Computer aided detection of sources of product defects

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Computer aided detection of sources of product defects

Andrzej Kochański

Politechnika Warszawska.

DOI:

https://doi.org/10.7494/cmms.2005.1.0070

Abstract:

Manufacturing of products without defects is potentially possible in two ways: severe selection of faulted final products or improvement of the manufacturing technology. The paper deals with the problem of detection of defects of metallic casts. The main objective of the work is elaboration of the methodology, based on the artificial neural network approach, of classification of the industrial data and prediction of parameters initiating defects in casts. The presented method can be treated as an advisory system for foundry engineers.

Cite as:

Kochański, A. (2005). Computer aided detection of sources of product defects. Computer Methods in Materials Science, 5(1-2), 33 – 37. https://doi.org/10.7494/cmms.2005.1.0070

Article (PDF):

Keywords:

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References:

Maciaszczyk, A. (2003). Rozdział 3 Ewolucja metod zarządzania jakością i początki systemów zarządzania jakością. Materiały konferencyjne "Gospodarka i Społeczeństwo w obliczu zmian" – opracowanie naukowe pracownikow nauk. – dydakt. Katedry Inżynierii Systemów Produkcji Politechniki Gdańskiej, Sobieszewo.

Perzyk, M., Kochański, A., Detection of causes of casting defects assisted by artificial neural networks, J. Manufacturing Engineering, part B, 217, 1279-1284.