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Related Experiment Video

Updated: May 23, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

Single-camera, three-dimensional particle tracking velocimetry.

Kevin Peterson1, Boris Regaard, Stefan Heinemann

  • 1The University of Michigan, Department of Mechanical Engineering, 1231 Beal Avenue, Ann Arbor, MI 48109, USA. petersok@umich.edu

Optics Express
|April 20, 2012
PubMed
Summary
This summary is machine-generated.

Single-Camera, Three-Dimensional Particle Tracking Velocimetry (SC3D-PTV) enables 3-component, volumetric velocity measurements using a single camera. This technique is ideal for environments with limited optical access, such as internal combustion engines.

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Last Updated: May 23, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

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Published on: February 27, 2016

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
10:53

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

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11:59

High-speed Particle Image Velocimetry Near Surfaces

Published on: June 24, 2013

Area of Science:

  • Fluid Dynamics
  • Optical Measurement Techniques
  • Engineering Applications

Background:

  • Measuring 3-component, volumetric velocity fields is crucial for understanding complex fluid flows.
  • Limited optical access, common in applications like internal combustion engines, presents significant measurement challenges.
  • Existing techniques like stereoscopic Particle Image Velocimetry (PIV) often require multiple cameras and provide planar data.

Purpose of the Study:

  • To introduce a novel single-camera, three-dimensional particle tracking velocimetry (SC3D-PTV) technique.
  • To enable 3-component, volumetric velocity measurements in environments with restricted optical access.
  • To offer an alternative to multi-camera systems for flow diagnostics.

Main Methods:

  • SC3D-PTV utilizes a single camera to capture two simultaneous images of particles.
  • Optical components are adapted from stereoscopic µPIV setups but projected onto one sensor.
  • A new PTV algorithm exploits particle image similarity for 3D velocity reconstruction.

Main Results:

  • SC3D-PTV successfully generates 3-component, volumetric velocity fields.
  • The technique avoids the need for instantaneous 3D particle field reconstruction.
  • Results are obtained from a single image sensor, simplifying hardware requirements.

Conclusions:

  • SC3D-PTV provides a viable method for volumetric velocity measurements in challenging environments.
  • The technique offers advantages over traditional stereoscopic PIV, particularly in terms of hardware simplicity.
  • SC3D-PTV is well-suited for applications with limited optical access, such as internal combustion engine research.