Sonic-Sift: A Filterless Acoustic Agglomeration-Based Ultrasonic Air Purification Reactor with Dynamic Resonance Calibration

Sonic-Sift is a proprietary, experimental cyber-physical system architecture designed to disrupt traditional HEPA-based mechanical air filtration. Instead of forcing air through a physical mesh that suffers from pressure drop and clogging, Sonic-Sift utilizes 40 kHz high-frequency acoustic standing waves, fluid dynamics, and inertial impaction to physically separate and isolate airborne micro-particles (PM2.5 and PM10). Dynamic speed-of-sound calibration is executed in real time by an asymmetric dual-core ESP32-S3 neural node polling ambient thermodynamic variables. Once sub-micron particles collide and agglomerate via the orthokinetic effect, high-inertia clusters (Stk >> 1) are separated from the purified air stream using Coanda-effect intake geometry and NACA airfoil exhaust bypass routes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23816396
Primary Topic
Aerosol Filtration and Electrostatic Precipitation
Type
article
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article

Sonic-Sift: A Filterless Acoustic Agglomeration-Based Ultrasonic Air Purification Reactor with Dynamic Resonance Calibration

Alp Arslan Sayın
3 links
Zenodo (CERN European Organization for Nuclear Research)
Aerosol Filtration and Electrostatic Precipitation
article

Sonic-Sift: A Filterless Acoustic Agglomeration-Based Ultrasonic Air Purification Reactor with Dynamic Resonance Calibration

Alp Arslan Sayın
article en

Abstract

Sonic-Sift is a proprietary, experimental cyber-physical system architecture designed to disrupt traditional HEPA-based mechanical air filtration. Instead of forcing air through a physical mesh that suffers from pressure drop and clogging, Sonic-Sift utilizes 40 kHz high-frequency acoustic standing waves, fluid dynamics, and inertial impaction to physically separate and isolate airborne micro-particles (PM2.5 and PM10). Dynamic speed-of-sound calibration is executed in real time by an asymmetric dual-core ESP32-S3 neural node polling ambient thermodynamic variables. Once sub-micron particles collide and agglomerate via the orthokinetic effect, high-inertia clusters (Stk >> 1) are separated from the purified air stream using Coanda-effect intake geometry and NACA airfoil exhaust bypass routes.

Zenodo (CERN European Organization for Nuclear Research)
Atatürk University (TR)
Openalex Percentile: Top 24%
Aerosol Filtration and Electrostatic Precipitation
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