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.
Saved in:
Main Authors: | I. B. Odarchenko, V. A. Zharanov, I. N. Prusenko |
---|---|
Format: | Article |
Language: | English |
Published: |
Belarusian National Technical University
2019-01-01
|
Series: | Литьë и металлургия |
Subjects: | |
Online Access: | https://lim.bntu.by/jour/article/view/2434 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The stability of the internal cavities of steel casting
by: I. B. Odarchenko, et al.
Published: (2019-04-01) -
Defects in castings during high‑pressure casting and measures to prevent their formation
by: V. I. Chechukha, et al.
Published: (2024-04-01) -
Basic principles of the continuous casting technology development for machine‑building blanks
by: E. B. Demchenko, et al.
Published: (2022-10-01) -
MULTIPURPOSE (WEARPROOF AND ANTIFRICTIONAL) COVERINGS ON PRODUCTS FROM CAST IRON
by: A. P. Laskovnev, et al.
Published: (2015-11-01) -
Optimization of 3D Printed Patterns for the Hybrid Investment Casting Technology
by: R. Štěpán, et al.
Published: (2024-12-01)