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Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
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High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
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Boolean logic by convective obstacle flows.

S J Bartlett1,2, Y L Yung1

  • 1Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA.

Proceedings. Mathematical, Physical, and Engineering Sciences
|September 20, 2019
PubMed
Summary
This summary is machine-generated.

Simple fluid flows can perform Boolean logic operations, mimicking natural computing. This research explores heat-driven convection for computation, bypassing electronics.

Keywords:
Boolean logiccomputationconvection

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Area of Science:

  • Physics
  • Natural Computing
  • Fluid Dynamics

Background:

  • Traditional computing relies on electronics.
  • Exploring alternative computation paradigms is crucial for innovation.

Purpose of the Study:

  • To investigate heat-driven fluid flows for Boolean logic operations.
  • To demonstrate natural computing capabilities in convective systems.

Main Methods:

  • Utilizing a 2D single-phase fluid heated from below and cooled from above.
  • Implementing two obstacles on the mid-plane to control momentum extraction.
  • Binary control of horizontal momentum extraction as 2-bit input.
  • Thresholded energy extraction measurement as system output.

Main Results:

  • Fluid system successfully performed OR, XOR, and NAND logic gates.
  • Input-output relationships were dependent on threshold and obstacle separation.
  • Demonstrated binary logic operations without electronics, chemistry, or multiple fluid phases.

Conclusions:

  • Convective fluid flows offer a novel mode for natural computing.
  • These systems show potential for performing general computations.
  • Highlights a new avenue for computation beyond conventional methods.