Why Server Noise Is Decided Long Before Testing
Server and data center equipment noise is driven almost entirely by airflow: high speed cooling fans, turbulence around heat sinks, and air moving through tightly packed chassis. By the time a physical prototype exists, most of the design decisions that determine the noise output have already been locked in, and fixing a noise problem at that stage usually means costly rework or a redesign of the cooling path. Capturing this kind of flow generated noise accurately requires resolving the turbulent flow structures that produce it, not just an average flow field.

Webinar Scope
In this webinar, 4RealSim will show how high fidelity, scale resolving CFD simulation predicts flow generated noise early in server and data center hardware development. Unlike traditional RANS based approaches, which model turbulence rather than resolve it, scale resolving methods capture the unsteady, time transient flow behavior responsible for tonal and broadband noise, giving engineers a much more accurate view of expected noise performance before any physical testing begins. Participants will see how this approach applies specifically to server cooling fans, heat sinks, and chassis airflow paths.

Topics Covered

• Why airflow generated noise in server hardware is fundamentally an unsteady, scale resolving problem

• Limitations of traditional RANS simulation for predicting fan and chassis noise

• Scale resolving simulation approaches: capturing turbulence rather than modelling it

• How boundary layers, shear layers, and flow separations drive noise generation in tight chassis airflow

• Simulating server cooling fans, heat sinks, and airflow paths

• Linking simulation results to noise ratings and acoustic metrics

• Reducing the number of physical test iterations needed to reach a target noise rating

• Computational efficiency: getting high fidelity results without excessive computing cost

What Simulation Delivers

• Early, accurate insight into flow generated noise before a prototype exists

• Better prediction of noise sources than traditional RANS based methods

• Fewer costly physical test and redesign cycles

• Clear insight into which design features drive noise, and by how much

• A faster, more predictable path to a target noise rating

Who Should Attend?

• Engineers and product developers designing server or data center cooling systems

• Acoustic and NVH engineers working on server noise targets

• Teams facing late-stage noise surprises during physical testing

• Anyone evaluating simulation to reduce physical test dependency for noise performance