Fast and robust method for flow analysis using GPU assisted diffractive optical element based background oriented schlieren (BOS)

TL;DR

This paper presents a fast, noise-robust flow analysis method using GPU-accelerated diffractive optical element based background-oriented schlieren, enabling high-speed flow visualization and analysis with improved computational efficiency.

Contribution

It introduces a novel combination of fringe demodulation with root multiple signal classification and GPU implementation for efficient flow analysis using BOS.

Findings

High robustness against noise demonstrated.

Significant speed improvements with GPU implementation.

Successful analysis of liquid diffusion phenomena.

Abstract

The paper introduces a method for studying flow dynamics using diffractive optical element based background-oriented schlieren (BOS). Our method relies on fringe demodulation using root multiple signal classification technique which provides high robustness against noise. Further, a graphics processing unit (GPU) based implementation is proposed which offers significant improvement in computational efficiency, and thus enables high speed analysis of flows. The performance of the method is demonstrated via numerical simulations and the practical applicability is also shown by analyzing a diffusion phenomenon in liquids by BOS.