Algorithm Research of Pattern Recognition for Process Control of Electrospinning

Abstract:

Electrospinning is kind of unique craft to fabricate nanoscale fiber in the condition of high-voltage electric field. However, due to the nanoscale diameter manufacturing, it is a challenge to get the whole manufacturing process stable at certain level. For that sake, this paper figures out the monitor method for the electrospinning equipment, which solves the former matter as well as makes the fiber generating process in control. According to the method, CCD camera is put forward to make the detection of the Taylor cone image continuously, while pattern recognition algorithm is used to real-time monitor the shape and size of Taylor cone which indicate the stable process of electrospinning. In order to get the stable Taylor cone shape, the processing result is used as feedback signal for control system of the electrospinning equipment to coordinate the feeding module or power supply module. As a result, the problem of nonuniformity and uncontrollable about electrospinning has been solved effectively; what's more, experiments testify that this method is reliable and effective.

• Periodical: Advanced Materials Research (Volumes 314-316)
• Pages: 1987-1990
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.314-316.1987
• Online since: August 2011
• Authors: Da Li Liu, Chang Juan Jing, Yuan Yuan Liu, Qing Xi Hu
• Keywords: CCD Camera, Electro-Spinning, Pattern Recognition, Process Control, Taylor Cone

References

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