Use of PIV II — Lesson 3

This lesson covers the fundamental principles of Particle Image Velocimetry (PIV), a technique used to measure velocities in fluid flows. The lesson delves into the process of image capturing, processing, and the concept of interrogation windows. It further explains how captured images are divided into rectangular windows and correlated to form average displacement vectors. The lesson also discusses the importance of Fast Fourier Transform (FFT) processing in speeding up the correlation process. It highlights the differences between FFT processing in PIV and Laser Doppler Anemometry (LDA). The lesson concludes with an introduction to the cross-correlation algorithm, which is commonly used in PIV analysis.

Video Highlights

00:53 - Image capturing and processing in PIV
08:23 - Correlation process and the role of FFT processing
09:17 - Comparison between FFT processing in PIV and LDA
22:16 - Cross-correlation algorithm in PIV analysis

Key Takeaways

- Particle Image Velocimetry (PIV) is a technique used to measure velocities in fluid flows.
- The process involves image capturing, processing, and the creation of interrogation windows.
- Fast Fourier Transform (FFT) processing is used to speed up the correlation process.
- There are differences between FFT processing in PIV and Laser Doppler Anemometry (LDA).
- The cross-correlation algorithm is commonly used in PIV analysis to produce reliable results.