Hsin-Yi Wen

Prof. Hsin-Yi Wen


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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12 August 2021 in Polymers
Verified
Journal Article
Open access
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HWHsin-Yi Wen
Hsin-Yi Wen
HHHsiang-Cheng Hsu
Hsiang-Cheng Hsu
YTYao-Tung Tsai
Yao-Tung Tsai
WFWen-Kai Feng
Wen-Kai Feng
CLChih-Lang Lin
Chih-Lang Lin
CCChia-Chin Chiang
Chia-Chin Chiang
The influence of the bending radius on the sensitivity of the graphene quantum dots (GQDs)-coated probe is experimentally investigated for a U-shaped probe. The fiber is bent into a U shape using the optic fiber flame heating method, and the optic fiber is enclosed in a glass tube to increase the stability of the probe. The surface of the U-shaped optical fiber was coated with electrospun fibers formed via electrospinning. Polymer materials doped with GQDs are applied to U-shaped optical fiber as humidity sensors. Graphene quantum dot nanofibers on the U-shaped optical fiber sensor to form a network structure of graphene quantum dots U-shape fiber sensor (GQDUS). The polymer network structure absorbs water molecules, which in turn affects the bending radius of the optical fiber, and changes the optical fiber spectrum. Graphene quantum dots provide optical enhancement benefits, which in turn increase the sensitivity of fiber optic sensors. The spectra monitoring system consists of an optical spectrum analyzer (OSA) and an amplified spontaneous emission (ASE). This system can be used to detect humidity changes between 20% RH and 80% RH in the chamber. Our results indicate promising applications for quantum dots probe sensors from electrospun nanofibers increasing sensitive environmental monitoring. As such, it could be of substantial value in optical sensors detection.

22 May 2022 in Polymers
Verified
Journal Article
Open access
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YCYen-Lung Chou
Yen-Lung Chou
HWHsin-Yi Wen
Hsin-Yi Wen
YWYu-Qiao Weng
Yu-Qiao Weng
YLYi-Ching Liu
Yi-Ching Liu
CWChao-Wei Wu
Chao-Wei Wu
CCChia-Chin Chiang
Chia-Chin Chiang
This study describes the fabrication of an electrospun, U-shaped optical fiber sensor for temperature measurements. The sensor is based on single mode fibers and was fabricated into a U-shaped optical fiber sensor through flame heating. This study applied electrospinning to coat PVA, a polymer, onto the sensor layer to reduce its sensitivity to humidity. The sensor is used to measure temperature variations ranging from 30 °C to 100 °C. The objectives of this study were to analyze the sensitivity variation of the sensor with different sensor layer thicknesses resulting from different electrospinning durations, as well as to simulate the wavelength signals generated at different electrospinning durations using COMSOL. The results revealed that the maximum wavelength sensitivity, transmission loss sensitivity, and linearity of the sensor were 25 dBm/°C, 70 pm/°C, and 0.956, respectively. Longer electrospinning durations resulted in thicker sensor layers and higher sensor sensitivity, that wavelength sensitivity of the sensor increased by 42%.

15 August 2021 in Membranes
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Journal Article
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Tzu-Sheng HuangTzu-Sheng Huang
Tzu-Sheng Huang
Tung-Li HsiehTung-Li Hsieh
Tung-Li Hsieh
CLChih-Ching Lai
Chih-Ching Lai
HWHsin-Yi Wen
Hsin-Yi Wen
Wen-Yao HuangWen-Yao Huang
Wen-Yao Huang
MCMei-Ying Chang
Mei-Ying Chang
Series of partially fluorinated sulfonated poly(arylene ether)s were synthesized through nucleophilic substitution polycondensation from three types of diols and superhydrophobic tetra-trifluoromethyl-substituted difluoro monomers with postsulfonation to obtain densely sulfonated ionomers. The membranes had similar ion exchange capacities of 2.92 ± 0.20 mmol g−1 and favorable mechanical properties (Young’s moduli of 1.60–1.83 GPa). The membranes exhibited considerable dimensional stability (43.1–122.3% change in area and 42.1–61.5% change in thickness at 80 °C) and oxidative stability (~55.5%). The proton conductivity of the membranes, higher (174.3–301.8 mS cm−1) than that of Nafion 211 (123.8 mS cm−1), was the percent conducting volume corresponding to the water uptake. The membranes were observed to comprise isolated to tailed ionic clusters of size 15–45 nm and 3–8 nm, respectively, in transmission electron microscopy images. A fuel cell containing one such material exhibited high single-cell performance—a maximum power density of 1.32 W cm2 and current density of >1600 mA cm−2 at 0.6 V. The results indicate that the material is a candidate for proton exchange membranes in fuel cell applications.

31 May 2022 in Membranes
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Journal Article
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Tzu-Sheng HuangTzu-Sheng Huang
Tzu-Sheng Huang
HWHsin-Yi Wen
Hsin-Yi Wen
YCYi-Yin Chen
Yi-Yin Chen
PHPo-Hao Hung
Po-Hao Hung
Tung-Li HsiehTung-Li Hsieh
Tung-Li Hsieh
MCMei-Ying Chang
Mei-Ying Chang
In this study, a series of high molecular weight ionomers of hexaarylbenzene- and fluorene-based poly(arylene ether)s were synthesized conveniently through condensation and post-sulfonation modification. The use a of blending method might increase the stacking density of chains and affect the formation both of interchain and intrachain proton transfer clusters. Multiscale phase separation caused by the dissolution and compatibility differences of blend ionomer in high-boiling-point solvents was examined through analysis and simulations. The blend membranes produced in this study exhibited a high proton conductivity of 206.4 mS cm−1 at 80 °C (increased from 182.6 mS cm−1 for precursor membranes), excellent thermal resistance (decomposition temperature > 200 °C), and suitable mechanical properties with a tensile strength of 73.8–77.4 MPa. As a proton exchange membrane for fuel cell applications, it exhibits an excellent power efficiency of approximately 1.3 W cm−2. Thus, the ionomer membranes have strong potential for use in proton exchange membrane fuel cells and other electrochemical applications.

14 April 2022 in Applied Nanoscience
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Journal Article
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HWHsin-Yi Wen
Hsin-Yi Wen
HHHsiang-Cheng Hsu
Hsiang-Cheng Hsu
JWJlan-Jie Weng
Jlan-Jie Weng
TWTung-En Wang
Tung-En Wang
YLYing-Kai Lin
Ying-Kai Lin
CCChia-Chin Chiang
Chia-Chin Chiang