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Temperature Setpoint Optimization in Steel Reheat Furnaces Using Open Architecture Neural Network and Modeling Software

Published: November 20, 2020


Reheat furnaces are widely used in the steel and metallurgical industries to heat metal slabs to the proper temperatures for rolling, forging, or extruding. Reheat furnaces all face common challenges typically:

  • Inefficient energy use
  • Difficult to use control systems
  • High reject rates

Download our white paper to learn how a Midwest U.S. steel manufacturer leveraged the Griffin AI Toolkit to optimize their reheat furnaces and were able to achieve fuel use reduction of 12% and reduction in slag of 1%.

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