Abstract
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.
Highlights
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
В перспективе развитие применения нейросетевого моделирования для проектирования и оптимизации технологии производства отливок в серийном и массовом производстве отливок из железоуглеродистых сплавов позволит в значительной степени автоматизировать процесс принятия решений по параметрам проектирования литниково-питающих систем, скорости заливки, применению фильтрации расплавов и способов питания отливок
Summary
The methodical application of neural network modeling in preparation and optimization of casting technology is described. Б. Интеграция нейросевых моделей в процессы технологической подготовки производства отливок / И. Analysis of casting technology, classification of technological complexity of castings, process of technological preparation of production. N. Integration of neural models in the process of technological preparation of the production of castings.
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