Server Rack Acoustic Metasurface for Noise Control Without Overheating
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Solution Overview
Problem
Existing acoustic absorbers for reducing server noise are not suitable for heat-sensitive environments as they can significantly reduce heat dissipation, leading to high heat levels that can impair server performance and cause shutdowns.
Innovation Solution
Designing a noise-suppressing metasurface using Helmholtz resonators that absorb sound without significantly increasing heat levels, utilizing 3D printing technology and machine learning to tailor the metasurface to specific server noise profiles, ensuring efficient sound absorption and ventilation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If existing acoustic absorbers (foam panels, fabric-wrapped panels) are used to reduce server noise, then sound absorption is improved, but heat dissipation is significantly reduced
Solution Approach 1:
The patent uses porous acoustic absorber material that allows sound waves to penetrate and be absorbed while maintaining airflow channels for heat dissipation. The porous structure absorbs acoustic energy through friction and air resistance while the interconnected voids permit thermal convection and conduction, resolving the contradiction between noise reduction and heat dissipation.
Solution Approach 2:
The patent employs composite acoustic absorber structures combining different materials with complementary properties - some components optimized for sound absorption and others for thermal management. This composite approach enables simultaneous achievement of noise reduction and heat dissipation functions that single materials cannot provide alone.
2Object-affected harmful factors
If acoustic absorbers are placed in server racks to reduce fan noise, then noise is reduced, but server performance may be impaired due to overheating
Solution Approach 1:
The porous acoustic absorber material provides acoustic attenuation while maintaining thermal pathways. The interconnected pore structure allows air flow necessary for cooling servers, preventing overheating-induced performance degradation or shutdowns while still reducing fan noise to acceptable levels.
Solution Approach 2:
The patent applies acoustic absorbers with locally optimized properties at different locations within the server rack. Areas with higher thermal loads use absorbers with enhanced thermal conductivity or airflow properties, while noise-critical areas use absorbers optimized for acoustic performance, achieving both reliability and noise reduction.
3Object-affected harmful factors
If acoustic absorbers are used to reduce server noise, then sound intensity is reduced, but heat levels increase leading to potential shutdowns
Solution Approach 1:
The porous structure of the acoustic absorber material creates a dual-function system: the porous matrix absorbs sound energy through viscous losses and thermal conduction, while the same porosity provides channels for convective heat removal. This resolves the contradiction by allowing both noise reduction and heat level control through the same material structure.
Solution Approach 2:
The acoustic absorber material acts as an intermediary between the noise-generating fans and the surrounding environment, and simultaneously serves as a thermal management component. The material mediates both acoustic and thermal energy transfer, converting sound energy to heat while facilitating heat dissipation through its structure, preventing heat accumulation that would lead to shutdowns.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The metasurface effectively suppresses noise while maintaining thermal efficiency, achieving high sound absorption rates without thermal throttling, and can be customized for individual server models or racks using machine learning.
Implementation Method 1
Designing a noise-suppressing metasurface using Helmholtz resonators that absorb sound without significantly increasing heat levels
Implementation Method 2
These absorbers function by capturing sound waves and converting their energy into heat, effectively reducing the intensity of the sound waves
Data Source
AI summary
The technology described herein is directed towards estimating noise peak data for a group of devices of a server rack based on hardware component feature data. The hardware component feature data for each device is input to a first model trained with respective noise profile data measured from respective devices; the respective noise profile data is maintained in association with respective hardware component feature data of the respective devices. The first model learns the relationships between the respective noise profile data and the respective hardware component feature data. The first model estimates the noise profile data/noise peaks for any individual unmeasured devices, which is input into a second model that estimates the noise peaks for the group of devices. Based on the estimated noise peak data, a design process determines unit cell parameters for a customized metasurface that suppresses the noise emanating from the server/server's fan(s).