Liwei Lin (Advisor)

Research Advised by Professor Liwei Lin

Lin Group:  List of Projects | List of Researchers

Programmable Tactile Feedback Patterns for Cognitive Assistance by Flexible Electret Actuators

Tao Jiang
Wenying Qiu
Zhaoyang Li
Xing Ye
Yuhan Liu
Yushi Li
Xiaohao Wang
Junwen Zhong
Xiang Qian
Liwei Lin
2021

Advanced tactile feedback systems are important tools in the field of human–machine interfaces. In this work, an airflow-assisted corona charging process is utilized to charge films made of electret material for the construction of a sandwich-structured flexible actuator system. With a voltage as low as 20 V, this flexible actuator can stimulate skin sensations for basic tactile feedback functions. Under a driving voltage of 200 V, the system can generate an output force of ≈55 mN, which is larger than that of the output force by cellphones under the vibration mode. Utilizing these...

Gold NanoParticle Based Plasmonic Sensing for the Detection of SARS-CoV-2 Nucleocapsid Proteins

Kamyar Behrouzi
Liwei Lin
2022

An inexpensive virus detection scheme with high sensitivity and specificity is desirable for broad applications such as the COVID-19 virus. In this article, we introduce the localized surface plasmon resonance (LSPR) principle on the aggregation of antigen-coated...

Deep Learning for Non-Parameterized MEMS Structural Design

Ruiqi Guo
Fanping Sui
Wei Yue
Sedat Pala
Kunying Li
Renxiao Xu
Liwei Lin
2022

The geometric designs of MEMS devices can profoundly impact their physical properties and eventual performances. However, it is challenging for researchers to rationally consider a large number of possible designs, as it would be very time- and resource-consuming to study all these cases using numerical simulation. In this paper, we report the use of deep learning techniques to accelerate the MEMS design cycle by quickly and accurately predicting the physical properties of numerous design candidates with vastly different geometric features. Design candidates are represented in a...

Mapping and Simultaneous Detection of Arterial and Venous Pulses using Large-Scale High-Density Flexible Piezoelectret Sensor Array

Liuyang Han
Wei Zeng
Ying Dong
Xiaohao Wang
Liwei Lin
2022

Flexible sensors with the capability of mapping and examining real-time physiological signals are essential in smart health monitoring systems. Here, high-density and large-scale flexible pressure sensor arrays with the piezoelectric-like dynamic output effects are presented for the mapping and detection of arterial and venous pulses simultaneously. A high equivalent d33 value of 5400 pC N-1 is characterized based on the crisscross groove structure of a single sensor unit with a high dynamic sensitivity of 15.22 nA kPa-...

An Improved Lumped Element Model for Circular-Shape pMUTs

Sedat Pala
Liwei Lin
2022

This paper presents an improved lumped element model for clamped, circular-shape, piezoelectric micromachined ultrasonic transducers (pMUTs). A small signal equivalent circuit is developed to include electrical, mechanical, and acoustic domains, which are analyzed separately and combined with the associated couplings. For the first time, a two-term mode shape approach is adapted to reveal intrinsic and extrinsic properties of a pMUT, such as equivalent circuit parameters, input impedance, velocity, displacement, bandwidth, quality factor, directivity, and the on-axis pressure in the...

A Moisture-Resistant Soft Actuator with Low Driving Voltages for Haptic Stimulations in Virtual Games

Wenying Qiu
Zhaoyang Li
Guocheng Wang
Yande Peng
Min Zhang
Xiaohao Wang
Junwen Zhong
Liwei Lin
2022

Strong and robust stimulations to human skins with low driving voltages under high moisture working conditions are desirable for wearable haptic feedback applications. Here, a soft actuator based on the “air bubble” electret structure is developed to work in high-moisture environments and produce haptic sensations to human skin with low driving voltages. Experimentally, the water soaking and drying process has been conducted repeatedly for the first time and the 20th time to test the antimoisture ability of the actuator as it recovers its output force up 90 and 65% of the initial...

Fanping Sui

Alumni
Mechanical Engineering
Professor Liwei Lin (Advisor)
Ph.D. 2022

Fanping Sui received his B.S. in Theoretical and Applied Mechanics from University of Science and Technology of China in 2018 (ranked 1st) and M.S. in Mechanical Engineering from University of California, Berkeley in 2019. He is currently pursuing Ph.D. in MEMS/Nano in Mechanical Engineering at UC Berkeley under the supervision of Professor Liwei Lin.

BPN855: Flexible Energy Harvester, Sensor, and Actuator

Yu Long
2022

Flexible, wearable, and implantable devices are expected to become more abundant due to developments in materials and microfabrication technologies. In our previous work, we have successfully achieved a kind of flexible actuators that can work at low voltage and give haptic feedback. Now we are moving forward to develop energy harvesters with various sets of flexible materials and structures that can 1) harvest energy from outside stable environment; 2) generate electricity in a relatively long time; and 3) give enough energy output to power up small devices.

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BPN877: Pulse Acquisition and Diagnosis for Health Monitoring

Ruiqi Guo
2022

Traditional Chinese medicine(TCM) has existed for more than two thousand years and one of the important diagnostic methods is the pulse diagnosis. It generally takes decades of training for a practitioner to master this skill as pulse acquisition and diagnosis require long-term experiences and are very subjective. The project aims to use the combination of advanced sensor technology and artificial intelligence to emulate the TCM practice for health monitoring. A flexible piezoelectric film is designed to record the wrist pulse data. A group of representative pulse features has been...

Yu Long

Alumni
Mechanical Engineering
Professor Liwei Lin (Advisor)
Ph.D. 2022

Yu received her B.E. in Material Science & Engineering from Tsinghua University in 2018. She is currently pursuing a Ph.D. in Mechanical Engineering under the supervision of Prof. Liwei Lin and is expected to graduate in 2022. Her research interest lies in polymers and their applications in energy harvesters.

Dissertation title: Renewable Polymeric Energy Harvesters from Moisture and Heat