Computational Aeroacoustics (CAA)
Predict, Analyze, and Silence Noise at the Source
In modern engineering, performance is no longer measured solely by efficiency or speed, it is also measured by sound. Excessive noise from fluid flow is a major indicator of energy loss and a primary concern for regulatory compliance and user comfort.
At Aadnys Technologies, we utilize advanced Computational Aeroacoustics (CAA) to help you identify noise sources and develop mitigation strategies before a single physical prototype is built.
Our Technical Approach
Predicting noise requires capturing tiny pressure fluctuations that are orders of magnitude smaller than the mean flow. We employ high-fidelity methodologies to ensure precision:
Hybrid CAA Approaches:
We decouple the flow simulation from the acoustic propagation, using tools like Lighthill’s Acoustic Analogy to predict noise in the far-field efficiently.
Scale-Resolving Simulations (SRS):
We utilize Large Eddy Simulation (LES) and Detached Eddy Simulation (DES) to capture the transient turbulent structures that are the primary drivers of aeroacoustics noise.
Vibro-Acoustics:
Analyzing how flow-induced pressure fluctuations excite structural vibrations (Flow-Induced Vibration), leading to secondary noise radiation.
Aeroacoustics is the ultimate test of CFD fidelity
We don’t just show you where the air goes; we show you how the air sounds.
Spectral Analysis:
We provide detailed sound pressure level (SPL) plots, Power Spectral Density (PSD), and 1/3 Octave band analysis to correlate with your experimental data.
Source Identification:
We use acoustic power maps to pinpoint exactly which part of your geometry is generating the most noise, allowing for targeted design changes.
Regulatory Compliance:
We help you meet ISO and industry-specific noise standards during the virtual design phase, significantly reducing the need for expensive anechoic chamber testing.
Let’s Work Together
Further case studies available upon request. Please provide some information on your project or goals and we’ll move the conversation on from there.