Cognitive Approach in Castings’ Quality Control


Autoria(s): Bast, Jürgen; Kamaev, Valeriy; Polyakova, Irina; Tikhonin, Andrey; Zabolotsky, Maxim; Kudashov, Natalia
Data(s)

12/04/2010

12/04/2010

2008

Resumo

Every year production volume of castings grows, especially grows production volume of non-ferrous metals, thanks to aluminium. As a result, requirements to castings quality also increase. Foundry men from all over the world put all their efforts to manage the problem of casting defects. In this article the authors present an approach based on the use of cognitive models that help to visualize inner cause-and-effect relations leading to casting defects in the foundry process. The cognitive models mentioned comprise a diverse network of factors and their relations, which together thoroughly describe all the details of the foundry process and their influence on the appearance of castings’ defects and other aspects.. Moreover, the article contains an example of a simple die casting model and results of simulation. Implementation of the proposed method will help foundry men reveal the mechanism and the main reasons of casting defects formation.

Identificador

1313-0455

http://hdl.handle.net/10525/1123

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Castings Quality Management #Casting Defects #Expert Systems #Computer Diagnostics #Cognitive Model #Modelling #Simulation #Computing Methodologies
Tipo

Article