Hong Hu

Dr. Hong Hu


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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6 January 2021 in Advanced Science
Verified
Journal Article
Open access
PDF file
WLWeikang Lin
Weikang Lin
Biao WangBiao Wang
Biao Wang
GPGuoxiang Peng
Guoxiang Peng
YSYao Shan
Yao Shan
HHHong Hu
Hong Hu
ZYZhengbao Yang
Zhengbao Yang
Real‐time detection and differentiation of diverse external stimuli with one tactile senor remains a huge challenge and largely restricts the development of electronic skins. Although different sensors have been described based on piezoresistivity, capacitance, and triboelectricity, and these devices are promising for tactile systems, there are few, if any, piezoelectric sensors to be able to distinguish diverse stimuli in real time. Here, a human skin‐inspired piezoelectric tactile sensor array constructed with a multilayer structure and row+column electrodes is reported. Integrated with a signal processor and a logical algorithm, the tactile sensor array achieves to sense and distinguish the magnitude, positions, and modes of diverse external stimuli, including gentle slipping, touching, and bending, in real time. Besides, the unique design overcomes the crosstalk issues existing in other sensors. Pressure sensing and bending sensing tests show that the proposed tactile sensor array possesses the characteristics of high sensitivity (7.7 mV kPa−1), long‐term durability (80 000 cycles), and rapid response time (10 ms) (less than human skin). The tactile sensor array also shows a superior scalability and ease of massive fabrication. Its ability of real‐time detection and differentiation of diverse stimuli for health monitoring, detection of animal movements, and robots is demonstrated.

1 November 2020 in Biomicrofluidics
Verified
Journal Article
Closed access
PDF file
YLYulin Lei
Yulin Lei
HHHong Hu
Hong Hu
The introduction of surface acoustic wave (SAW) technology on microfluidics has shown its powerfully controlling and actuating fluid and particle capability in a micro-nano scale, such as fluid mixing, fluid translation, microfluidic pumping, microfluidic rotational motor, microfluidic atomization, particle or cell concentration, droplet or cell sorting, reorientation of nano-objects, focusing and separation of particles, and droplet jetting. The SAW-driven droplet jetting technology enjoys the advantages of simple structure to fabricate with little hindrance, compact size to integrate with other components, high biocompatibility with biological cells or other molecule samples, large force in realizing fast fluidic actuation, and contact-free manipulation with fluid. The realization of this technology can effectively overcome some bottleneck problems in the current micro-injection technology, such as mechanical swear, complicated and bulky structure, and strict limitation of requirements on fluidic characteristics. This article reviews and reorganizes SAW-microfluidic jetting technology from decades of years, referring to the interaction mechanism theory of SAW and fluid, experimental methods of SAW-microfluidic jetting, effects of related parameters on objected pinch-off droplets, and applications of individual structures. Finally, we made a summary of the research results of the current literature and look forward and appraise where this discipline of SAW-microfluidic jetting could go in the future.

1 August 2021 in Sensors and Actuators A: Physical
Verified
Journal Article
Closed access
JHJun Long Han
Jun Long Han
HHHong Hu
Hong Hu
QHQing Yun Huang
Qing Yun Huang
YLYu Lin Lei
Yu Lin Lei

25 June 2013 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
ZZZhenjiu Zhang
Zhenjiu Zhang
HHHong Hu
Hong Hu

31 July 2023 in Micromachines
Verified
Journal Article
Open access
PDF file
JNJIA NING
JIA NING
YLYulin Lei
Yulin Lei
HHHong Hu
Hong Hu
CGChenhui Gai
Chenhui Gai
This review focuses on the development of surface acoustic wave-enabled acoustic drop ejection (SAW-ADE) technology, which utilizes surface acoustic waves to eject droplets from liquids without touching the sample. The technology offers advantages such as high throughput, high precision, non-contact, and integration with automated systems while saving samples and reagents. The article first provides an overview of the SAW-ADE technology, including its basic theory, simulation verification, and comparison with other types of acoustic drop ejection technology. The influencing factors of SAW-ADE technology are classified into four categories: fluid properties, device configuration, presence of channels or chambers, and driving signals. The influencing factors discussed in detail from various aspects, such as the volume, viscosity, and surface tension of the liquid; the type of substrate material, interdigital transducers, and the driving waveform; sessile droplets and fluid in channels/chambers; and the power, frequency, and modulation of the input signal. The ejection performance of droplets is influenced by various factors, and their optimization can be achieved by taking into account all of the above factors and designing appropriate configurations. Additionally, the article briefly introduces the application scenarios of SAW-ADE technology in bioprinters and chemical analyses and provides prospects for future development. The article contributes to the field of microfluidics and lab-on-a-chip technology and may help researchers to design and optimize SAW-ADE systems for specific applications.

10 November 2020 in IEEE Access
Verified
Journal Article
Open access
JCJian Chen
Jian Chen
GPGuoxiang Peng
Guoxiang Peng
HHHong Hu
Hong Hu
JNJia Ning
Jia Ning
In the application of piezoelectric jet dispensing, piezoelectric ceramics and flexure hinges cooperate to form a piezoelectric actuator. The dispensing quality of the piezoelectric jet is closely associated with the output force of the piezoelectric actuator. In this study, a corresponding piezoelectric actuator output force experiment platform is built, and the voltage-force hysteresis curve of the piezoelectric actuator is analyzed. The voltage-force hysteresis curve exhibits memory characteristics and rate dependence. A modeling method for the dynamic hysteresis output force model is proposed, and the numerical method of the model is presented. The corresponding output force model of the piezoelectric actuator is established based on experimental data to predict the output force under different input voltages. According to the dynamic hysteresis model, the feedforward control methodology of the dynamic hysteresis inverse model is proposed, and experimental tests are performed. Experimental results show that the proposed model can express the complex nonlinear characteristics of piezoelectric actuators, and the output force feedforward control method based on the dynamic hysteresis inverse model effectively decreases the nonlinear characteristics of the piezoelectric actuator.