Self-Powered Clamp-On Pyroelectric Tactile Sensor for Intelligent Recognition of Film Materials

Abstract

Tactile sensors are a potential solution for material identification. However, current potential tactile sensors for material identification are pressed, expensive, and applications-confined. Here we report a clamped-on pyroelectric tactile sensor on the basis of a ferroelectric Bi_0.5Na_0.5TiO₃ material to identify different film materials. The fabricated device exhibits different heat absorption capacities while in contact with different materials, leading to a different temperature change in the ferroelectric material under the same illumination. As a result, the device can recognize different materials by comparing the pyroelectric charge via integrating the obtained current under the same irradiation of 365 nm light-emitting diode. The clamped-on pyroelectric tactile sensor can identify six individual materials with a high accuracy of 98.8% and a fast response of 40 ms. All of the above processes can be accomplished with an intelligent material identification system. The device provides a new solution for material identification and lays a foundation for smart factories and laboratories.

Keywords

Bi0.5Na0.5TiO3 (BNT) / material identification / pyroelectric effect / tactile sensor

References

[1] H. F. Geng, K. Zeng, B. Q. Wang, et al., “Giant Electric Field-Induced Strain in Lead-Free Piezoceramics,” Science 378, no. 6624 (2022): 1125–1130.

[2] F. Hussain, S. G. Abbas, G. A. Shah, et al., “A Framework for Malicious Traffic Detection in IoT Healthcare Environment,” Sensors 21, no. 9 (2021): 19.

[3] R. Krishnamurthy and J. Cecil, “A Next-Generation IoT-Based Collaborative Framework for Electronics Assembly,” International Journal of Advanced Manufacturing Technology 96, no. 1–4 (2018): 39–52.

[4] J. Mocnej, W. K. G. Seah, A. Pekar, and I. Zolotova, “Decentralised IoT Architecture for Efficient Resources Utilisation,” in 15th IFAC/IEEE Conference on Programmable Devices and Embedded Systems (PDeS) (New York: IEEE, 2018), 168–173.

[5] G. Skulj, A. Sluga, D. Bracun, P. Butala, and R. Vrabič, “Energy Efficient Communication Based on Self-Organisation of IoT Devices for Material Flow Tracking,” Cirp Annals-Manufacturing Technology 68, no. 1 (2019): 495–498.

[6] A. S. Ibrahim, K. Y. Youssef, H. Kamel, and M. Abouelatta, “Traffic Modelling of Smart City Internet of Things Architecture,” IET Communications 14, no. 8 (2020): 1275–1284.

[7] S. Bharati and P. Podder, “Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions,” Security and Communication Networks 2022 (2022): 41.

[8] E. Baldini, S. Chessa, and A. Brogi, “Estimating the Environmental Impact of Green IoT Deployments,” Sensors 23, no. 3 (2023): 1537.

[9] M. S Al-Kahtani, F. Khan, and W. Taekeun, “Application of Internet of Things and Sensors in Healthcare,” Sensors 22, no. 15 (2022): 5738.

[10] N. Bandari, J. Dargahi, and M. Packirisamy, “Tactile Sensors for Minimally Invasive Surgery: A Review of the State-of-the-Art, Applications, and Perspectives,” IEEE Access 8 (2020): 7682–7708.

[11] J. Park, M. Kim, Y. Lee, H. S. Lee, and H. Ko, “Fingertip Skin-Inspired Microstructured Ferroelectric Skins Discriminate Static/Dynamic Pressure and Temperature Stimuli,” Science Advances 1, no. 9 (2015): e1500661.

[12] J. H. Ruan, H. Jiang, C. S. Zhu, et al., “Agriculture IoT: Emerging Trends, Cooperation Networks, and Outlook,” IEEE Wireless Communications 26, no. 6 (2019): 56–63.

[13] Q. R. Zhang, J. J. Zuo, T. Z. Yu, and Y. Wang, “Visual Recognition System of Cherry Picking Robot Based on Lab Color Model,” in 1st International Global on Renewable Energy and Development (IGRED) (Bristol, UK: IOP Publishing, 2017), 100.

[14] Z. Sun, M. Zhu, X. Shan, and C. Lee, “Augmented Tactile-Perception and Haptic-Feedback Rings as Human-Machine Interfaces Aiming for Immersive Interactions,” Nature Communications 13, no. 1 (2022): 5224.

[15] H. C. Liu, W. Dong, Y. F. Li, et al., “An Epidermal sEMG Tattoo-Like Patch as a New Human-Machine Interface for Patients With Loss of Voice,” Microsystems & Nanoengineering 6, no. 1 (2020): 16.

[16] X. C. Qu, Z. Liu, P. C. Tan, et al., “Artificial Tactile Perception Smart Finger for Material Identification Based on Triboelectric Sensing,” Science Advances 8, no. 31 (2022): eabq2521.

[17] T. Zhang, Z. Ren, S. Guo, G. Zhang, S. Wang, and S. Qiao, “Broadband Self-Powered CdS ETL-Based MAPbI3 Heterojunction Photodetector Induced by a Photovoltaic-Pyroelectric-Thermoelectric Effect,” ACS Applied Materials & Interfaces 15, no. 37 (2023): 44444–44455.

[18] D. Zhang, H. T. Wu, C. R. Bowen, and Y. Yang, “Recent Advances in Pyroelectric Materials and Applications,” Small 17, no. 51 (2021): e2103960.

[19] K. Song, N. Ma, Y. K. Mishra, R. Adelung, and Y. Yang, “Achieving Light-Induced Ultrahigh Pyroelectric Charge Density Toward Self-Powered UV Light Detection,” Advanced Electronic Materials 5, no. 1 (2019): 1800413.

[20] K. Song, N. Ma, and Y. Yang, “Enhanced Self-Powered UV Photoresponse of Ferroelectric PZT Materials by Pyroelectric Effect,” Advanced Materials Technologies 2, no. 12 (2017): 1700221.

[21] M. Wang, Q. Feng, C. Y. Luo, et al., “Ultrahigh Energy Storage Density and Efficiency in Bi_0.5Na_0.5TiO₃-Based Ceramics via the Domain and Bandgap Engineering,” ACS Applied Materials & Interfaces 13, no. 43 (2021): 51218–51229.

[22] P. Peng, H. C. Nie, Z. Liu, F. Cao, G. Wang, and X. Dong, “Enhanced Pyroelectric Properties in (Bi_0.5Na_0.5)TiO₃-BiAlO₃-NaNbO₃ Ternary System Lead-Free Ceramics,” Journal of the American Ceramic Society 101, no. 9 (2018): 4044–4052.

[23] H. Y. He, X. Lu, E. Hanc, C. Chen, H. Zhang, and L. Lu, “Advances in Lead-Free Pyroelectric Materials: A Comprehensive Review,” Journal of Materials Chemistry C 8, no. 5 (2020): 1494–1516.

[24] Y. X. Liu, W. B. Qu, H. C. Thong, et al., “Isolated-Oxygen-Vacancy Hardening in Lead-Free Piezoelectrics,” Advanced Materials 34, no. 29 (2022): e2202558.

[25] M. H. Zhang, C. Shen, C. H. Zhao, et al., “Deciphering the Phase Transition-Induced Ultrahigh Piezoresponse in (K, Na)NbO₃-Based Piezoceramics,” Nature Communications 13, no. 1 (2022): 3434.

[26] J. Qi, N. Ma, and Y. Yang, “Photovoltaic-Pyroelectric Coupled Effect Based Nanogenerators for Self-Powered Photodetector System,” Advanced Materials Interfaces 5, no. 3 (2018): 1701189.

[27] D. Li, D. Zhou, W. Y. Liu, et al., “Enhanced Energy Storage Properties Achieved in Na_0.5Bi_0.5TiO₃-Based Ceramics via Composition Design and Domain Engineering,” Chemical Engineering Journal 419 (2021): 129601.

[28] N. Ma and Y. Yang, “Enhanced Self-Powered UV Photoresponse of Ferroelectric BaTiO₃ Materials by Pyroelectric Effect,” Nano Energy 40 (2017): 352–359.

[29] K. W. Zhang, Y. H. Wang, Z. L. Wang, and Y. Yang, “Standard and Figure-of-Merit for Quantifying the Performance of Pyroelectricnanogenerators,” Nano Energy 55 (2019): 534–540.

[30] Y. Liu, Y. Ji, Y. Xia, L. Wu, C. R. Bowen, and Y. Yang, “Enhanced Photocurrent in Ferroelectric Bi_0.5Na_0.5TiO₃ Materials via Ferro-Pyro-Phototronic Effect,” Nano Energy 98 (2022): 107312.

[31] Y. Ji, K. W. Zhang, Z. L. Wang, and Y. Yang, “Piezo-Pyro-Photoelectric Effects Induced Coupling Enhancement of Charge Quantity in BaTiO₃ Materials for Simultaneously Scavenging Light and Vibration Energies,” Energy & Environmental Science 12, no. 4 (2019): 1231–1240.

[32] R. R. Kang, Z. P. Wang, W. J. Yang, et al., “Enhanced Energy Storage Performance in Sr_0.7La_0.2Zr_0.15Ti_0.85O₃-Modified Bi_0.5Na_0.5TiO₃ Ceramics via Constructing Local Phase Coexistence,” Chemical Engineering Journal 446 (2022): 137105.

[33] J. Qian, G. H. Li, K. Zhu, et al., “High Energy Storage Performance and Large Electrocaloric Response in Bi_0.5Na_0.5TiO₃-Ba(Zr_0.2Ti_0.8)O₃ Thin Films,” ACS Applied Materials & Interfaces 14, no. 48 (2022): 54012–54020.

[34] T. Jin, Z. D. Sun, L. Li, et al., “Triboelectric Nanogenerator Sensors for Soft Robotics Aiming at Digital Twin Applications,” Nature Communications 11, no. 1 (2020): 5381.

[35] M. L. Zhu, T. Y. Y. He, and C. K. Lee, “Technologies Toward Next Generation Human Machine Interfaces: From Machine Learning Enhanced Tactile Sensing to Neuromorphic Sensory Systems,” Applied Physics Reviews 7, no. 3 (2020): 031305.

RIGHTS & PERMISSIONS

2024 The Author(s). SusMat published by Sichuan University and John Wiley & Sons Australia, Ltd.