Meter and Analyze
Multiphase Flows in Real Time
HFIT, the Heterogeneous Flow Interpreter Transducer, is Stratos Perception's patented AI technology for real time two-phase flow metering and comprehension. Developed under NASA SBIR funding, HFIT combines machine vision with theoretical flow physics to resolve and interpret flow properties that conventional electronic and magnetic sensors cannot measure.
Acceleration field agnostic, HFIT operates accurately in space, mobile systems, and terrestrial environments including data centers.
Lunar and Space
Applications
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AI Data Centers
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Two-phase cooling is rapidly becoming the standard for managing extreme heat flux demands of high density GPU workloads in terrestrial AI data centers. HFIT provides real time metering and comprehension of two-phase cooling flows, enabling precise thermal management and control at the performance levels that next generation AI infrastructure demands.
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Space Data Centers and Lunar Infrastructure
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As AI data centers begin moving to space and lunar infrastructure expands, microgravity two-phase flow metering becomes a core systems requirement. HFIT is the only technology validated on microgravity two-phase flow data for this application, making it uniquely positioned for the thermal management demands of space computing infrastructure.
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Additional lunar and microgravity applications include:
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Two-phase flow systems: Thermal management, Propellant management, Pump protection
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Waste management: Condensable gas management, Water ISRU and reclamation, Waste processing
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Manufacturing: Materials, Medicines
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Two-Phase Flow Comprehension
HFIT applies convolutional neural networks and machine vision to make ultra-high frequency instantaneous measurements of two-phase flows with high resolution spatial accuracy, far exceeding the time-averaged and volume-averaged measurements of conventional sensors.
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Verified thermal management applications concern optically transparent two-phase fluids including cryogens, refrigerants, and water. HFIT measures compositional behaviors of phases, voids, and particulates in a flow, quantifying in real time dynamically changing sizes, distributions, velocities, deposition and reaction rates, and fission and coalescence rates. This capability far exceeds the capabilities of capacitance, ultrasonic, and other electronic sensors.
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HFIT applies first-principles and empirical analyses to dynamically quantify flow physics, including thermodynamic quality, heat flux, pressure drop, and thermal margin.