Integrated mechanistic and data-driven model for food process optimization
A digital twin tool for food process optimization, combining mechanistic and data-driven modeling to simulate and optimize food manufacturing processes in real-time.
Overview
The University of Tennessee Food Engineering laboratory has developed a pioneering digital twin tool designed to optimize food manufacturing processes. This tool integrates mechanistic models with data-driven machine learning approaches to simulate and enhance processes such as mixing, heating, extrusion, and drying. By leveraging extensive datasets from previous product developments, this tool can accommodate the complex interactions unique to each manufacturer's environment, offering real-time process adjustments and scenario evaluations.
Technical specifications
Key features:
- Mechanistic Modeling: Employs physics-based simulations to mimic food processing environments.
- Data-Driven Insights: Utilizes large datasets and machine learning to enhance process accuracy and efficiency.
- AI Capabilities: Offers real-time adjustments and predictive scenarios for manufacturing processes.
- Versatile Applications: Suitable for microwave heating, radiofrequency processing, bioreactor mixing, and more.
Technology readiness level
Currently at Technology Readiness Level 5, the model has been validated for its core capabilities and is preparing for further on-site testing and fine-tuning in collaboration with industry sponsors.
About University of Tennessee, Knoxville
The University of Tennessee, Knoxville is a comprehensive public land‑grant research university—the flagship of the UT System—classified as R1 and serving more than 40,000 students. Industry engagement is anchored by the UT Research Park at Cherokee Farm, where corporate R&D and joint university–national lab facilities sit just across the river from campus, including assets such as the Volkswagen Innovation Hub and an AT&T 5G testbed. UT’s long‑standing partnership with Oak Ridge National Laboratory—via UT‑Battelle and the UT–Oak Ridge Innovation Institute—gives companies streamlined access to national lab capabilities, talent, and joint programs. A statewide Extension network and established co‑op programs connect companies to faculty expertise and student talent across Tennessee and into federal labs. Research is supported by competitive federal sponsors such as the National Science Foundation and the U.S. Department of Energy. Commercialization is managed by the University of Tennessee Research Foundation, which handles IP, licensing, and startup formation.
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