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ITHEA Classification Structure > I. Computing Methodologies  > I.6 SIMULATION AND MODELING  > I.6.5 Model Development 
COGNITIVE APPROACH IN CASTINGS’ QUALITY CONTROL
By: Polyakova et al. (4146 reads)
Rating: (1.00/10)

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. The authors suggest using cognitive approach to modeling and simulation. Cognitive approach gives us a unique opportunity to bind all the discovered factors into a single cognitive model and work with them jointly and simultaneously. The method of cognitive modeling (simulation) should provide the foundry industry experts a comprehensive instrument that will help them to solve complex problems such as: predicting a probability of the defects’ occurrence; visualizing the process of the defects’ forming (by using a cognitive map); investigating and analyzing direct or indirect “cause-and-effect” relations. 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.

Keywords: castings quality management, casting defects, expert systems, computer diagnostics, cognitive model, modeling, simulation.

ACM Classification Keywords: I.6.5 Computing Methodologies - Simulation and Modelling Model Development - Modeling methodologies

Link:

COGNITIVE APPROACH IN CASTINGS’ QUALITY CONTROL

Irina Polyakova, Jürgen Bast, Valeriy Kamaev, Natalia Kudashova, Andrey Tikhonin

http://foibg.com/ijita/vol16/IJITA16-4-p05.pdf

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I.6.5 Model Development
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