Li Zhang
Li Zhang has a total of 31 co-authors. Here are the top co-authors by number of shared publications:
Dou Feng
Technology Center, Nantong Zhuhai Kunming Cellulose Fibers Co., Ltd., Nantong, China
1 shared publication- Guang-Qing Feng
School of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo, China
1 shared publication H. J. Huang
Nantong Cellulose Fibers Company Limited Nantong, Nantong, China
1 shared publicationH. X. Shi
Nantong Cellulose Fibers Company Limited Nantong, Nantong, China
1 shared publicationHai-Jian Huang
Nantong Cellulose Fibers Co., Ltd., Nantong 226007, China
1 shared publicationJianhua Cao
Technology Center, Nantong Zhuhai Kunming Cellulose Fibers Co., Ltd., Nantong, China
1 shared publication
Latest Publications
- 14 April 2025
- Published by Elsevier in Carbohydrate Polymers
- Vol. 360, 123616
Unveiling the structural characteristics of acetone-insoluble substances in various cellulose diacetate
- 14 April 2025
- Published by Elsevier in Carbohydrate Polymers
- Vol. 360, 123616
Unveiling the structural characteristics of acetone-insoluble substances in various cellulose diacetate
- 1 July 2024
- Published by Springer Nature in Strength of Materials
- Vol. 56 (4) , 874-881
Study on the Effect of TiO2 Particles on the Wear of the Inner Wall of Spinneret
- 1 July 2024
- Published by Springer Nature in Strength of Materials
- Vol. 56 (4) , 874-881
Study on the Effect of TiO2 Particles on the Wear of the Inner Wall of Spinneret
- 28 January 2024
- Published by Springer Nature in Fibers and Polymers
- Vol. 25 (3) , 751-763
Electrically Conductive Polypyrrole@keratin Nanofiber Membranes with Potential for Tissue Restoration
- 28 January 2024
- Published by Springer Nature in Fibers and Polymers
- Vol. 25 (3) , 751-763
Electrically Conductive Polypyrrole@keratin Nanofiber Membranes with Potential for Tissue Restoration
- 1 January 2023
- Published by World Scientific Pub Co Pte Ltd in Fractals
- Vol. 31 (09)
FRACTAL PULL-IN MOTION OF ELECTROSTATIC MEMS RESONATORS BY THE VARIATIONAL ITERATION METHOD
The dynamic pull-in instability of a microstructure is a vast research field and its analysis is of great significance for ensuring the effective operation and reliability of micro-electromechanical systems (MEMS). A fractal modification for the traditional MEMS system is suggested to be closer to the real state as a practical application in the air with impurities or humidity. In this paper, we establish a fractal model for a class of electrostatically driven microstructure resonant sensors and find the phenomenon of pull-in instability caused by DC bias voltage and AC excitation voltage. The variational iteration method has been extended to obtain approximate analytical solutions and the pull-in threshold value for the fractal MEMS system. The result obtained from this method shows good agreement with the numerical solution. The simple and efficient operability is demonstrated through theoretical analysis and results comparisons.
- 1 January 2023
- Published by World Scientific Pub Co Pte Ltd in Fractals
- Vol. 31 (09)
FRACTAL PULL-IN MOTION OF ELECTROSTATIC MEMS RESONATORS BY THE VARIATIONAL ITERATION METHOD
The dynamic pull-in instability of a microstructure is a vast research field and its analysis is of great significance for ensuring the effective operation and reliability of micro-electromechanical systems (MEMS). A fractal modification for the traditional MEMS system is suggested to be closer to the real state as a practical application in the air with impurities or humidity. In this paper, we establish a fractal model for a class of electrostatically driven microstructure resonant sensors and find the phenomenon of pull-in instability caused by DC bias voltage and AC excitation voltage. The variational iteration method has been extended to obtain approximate analytical solutions and the pull-in threshold value for the fractal MEMS system. The result obtained from this method shows good agreement with the numerical solution. The simple and efficient operability is demonstrated through theoretical analysis and results comparisons.
- Open Access
- 1 January 2020
- Published by National Library of Serbia in Thermal Science
- Vol. 24 (4) , 2653-2659
A fractal model for pressure drop through a cigarette filter
A fractal model for pressure drop through a cigarette filter is suggested, the fractal dimensions of both a single fiber and the filter?s cross-sections are calculated, which are two main factors affecting the pressure drop. The two-scale transform is made to convert the fractal derivative model on a smaller scale to an approximate continuous model on a larger scale, so that the model can be easily solved. An optimal filter structure is suggested for minimal pressure drop.
- 1 January 2020
- Published by National Library of Serbia in Thermal Science
- Vol. 24 (4) , 2653-2659
Open AccessA fractal model for pressure drop through a cigarette filter
A fractal model for pressure drop through a cigarette filter is suggested, the fractal dimensions of both a single fiber and the filter?s cross-sections are calculated, which are two main factors affecting the pressure drop. The two-scale transform is made to convert the fractal derivative model on a smaller scale to an approximate continuous model on a larger scale, so that the model can be easily solved. An optimal filter structure is suggested for minimal pressure drop.