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Bärwolf, M. 1 Diegelmann, V. 1 Ferretti, R. 1 Krambeer, H. 1 Lathe, Roger 1 Lobato, F.-N. 1 Lubrano, M. 1 Müller, C. 1 Nicoziani, M. 1 Perä, J.-O. 1
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Intelligent self-learning control of levelling processes by use of soft sensor techniques to predict residual stress and flatness (iCONTENS) : final report
Diegelmann, V. (contributor); Krambeer, H. (contributor);  … - European Commission / Directorate-General for Research … - 2016
iConTens project is focused on developing multi-physics process models for different leveller types for automated auto-adaptive set-up and advanced on-line control of flatness and residual stress using intelligent soft sensors predicting residual stresses and flatness. Bending processes around...
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