Chenlin Zhang

Dr. Chenlin Zhang


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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26 July 2019 in Micromachines
Verified
Journal Article
Open access
PDF file
CZChenlin Zhang
Chenlin Zhang
BXBing-Jie Xu
Bing-Jie Xu
CGChaoyang Gong
Chaoyang Gong
JLJingtang Luo
Jingtang Luo
QZQuanming Zhang
Quanming Zhang
YGYuan Gong
Yuan Gong
Optofluidics is an exciting new area of study resulting from the fusion of microfluidics and photonics. It broadens the application and extends the functionality of microfluidics and has been extensively investigated in biocontrol, molecular diagnosis, material synthesis, and drug delivery. When light interacts with a microfluidic system, optical force and/or photothermal effects may occur due to the strong interaction between light and liquid. Such opto-physical effects can be used for optical manipulation and sensing due to their unique advantages over conventional microfluidics and photonics, including their simple fabrication process, flexible manipulation capability, compact configuration, and low cost. In this review, we summarize the latest progress in fiber optofluidic (FOF) technology based on optical force and photothermal effects in manipulation and sensing applications. Optical force can be used for optofluidic manipulation and sensing in two categories: stable single optical traps and stable combined optical traps. The photothermal effect can be applied to optofluidics based on two major structures: optical microfibers and optical fiber tips. The advantages and disadvantages of each FOF technology are also discussed.

23 March 2018 in Journal of Lightwave Technology
Verified
Journal Article
Closed access
CZChenlin Zhang
Chenlin Zhang
YWYan-Qiong Wang
Yan-Qiong Wang
YGYuan Gong
Yuan Gong
YWYu Wu
Yu Wu
Gang Ding PengGang Ding Peng
Gang Ding Peng
YRYunjiang Rao
Yunjiang Rao
Microbubbles have broad applications for optofluidic devices, optical manipulation, and sensing. Here we report a series of experimental observations, demonstrating the controllable generation and assembly of microbubbles by using an optical fiber-coupled laser. The microbubbles can be photothermally generated with high efficiency in deionized water, without adding light-absorbing nanomaterials. The temporal evolution and assembled pattern, quantified by diameter, number and density of the microbubbles, can be flexibly controlled by the surface area of liquid, the insertion depth of fiber, and the laser power for heating. Good repeatability is confirmed for the microbubble generation. This kind of microbubble may have the potential for sensing, microstructure formation, etc.

11 October 2022 in Sensors
Verified
Journal Article
Open access
PDF file
CZChenlin Zhang
Chenlin Zhang
PWPan Wang
Pan Wang
With the development of information transmission, there is an increasing demand for state monitoring of fiber-optic communication networks to improve the security and self-healing ability of the network. Distributed optical fiber sensing is one of the most attractive methods because it can achieve real-time detection of the whole network without additional sensing heads. However, when the sensing network is introduced into the communication network, the failure probability should be efficiently suppressed with limited sensing resources. In this paper, the fuzzy logic system is used to evaluate the impact of different sensing resource allocation on optical cable network quality. The link failure probability and path failure probability under the condition of uniform and non-uniform sensing resource allocation are simulated and analyzed, respectively. As shown in the analysis results, the failure probability under non-uniform allocation is significantly lower than under uniform allocation. In this paper, we discussed and addressed the allocation of the optical fiber sensing and communication integrated (OFSCI) network with the limited sensing resource for the first time. The results are helpful to develop an allocation strategy for optical fiber sensing and a communication integrated network with a higher robustness.