Server Noise Metasurface Tuning Without Thermal Throttling
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Solution Overview
Problem
Existing acoustic absorbers for mitigating server noise increase heat levels, which can reduce server performance and cause shutdowns due to inadequate heat dissipation.
Innovation Solution
Designing customized metasurfaces using Helmholtz resonators and machine learning to absorb specific frequencies without significantly increasing heat, utilizing 3D printing for fabrication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If existing acoustic absorbers (foam panels, fabric-wrapped panels) are used to absorb server noise, then noise is reduced, but heat dissipation is significantly reduced causing high heat levels
Solution Approach 1:
The patent changes the physical parameters of the acoustic absorption material by using porous metal foam with controlled porosity (30-70%) and pore size (0.1-10 mm), replacing traditional foam panels. This parameter change allows the material to maintain acoustic absorption properties while improving thermal conductivity and heat dissipation capability.
Solution Approach 2:
The patent employs composite material structures combining metal foam with acoustic absorption coatings or treatments. The metal foam provides both acoustic absorption and thermal management functions, creating a multi-functional composite material that simultaneously reduces noise and maintains heat dissipation.
2Object-affected harmful factors
If acoustic absorbers are placed near servers to reduce noise, then noise suppression is improved, but server performance is reduced due to overheating
Solution Approach 1:
By changing the material parameters to use porous metal foam with optimized porosity and pore size, the system achieves both noise suppression and adequate heat dissipation, preventing thermal throttling and maintaining server performance and reliability.
3Object-affected harmful factors
If traditional acoustic absorbers are used in server environments, then noise is mitigated, but the absorbers are not suitable for heat-sensitive environments
Solution Approach 1:
The patent modifies the material parameters by using metal foam with controlled porosity (30-70%) and pore size (0.1-10 mm), transforming the material properties to be suitable for heat-sensitive server environments while maintaining acoustic absorption effectiveness.
Solution Approach 2:
The use of composite material structures combining metal foam with acoustic treatments creates a versatile solution that adapts to server environments, providing both noise mitigation and thermal management compatibility.
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
Achieves high noise suppression efficiency while maintaining thermal performance by optimizing metasurfaces for individual server models, ensuring effective noise reduction without thermal throttling.
Implementation Method 1
Designing customized metasurfaces using Helmholtz resonators to absorb specific frequencies
Implementation Method 2
They are typically engineered using porous materials with intricate structures that allow sound waves to penetrate deep into the material, where the acoustic energy is dissipated as thermal energy through friction and air resistance
Data Source
AI summary
The technology described herein is directed towards collecting detailed noise spectra measured from one or more servers (or similar devices) via an array of microphones, which can be positioned to capture the noise spectra in a suitable test environment. Based on the noise spectra, a metasurface of unit cells based on the principles of Helmholtz resonators, is designed. The noise spectra are maintained in a data store/database, along with hardware feature data of the measured device. The database returns the server noise profile, from which a metasurface's unit cell design parameters suitable for server noise suppression are configured, e.g., printed by a 3D printer and deployed for use with the server. The database can be used for a non-measured server with similar hardware feature data to measured servers, to estimate the noise peaks of the non-measured server from which a noise-canceling metasurface's unit cell parameters can be determined.