Microstructure monitor and process simulation

Löffler, Hans Ulrich; Gade, Dirk; Doli, Rüdiger; Müller, Hans‐Martin; Peuker, Thomas; Sörgel, Günter

doi:10.1016/s1474-6670(17)37027-1

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Hybrid modelling techniques provide a valuable modelling tool combining different modelling approaches in one dynamic model [3]. The hybrid model efficiently combines black-box data-driven models (neuro-fuzzy) and white-box models (physical equations).…”

Section: Introductionmentioning

confidence: 99%

Microstructure modelling of hot deformation of Al–1%Mg alloy

Talamantes-Silva

Abbod

Puchi-Cabrera

et al. 2009

Materials Science and Engineering: A

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This study presents the application of the finite element method and intelligent systems techniques to the prediction of microstructural mapping for aluminium alloys. Here, the material within each finite element is defined using a hybrid model. The hybrid model is based on neuro-fuzzy and physically based components and it has been combined with the finite element technique. The model simulates the evolution of the internal state variables (i.e. dislocation density, subgrain size and subgrain boundary misorientation) and their effect on the recrystallisation behaviour of the stock. This paper presents the theory behind the model development, the integration between the numerical techniques, and the application of the technique to a hot rolling operation using aluminium, 1wt% magnesium alloy. Furthermore, experimental data from plane strain compression (PSC) tests and rolling are used to validate the modelling outcome. The results show that the recrystallisation kinetics agree well with the experimental results for different annealing times. This hybrid approach has proved to be more accurate than conventional methods using empirical equations.

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Section: Introductionmentioning

confidence: 99%

Microstructure modelling of hot deformation of Al–1%Mg alloy

Talamantes-Silva

Abbod

Puchi-Cabrera

et al. 2009

Materials Science and Engineering: A

View full text Add to dashboard Cite

show abstract

“…Hybrid modelling techniques such as semi-physical grey-box modelling provide a good modelling tool that combines different modelling approaches in one-dynamic model (Loffler et al, 2000). The hybrid model consists of black-box model components (neurofuzzy) and white-box model components (physical equations) that work together synergistically.…”

Section: Introductionmentioning

confidence: 99%