A non-invasive, in-line ultrasonic sensor using Effective Bulk Modulus Elastography (EBME) for real-time viscosity and flow characterization of complex food matrices such as gravies and slurries. It measures density and bulk modulus without sample intrusion or shear degradation, enabling millisecond-scale, continuous quality assurance on active production lines.
This technology is a non-invasive, in-line acoustic sensor system that uses Effective Bulk Modulus Elastography (EBME) to deliver rapid, continuous viscosity and flow characterization of complex, heterogeneous food matrices such as gravies, slurries, and other opaque multi-phase products. Conventional food viscometry relies on offline sampling, which introduces lag, clogging risk, and shear degradation of sensitive products. This sensor eliminates those issues by measuring directly in active, flowing lines without any sample intrusion.
The system provides millisecond-scale quality assurance feedback, enabling continuous monitoring with zero downtime. Its hygienic, non-intrusive architecture is designed to integrate seamlessly into existing sanitary pipelines, making it suitable for food processing environments where cleanliness and uninterrupted production are critical.
How it works: A flush-mounted or clamp-on monostatic ultrasonic transducer transmits high-frequency longitudinal pulses into the flow stream. By simultaneously measuring acoustic impedance and time-of-flight sound velocity, the system directly computes real-time density and dynamic bulk modulus using the relationship K = ρ × c², where ρ is density and c is sound velocity.
Key features:
The underlying EBME technology is already proven in prior applications and is currently being adapted for in-line food rheology and flow monitoring through a structured three-phase validation plan: sensor and flow-cell integration, baseline calibration against benchtop rotational rheometers across diverse heterogeneous food matrices, and multi-phase flow loop validation to ensure drift-free viscosity and flow tracking under real production conditions. The technology is at an early-to-mid stage of development for this specific application, with validation planned over approximately six months.
The University of North Texas is a comprehensive public research university in Denton, part of the UNT System, serving a large and diverse student body with broad academic programs. A dedicated research campus brings engineering and science together with shared user facilities, advanced instrumentation, prototyping spaces, and technology transfer support that speed collaboration with industry. Its Dallas–Fort Worth location offers ready access to major corporate R&D, suppliers, and testing partners, supported by project-based engagements, internships, and sponsored capstones. Research is backed by competitive federal funding from agencies such as the National Science Foundation, Department of Defense, and Department of Energy, alongside state and industry support.