Integration of neural models in the process of technological preparation of the production of castings
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.
Main Authors: | I. B. Odarchenko, V. A. Zharanov, I. N. Prusenko |
---|---|
Format: | Article |
Language: | English |
Published: |
Belarusian National Technical University
2019-01-01
|
Series: | Litʹë i Metallurgiâ |
Subjects: | |
Online Access: | https://lim.bntu.by/jour/article/view/2434 |
Similar Items
-
The stability of the internal cavities of steel casting
by: I. B. Odarchenko, et al.
Published: (2019-04-01) -
Residual stresses in castings produced by press die casting technology
by: D. Novoselović, et al.
Published: (2015-01-01) -
Technological Assessment of the Possibility of Making Light-section Castings of GX2CrNiMoN25-6-3 Cast Steel by the Centrifugal Casting Method
by: Stradomski G., et al.
Published: (2015-09-01) -
Focus on development of quality, high pressure die casting process
by: I. Peter, et al.
Published: (2019-03-01) -
Sharing casting technological data on web site
by: Li Hailan, et al.
Published: (2008-11-01)