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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1123

Title: Cognitive Approach in Castings’ Quality Control
Authors: Bast, Jürgen
Kamaev, Valeriy
Polyakova, Irina
Tikhonin, Andrey
Zabolotsky, Maxim
Kudashov, Natalia
Keywords: Castings Quality Management
Casting Defects
Expert Systems
Computer Diagnostics
Cognitive Model
Modelling
Simulation
Computing Methodologies
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: 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.
URI: http://hdl.handle.net/10525/1123
ISSN: 1313-0455
Appears in Collections:Book 5 Intelligent Technologies and Applications

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