2014
DOI: 10.2174/1874088x01408010114
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A Scaling Model for Predicting the Gas-Channel Formation Period in Crater-Like Electrospinning of Nanofibers

Abstract: Abstract:Crater-like electrospinning is a novel and cost-effective method for the mass scale production of nanofibers. The gas channel in the polymer solution plays a key role to produce a bubble Taylor cone or a crater-like Taylor cone, which is the key to eject the thin fluid jets (finally solidified into nanofibers) in electrospinning process. However, the formation mechanism of gas channel of crater-like Taylor cone is still unclear, which hinders further development of this process. In this work, a simple… Show more

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“…Electrospinning has promising applications in filtering [1][2][3], sensing [4,5], and biomedical [6,7] fields owing to its excellent ability to produce nanofibers with high surface-tovolume ratio. Typically, electrospinning utilizes single needle to spray polymeric solution on conducting substrate for fabrication of nonwoven mats [8][9][10]. Electrospinning also develops by using coaxial needle [11,12] and needleless surface [13] to emit solutions, by employing semiconducting silicon [14] and even dielectric substrate [15] to collect filaments, and/or by providing various composite solutions [16][17][18] to functionalize deposits.…”
Section: Introductionmentioning
confidence: 99%
“…Electrospinning has promising applications in filtering [1][2][3], sensing [4,5], and biomedical [6,7] fields owing to its excellent ability to produce nanofibers with high surface-tovolume ratio. Typically, electrospinning utilizes single needle to spray polymeric solution on conducting substrate for fabrication of nonwoven mats [8][9][10]. Electrospinning also develops by using coaxial needle [11,12] and needleless surface [13] to emit solutions, by employing semiconducting silicon [14] and even dielectric substrate [15] to collect filaments, and/or by providing various composite solutions [16][17][18] to functionalize deposits.…”
Section: Introductionmentioning
confidence: 99%