Related Experiment Video
Updated: Jan 12, 2026

09:48
Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
Published on: November 7, 2016
12.4K
Advanced optical measurement techniques for simultaneous fibre orientation and flow analysis complemented by machine
Tim Vaupel1, Florian Gerland2, Thomas Schomberg2
1Department of Fluid Dynamics, University of Kassel, Kassel, 34125, Germany. t.vaupel@uni-kassel.de.
Scientific Reports
|November 7, 2025
Summary
A novel measurement technique visualizes fluid flow and fiber orientation simultaneously. This method enhances understanding of how flow dynamics influence fiber alignment in materials like concrete substitutes and polymer melts.
Area of Science:
- Fluid Dynamics
- Materials Science
- Optical Measurement Techniques
Background:
- Understanding fiber orientation in fluid suspensions is crucial for material properties.
- Existing methods often lack the resolution or simultaneity to capture dynamic orientation processes.
- Transparent fluids like concrete substitutes and polymer melts present unique challenges for visualization.
Purpose of the Study:
- To develop and present a novel time-resolved, quasi-simultaneous measurement method for fiber orientation and flow velocity.
- To visualize and better understand the flow-related fiber orientation process.
- To analyze the interplay between velocity fields and fiber motion.
Main Methods:
- A PIV-based (Particle Image Velocimetry) measurement stand was engineered for simultaneous flow and fiber analysis.
- Phosphorescence imaging under black light was employed to visualize individual fibers within the transparent fluid.
- A random forest algorithm was utilized for accurate fiber detection with minimal training data and processing time.
Main Results:
- The study successfully visualized the dynamic process of fiber orientation in relation to fluid flow.
- A strong fiber orientation effect was observed near the interfering body's vicinity.
- The method allowed for detailed analysis of rapid orientation changes and combined velocity vector fields with fiber motion.
Conclusions:
- The developed measurement method provides unprecedented insight into flow-induced fiber orientation.
- The random forest algorithm offers an efficient and accurate approach for fiber detection in complex fluids.
- This technique is valuable for optimizing material processing and predicting the performance of fiber-reinforced composites.

