The parameters were selected and the analysis of their compliance to assess the processing complexity of castings was made. A variant of the organization of process design for the castings of varying difficulty, defined on a set of proposed geometrical parameters was proposed.
The methodical application of neural network modeling in preparation and optimization of casting technology is described. A new technique for classifying castings based on geometric relationships of the geometry of parts and information on the distribution of wall thickness in castings.
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