Methodology of automatic quality control of aluminium castings

• Autorzy: Dobrzański L. A. , Krupiński M. , Sokolowski J. H.
• Konferencja: 12th International Scientific Conference CAM3S'2006, 27-30th November 2006, Gliwice-Zakopane
• Języki publikacji: EN

Abstrakty

EN

Purpose: Employment of the artificial intelligence tools for development of the methodology of the automated assessment of quality and structural defects in the Al and Mg alloys and the custom made computer software will make it possible to determine the quality of the manufactured element based on the digital images registered in the X-ray flow detection examinations. The possibility to correlate the frequency and morphology of defects with the technological process parameters will make it also possible to identify and classify these defects and control the process to minimise and eliminate them. Design/methodology/approach: The developed design methodologies both the material and technological ones will make it possible to improve shortly the quality of materials from the light alloys in the technological process, and the automatic process flow correction will make the production cost reduction possible, and - first of all - to reduce the amount of the waste products. Findings: The merit of the project consists in the interdisciplinary joining of the knowledge in the area of light metal alloys, including Al and/or Mg, in the area of materials processing connected with the entire scope of problems connected with manufacturing of products and their elements, in the area of the automated low-pressure die casting, and also in the methodology of structure and properties assessment of the engineering materials with, among others, the X-ray flaw detection and computer image analysis methods. Practical implications: The developed methodology of the automated assessment of quality and properties of the light Al and Mg based alloys may used by manufacturers of subassemblies and elements of engines (e.g., car engine bodies made from the light alloys with the low-pressure casting in the sand moulds). Originality/value: The project's effects will be shortening the time needed for analyses and elimination of manu subjective evaluation errors made by humans.

Słowa kluczowe

EN

automation of technological process; Al-Si-Cu; neural networks; image analysis; cast defects

PL

automatyzacja procesów technologicznych; Al-Si-Cu; sieci neuronowe; analiza obrazu; wady odlewnicze

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2007
• Tom: Vol. 20, nr 1-2
• Strony: 69--78
• Opis fizyczny: Bibliogr. 22 poz., fot., rys., tab.

Twórcy

autor

Dobrzański L. A.

autor

Krupiński M.

autor

Sokolowski J. H.

• Division of Materials Processing Technology Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18 a, 44-100 Gliwice, Poland,

Bibliografia

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