Success Stories

Glass Furnace Model Enhancement

Lawrence Livermore National Laboratory

Vitro Glass | Lawerence Livermore National Laboratory

fact sheet

Livermore Lab is working with Vitro Glass Company to provide fast, accurate, and real-time process control in plate glass manufacturing.


iconUsing machine learning tools for fast, accurate, and real-time process control in plate glass manufacturing.
iconEngineers at Vitro Glass wanted help from the Lab to reduce the two-week time between measuring the deviation in the process control points and making the corrections to the parameters for operating furnaces.
iconA new control system based on machine learning can instantly inform the furnace operator what new set points to use when temperatures deviate from normal.
iconImprovements to the U.S. glass manufacturing industry could save 2.5 TBTUs of energy and 130,000 metric tons of carbon dioxide emissions.
iconVitro plant operators now use real-time data to adjust parameters such as furnace temperature and gas flow through the bubblers, enabling them to immediately see the resulting changes in the molten glass flow pattern.

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