Qin Zhang

Dr. Qin Zhang


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 April 2024 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
YPYan Peng
Yan Peng
HLHeming Liu
Heming Liu
Hengyu GuoHengyu Guo
Hengyu Guo
YGYing GONG
Ying GONG
FSFan Shen
Fan Shen
ZLZhongjie Li
Zhongjie Li
In recent years, triboelectric nanogenerators (TENGs) have attracted increasing attention in sensing applications. Numerous studies have confirmed that TENG can be used as a sensor to monitor various environmental parameters. However, these works often concentrate solely on a single parameter. Here, we report a highly sensitive multiparameter triboelectric wave sensor (MTWS), comprising a sliding-mode TENG incorporated into flexible magnet layers, a foam ball buoy, and a connecting bar constrained within a linear bearing. A theoretical model, coupled with magnetic prestress, is formulated to predict the electro-mechano behavior of the sensor in response to actual test waves. The experimental results indicate that external magnetic prestress enhances sensor sensitivity, and the predicted wave height aligns well with the commercial sensor results. Based on the proficient energy transmutation advantage of sliding-mode TENG, a remarkable sensitivity of 33.627 μ A/(m/s) and a minimal resolution of 0.00137 m/s are reached in wave velocity monitoring. Importantly, the MTWS shows the ability to monitor wave height, wave speed, and wave period simultaneously. Our research establishes the substantial potential of MTWS as a multifaceted wave-sensing apparatus, rendering it highly adaptable for integration within marine wave surveillance systems.

16 August 2022 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
BGBaosu Guo
Baosu Guo
QZQin Zhang
Qin Zhang
Qingjin PengQingjin Peng
Qingjin Peng
JZJichao Zhuang
Jichao Zhuang
FWFenghe Wu
Fenghe Wu
Quan ZhangQuan Zhang
Quan Zhang

6 April 2025 in Nano Energy
Verified
Journal Article
Closed access
QZQin Zhang
Qin Zhang
ZLZhongjie Li
Zhongjie Li
LLLong Li
Long Li
TJTao Jin
Tao Jin
QZQiwei Zheng
Qiwei Zheng
CLChengkuo Lee
Chengkuo Lee

15 May 2025 in Actuators
Verified
Journal Article
Open access
PDF file
QZQin Zhang
Qin Zhang
LXLiang Xu
Liang Xu
HCHao Chen
Hao Chen
LZLi Zhou
Li Zhou
LHLiwu Huang
Liwu Huang
SYSicheng Yi
Sicheng Yi
Due to their high energy density and favorable load-to-weight ratio, shape-memory alloy (SMA) materials are ideal actuation sources for soft robots. However, the relatively long cooling time of SMA wires in soft bodies limits their response speed. In this study, we designed and fabricated a novel SMA artificial muscle. When active heat absorption was enabled through thermoelectric modules and the evaporation/dehydration effects of hydrogels, the cooling rate of the SMA wires increased significantly. Simulation and experimental results demonstrate that with the proposed heat-dissipation scheme, the cooling speed of the SMA wires improved notably, with a temperature drop of 9.6 °C within 4 s. Additionally, the designed agar/polyacrylamide hydrogel, which has a porous skeleton structure, achieved a water-absorption expansion rate that was 600% of the previous value. When a PVC elastic substrate was used, the bending angle of the SMA artificial muscle reached 71°, with minimal bending attenuation after 45 consecutive cyclic tests. A soft gripper composed of the novel SMA artificial muscles was capable of manipulating objects of various shapes. Overall, the combination of active and passive heat-dissipation strategies enabled the SMA artificial muscle to achieve excellent durability, rapid heat dissipation, and strong versatility, demonstrating its significant potential for various applications.

17 September 2025 in IEEE Internet of Things Journal
Verified
Journal Article
Closed access
QZQin Zhang
Qin Zhang
FSFan Shen
Fan Shen
Quan ZhangQuan Zhang
Quan Zhang
YPYan Peng
Yan Peng
ZLZhongjie Li
Zhongjie Li
The existing human–computer interaction often presents problems such as bulky components, simple interaction methods, and poor universality. Here, we proposed a flexible electronic tattoo keyboard (FETK) system based on an electronic tattoo triboelectric nanogenerator (ET-TENG), which consists of an improved thermoplastic polyurethane (i-TPU) and conductive silver paste. The i-TPU is fabricated by adding tributyl citrate (TBC) and calcium carbonate (CaCO3) powder to TPUs to improve its flexibility and wear resistance. Considering the portability in practical use, we have designed a signal acquisition circuit and several postprocessing programs to obtain and identify signals from human finger touch accurately and stably. Furthermore, we proposed a dual-mode/multichannel strategy to increase the number of channels and achieve one-to-one triggering of commonly used keyboard keys. Finally, we demonstrated the interactive process of using it as a keyboard to control computer output. It is worth mentioning that the FETK system we prepared can be used as a universal keyboard for plug-and-play portable use.