Abstract
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.
Highlights
The authors tested output values forecasting in NF&S system on the basis of variable parameters of the thermal 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
Starting from the 90s of the last century, a distinct trend can be observed in scope of use of dedicated methods and computer systems for modeling and simulation of production processes [1,2,3,4,5,6]
Summary
Starting from the 90s of the last century, a distinct trend can be observed in scope of use of dedicated methods and computer systems for modeling and simulation of production processes [1,2,3,4,5,6]. The authors indicate possibilities of synergy of both groups of modeling (hard and soft), on example of aiding the hard modeling on the basis of tools applied in soft modeling. It was aimed at significant acceleration of obtaining end results from a hard model in some specific cases, not related to 3D modeling. The above mentioned approach will help to reduce time of modeling of production processes with use of link between soft and hard modeling and it is an encouragement to apply such solutions in production companies and research institutes. It was a kind of simplification, which is often made for the molding sand, in case of testing of a simulation code
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