Langbauer et al., 2022 - Google Patents
Development of an artificial neural network (ANN) model to predict the temperature of hot-rolled steel pipesLangbauer et al., 2022
View HTML- Document ID
- 11242295470258692433
- Author
- Langbauer R
- Nunner G
- Zmek T
- Klarner J
- Prieler R
- Hochenauer C
- Publication year
- Publication venue
- Advances in Industrial and Manufacturing Engineering
External Links
Snippet
One important objective in steel pipe manufacturing is to avoid rejects. In order to adequately heat each individual pipe in the furnace, the surface temperature of all pipes after rolling must be predicted accurately. A fast model is needed that can provide this …
- 230000001537 neural 0 title abstract description 26
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B45/00—Devices for surface or other treatment of work, specially combined with or arranged in, or specially adapted for use in connection with, metal-rolling mills
- B21B45/02—Devices for surface or other treatment of work, specially combined with or arranged in, or specially adapted for use in connection with, metal-rolling mills for lubricating, cooling, or cleaning
- B21B45/0203—Cooling
- B21B45/0209—Cooling devices, e.g. using gaseous coolants
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