Project

ALSO 4.0
Increasing the efficiency of an aluminium furnace by the use of intelligent control modules, extended sensors and innovative solution methodology in the combustion technology

The production of molten aluminium is an energy intensive process. To increase energy and material efficiency, machine learning can be used to learn models from sensor data used to control processes. The aim is to develop an adaptive partial control system to determine the optimum process parameters so that the performance can be adapted to melting material. This increases the degree of automation of the entire furnace.

Contact persons:
D. Schweers

Funded by:
BMWi

Duration:
01.06.2017 - 30.11.2020

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Printed: 22.11.2024
© 2011 by Universität Bremen, Germany
Source: http://www.ips.biba.uni-bremen.de/projekt.html?&L=1.