High-Speed Imaging Breakthrough at Zhejiang Sci-Tech University Solves Fiber Manufacturing Bottleneck

By SinceVision, SinceVision
07/08/2026
3 minutes

In the manufacturing of high-performance air filtration materials, electrospinning bimodal fibers is a highly effective, yet historically unpredictable, process. A recent breakthrough published in Separation and Purification Technology (Vol. 386) demonstrates how the integration of advanced high-speed machine vision is replacing traditional "trial-and-error" manufacturing with precise, deterministic process control.

The "Invisibility" Challenge in Electrospinning

The structural integrity of bimodal fiber webs, which directly dictates filtration efficiency and pressure drop and relies on the splitting behavior of a polymer jet under high voltage.

However, this jet splitting occurs on a millisecond timescale. Traditional observation methods and standard industrial cameras cannot capture these rapid transient dynamics. Consequently, researchers and manufacturers have long relied on analyzing final Scanning Electron Microscope (SEM) images after production is complete. This post-process approach lacks direct, real-time evidence of the jet’s morphological evolution, creating a significant bottleneck for the industrialization of bimodal fibers.

 

 

High-Speed Vision as the Core Solution

To overcome this visibility challenge, researchers at Zhejiang Sci-Tech University and the China Textile Academy integrated high-speed imaging technology directly into the electrospinning apparatus.

The research team utilized the SinceVision SH6-109-M-40-12T high-speed camera as the core observation device. Operating at 9,500 frames per second (with capabilities up to 750,000 fps for more extreme applications), the camera continuously captured the morphology of the electrospinning jets under varying solution concentrations and voltages.


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By freezing the high-speed fluid dynamics, the hardware allowed researchers to:

  • Identify the exact timing of primary and secondary jet formation.
  • Visually confirm that the main jet maintains a coarse diameter while secondary jets form fine diameters.
  • Establish a direct mapping relationship between operating parameters and final fiber distribution.

 

 

Measurable Production Optimization

Guided by the real-time visual data provided by the SinceVision camera, the research team optimized the fiber structure to achieve unprecedented results.

The optimized bimodal fiber web achieved a 99.974% filtration efficiency with an ultralow pressure drop of only 54.4 Pa, closely matching theoretical predictions for optimal performance.

By capturing millisecond-scale behaviors that were previously invisible, high-speed imaging hardware is proving to be a mandatory tool not just for academic research, but for advanced automated manufacturing and quality control environments where precision is non-negotiable.

Explore the Full Technical Breakdown

While the peer-reviewed paper highlights the material science breakthroughs, understanding the exact imaging methodology and camera parameters is crucial for vision system engineers and R&D professionals looking to replicate this level of control.

SinceVision has published a comprehensive breakdown of the hardware application, complete with the experimental data, quantitative analysis, and high-speed jet evolution methodology.

Read the complete technical article and view the experimental data on the SinceVision website.

 

MEET THE AUTHOR

Shenzhen SinceVision Technology Co. Ltd.

SinceVision is a sensor technology manufacturer for 3D laser profilers, high-speed cameras, laser displacement sensors, sCMOS cameras, spectral confocal displacement sensors, full-spectrum sensors, and through-beam edge sensors.

Discover how Shenzhen SinceVision Technology Co. Ltd. can support your automation journey with their complete range of solutions and expertise.

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Shenzhen SinceVision Technology Co. Ltd. Vision Technology Provider

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SinceVision is a sensor technology manufacturer for 3D laser profilers, high-speed cameras, laser displacement sensors, sCMOS cameras, spectral confocal displacement sensors, full-spectrum sensors, and through-beam edge sensors.