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This study presents an infrared optical imaging system for detecting air bubbles in oil. The system effectively visualizes air-oil two-phase flow, offering potential for enhanced industrial monitoring.

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Area of Science:

  • Optical Engineering
  • Fluid Dynamics
  • Infrared Technology

Background:

  • Detecting air bubbles in oil is crucial for monitoring two-phase flow in various industrial applications.
  • Traditional methods may face limitations in opaque or dynamic fluid environments.
  • Infrared (IR) imaging offers a non-invasive approach for probing such systems.

Purpose of the Study:

  • To develop and evaluate an optical imaging system using infrared light for detecting air bubbles in oil.
  • To analyze the optical phenomena (absorption, reflection, refraction) at air-oil interfaces.
  • To investigate the influence of temperature variations on IR-based oil flow imaging.

Main Methods:

  • Utilized an infrared light source (8-12 μm) and a 31x32 thermopile array for image generation.
  • Developed a numerical model to study light-matter interactions at air-oil boundaries.
  • Conducted experiments to assess the system's performance in static oil and oil-air two-phase flow, considering temperature effects.

Main Results:

  • The developed system successfully detected air bubbles and visualized air flow in oil.
  • Numerical analysis revealed that light refraction, not absorption, predominates for small air bubbles (below a critical diameter).
  • The system achieved imaging through up to 12 mm of oil, demonstrating feasibility for practical applications.

Conclusions:

  • Infrared optical imaging is a viable technique for detecting air bubbles in oil and monitoring oil-air two-phase flow.
  • Understanding the interplay of refraction and absorption is key for optimizing IR imaging in such systems.
  • Further enhancements with optimized IR sources and detectors can extend the imaging depth and improve performance.