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Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
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Related Experiment Video

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Patterning of Microorganisms and Microparticles through Sequential Capillarity-assisted Assembly
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Soft robotic patterning of liquids.

Giacomo Sasso1, Nicola Pugno1,2, James J C Busfield3

  • 1School of Engineering and Materials Science, Queen Mary University of London, Mile End Rd, London, E1 4NS, UK.

Scientific Reports
|September 22, 2023
PubMed
Summary
This summary is machine-generated.

A novel soft robotic mixer uses electro-responsive materials for precise liquid patterning and efficient mixing. This technology offers superior efficacy and lower temperature increases compared to conventional shakers, benefiting temperature-sensitive applications.

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Area of Science:

  • Robotics and Materials Science
  • Fluid Dynamics and Microfluidics

Background:

  • Liquid patterning is crucial for microfluidic devices, polymer structuring, and handling sensitive materials.
  • Current methods like shakers are often inefficient, noisy, energy-intensive, and can raise liquid temperatures.
  • There is a need for advanced techniques offering precise control and gentle handling of liquids.

Purpose of the Study:

  • To introduce a new soft robotic mixer utilizing electro-responsive smart materials.
  • To demonstrate the device's capability in creating and stabilizing various spatial patterns in liquids.
  • To compare its mixing efficacy and thermal impact against conventional orbital shakers.

Main Methods:

  • Development of a soft robotic mixer based on dielectric elastomer actuators.
  • Utilizing combinations of rotations and translations to manipulate liquid flow.
  • Experimental comparison of mixing efficiency and temperature changes with an orbital shaker.

Main Results:

  • The soft robotic device successfully created and maintained stable spatial liquid patterns for several minutes.
  • Achieved higher mixing efficacy (~94%) compared to orbital shakers (~80%) after 8 minutes.
  • Demonstrated significantly lower temperature increase (+1°C vs +5°C) after 6 hours of mixing.

Conclusions:

  • Electro-responsive soft robotic mixers offer a versatile and efficient alternative for liquid patterning and mixing.
  • The technology provides superior performance with reduced thermal stress, ideal for sensitive biological and chemical applications.
  • This advancement enables precise control over fluid dynamics in microfluidic and material structuring contexts.