Xinhou Wang

Donghua University

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Xiaoxia Sun

Jiangxi Science and Technology Normal University

Wanli Han

Jiaxing University

Changjie Chen

Jiangxi University of Finance and Economics

Changjie Chen

Soochow University

Deogratias Nurwaha

Université du Burundi

Fangdong Zou

Donghua University

Guangwu Sun

Shanghai University of Engineering Science

Sanfa Xin

Shanghai University of Engineering Science

Xiubao Huang

Donghua University

Kun Zhang

Donghua University

Cooperative Institutions

Donghua University

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Soochow University

Ministry of Education of the People's Republic of China

Swiss Federal Laboratories for Materials Science and Technology

Xi'an Jiaotong University

Fudan University

Dalian University of Technology

Shanghai University of Engineering Science

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Modeling and Prediction of Electrospun Fiber Morphology using Artificial Intelligence Techniques

Global Journal of Technology and Optimization (2021)

Deogratias Nurwaha Xinhou Wang

This study presents the application of Artificial Intelligence (AI) techniques to predict the morphology of nanofibers produced by needless electrospinning method. Two straight and parallel copper wire electrodes electrospinning method was used to produce nanofibers. Using digital image processing software Image Journal, Mean Nanofiber Diameter (MFD) and Nanofiber Diameter Standard Deviation (NFSD) have been measured and recorded. Adaptive Neuro-Fuzzy Inference Systems (ANFIS), Support Vector Machines (SVMs) and Gene Expression Programming (GEP) methods were used for prediction of electrospun nanofiber morphology. Prediction results and experimental were compared. It was found that SVMs model has better predictive power in comparison with both ANFIS and Gene Expression Programming models. However, results provided by both GEP and ANFIS are also acceptable. The relative importance of process parameters as contributor to the nanofiber morphology was also investigated. It was found that nanofiber morphology was strongly or weakly dependent on processing parameters.

Electrospinning

Gene expression programming

Morphology

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Citations (3)

Carbon nanotube yarn based thermoelectric textiles for harvesting thermal energy and powering electronics

Journal of Materials Chemistry A (2019)

Yuanyuan Zheng Qihao Zhang Wen‐Long Jin Yuanyuan Jing Xinyi Chen

We explore the fabric structural effect of thermoelectric textiles on power generation and achieve high power density for practical applications.

Thermoelectric generator

Power density

Carbon fibers

10.1039/c9ta12494b

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Citations (138)

Study on airflow field and fiber motion with new melt blowing die

Polymer Engineering and Science (2019)

Wanli Han Sheng Xie Jing Shi Xinhou Wang

In this study, a new melt‐blowing die was studied with the computational fluid dynamic approach. A bead‐viscoelastic element fiber model was established to model three‐dimensional paths of the fiber motion with the standard linear solid (SLS) constitutive equation in different airflow fields. The effects of this newly designed die on the velocity field, temperature field, and turbulence fluctuation field at the centerline were studied and compared with the traditional melt blowing die. The fiber motion was simulated and compared with the airflow field of different dies. The simulations results demonstrated that the new die was able to reduce the velocity fluctuations of the air flow near the outlet of the polymer capillary and generate the higher centerline air velocity and temperature. The fiber attenuation and motion were related to the centerline air velocity, temperature, and turbulent fluctuation in the melt blowing process. POLYM. ENG. SCI., 59:1182–1189 2019. © 2019 Society of Plastics Engineers

10.1002/pen.25098

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Citations (13)

Theoretical and experimental studies on the fabrication of cylindrical-electrode-assisted solution blowing spinning nanofibers

e-Polymers (2021)

Wenxing Zheng Changwei Shi Yabing Hu Xinhou Wang Yiheng Wang

Abstract Cylindrical-electrode-assisted solution blowing spinning (CSBS) is a novel technique of fabricating nanofibers. In this paper, a combination of numerical simulation, theoretical analysis, and experiment is used to study the influences of CSBS airflow field and electric field on the fabrication of CSBS nanofibers for the first time. The effects of air pressure and injection speed on the morphology of CSBS fiber are studied. The research results show that the increase in air pressure will increase the centerline velocity and the centerline turbulence intensity within the effective stretching distance of the airflow. The increase in centerline velocity will result in a decrease in the diameter of CSBS fibers. There is a negative correlation between jet diameter and surface charge density of CSBS jet. The increase in air pressure will increase the stretching of the jet by the air flow, which will make the jet more likely to become thinner again because of the charge repulsion. Increasing air pressure will reduce the porosity of the nonwoven. As the injection speed increases, the diameter of CSBS fiber increases, and the porosity of the nonwoven decreases first and then increases. This work provides theoretical and experimental bases for the controllable preparation of CSBS nanofibers.

10.1515/epoly-2021-0040

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Citations (8)

Multi-objective optimization of the coat-hanger die for melt-blowing process

Fibers and Polymers (2012)

Wanli Han Xinhou Wang

Manifold (fluid mechanics)

Isothermal process

10.1007/s12221-012-0626-6

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Citations (14)

Measurement of the Dynamic Permeability of Airbag Fabrics

Ceshi jishu xuebao (2007)

Xinhou Wang

A new method is proposed for measuring the dynamic permeability of airbag fabrics.The measuring device is composed of a driver chamber and a driven chamber separated by a polyester diaphragm.An airbag fabric sample is clamped at the end of the open driven chamber.When the driver chamber is charged with air to a certain pressure,the diaphragm ruptures.Meanwhile the air in the driver chamber discharges into the driven chamber and a high pressure is built up in the driven chamber quickly.And then the pressure decreases gradually due to the permeable structure of airbag fabrics.The air permeability of the airbag fabric is thus determined by measuring the pressure trace in the driven chamber.

Airbag

Diaphragm (acoustics)

Chamber pressure

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Citations (2)

Modeling melt blowing fiber with different polymer constitutive equations

Fibers and Polymers (2016)

Wanli Han Xinhou Wang

Microfiber

10.1007/s12221-016-5721-7

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