Article
Mechanics
Shuren Song, Jia Zhou, Antonino Marciano, Antoine Riaud
Summary: This paper proposes a method of using acoustic streaming to link hydrodynamic filaments in fluids and demonstrates its effectiveness through experiments. The study shows that the inversion of flow chirality can be observed by increasing the topological charge of an acoustic screw dislocation.
Article
Mechanics
Yafeng Yang, Yiping Wang, Linli Tian, Chuqi Su, Zhixin Chen, Yuanyi Huang
Summary: The study used computational fluid dynamics to predict the dispersion path and deposition distribution of droplets in an air-conditioned bus, and evaluated the effectiveness of a purifier in removing droplets and reducing the risk of passenger infection.
Article
Chemistry, Analytical
Tao Peng, Luming Li, Mingyong Zhou, Fengze Jiang
Summary: Acoustic manipulation of microparticles and cells has attracted interest in biomedical applications. In this study, we demonstrated the concentration of microparticles and tumor cells using flexural waves. Numerical simulation was used to predict the acoustic pressure and flow patterns, providing insight into the underlying physical mechanisms of particle motion.
Article
Engineering, Multidisciplinary
Sadaf Maramizonouz, Mohammad Rahmati, Andreas Link, Thomas Franke, Yongqing Fu
Summary: Exploring acoustic streaming effects for microfluidic devices is crucial in various fields like biomedical engineering, medical diagnostics, cell studies, and chemistry. Computational modeling is essential to understand and efficiently use acoustofluidic systems, with this paper focusing on investigating the effects of surface acoustic waves in a microchannel flow using two computational approaches. Results show that the first approach is more accurate in predicting the dynamic behavior of microparticles, while the second approach is more computationally efficient and still yields reasonable agreement with experiments.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2021)
Review
Environmental Sciences
Yanhong Zhu, Ishaq Dimeji Sulaymon, Xiaodong Xie, Jianjiong Mao, Song Guo, Min Hu, Jianlin Hu
Summary: Particle number concentration (PNC) is an important parameter for evaluating the environmental health and climate effects of particulate matter (PM). This study reviewed PNC levels, trends, and sources in China and found significant spatial heterogeneity in PNC distribution. Traffic emissions were the major source of PNC in selected cities worldwide.
ENVIRONMENTAL POLLUTION
(2022)
Article
Mechanics
Avshalom Offner, Jacques Vanneste
Summary: We propose a model for the dynamics of respiratory droplets and investigate their airborne lifetime in turbulent air typical of indoor environments. The droplet lifetime is an important metric for assessing the risk of respiratory transmission of infectious diseases. By considering a simple momentum balance and accounting for the evaporation of droplets, we show that an increase in relative humidity leads to higher settling velocity and shorter droplet lifetime, potentially reducing the transmission risk. Using a stochastic process to emulate indoor air turbulence, we numerically calculate probability distributions for droplet lifetime and find that increased turbulent velocity significantly extends the range of lifetimes, including non-negligible probabilities for very long lifetimes that may heighten the transmission risk.
Article
Mechanics
Rodrigo C. V. Coelho, Danilo P. F. Silva, Antonio M. R. Maschio, Margarida Telo M. da Gama, Nuno A. M. Araujo
Summary: This article investigates the flow of deformable particles, such as droplets, through a network of narrow pores in rocks or porous media. It shows that when multiple droplets are trapped, the fluid flow is significantly affected, leading to an increase in pressure difference across the pore channels and the squeezing of particles through the channels. The study analyzes the conditions for single droplet flow and derives a rule for the collective flow of droplets in porous media.
Review
Computer Science, Interdisciplinary Applications
Jana Wedel, Paul Steinmann, Mitja Strakl, Matjaz Hribersek, Jure Ravnik
Summary: This study focuses on the transport and deposition of droplets and aerosols in the human airways, aiming to assess the risk of inhaling infectious pathogens during various levels of cardiovascular activity. Different exercise levels increase the risk of developing severe cases of COVID-19 due to increased aerosolized volume reaching into the lower airways.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Qing Guo, Mengchuan Shao, Xiao Su, Xingguo Zhang, Haixia Yu, Dachao Li
Summary: Acoustic droplet ejection (APE) technology has revolutionized fluid handling, but the current power control method has limitations. A new method is proposed in this research, which analyzes the effect of kinematic viscosity and surface tension of reagents for precise droplet ejection. Experimental results demonstrate the effectiveness of this method, providing an advanced liquid handling solution for research in biochemistry.
Article
Chemistry, Multidisciplinary
Krishnadas Narayanan Nampoothiri, Niladri Sekhar Satpathi, Ashis Kumar Sen
Summary: This study investigates the characteristics of micron-sized droplets generated and transferred using surface acoustic waves (SAW), and the influence of substrate wettability on the droplet properties. A theoretical model is developed to predict the droplet size on different wettable substrates. The effects of contact angle on droplet polydispersity and number density are explained by considering droplet coalescence and bouncing.
Article
Chemistry, Physical
Omkar Hegde, Saptarshi Basu
Summary: Functional sessile droplets containing buoyant colloids can form self-assembled aggregates in the center due to finite radius of curvature and buoyant nature of particles. The graded size distribution of the central aggregate can be used to segregate polydisperse hollow spheres based on size. Vapor mediated Marangoni convection can efficiently manipulate suspended micro-objects by transforming flow inside the droplet and disbanding agglomeration at the center.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2021)
Article
Materials Science, Multidisciplinary
Caleb H. Meredith, Alexander C. Castonguay, Yu-Jen Chiu, Allan M. Brooks, Pepijn G. Moerman, Peter Torab, Pak Kin Wong, Ayusman Sen, Darrell Velegol, Lauren D. Zarzar
Summary: In this study, the chemomechanical framework underlying the self-propulsion of biphasic Janus oil droplets solubilizing in aqueous surfactant is uncovered. The influence of oil mixing, droplet shape, and oil solubilization rates on droplet propulsion is elucidated. Spatiotemporal control over droplet swimming speed and orientation is demonstrated through the application of thermal gradients.
Article
Physics, Applied
B. W. Zhang, Z. Y. Hong, B. W. Drinkwater
Summary: Vortex-field acoustic levitation is a technique that uses acoustic vortices to manipulate objects in air. By optimizing the setup, it is possible to levitate high-density objects and achieve rapid rotation. The dominant factor causing the rapid rotation of high-density objects is the dissipation of the thermal-viscous boundary layer.
PHYSICAL REVIEW APPLIED
(2022)
Article
Engineering, Chemical
M. Grella, J. Maffia, E. Dinuccio, P. Balsari, A. Miranda-Fuentes, P. Marucco, F. Gioelli
Summary: A method to improve the measurement of <10 μm-sized droplets during crop spray applications was described. Results showed significant increases in particle mass and number using the proposed method compared to the background level. This study verified the potential to use OPCs to assess drift and understand particle size variation and dynamics during drift events.
JOURNAL OF AEROSOL SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
A. Nath, A. Sudeepthi, A. K. Sen
Summary: In this study, we investigate the trapping of aqueous droplets in oil-filled microwells using surface acoustic waves. We find that the combined effect of acoustic radiation and hydrodynamic forces leads to droplet migration and trapping, and we elucidate the mechanism of these forces using a theoretical model.
Article
Nanoscience & Nanotechnology
Xingru Chen, Yongkai Li, Xiaoyi Wang, Hongyu Yu
Summary: This study proposes a novel flexible and stretchable paper-based origami humidity sensor (POHS) that integrates origami folding structures with a paper substrate. The sensor exhibits high sensitivity, good response and recovery properties, and excellent stability during deformation. It has the potential for applications in wearable devices for monitoring respiration rate and diaper wetting detection.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Chemistry, Analytical
Yik-Kin Cheung, Hongyu Yu
Summary: This paper presents the principle, design, fabrication, and characterization of a Molecular Electronic Transducer (MET) dual-axis tilt sensor. The proposed sensor, with 3D-printed cylindrical channel, four double-band electrodes, and liquid electrolyte, shows good sensitivity and repeatability.
Article
Chemistry, Multidisciplinary
Xingzhong Zhang, Yue Hou, Yang Yang, Ziyu Wang, Xiaosa Liang, Qingqing He, Yufeng Xu, Xiaolong Sun, Hongyu Ma, Jing Liang, Yong Liu, Wei Wu, Hongyu Yu, Haizhong Guo, Rui Xiong
Summary: In this study, a high-performance paper-based TE device was fabricated using simple screen-printing technology, which can be used for power generation and display. The findings offer potential applications in energy harvesting devices, optical encryption, anti-counterfeiting, and dynamic infrared display.
ADVANCED MATERIALS
(2023)
Article
Engineering, Electrical & Electronic
Xiaoyi Wang, Yang Deng, Peng Jiang, Yik Kin Cheung, Zhongyi Liu, Huikai Xie, Hongyu Yu
Summary: In recent years, high-performance flexible pressure sensors have gained popularity and research attention due to their wide applications in various fields. However, it is challenging to achieve low cost and excellent performance simultaneously in flexible sensors.
IEEE SENSORS JOURNAL
(2023)
Article
Robotics
Chao Zhao, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
Summary: Inspired by human learning process, this study proposes a method to extract and exploit latent intents from demonstrations, and learn diverse and robust grasping policies through self-exploration. The learned policy demonstrates remarkable zero-shot generalization from simulation to the real world while retaining its robustness against novel objects and cluttered environments.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Chemistry, Multidisciplinary
Chohei Pang, Jae-Kang Kim, Yingdan Wu, Michael Yu, Hongyu Yu, Metin Sitti
Summary: This study presents an elastomeric microstructure that overcomes the trade-off between adhesive strength and trigger force. The optimal design exhibits strong adhesive strength and negligible detachment strength, even in wet conditions. Manipulation tasks of fragile and tiny parts as well as transfer across water and air interfaces are successfully demonstrated.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Engineering, Chemical
Steven C. Hill, David C. Doughty, Daniel W. Mackowski, Vipin Rastogi, Jay D. Eversole, Dan McGrady, Frank Handler, Jana Kesavan
Summary: Research shows that the survival rate of microbes under ultraviolet radiation is related to the size of clusters, with larger clusters providing stronger protection against UV rays. This study provides valuable evidence for considering the particle size of microbes when modeling, designing, and using UV systems to eliminate the spread of infectious diseases.
AEROSOL SCIENCE AND TECHNOLOGY
(2023)
Article
Robotics
Chao Zhao, Shuai Yuan, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
Summary: This letter presents ERRA, an embodied learning architecture that enables robots to jointly acquire reasoning, planning, and interaction abilities for solving long-horizon language-conditioned manipulation tasks. ERRA integrates coarse-resolution inference using a large language model to infer action language from natural language instruction and environment state, and fine-resolution inference using a Markov decision process to perform concrete actions based on action language. The robot decomposes and accomplishes long-horizon tasks interactively through the coarse-to-fine inference. Extensive experiments demonstrate that ERRA can successfully complete various long-horizon manipulation tasks specified by abstract language instructions and generalize to novel but similar natural language instructions.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Nan Nathan Xu, Yiqi An, Hongyu Yu, Jinglei Yang
Summary: This letter examines the performance of on-silicon inductor coils with integrated buck dc-dc converters made using a 180 nm CMOS process. A parallel shunting structure with different metal layers was chosen for its lower resistance and higher inductance in low-power IoT scenarios. Simulation results demonstrate stable values of more than 230 nH for the fabricated inductors within the expected frequency range. The proposed dc-dc converter achieves an efficiency of 69.1% at 30 MHz for a 12.9 mA load, operating at voltage levels of 2.4 to 1.2 V. Our approach enables high-inductance integration without the need for costly postprocessing techniques, expanding the application of power inductor and dc-dc converter integration.
IEEE SENSORS LETTERS
(2023)
Article
Spectroscopy
David C. Doughty, Robert E. Dumais, Tyler R. Richman, Steven C. Hill
Summary: This study used hyperspectral Raman imaging technology to measure ambient aerosol particles in the Jornada Experimental Range in New Mexico, and classified the spectra based on composition or spectral features. The results showed that hyperspectral Raman imaging can help understand the composition of ambient aerosol particles at different time scales.
JOURNAL OF RAMAN SPECTROSCOPY
(2023)
Review
Nanoscience & Nanotechnology
Liying Jiang, Xinyi Lin, Fenghua Chen, Xiaoyun Qin, Yanxia Yan, Linjiao Ren, Hongyu Yu, Lingqian Chang, Yang Wang
Summary: The use of biomarkers for early diagnosis and real-time monitoring of tumor cells is crucial due to increases in tumor morbidity and mortality rates. Circulating tumor cells, circulating tumor DNA, and exosomes have high potential for prediction, diagnosis, and prognosis of tumor diseases. Enzyme-linked immunosorbent assays, immunoblotting, and mass spectrometry are widely used techniques for detecting these markers. Electrochemical and fluorescence biosensors are preferred for detecting tumor cell markers in body fluids due to their high sensitivity, rapid detection, and portable operation.
MICROSYSTEMS & NANOENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Ruoqin Wang, Rui Jiao, Yiting Li, Yang Li, Yixin Wang, Qian Xu, Zhigang Li, Hongyu Yu
Summary: A novel design using Miura-ori microstructure has been presented to enhance the sensitivity of flexible pressure sensors. The sensor showed significant improvement in sensitivity compared to commonly used microstructures. It also exhibited good durability and rapid response time, making it suitable for monitoring human physiological signals.
IEEE SENSORS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Yixin Wang, Xingru Chen, Rui Jiao, Hongyu Yu
Summary: In this study, a novel microstructured capacitive pressure sensor is proposed, which combines photolithography techniques with advanced materials including vertically aligned multiwall carbon nanotubes (VA-MWCNTs) and ion gel. The introduction of micropyramidal electrodes and microhemispheric electrolyte with poly(vinyl alcohol)/phosphoric acid (H3PO4) ion gel greatly improves sensitivity (124.9 kPa(-1)) and response time (125 ms). Moreover, the use of VA-MWCNTs coated with parylene-C enhances the electrode's durability and ensures remarkable repeatability of the entire system under various pressure conditions. The excellent performance in both static and dynamic measurements positions this sensor as a promising candidate for health monitoring applications.
IEEE SENSORS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Yang Li, Jiacheng Jiang, Ruoqin Wang, Zanxiang Mao, Lin Fang, Yirui Qi, Junsheng Zhang, Chili Wu, Hongyu Yu
Summary: Most reported flexible smart gloves are complex in mass processing and have stability problems in the interface with the circuit, limiting their wide application. The communication latency caused by wireless transmission also restricts remote interaction, and improving signal transmission speed has limitations. In this letter, an integrated full print production flexible smart glove and a deep learning based motion intention prediction method were developed to overcome these shortcomings and reduce communication latency.
IEEE SENSORS LETTERS
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Rui Jiao, Gai Yang, Ruoqin Wang, Yue Tang, Zhongyi Liu, Huikai Xie, Hongyu Yu, Xiaoyi Wang
Summary: In this paper, a CMOS compatible micro-Pirani gauge was developed using a CMOS compatible fabrication process. The study revealed that a tiny fluid conduction gap can enhance sensitivity and improve the dynamic measurement range, especially in high-pressure regions. CFD simulation and experimental results confirmed the higher sensitivity and larger measurement range achieved by the T-type device compared to the L-type device, with good stability.
2023 IEEE 36TH INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS, MEMS
(2023)