MATEC Web Conf.
Volume 121, 20178th International Conference on Manufacturing Science and Education – MSE 2017 “Trends in New Industrial Revolution”
|Number of page(s)||8|
|Published online||09 August 2017|
Synergy of modeling processes in the area of soft and hard modeling
Poznan University of Technology, Institute of Materials Technology, Piotrowo 3 street, Poland
* Corresponding author: firstname.lastname@example.org
High complexity of production processes results in more frequent use of computer systems for their modeling and simulation. Process modeling helps to find optimal solution, verify some assumptions before implementation and eliminate errors. In practice, modeling of production processes concerns two areas: hard modeling (based on differential equations of mathematical physics) and soft (based on existing data). In the paper the possibility of synergistic connection of these two approaches was indicated: it means hard modeling support based on the tools used in soft modeling. It aims at significant reducing the time in order to obtain final results with the use of hard modeling. Some test were carried out in the Calibrate module of NovaFlow&Solid (NF&S) simulation system in the frame of thermal analysis (ATAS-cup). The authors tested output values forecasting in NF&S system (solidification time) on the basis of variable parameters of the thermal model (heat conduction, specific heat, density). Collected data was used as an input to prepare soft model with the use of MLP (Multi-Layer Perceptron) neural network regression model. The approach described above enable to reduce the time of production process modeling with use of hard modeling and should encourage production companies to use it.
© The Authors, published by EDP Sciences, 2017
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