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Your search keyword '"Yi, Xiaosu"' showing total 408 results
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408 results on '"Yi, Xiaosu"'

5. Free Vibration Analysis of Laminated Composite Plate with a Cut-Out

Author

Zhou, Chen, Zhu, Yingdan, Yi, Xiaosu, Yang, Jian, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Dimitrovová, Zuzana, editor, Biswas, Paritosh, editor, Gonçalves, Rodrigo, editor, and Silva, Tiago, editor

Published
2023
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25. Sound Absorption Performance of Ultralight Honeycomb Sandwich Panels Filled with "Network" Fibers— Juncus effusus.

Author

Liu, Zhao, Dong, Chenhao, Tong, Lu, Rudd, Chris, Yi, Xiaosu, and Liu, Xiaoling

Subjects
ABSORPTION of sound, ARTIFICIAL neural networks, HONEYCOMB structures, NATURAL fibers, FIBERS, NOISE control, SANDWICH construction (Materials)
Abstract

This study investigates lightweight and efficient candidates for sound absorption to address the growing demand for sustainable and eco-friendly materials in noise attenuation. Juncus effusus (JE) is a natural fiber known for its unique three-dimensional network, providing a viable and sustainable filler for enhanced sound absorption in honeycomb panels. Microperforated-panel (MPP) honeycomb absorbers incorporating JE fillers were fabricated and designed, focusing on optimizing the absorber designs by varying JE filler densities, geometrical arrangements, and MPP parameters. At optimal filling densities, the MPP-type honeycomb structures filled with JE fibers achieved high noise reduction coefficients (NRC) of 0.5 and 0.7 at 20 mm and 50 mm thicknesses, respectively. Using an analytical model and an artificial neural network (ANN) model, the sound absorption characteristics of these absorbers were successfully predicted. This study demonstrates the potential of JE fibers in improving noise mitigation strategies across different industries, offering more sustainable and efficient solutions for construction and transportation. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Biopolymers and Biocomposites

Author

Yi, Xiaosu, Tong, Jianfeng, Zhang, Xvfeng, Zhu, Jin, Liu, Xiaoqing, Xian, Guijun, Li, Yan, Ding, Fangbo, Rudd, Chris, Liu, Xiaoling, Khalili, Pooria, Pantelakis, Spiros, editor, and Tserpes, Konstantinos, editor

Published
2020
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31. Rheological behavior of rosin-sourced anhydride bio-epoxy resin system

Author

ZHANG Xufeng, LI Dihui, QI Xi, TONG Jifeng, and YI Xiaosu

Subjects
bio-based, epoxy resin, rheology model, fitting research, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Abstract

Viscosity is the main rheology parameter of thermosetting resin matrix processing, which is an important factor effecting processing performance. The viscosity-temperature curves at dynamic states and viscosity-time curves at stead state were measured by cone-plate rotate viscosimeter, and the rheology property of bio-based resin system based on rosin-sourced anhydride curing agent was studied according to the optimization improved six parameter dual-arrhenius equation. Two kinds of rheology models were established by fitting reaction rate constant K and pre-exponential factor A according to the exponential or logarithm viscosity relative equation, respectively. The rheology model based on logarithm viscosity relative equation simulation was in good agreement with experimental data than exponential viscosity relative equation fitting. The rheology model demonstrated the law of viscosity change at different processing conditions, which provided necessary scientific basis for processing parameter optimization.

Published
2021
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