An intelligent dual-sensing e-skin system for pressure and temperature detection using laser-induced graphene and polydimethylsiloxane

• Published in: Materials & design Vol. 238; p. 112640
• Main Authors: Guo, Jingjing, Liu, Xueqian, Sun, Zhongsen, Zheng, Xuqi, Sung, Ho-Kun, Yao, Zhao, Li, Yang, Li, Yuanyue
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2024; Elsevier
• Subjects: Dual sensing; E-skin; Long Short-Term Memory; Pressure and temperature signals; Single path; Dual sensing; Single path; E-skin; Long Short-Term Memory; Pressure and temperature signals
• ISSN: 0264-1275; 1873-4197
• DOI: 10.1016/j.matdes.2024.112640

[Display omitted] •A single-path and dual-sensing e-skin was developed utilizing laser-induced graphene (LIG) and polydimethylsiloxane.•The porous structure of the LIG contributes to the excellent pressure and temperature sensing performance of the e-skin.•An intelligent e-skin system enables real-time multi-modal sensing and decoupling of mixed pressure & temperature signals. Motivated by artificial intelligence, we present a novel electronic skin (e-skin) system capable of dual-sensing pressure and temperature signals. Our approach utilizes laser-induced graphene and polydimethylsiloxane, offering a simple yet efficient method for e-skin preparation. Experimental results reveal exceptional performance with good pressure sensitivity (0.037 kPa−1 at 0–50 kPa), a wide detection range (0–220 kPa), a fast response time of 56 ms, an ultra-low detection limit (30 Pa), and excellent stability (8000 cycles). Additionally, the e-skin exhibits positive temperature coefficients (0.0025 ℃-1) within 20–100 ℃, a rapid response time of 2.57 s, an extremely low detection limit (1 ℃), and stability after 50 cycles. Crucially, our intelligent e-skin system, employing a Long Short-Term Memory algorithm, enables real-time multi-modal tactile perception, accurately separating mixed pressure and temperature signals. This versatile technology holds immense potential for applications in intelligent robotics and human health monitoring.