Electrospinning, one of the most effective ways of producing nanofibers, has been applied in as many fields throughout its long history. Starting with far-field electrospinning (FFES) and advancing to the near-field, the application area has continued to expand, but lack of understanding of the exact jet speed and fiber deposition rate is a major obstacle to entry into precision micro- to nano-scale manufacturing. In this paper, we, for the first time, analyze and predict the jet velocity and deposition rate in near-field electrospinning (NFES) through novel image analysis process. Especially, analog image is converted into a digital image, and then, the area occupied by the deposited fiber is converted into a velocity, through which the accuracy of the proposed method is proved to be comparable to direct jet speed measurement. Finally, we verified the proposed method can be applied to various process conditions without performing delicate experiments. This research not only will broaden the understanding of jet speed and fiber deposition rate in NFES but also will be applicable to various areas including patterning of the sensor, a uniform arrangement of nanofibers, energy harvester, reinforcing of composite, and reproducing of artificial tissue.
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September 2018
This article was originally published in
Journal of Micro and Nano-Manufacturing
Research-Article
A Quantification of Jet Speed and Nanofiber Deposition Rate in Near-Field Electrospinning Through Novel Image Processing
Jonghyun Kim,
Jonghyun Kim
Department of Mechanical Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Search for other works by this author on:
Dongwoon Shin,
Dongwoon Shin
Department of Mechanical Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Search for other works by this author on:
Kyu-Bum Han,
Kyu-Bum Han
Nanobiotechnology Laboratory,
Department of Material Science and Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Department of Material Science and Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Search for other works by this author on:
Jiyoung Chang
Jiyoung Chang
Department of Mechanical Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Search for other works by this author on:
Jonghyun Kim
Department of Mechanical Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Dongwoon Shin
Department of Mechanical Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Kyu-Bum Han
Nanobiotechnology Laboratory,
Department of Material Science and Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Department of Material Science and Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
Jiyoung Chang
Department of Mechanical Engineering,
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
University of Utah,
Salt Lake City, UT 84112
e-mail: [email protected]
1Corresponding author.
Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MICRO-AND NANO-MANUFACTURING. Manuscript received February 8, 2018; final manuscript received March 23, 2018; published online May 3, 2018. Editor: Nicholas Fang.
J. Micro Nano-Manuf. Sep 2018, 6(3): 031002 (6 pages)
Published Online: May 3, 2018
Article history
Received:
February 8, 2018
Revised:
March 23, 2018
Citation
Kim, J., Shin, D., Han, K., and Chang, J. (May 3, 2018). "A Quantification of Jet Speed and Nanofiber Deposition Rate in Near-Field Electrospinning Through Novel Image Processing." ASME. J. Micro Nano-Manuf. September 2018; 6(3): 031002. https://doi.org/10.1115/1.4039794
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