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Analysis and classification of tem¬perature measurements during melting and casting of alloys using neural networks
Izvestiya Visshikh Uchebnykh Zavedenii Chernaya Metallurgiya = Izvestiya Ferrous Metallurgy
The article considers the issues of monitoring the thermal conditions of alloys melting and casting at foundries. It is noted that the least reliable method is when the measurement and fixing the temperature is assigned to the worker. On the other hand, a fully automatic approach is not always available for small foundries. In this regard, the expediency of using an automated approach is shown, in which the measurement is assigned to the worker, and the values are recorded automatically. Thisdoi:10.17073/0368-0797-2020-10-856-861 fatcat:kxekhcgd5ncajdvelbt6q5e2uq