Reducing the Percentage of Defective Castings Using the Neural Network Modeling Method-Reference-Cited by-同舟云学术

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Reducing the Percentage of Defective Castings Using the Neural Network Modeling Method

Published:2024-03-25 Issue: Volume:2 Page:477-481
ISSN:
Container-title:2024 International Russian Smart Industry Conference (SmartIndustryCon)
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Author:

Yasnitsky Leonid N.¹,Rabchevsky Andrey N.²,Martynenko Sergey V.³

Affiliation:

1. Perm State University,Department of Applied Mathematics and Informatics

2. Computer Science and Technology Institute, Perm State University,Perm,Russia

3. Ural Federal University named after. B.N YeItsin, branch in Nizhny Tagil,Department of Metallurgical Technologies,Nizhny Tagil,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515306/10515316/10515412.pdf?arnumber=10515412

Reference15 articles.

1. Effect of Alloying Elements on the Mechanical Properties of the Stable Austenitic Stainless Steel.

2. Mathematical models of the dependence of the mechanical properties of sheet steel of category A537 I A537M on the melting chemical composition;Ryabinkina;Bulletin of the Azov State Technical University,2004

3. The influence of chemical composition of steel 76F on the quality of rails;Mashekov;Modem Problems of Science and Education,2015

4. The Influence of Chemical Element on Properties of Deformed Steel Bar

5. Influence of the chemical composition on steel casting performance

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