski, H. A. Stone and G. M. Whitesides: Nature, 405 (2000) 1033. https://doi.org/10.1038/35016528
  27. H. Xie, M. Sun, X. Fan, Z. Lin, W. Chen, L. Wang, L. Dong and Q. He: Sci. Robot., 4 (2019) 8006.
  28. S. Wu, C. M. Hamel, Q. Ze, F. Yang, H. J. Qi and R. Zhao: Adv. Intell. Syst., 2 (2020) 2000060. https://doi.org/10.1002/aisy.202000060
  29. Y. Kim, G. A. Parada, S. D. Liu and X. H. Zhao: Sci. Robot., 4 (2019) 7329.
  30. Y. Li, Z. Chen, G. Zheng, W. Zhong, L. Jiang, Y. Yang, L. Jiang, Y. Chen and C.-P. Wong: Nano Energy, 69 (2020) 104415. https://doi.org/10.1016/j.nanoen.2019.104415
  31. X. Zhang, J. Ai, Z. Ma, Z. Du, D. Chen, R. Zou and B. Su: Nano Energy, 69 (2020) 104391. https://doi.org/10.1016/j.nanoen.2019.104391
  32. Y. Wu, Y. Liu, Y. Zhou, Q. Man, C. Hu, W. Asghar, F. Li, Z. Yu, J. Shang, G. Liu, M. Liao and R.-W. Li: Sci. Robot., 3 (2018) 0429.
  33. Y. Yan, Z. Hu, Z. Yang, W. Yuan, C. Song, J. Pan and Y. Shen: Sci. Robot., 6 (2021) 8881.
  34. T. Hellebrekers, O. Kroemer and C. Majidi: Adv. Intell. Syst., 1 (2019) 1900025. https://doi.org/10.1002/aisy.201900025
  35. S. Wu, W. Hu, Q. Ze, M. Sitti and R. Zhao: Multifunct. Matter., 3 (2020) 042003. https://doi.org/10.1088/2399-7532/abcb0c
  36. J. Ge, X. Wang, M. Drack, O. Volkov, M. Liang, G. S. C. Bermudez, R. Illing, C. Wang, S. Zhou, J. Fassbender, M. Kaltenbrunner and D. Makarov: Nat. Commun., 10 (2019) 4405. https://doi.org/10.1038/s41467-019-12303-5
  37. S. W. Lee, S. Baek, S.-W. Park, M. Koo, E. H. Kim, S. Lee, W. Jin, H. Kang, C. Park, G. Kim, H. Shin, W. Shim, S. Yang, J.-H. Ahn and C. Park: Nat. Commun., 11 (2020) 6072. https://doi.org/10.1038/s41467-020-19523-0
  38. J. Huang, Z. Ma, Z. Wu, L. Peng and B. Su: Adv. Electron. Mater., 7 (2021) 2100335. https://doi.org/10.1002/aelm.202100335